majiayu000 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).
5. Tool Use / Function Calling
The Problem: Models can't "do" things. The Solution: Structured output mapped to executable functions.
- Best Practice: Define strict JSON schemas for tools constraints.
Instructions
- Identify Need: "The user wants a research report."
- Select Pattern: "This requires Planning (to outline the report) and ReAct (to search the web)."
- Implement:
- Define the loop (e.g.,
while not done:). - Define the prompt structure (e.g., "You are a researcher...").
- Implement the tool execution layer.
- Define the loop (e.g.,