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Tracking Setup — Do Luong Truoc Khi Chay Ads · minhnv0807 | DecimalAI

Marketingby minhnv0807

Tracking Setup — Do Luong Truoc Khi Chay Ads

Setup he thong tracking truoc khi chay ads: Pixel + Conversion API, GA4, UTM convention, event mapping, offline conversion, va checklist verify xanh truoc khi len camp. Quy tac cung: khong chay ads khi tracking chua verify. Kich hoat khi user nhac 'setup tracking', 'pixel', 'UTM', 'conversion API', 'CAPI', 'GA4', 'do luong campaign'.

Never made a case worseMaintained

SkillScore

SkillScore68/100

Test results 68

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

36%68%of test cases passed +32 pts

Without skill8 of 22

With skill15 of 22

7 fixed8 passed either way7 still failing0 broke

Measured on gemini-3.6-flash9/3/2026v2 · latest is v3

This benchmark measured an earlier version of the skill.

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskChúng tôi sắp xuất khẩu hàng thủ công mỹ nghệ sang thị trường EU và California (Mỹ). Website bán lẻ Shopify của chúng tôi cần chuẩn bị những thiết lập pháp lý và kỹ thuật đo lường gì về privacy/consent trước khi chạy Google Ads và Meta Ads?

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add minhnv0807-53-tracking-setup
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install minhnv0807-53-tracking-setup

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/minhnv0807-53-tracking-setup/SKILL.md https://app.decimal.ai/s/minhnv0807-53-tracking-setup/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/minhnv0807-53-tracking-setup/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add minhnv0807-53-tracking-setup

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("minhnv0807-53-tracking-setup")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/minhnv0807-53-tracking-setup/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add minhnv0807-53-tracking-setup

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/minhnv0807-53-tracking-setup/SKILL.md https://app.decimal.ai/s/minhnv0807-53-tracking-setup/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-53-tracking-setup/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/minhnv0807-53-tracking-setup/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/minhnv0807-53-tracking-setup.json

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v3 (v2 tested 9/3/2026)
Source: minhnv0807/ai-business-skills ↗
License: MIT

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

Tracking Setup — Do Luong Truoc Khi Chay Ads

Quy tac van hanh chung: skills/vi/references/quy-tac-van-hanh.md (dac biet quy tac 2, 3, 7).

Ads khong co tracking = lai xe bit mat. QUY TAC CUNG: khong chay ads khi tracking chua verify xanh — chay la lang phi 100%. Setup dung tu dau; sua tracking giua campaign lam hong data lich su.

Thu thap thong tin

Hoi toi da 4 cau:

Platform chay ads? Meta / TikTok / Google / Zalo / YouTube — va objective: Lead (form/inbox) / Purchase / Traffic?
Website / landing page dung gi? WordPress / Ladipage / Webflow / Shopify / Custom — co quyen sua header hoac cai GTM khong?
Co developer ho tro khong? (quyet dinh cach cai CAPI: partner integration hay code)
Chot don o dau? Tren web (do duoc bang pixel) hay qua inbox/goi dien (can lead log + offline conversion)?

Nguyen tac

Khong chay ads khi tracking chua xanh. Moi dong tien chi truoc khi verify la tien mu.
Setup dung tu dau. Doi event/pixel giua campaign = data lich su khong so sanh duoc.
1 cach cai duy nhat. Cai ca GTM lan hard-code = duplicate event = data ao gap doi.
UTM nhat quan. Dat sai 1 lan la GA4 loc khong noi — dinh nghia convention truoc, ca team dung chung.
Do den tan don, khong dung o lead. 1000 lead ma 10 don thi phai biet loi o ads hay o sales — can offline conversion / lead log.

Quy trinh

Buoc 1 — Setup theo platform

Meta Ads — Pixel + CAPI (bat buoc ca hai):

Tao Pixel trong Events Manager; cai len website qua GTM hoac header
Setup Standard Events: PageView, ViewContent, Lead, Purchase
Verify bang Meta Pixel Helper — trang thai Active
Setup Conversions API (CAPI) — bat buoc sau iOS 14; uu tien partner integration (Ladipage, WordPress plugin, Shopify) neu khong co dev
Bat dedup (event_id trung nhau giua pixel va CAPI)
Test Events: bam thu form/nut → thay event trong Events Manager
Event Match Quality (EMQ) >= 6.0 (gui them email/phone/ten qua CAPI de tang match)

TikTok Ads:

Tao + cai TikTok Pixel; setup Events: ViewContent, SubmitForm, Purchase
Setup Events API neu co the; verify bang TikTok Pixel Helper

Google Ads:

Tao Conversion Action; cai Google Tag (gtag.js) hoac qua GTM
Link GA4 voi Google Ads; import goal tu GA4
Chi de ENABLED conversion dung cho bidding — tranh dem trung

Zalo Ads: cai Zalo Pixel, setup conversion, verify. YouTube Ads: dung chung conversion tracking cua Google Ads.

Buoc 2 — UTM convention

https://domain.com/lp?utm_source=[source]&utm_medium=[medium]&utm_campaign=[campaign]&utm_content=[ad_name]

Parameter	Quy uoc	Vi du
utm_source	facebook / tiktok / google / zalo / email	facebook
utm_medium	paid_social / paid_search / display / email / organic	paid_social
utm_campaign	`[product]_[audience]_[MMYY]`	course-a_cold_0726
utm_content	`[creative-type]_[hook-type]_[version]` — khop ten ad	vid_pain_v1

Quy tac: viet thuong, khong dau, khong khoang trang. utm_content phai trung ten ad trong 52-account-structure de doi chieu 2 chieu Ads Manager ↔ GA4.

Buoc 3 — Event mapping GA4

Event GA4	Trigger	Map voi platform event
page_view	Tat ca trang	PageView (Meta), ViewContent (TikTok)
view_item	Xem trang san pham/offer	ViewContent (Meta)
generate_lead	Submit form / click inbox	Lead (Meta), SubmitForm (TikTok), Conversion (Google)
purchase	Thanh toan thanh cong	Purchase (Meta/TikTok/Google)

Moi event chi fire 1 lan cho 1 hanh dong. Dat conversion chinh trong GA4 = event khop objective ads.

Buoc 4 — Offline conversion & Lead Log

Ap dung khi chot don qua inbox / goi dien / tai quay (pho bien o VN):

Lead Log — ghi moi lead ngay khi nhan, moi hang 1 lead: ID | Ngay vao | Ten | SDT | Kenh nguon | Loai tuong tac (inbox/form/goi) | Trang thai (moi/qualified/chot/khong chot) | Ly do khong chot | Doanh thu neu chot | Sales phu trach. Hoi moi khach "biet minh qua kenh nao?" ngay cau dau.
Offline conversion import: upload danh sach chot don (SDT/email + thoi gian) len Meta Offline Events / Google Ads offline conversion theo tuan — de thuat toan hoc tu don that, khong chi lead.
Doi chieu thang: so lead trong Lead Log vs so lead Ads Manager bao — lech nhieu (moc 20% la heuristic, tu dieu chinh theo du an) la dau hieu can dieu tra tracking hoac attribution. Upload danh sach chi khi co co so dong y (xem Buoc 4b).

Buoc 4b — Dong y thu thap du lieu (bat buoc neu co traffic ngoai VN)

Nghia vu phap ly (VN): du lieu ca nhan thu qua pixel, form, Lead Log tuan theo Luat BVDLCN 91/2025/QH15 + ND 356/2025/ND-CP (hieu luc 2026-01-01) — xem skills/vi/references/phap-ly-marketing-vn.md muc 2 (kiem tra van ban goc tai vbpl.vn / thuvienphapluat.vn). Khong tu dien giai dieu khoan o day.

Thuc hanh tot (best practice, KHONG phai tro ly phap ly) — cac buoc consent trong setup tracking:

Dat CMP / consent banner TRUOC khi cac tag khong thiet yeu (pixel quang cao, remarketing) duoc fire; o dong y khong tick san.
Voi traffic EEA, bat Consent Mode v2 khi Google yeu cau [kiem tra Google docs ngay setup — yeu cau doi theo thoi gian].
Luu log dong y (ai, chon gi, luc nao, phien ban chinh sach nao).
Chi upload Custom Audience / Customer Match khi da co co so dong y cho muc dich quang cao (hub muc 2).

Neu co bat ky traffic tu EU/UK hoac California (khach Viet kieu, ban hang xuyen bien gioi, du hoc, xuat khau), cac yeu cau sau ap dung theo luat nuoc ngoai va quy dinh nen tang — doi chieu van ban goc / tai lieu nen tang, khong chi dua vao bang nay:

Vung	Yeu cau	Hau qua neu thieu
EU / UK	CMP nam trong danh sach doi tac cua Google (neu ap dung; kiem tra trang chinh sach Google ngay setup) + Google consent mode v2 (4 tin hieu: `ad_storage`, `analytics_storage`, `ad_user_data`, `ad_personalization`, mac dinh `denied` truoc khi user tra loi banner)	Meta yeu cau CMP cho traffic EU; Google mat personalized ads va audience feature (verify on EUR-Lex cho GDPR / ePrivacy)
California	Nut tu choi ban/chia se du lieu, ton trong tin hieu Global Privacy Control, bat Limited Data Use tren Meta cho traffic California	Rui ro phap ly theo luat California — hoi luat su
Toan cau	Tag khong duoc ban truoc khi co dong y; luu log dong y (ai, chon gi, luc nao, phien ban chinh sach nao)	Khong chung minh duoc tuan thu khi bi kiem tra

Danh sach email/SDT upload lam Custom Audience hoac Customer Match cung phai co dong y tuong ung — xem 14-email-marketing.

Nguyen tac nhap truoc, ghi sau (quy tac 7): moi thay doi len tag / pixel / CAPI / consent dang chay, hoac upload danh sach khach, chi soan thanh khoi de xuat (Hien tai / De xuat / Rollback / Nguoi duyet) — nguoi duyet co ten dong y cho dung khoi do roi moi ap dung, sau do doc lai va ghi log.

Ghi vao file ket qua: dung CMP nao, chan vung nao, ai verify.

Buoc 5 — Checklist verify XANH truoc khi len camp

Tat ca phai PASS — thieu 1 muc = KHONG LAUNCH:

Pixel fire dung tren landing page + thank you page (Pixel Helper xanh)
Conversion event dung loai (Lead/Purchase) — khong nham PageView
Khong duplicate event (1 hanh dong = 1 event trong Events Manager)
CAPI hoat dong, dedup bat, EMQ >= 6.0
Test Events: tu bam thu 1 conversion va thay no ghi nhan (chi la buoc so bo — xem luu y duoi)
Bang chung end-to-end: 1 don / lead THAT di tu click den backend/CRM, truy duoc bang ID (order_id / lead_id / event_id)
UTM day du tren tat ca link ads, dung convention
GA4 nhan duoc session tu nguon paid (test bang realtime)
Lead Log san sang (neu chot qua inbox/goi dien)

Luu y: "Test Events xanh" KHONG phai bang chung. No chi cho thay 1 event test den duoc nen tang. Bang chung la 1 don/lead that duoc truy het chuoi (click → pixel/CAPI → backend/CRM) bang ID. Khi so lieu lech giua platform, GA4 va backend → chay quy trinh trong references/chan-doan-lech-so-lieu.md (nguon su that, phan loai lech, double-sender, thank-you guard, bien ban doi soat) truoc khi doi budget hay sua tag.

Buoc 6 — Daily / weekly check sau launch

Daily (2 phut): Events Manager 24h co event deu khong; Google Ads conversions dang ghi; GA4 co session tu paid. Weekly: CAPI match rate (moc 70% la heuristic); co duplicate event khong; so lead 3 nguon (Ads Manager / GA4 / Lead Log) lech trong moc chap nhan duoc (heuristic 20%, chinh theo du an); UTM co link nao thieu/sai.

Xu ly su co

Van de	Nguyen nhan thuong gap	Cach fix
Pixel khong fire	Cai sai vi tri / thieu tren LP	Check GTM preview, hard-code lai header
Event duplicate	Cai ca GTM lan hard-code	Chon 1 cach, go cach kia; check event_id dedup
CAPI match rate thap	Khong gui email/phone	Them customer data vao payload CAPI
Conversion khong ghi	Sai ten event / sai trang trigger	Check chinh ta event, trigger dung thank you page
GA4 lech xa Ads Manager	Attribution window khac nhau + UTM thieu	Chuan hoa UTM, so sanh cung window
Lead nhieu nhung khong ro nguon	Quen hoi kenh, khong ghi Lead Log	Bat buoc cau hoi nguon trong script sales

Cau truc ket qua

Ten file: tracking-setup-[ten-san-pham]-[YYYYMMDD].md

# Tracking Setup — [San pham/Campaign]
Platform: [danh sach] · Website: [nen tang] · Objective: [Lead/Purchase]

## 1. Checklist setup theo platform  [bang trang thai tung muc]
## 2. UTM convention               [bang parameter + vi du cua project]
## 3. Event mapping                [bang GA4 ↔ platform events]
## 4. Offline conversion & Lead Log [cach ghi + lich upload]
## 5. Verify truoc launch          [checklist xanh — ngay verify + nguoi verify]
## 6. Lich check daily/weekly      [ai lam, luc nao]

Lien ket skill

52-account-structure: setup campaign SAU khi tracking xanh; utm_content khop ten ad.
54-media-plan: plan xac dinh objective → quyet dinh event can track.
21-audit-ads-performance: audit toan bo tai khoan, gom ca tracking; lech so lieu (EMQ, duplicate, match rate) phat hien o do thi chuyen ve skill 53 de chan doan va sua.
11-thiet-lap-kenh: setup kenh va tai san (page, OA, website) truoc tracking.
13-phan-tich-du-lieu: doc data sach tu he thong tracking nay.

Checklist chat luong

Du checklist setup cho moi platform se chay
UTM convention co bang quy uoc + vi du thuc te, khop naming ads
Event mapping day du tu page_view den purchase
Co phuong an offline conversion / Lead Log neu chot ngoai web
Checklist verify xanh day du — ghi ro trang thai tung muc
Co lich daily/weekly check va nguong canh bao (heuristic: match rate 70%, lech 20% — ghi ro la heuristic)
Nhac lai quy tac: tracking chua xanh = khong launch

About this skill

Automatic

Marketing & Content pack

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v8 — 11/1/2026

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IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

minhnv0807 / ai-business-skills

skills/vi/53-tracking-setup/SKILL.md

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License MITImported 11/1/2026Version v3Bundled 1 file

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Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

minhnv0807/53-tracking-setup-globalUse when the user needs to set up or fix conversion tracking before running ads: Meta Pixel and Conversions API, Google Ads conversion tracking with Enhanced Conversions, GA4, TikTok Pixel and Events API, server-side GTM, consent management for GDPR and CCPA, UTM conventions, iOS ATT attribution windows, and the pre-launch verification checklist. Trigger on 'tracking setup', 'pixel setup', 'conversions API', 'CAPI', 'GA4 setup', 'server-side tracking', 'consent mode', 'UTM convention', or 'conveClose match+23 pts pass-rate lift

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Tracking Setup — Do Luong Truoc Khi Chay Ads

Thu thap thong tin

Nguyen tac

Quy trinh

Buoc 1 — Setup theo platform

Buoc 2 — UTM convention

Buoc 3 — Event mapping GA4

Buoc 4 — Offline conversion & Lead Log

Buoc 4b — Dong y thu thap du lieu (bat buoc neu co traffic ngoai VN)

Buoc 5 — Checklist verify XANH truoc khi len camp

Buoc 6 — Daily / weekly check sau launch

Xu ly su co

Cau truc ket qua

Lien ket skill

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