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Agentic Patterns Skill · majiayu000 | DecimalAI

agent toolingby majiayu000

Agentic Patterns Skill

majiayu000/agentic-patterns

Source majiayu000/claude-skill-registry ↗License MIT

Use simple, composable patterns to decide when to keep a deterministic workflow versus letting an LLM drive its own control flow with tools, retrieval, and memory. Prefer minimal patterns and add agentic loops only when they unlock necessary flexibility.

SkillScore96Maintained

Automatic

AI Engineer pack

Last verified 8/18/2026

What it changes

Passed 22 of 23 test cases with the skill, and 19 of 23 without it.

Without skill83%

With skill96%

Checks it passed that the model alone missed

Identifies Tool Use or Function Calling as the architectural pattern.
Specifies the reflection sequence in order as Generate, Critique, and Refine.
Selects the ReAct pattern with interleaved Thought, Action, and Observation stages.

3 fixed19 passed either way1 still failing0 broke

Pass-rate lift: +13 pp
Tokens: +4%
Agent turns: 0%
Response time: -27%

Model gemini-3.6-flashMeasured 8/18/2026v222 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/majiayu000-agentic-patterns/SKILL.md https://app.decimal.ai/s/majiayu000-agentic-patterns/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-agentic-patterns, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/majiayu000-agentic-patterns/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-agentic-patterns

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/majiayu000-agentic-patterns/SKILL.md https://app.decimal.ai/s/majiayu000-agentic-patterns/SKILL.md

Raw file: /s/majiayu000-agentic-patterns/SKILL.md ↗ · machine-readable summary at /s/majiayu000-agentic-patterns.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

We want to build an automated research assistant that needs to look up real-time stock prices and corporate earnings reports from live web endpoints. How should we structure the core cognitive loop for this agent?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies the core need as retrieving live external information.	Passed	Passed
Selects the ReAct pattern with interleaved Thought, Action, and Observation stages.	Missed	Passed

case-02 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md53 linessingle file

Agentic Patterns Skill

Triggers

agentic
reflection
react pattern
planning
memory
tool use

Purpose

To build sophisticated AI agents that can think, plan, and correct themselves using 2025-era cognitive architectures.

Supported Patterns

1. Reflection / Self-Correction

The Problem: Models make mistakes. The Solution: Ask the model to review its own output before finalizing it.

Flow: Generate -> Critique -> Refine.
Usage: Critical code generation, complex math, reasoning tasks.

2. ReAct (Reason + Act)

The Problem: Models need external information. The Solution: Interleave reasoning traces with tool execution.

Flow: Thought -> Action -> Observation -> Thought...
Usage: Web browsing, database querying, API interaction.

3. Planning (Chain of Thought)

The Problem: Complex tasks need decomposition. The Solution: Break goal into a sequence of steps.

Flow: Goal -> Plan -> Execute Step 1 -> Update Plan.
Usage: Multi-step workflows, project implementation.

4. Memory Augmented

The Problem: Context window limits. The Solution: External storage (Vector DB, Knowledge Graph).

Types:
- Episodic: Past interactions ("What did we do yesterday?").
- Semantic: Facts and knowledge ("How does this repo work?").
- Procedural: How to do things (stored skills/tools).

Track record

Benchmark

22 / 23

test cases passed, vs 19 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

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

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

majiayu000 / claude-skill-registry

skills/agent/agentic-patterns/SKILL.md

View on GitHub ↗

License MITImported 8/17/2026Version v2

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Agentic Patterns Skill

Triggers

Purpose

Supported Patterns

1. Reflection / Self-Correction

2. ReAct (Reason + Act)

3. Planning (Chain of Thought)

4. Memory Augmented

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills