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npx claudepluginhub cajias/claude-skills --plugin md-to-pdfTrue Zettelkasten for Claude Code - atomic notes, semantic search, and automatic hubs
Enforces proper AWS authentication via isengardcli. Prevents direct aws/cdk/deploy commands without credentials. Uses environment variables (DEV, GAMMA, PROD) for account selection with color-coded warnings for non-dev environments.
Development workflow tools - README generation, code review, and more
Continuous learning system that extracts reusable skills from Claude Code sessions. Uses multi-hook architecture with breakthrough scoring, TF-IDF duplicate detection, user/project skill taxonomy, and unified knowledge detection (corrections + teaching patterns).
Automated PR monitoring with Stop hook that auto-resumes Claude Code when new commits are detected
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Create comprehensive documentation for code, APIs, and projects.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.