cdp-skills

sigridjineth's avatarfrom sigridjineth

Claude Developer Platform Skills feature. Custom knowledge packages for agents, curated playbooks, and versioned expertise domains.

⭐1stars🔀0forks📁View on GitHub🕐Updated Dec 15, 2025

When & Why to Use This Skill

The Claude Developer Platform Skills feature provides a robust framework for packaging organizational knowledge into curated, versioned playbooks. It empowers developers to build AI agents with specialized domain expertise, ensuring responses are human-verified, policy-compliant, and contextually relevant. By bridging the gap between raw data retrieval (RAG) and expert-level behavior, it offers a structured approach to knowledge management for production-grade AI applications.

Use Cases

  • Specialized Agent Development: Package domain-specific expertise into version-controlled playbooks to ensure agents provide consistent, expert-level guidance.
  • Enterprise Knowledge Management: Transition from raw document retrieval to human-verified expertise domains with built-in policy guardrails and safety checks.
  • Dynamic Context Optimization: Enable agents to load specific skill sets dynamically based on conversation context, improving efficiency and reducing token overhead.
  • Standardizing AI Workflows: Implement the SKILL.md structure to define clear response guidelines and reference materials for complex organizational tasks.
namecdp-skills
descriptionClaude Developer Platform Skills feature. Custom knowledge packages for agents, curated playbooks, and versioned expertise domains.

Skills Feature Skill

When to Use

  • Questions about packaging custom knowledge
  • "How do I give Claude domain expertise?"
  • Building agents with specialized knowledge
  • RAG vs Skills comparison
  • Knowledge management for AI agents

Key Feature: Skills

Skills let you package organizational knowledge as curated, versioned playbooks that Claude can use.

Core Capabilities

  1. Curated knowledge: Human-verified, policy-safe content
  2. Version control: Track changes, roll back if needed
  3. Dynamic attachment: Attach skills based on conversation context
  4. Progressive disclosure: Claude loads skill content as needed

Skills vs RAG

Aspect RAG Skills
Content Retrieved chunks Curated playbooks
Verification Raw documents Human-reviewed
Policy Not built-in Built-in guardrails
Versioning Document-level Skill-level
Use case Document search Expert behavior

Skill Structure

skills/
├── customer_success/
│   ├── SKILL.md          # When to use, guidelines
│   └── references/
│       ├── objections.md # Common objections
│       └── case_studies.md
└── technical/
    ├── SKILL.md
    └── references/
        └── architecture.md

Response Guidelines

  1. Explain the value: Verified knowledge, not just retrieval
  2. Use RAG analogy: "Like RAG, but with policy and versioning"
  3. Show structure: SKILL.md + references pattern
  4. Emphasize curation: Human-in-the-loop for quality