# The Claude Anatomy Library

> 21 anatomies. One system. Endless improvement.

This file contains links to documentation sections following the llmstxt.org standard.

## Table of Contents

- [Anatomy of CLAUDE.md](https://vamsi713061.github.io/foundation/claude-md.md): Team memory, conventions, patterns, and living architecture.
- [Anatomy of Hook Lifecycles](https://vamsi713061.github.io/foundation/hook-lifecycles.md): Pre/Post/Stop hooks, matchers, lifecycles, and automation.
- [Anatomy of MCP Servers](https://vamsi713061.github.io/foundation/mcp-servers.md): Model Context Protocol servers, capabilities, security, and setup.
- [Anatomy of Claude Code Project Structure](https://vamsi713061.github.io/foundation/project-structure.md): The complete .claude project anatomy and recommended layout.
- [Anatomy of Subagents](https://vamsi713061.github.io/foundation/subagents.md): Specialized subagents, patterns, orchestration, and best practices.
- [The Claude Anatomy Library](https://vamsi713061.github.io/welcome.md): 21 anatomies. One system. Endless improvement — your complete blueprint for AI-powered software teams with Claude Code.
- [Anatomy of AI Cost & Token Economics](https://vamsi713061.github.io/management/cost-economics.md): Models, context, batching, caching, and cost guardrails.
- [Anatomy of AI-Powered Dev Loop](https://vamsi713061.github.io/management/dev-loop.md): Daily/weekly rhythms (plan → pair → review → retro) for AI-augmented teams.
- [Anatomy of Prompt Engineering for Repos](https://vamsi713061.github.io/management/prompt-engineering.md): System prompts, few-shots, CLAUDE.md interplay, and design patterns.
- [Anatomy of AI Knowledge Loop](https://vamsi713061.github.io/meta/knowledge-loop.md): The self-improving loop that ties it all back together.
- [Anatomy of AI Incident Response Playbook](https://vamsi713061.github.io/operations/incident-response.md): Runbooks, paging, mitigation, comms, war-room with AI copilots.
- [Anatomy of AI Observability](https://vamsi713061.github.io/operations/observability.md): Traces, metrics, evals, drift detection, and regression alarms.
- [Anatomy of AI-Powered Postmortem](https://vamsi713061.github.io/operations/postmortem.md): Blameless retros with AI: timelines, RCA, contributing factors.
- [Anatomy of Agentic Workflows](https://vamsi713061.github.io/orchestration/agentic-workflows.md): Workflow patterns, critic loops, routing, and execution.
- [Anatomy of .claude/settings.json](https://vamsi713061.github.io/orchestration/settings-json.md): Every key, matcher, permission, and gotcha explained.
- [Anatomy of AI Onboarding Kit](https://vamsi713061.github.io/people/onboarding-kit.md): Get new hires productive in their first week with Claude Code.
- [Anatomy of AI Code Review Workflows](https://vamsi713061.github.io/quality/code-review.md): Beyond /review: gates, subagents, hooks, and PR-quality system.
- [Anatomy of Plugins](https://vamsi713061.github.io/reusability/plugins.md): Plugin anatomy, types, security, and distribution patterns.
- [Anatomy of Skills](https://vamsi713061.github.io/reusability/skills.md): Reusable skills, playbooks, references, and how to structure them.
- [Anatomy of AI Governance & Risk](https://vamsi713061.github.io/trust/governance.md): Policies, model cards, approvals, audit trails for regulated teams.
- [Anatomy of Context Management](https://vamsi713061.github.io/workflows/context-management.md): 0–80%+ usage playbook, auto-compact, memory strategies, reset rituals.
- [Anatomy of Slash Commands](https://vamsi713061.github.io/workflows/slash-commands.md): Anatomy of /commands and design patterns.