Agent Skills

Docmancer

docmancer

Local-first CLI to fetch, index, and query public documentation (GitBook, Mintlify, GitHub) so coding agents can ground answers in accurate, versioned docs.

RAG Implementation Patterns

claude-code-toolkit

Practical guide to building production Retrieval-Augmented Generation (RAG) systems: vector DB selection, chunking strategies, embedding model choices, retrieva

Recall

joelclaw

Fan-out retrieval pattern that searches all memory sources when a vague reference to past context appears, preventing guesswork and ensuring accurate context be

Exa — Semantic Search

refly-skills

Perform semantic (meaning-based) search over documents or collections to find similar content and neural search results.

memory-lancedb-pro (Long-term Memory Plugin)

memory-lancedb-pro-skill

Installation, configuration, and operational guidance for memory-lancedb-pro — a production-grade long-term memory plugin with hybrid retrieval, smart extractio

Nemotron 3 Nano Reference

nemotron

Authoritative knowledge-base for Nemotron 3 Nano: architecture, training data, SFT/RL recipes, evaluation and deployment guidance.

FAR — File-Augmented Retrieval

far

Generates persistent .meta sidecar files for binary documents (PDFs, images, spreadsheets, media) so coding agents can read and reason about non-text files with

LlamaIndex — Data Framework for LLMs

awesome-omni-skill

Framework for building RAG and document-centric LLM applications: ingestion connectors, vector indices, query engines and agent integrations for document Q&A an

Wiki Query (Obsidian)

claude-obsidian

Answer questions from an Obsidian wiki: hot cache → index → pages; synthesize answers with citations and optionally file results.