MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Exposes graph-based retrieval as a tool capability via querygraph.
MITAuto-check passed
Install Graph Retrieval
$ npx skills add study8677/repobrain --skill graph-retrieval -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install study8677/repobrain graph-retrieval --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .claude/skills/graph-retrieval && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .claude/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrievalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add study8677/repobrain --skill graph-retrieval -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install study8677/repobrain graph-retrieval --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .agents/skills/graph-retrieval && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .agents/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add study8677/repobrain --skill graph-retrieval -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install study8677/repobrain graph-retrieval --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .cursor/skills/graph-retrieval && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .cursor/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/study8677/repobrain.git --path engine/repobrain_engine/skills/graph-retrieval--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add study8677/repobrain --skill graph-retrieval -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install study8677/repobrain graph-retrieval --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .gemini/skills/graph-retrieval && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .gemini/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install study8677/repobrain graph-retrievalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add study8677/repobrain --skill graph-retrieval -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .github/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .github/skills/graph-retrieval && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .github/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add study8677/repobrain --skill graph-retrieval -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install study8677/repobrain graph-retrieval --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/study8677/repobrain.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engine/repobrain_engine/skills/graph-retrieval .opencode/skills/graph-retrieval && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "graph-retrieval" agent skill from https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/graph-retrieval into .opencode/skills/graph-retrieval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph-retrieval", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
graph-retrieval- GitHub stars
- 1.3k
- Token cost
- ~255 tokens
- SKILL.md length
- 62 words
- Files
- 3
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Exposes graph-based retrieval as a tool capability via querygraph.
- SKILL.md covers Purpose, Tool, Behavior and Output Contract, plus 1 more section
- Runs Python scripts from its folder
What it does
Graph Retrieval is an agent skill from study8677/repobrain. Exposes graph-based retrieval as a tool capability via querygraph. Reads normalized graph store files, builds a query-relevant subgraph, and returns LLM-friendly semantic triples with replayable evidence metadata.
Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `__init__.py` and `tools.py`).
It works with Model Context Protocol. The repository describes itself as: 🧠 RepoBrain (formerly Antigravity) — Give your repo a brain. ChatGPT for your codebase: works in Claude Code, Cursor, Codex, Windsurf & more. The licence is MIT.
Example prompts
- “Use the graph-retrieval skill to expose graph-based retrieval as a tool capability via querygraph”
- “/graph-retrieval”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ed8a5d0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Graph Retrieval loads about 255 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 62 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from study8677/repobrain at commit ed8a5d0, republished under its MIT licence (© study8677). 62 words, ~255 tokens.
Download SKILL.mdSave it as
.claude/skills/graph-retrieval/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- graph-retrieval
- description
- Exposes graph-based retrieval as a tool capability via `query_graph`. Reads normalized graph store files, builds a query-relevant subgraph, and returns LLM-friendly semantic triples with replayable evidence metadata.
Graph Retrieval Skill
Purpose
Expose graph-based retrieval as a tool capability without breaking the existing RepoBrain execution chain.
Tool
query_graph(query, max_hops=2, workspace='.')
Behavior
- Reads normalized graph store files under
.repobrain/graph/. - Builds a query-relevant subgraph.
- Returns LLM-friendly semantic triples plus replayable evidence metadata.
Output Contract
{
"summary": "...",
"triples": [["subject", "predicate", "object"]],
"evidence": [{"retrieval_id": "...", "tool_name": "..."}],
"nodes": [...],
"edges": [...]
}Design Notes
- Keeps tool-driven and replayable architecture.
- Does not bypass pipeline.
- Intended for structure/dependency questions and context enrichment.
© study8677, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in engine/repobrain_engine/skills/graph-retrieval of study8677/repobrain.
- SKILL.md
- __init__.py
- tools.py
Open the folder on GitHubat commit ed8a5d0
Compare with similar skills
Graph Retrieval next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Graph Retrieval this skillstudy8677/repobrain | 1.3k | — | ~255 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.4k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
Figma use_figma Plugin API Rules
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
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Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
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Questions about Graph Retrieval
What does Graph Retrieval do?
Exposes graph-based retrieval as a tool capability via querygraph. Graph Retrieval is an agent skill from study8677/repobrain. Exposes graph-based retrieval as a tool capability via querygraph.
How do I install Graph Retrieval in Claude Code?
Run `npx skills add study8677/repobrain --skill graph-retrieval -a claude-code`. Or copy the skill folder (engine/repobrain_engine/skills/graph-retrieval in study8677/repobrain) into .claude/skills/graph-retrieval in your project. Claude Code loads it when a task matches its description.
How do I install Graph Retrieval in Codex?
Run `npx skills add study8677/repobrain --skill graph-retrieval -a codex`. Or copy the skill folder (engine/repobrain_engine/skills/graph-retrieval in study8677/repobrain) into .agents/skills/graph-retrieval in your project. Codex loads it when a task matches its description.
Can I use Graph Retrieval in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add study8677/repobrain --skill graph-retrieval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph-retrieval, .gemini/skills/graph-retrieval, .github/skills/graph-retrieval and .opencode/skills/graph-retrieval in your project.
What does Graph Retrieval need to run?
Going by SKILL.md and its folder, Graph Retrieval needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Graph Retrieval access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Graph Retrieval safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Graph Retrieval use?
Graph Retrieval is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Graph Retrieval use?
About 255 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Graph Retrieval?
Skills that share tags, products or a category with Graph Retrieval: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Graph Retrieval?
study8677 (a GitHub user) maintains it in study8677/repobrain, which has 1,325 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 9, 2026.
Source: study8677/repobrain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.