{"repo":"davidliuk/graph-of-skills","free":true,"listed":false,"github":"https://github.com/davidliuk/graph-of-skills","clone":"git clone https://github.com/davidliuk/graph-of-skills.git","description":"Dependency-Aware Structural Retrieval for Massive Agent Skills","language":"Python","stars":201,"topics":["claude-code","knowledge-graph","skills"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Graph of Skills (GoS) Dependency-Aware Structural Retrieval for Massive Agent Skills Dawei Liu · Zongxia Li · Hongyang Du · Xiyang Wu · Shihang Gui · Yongbei Kuang · Lichao Sun --- 🔥 Updates - [2026-04-15] Released a Claude Code MCP plugin for graph of skills retrieval — drop-in integration for Claude Code agents. - [2026-04-07] Paper released on arXiv:2604.05333 and HuggingFace Papers. - [2026-04-06] Code open-sourced on GitHub. - [2026-04-04] Skill libraries, prebuilt workspaces, and benchmark data released on HuggingFace. --- Overview Graph of Skills builds a skill graph offline from a library of SKILL.md documents, then retrieves a small, ranked set of relevant skills at task time. Instead of flooding the agent context with an entire skill library, GoS surfaces only the skills most likely to help -- along with their prerequisites and related capabilities. How It Works Retrieval pipeline: 1. Seed -- retrieve semantic candidates (embedding similarity) and lexical candidates (exact-match tokens) 2. Merge -- combine both candidate pools 3. Rerank -- rerank using the skill-graph structure (dependencies, co-occurrence) 4. Return -- emit a capped, agent-readable skill bundle Results GoS is evaluated on SkillsBench (87 dockerized coding tasks) and ALFWorld (134 household games) across three model families. R = average reward (%), T = input tokens, S = runtime (s). ↑ higher is better, ↓ lower is better. Model Method SB R↑ SB T↓ SB S↓ AW R","default_branch":null,"files":null,"tree":[],"storefront":"/r/davidliuk","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/davidliuk/graph-of-skills/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}