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B2B Lead Gen · minhnv0807 | DecimalAI

Sales & Supportby minhnv0807

B2B Lead Gen

Khi nguoi dung muon tim va chuyen doi lead B2B: prospecting, outbound list, ICP account list, cold email, lead scoring, MQL/SQL handoff, sales enablement, pitch deck, objection handling, demo script, CRM pipeline, RevOps. Dung khi nhac 'tim lead', 'prospect list', 'cold email', 'outbound', 'sales deck', 'lead scoring', 'CRM', 'MQL', 'SQL', 'pipeline'.

Never made a case worseMaintained

SkillScore

SkillScore73/100

Test results 73

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

23%73%of test cases passed +50 pts

Without skill5 of 22

With skill16 of 22

11 fixed5 passed either way6 still failing0 broke

Measured on gemini-3.6-flash9/2/2026v2

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskTrước khi bàn giao danh sách lead cho đội ngũ sales, bảng tự kiểm tra pre-delivery check cần xác nhận điều kiện bắt buộc nào về ngày kiểm tra?

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 minhnv0807-33-b2b-lead-gen
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("minhnv0807-33-b2b-lead-gen")
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 minhnv0807-33-b2b-lead-gen

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/minhnv0807-33-b2b-lead-gen/SKILL.md https://app.decimal.ai/s/minhnv0807-33-b2b-lead-gen/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/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/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

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

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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("minhnv0807-33-b2b-lead-gen")
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/minhnv0807-33-b2b-lead-gen/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/minhnv0807-33-b2b-lead-gen/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 minhnv0807-33-b2b-lead-gen

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/minhnv0807-33-b2b-lead-gen/SKILL.md https://app.decimal.ai/s/minhnv0807-33-b2b-lead-gen/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/minhnv0807-33-b2b-lead-gen/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/minhnv0807-33-b2b-lead-gen/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/minhnv0807-33-b2b-lead-gen.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: v2, tested 9/2/2026
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

B2B Lead Gen

Skill nay noi marketing voi sales: xac dinh ICP, tim account/contact, uu tien lead, viet outreach, tao sales asset, va set handoff MQL/SQL. Muc tieu la lead co kha nang mua, khong phai list email lon.

Thu thap thong tin

Doc .agents/product-marketing-context.md neu co. Hoi toi da 4 cau: ICP, deal size/ACV, thi truong/dia ly, va kenh outbound hien co. Neu user co CRM/export/list, dung no lam baseline. Neu can chi tiet, doc references/b2b-lead-gen-playbook.md.

Chon mode

User can	Mode
"Tim khach hang tiem nang"	Prospecting
"Viet email tiep can"	Cold outreach
"Cham diem lead"	Lead scoring
"Chuyen lead cho sales"	RevOps handoff
"Lam sales deck / objection"	Sales enablement

Chon nhanh theo doi tuong ban

Bon nhanh khac nhau ve nguon data, tin hieu mua, va kenh tiep can. Chon mot nhanh truoc khi lam gi khac.

Nhanh	Ban cho ai	"Du chuan" nghia la gi	Nguon chinh
SaaS / cong nghe	Cong ty phan mem, san TMDT, app	Hop ICP + dung stack lien quan + co tin hieu tang truong	Website/blog cong ty, tin goi von, tin tuyen dung, cong dong dev
Dich vu B2B	Nha may, nha phan phoi, cong ty dich vu, doanh nghiep vua	Nganh + quy mo + dia ly + tin hieu doi nha cung cap	Cong thong tin doanh nghiep, hoi cho/trien lam, hiep hoi nganh, tin tuyen dung
SMB dia phuong	Quan an, spa, phong kham, cua hang, trung tam	Dang hoat dong that + tinh trang online + tiep can duoc chu	Google Maps, fanpage, website, san TMDT, hoi nhom dia phuong
Xuat khau	Buyer nuoc ngoai	—	Chuyen han sang `29-xuat-khau-b2b`

Nhanh xuat khau khong xu ly o day. Skill 29-xuat-khau-b2b co phan loai buyer quoc te, checklist hoi cho, mau email xuat khau, va phan tich gia canh tranh ma skill nay khong co.

Neu de bai lai (vi du "SMB dia phuong nhung ban phan mem"), chon nhanh chinh roi muon them tin hieu tu nhanh kia.

Workflow

1. Dinh nghia ICP

Xac dinh:

Firmographic: nganh, size, doanh thu, dia ly.
Trigger: vua goi von, tuyen role moi, mo chi nhanh, dung tool lien quan.
Pain: van de co budget de giai quyet.
Exclusion: ai khong nen ban.

2. Tao lead source map

Nguon	Phu hop
LinkedIn/Sales Nav	B2B role/title
Apollo/Clay/ZoomInfo	Account + contact data
Google Maps/local directories	Local SMB
GitHub/job posts	Devtool/SaaS intent
G2/Capterra/review sites	Competitor/category demand
Website visitors/forms	Warm intent

Tim rong gap 2-3 lan so lead can, vi buoc kiem chung se loai bot rat manh.

3. Ky luat bang chung — moi dong lead phai truy nguoc duoc

Day la phan quan trong nhat cua skill nay. Khi duoc yeu cau "tim 50 khach hang tiem nang", AI rat de tao ra mot danh sach nghe hop ly nhung khong co that: ten cong ty dung nhung nguoi lien he bia, so dien thoai bia, tin hieu mua bia. List do lam sales mat thoi gian va lam hong uy tin cua ca he thong.

Quy tac cung: moi dong lead phai co du 3 cot ben duoi. Thieu cot nao thi dong do khong duoc giao.

Cot bat buoc	Yeu cau
Nguon	URL cu the den trang chua thong tin do — khong ghi "Google", "LinkedIn", "internet"
Ngay verify	Ngay thuc su mo trang do va thay thong tin (YYYY-MM-DD)
Do tin cay	Cao / Trung binh / Thap theo bang duoi

Do tin cay	Dieu kien
Cao	Xac nhan boi 2 nguon doc lap, hoac 1 nguon chinh thuc cua chinh doanh nghiep (website, cong bo dang ky kinh doanh)
Trung binh	1 nguon dang tin, khop voi cac ket qua tim kiem khac
Thap	Suy doan, thong tin cu, hoac chua doi chieu duoc — phai ghi ro cho nao con nghi ngo

Ba dieu khong duoc lam:

Khong bia so dien thoai, email, ten nguoi. Chua tim duoc thi de trong va ghi "chua verify" — de trong tot hon dien bua.
Khong ghi "Cao" khi chi tu tim 2 lan tren cung 1 nguon. Hai ket qua tu cung mot trang khong phai 2 nguon doc lap.
Khong lay data tu nguon ro ri, cho mua ban data khong ro goc, hoac scrape hang loat. Lay tu trang cong khai cua chinh doanh nghiep va nguon chinh thong; giu URL + ngay de sau nay chung minh duoc nguon goc.

4. Cham diem va phan loai

Dung 100 diem:

Nhom	Diem
ICP fit	35
Intent trigger	25
Pain/proof	15
Contact quality	15
Timing	10

Chi dua vao outreach neu dat nguong toi thieu 60/100. Sau khi cham diem, gan nhan:

Nhan	Dieu kien
Hot	Hop ICP + co tin hieu mua cu the neu ten duoc + tiep can duoc nguoi quyet dinh + contact da verify
Warm	Hop ICP, tin hieu mua yeu hoac da cu, contact verify duoc
Cold	Hop ICP long leo, hoac khong co tin hieu, hoac contact chua verify
Bo qua	Dinh exclusion, da dong cua, trung lap, hoac do tin cay Thap

Quy tac cung ve nhan Hot: khong duoc gan Hot neu khong neu duoc mot tin hieu mua cu the. Tin hieu mua la mot su kien co that, chi ra duoc nguon:

Vua goi von hoac cong bo mo rong.
Vua tuyen nguoi o vi tri lien quan den van de minh giai.
Vua doi cong cu / nha cung cap, hoac dang phan nan ve cai dang dung.
Vua mo chi nhanh, nha may, showroom, hoac vao thi truong moi.
Vua ra san pham/dich vu moi can den cai minh ban.

Chi hop ICP thoi thi cao nhat la Warm. "Cong ty nay dung nganh, dung quy mo" khong phai tin hieu mua — do la ly do de dua vao list, khong phai ly do de goi hom nay.

5. Chon kenh tiep can — viet cho thuc te B2B Viet Nam

B2B Viet Nam khong chay bang cold email. Chon kenh truoc, roi moi viet noi dung.

Kenh	Dung khi nao	Khong dung khi nao
Zalo	Kenh chinh. Sau khi da co so cong khai cua doanh nghiep, hoac sau cuoc goi dau	Chua biet gi ve ho — tin nhan chao hang lanh tanh vao Zalo bi chan rat nhanh
Dien thoai	Kenh chinh voi SMB va doanh nghiep vua. Nhanh nhat de biet co dung nguoi khong	Ngoai gio hanh chinh, hoac khi chua chuan bi duoc cau mo dau ro rang
Email	Bao gia chinh thuc, ho so nang luc, tai lieu can luu — va sau khi da noi chuyen	Lam kenh cham dau voi SMB: ti le mo rat thap
LinkedIn	Khach nuoc ngoai, tap doan, cong ty co van phong khu vuc, vi tri cap cao	SMB Viet Nam — phan lon khong dung
Gap truc tiep / hoi cho	Deal lon, nganh san xuat va phan phoi	Deal nho — chi phi tiep can qua cao

Quy tac viet cho tung kenh:

Zalo — ngan, xung ho dung vai ve, noi ngay ly do biet den ho, 1 cau hoi de tra loi. Toi da 4-5 dong. Khong gui file nang o tin nhan dau. Khong nhan ngoai gio.
Dien thoai — chuan bi 3 cau: minh la ai, vi sao goi CHO HO (neu ten tin hieu mua), va 1 cau hoi mo. Muc tieu cuoc goi dau khong phai chot — la xac nhan dung nguoi va xin phep gui thong tin qua Zalo.
Email — tieu de noi dung viec, khong giat tit. Than mail duoi 120 tu. Dinh kem chi khi ho da dong y nhan. Luon co cach tu choi nhan tiep.
LinkedIn — connect kem 1 dong ly do that. Khong pitch o tin nhan dau tien.

Chuoi 4 cham mac dinh (SMB va doanh nghiep vua):

Cham 1 — dien thoai: xac nhan dung nguoi + xin phep gui thong tin.
Cham 2 — Zalo trong 24h: nhac lai cuoc goi + 1 dan chung ngan (ket qua o don vi cung nganh).
Cham 3 — Zalo hoac email sau 3-5 ngay: mot thu co ich khong kem dieu kien (bang gia tham khao, checklist, ket qua ra soat nho).
Cham 4 — dong loop: "Neu chua dung luc thi em dung o day, khi nao can anh/chi nhan em mot cau."

Voi SaaS va khach nuoc ngoai, doi cham 1 thanh email hoac LinkedIn.

Ba loi lam hong outreach o VN: personalization gia (dien ten cong ty vao mau san roi goi la ca nhan hoa), gui hang loat cung mot noi dung vao nhieu Zalo, va nhan tin ngoai gio.

6. Tao sales enablement

Neu lead co tiem nang cao, tao:

One-pager theo persona.
Objection handling sheet.
Demo talk track.
ROI calculator don gian.
Proposal outline.

7. Handoff sang sales/CRM

Moi lead nen co:

Source (URL), ngay verify, do tin cay, score, trigger, pain, suggested opener.
Owner, next step, SLA follow-up.
Status: New, Working, Meeting Booked, SQL, Opportunity, Closed.

8. Kiem tra truoc khi giao list

Chay het bang nay truoc khi dua list cho sales. O nao "Khong" thi sua truoc — khong giao.

Kiem tra	Dat khi
Nguon that	Moi dong co URL cu the, mo len van ra dung thong tin
Ngay verify	Moi dong co ngay, khong dong nao de trong
Khong bia	Khong dong nao dua tren suy doan ma khong ghi ro la suy doan
Nhan Hot co can cu	Moi dong Hot neu duoc tin hieu mua cu the + contact da verify
Ti le hop ly	Khoang 20% Hot / 30% Warm / con lai Cold va Bo qua
Khong trung	Da loc trung theo domain (B2B/SaaS) hoac ten + dia chi (SMB dia phuong)
Du so luong	Dung so user yeu cau, hoac giai thich vi sao it hon

Ti le la mot canh bao gia re nhat. Neu list ra 80% Hot, gan nhu chac chan dang gan nhan theo cam tinh hoac dang bia tin hieu mua — quay lai bang tin hieu mua va ha nhan xuong. 25 lead da verify tot hon 250 lead phan lon la rac.

Output template

# B2B Lead Gen Plan — [Brand]
Nhanh: [SaaS / Dich vu B2B / SMB dia phuong]
Ngay tao list: [YYYY-MM-DD]

## 1. ICP
| Segment | Fit criteria | Pain | Exclusion |

## 2. Lead sources
| Source | Query/filter | Data needed | Owner |

## 3. Scoring model
| Signal | Points | Why it matters |

## 4. Prospect table
| Nhan | Account | Contact | Tin hieu mua | Score | Nguon (URL cu the) | Ngay verify | Do tin cay | Kenh cham dau | Next step |

## 5. Top 3-5 nen cham truoc
| Account | Vi sao cham truoc (1 cau) |

## 6. Kiem tra truoc khi giao
| Kiem tra | Dat/Khong | Ghi chu |

Ti le thuc te: Hot __% · Warm __% · Cold __% · Bo qua __%

## 7. Outreach theo kenh
### Cham 1 — [Dien thoai / Email / LinkedIn]
### Cham 2 — Zalo
### Cham 3 — Zalo hoac email
### Cham 4 — dong loop

## 8. Sales enablement assets
| Asset | Persona | Purpose | Draft notes |

## 9. CRM handoff
| Stage | Entry criteria | Owner | SLA |

## 10. Chua verify duoc
[Nhung gi khong xac minh duoc va can nguoi kiem tra lai]

Lien ket skill

09-insight-khach-hang: persona, pain, JTBD — doc truoc khi dung ICP.
31-offer-design: goi B2B / high-ticket — offer phai co truoc outreach.
14-email-marketing: nurture sau khi lead vao list.
08-nghien-cuu-doi-thu: competitor triggers va alternative positioning.
29-xuat-khau-b2b: khi khach hang muc tieu o nuoc ngoai — chuyen han sang skill do. No co phan loai buyer quoc te, checklist hoi cho, 3 mau email xuat khau, va phan tich gia canh tranh ma skill nay khong co.

Checklist chat luong

Da chon dung nhanh; khach o nuoc ngoai thi chuyen sang 29-xuat-khau-b2b.
Lead list co ly do mua, khong chi email.
Moi dong lead co du 3 cot: Nguon (URL cu the), Ngay verify, Do tin cay.
Khong dong nao bia contact — chua tim duoc thi de trong va ghi "chua verify".
Khong lead Hot nao thieu tin hieu mua cu the neu ten duoc.
Ti le nhan hop ly (khoang 20% Hot / 30% Warm), khong phai 80% Hot.
Kenh cham dau chon theo thuc te VN — Zalo/dien thoai truoc, email cho bao gia.
Co exclusion criteria de tranh ban sai nguoi.
Outreach co relevance that, khong merge-field gia, khong nhan ngoai gio.
Compliance: co opt-out, khong scrape/spam trai luat, giu duoc nguon goc data.
Sales handoff co owner va SLA.
Output co next action ro trong 48h.

About this skill

Automatic

Sales & GTM pack

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0 critical · 0 warning · 0 info — scanner v5 — 8/17/2026

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LLM judge · does the skill do what it claims

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LLM judge · policy & harmful-content review

Source

Imported

minhnv0807 / ai-business-skills

skills/vi/33-b2b-lead-gen/SKILL.md

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License MITImported 8/17/2026Version v2Bundled 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.

minhnv0807/33-b2b-lead-gen-globalUse when the user wants B2B lead generation and sales pipeline support: prospecting, outbound lists, ICP account lists, cold email, lead scoring, MQL/SQL handoff, sales enablement, pitch decks, objection handling, demo scripts, CRM pipeline, or RevOps. Trigger on 'find leads', 'prospect list', 'cold email', 'outbound', 'sales deck', 'lead scoring', 'CRM', 'MQL', 'SQL', or 'pipeline'.Close match+36 pts pass-rate lift

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What it changes

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Use this skill

B2B Lead Gen

Thu thap thong tin

Chon mode

Chon nhanh theo doi tuong ban

Workflow

1. Dinh nghia ICP

2. Tao lead source map

3. Ky luat bang chung — moi dong lead phai truy nguoc duoc

4. Cham diem va phan loai

5. Chon kenh tiep can — viet cho thuc te B2B Viet Nam

6. Tao sales enablement

7. Handoff sang sales/CRM

8. Kiem tra truoc khi giao list

Output template

Lien ket skill

Checklist chat luong

SkillSafety

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