๐๏ธ 1. Core Architecture: What are “Skills”?
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In the Claude Code ecosystem, a Skill is far more than a simple prompt. It is a modular capability package designed for high-performance autonomous engineering.
Components: Each skill is a self-contained directory containing a SKILL.md instruction set, helper scripts (Python/Bash), templates, and reference assets.
Progressive Disclosure Strategy:
Minimal Footprint: Initially, a skill consumes only 30-50 tokens for metadata.
Just-in-Time Loading: Detailed logic and instructions are only loaded into the context window when the user’s intent matches the skill, drastically saving token costs.
Portability: Fully compatible across Terminal CLI, cla.ai web interface, and direct API integrations.
shannon(Penetration Testing): An autonomous AI pentesting framework that hunts for vulnerabilities (SQLi, XSS) and provides evidence-backed reports with zero false positives.
tdd(Test-Driven Development): Enforces a strict “Red-Green-Refactor” workflow, ensuring no production code is written without a prior failing test.
security-audit: A native tool for deep static analysis and security auditing before code commits.
Self-Evolving Skills: Through the Continuous Learning v2 framework, the system captures coding patterns as atomic “Instincts” with dynamic confidence scores (0.3 - 0.9).
Personalized Evolution: These instincts evolve into permanent skills or commands based on your unique development style, allowing the AI to “learn” your preferences over time without manual prompting.