Agent skill

Knowledge Graph

Knowledge graph integration for token-efficient codebase understanding.

MITAuto-check passedKnowledge Management

Install Knowledge Graph

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/knowledge-graph .claude/skills/knowledge-graph && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .claude/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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

$skill-installer install https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph

Type 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.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/knowledge-graph .agents/skills/knowledge-graph && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .agents/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/knowledge-graph .cursor/skills/knowledge-graph && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .cursor/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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

$ gemini skills install https://github.com/vibeeval/vibecosystem.git --path skills/knowledge-graph

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/knowledge-graph .gemini/skills/knowledge-graph && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .gemini/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph

Installs 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).

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/knowledge-graph .github/skills/knowledge-graph && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .github/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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.

skills CLI

$ npx skills add vibeeval/vibecosystem --skill knowledge-graph -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install vibeeval/vibecosystem knowledge-graph --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/knowledge-graph .opencode/skills/knowledge-graph && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "knowledge-graph" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/knowledge-graph into .opencode/skills/knowledge-graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "knowledge-graph", 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: knowledge-graph
GitHub stars: 531
Token cost: ~744 tokens
SKILL.md length: 223 words
Files: 1
Skills in repo: 144
Repo updated: Aug 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Knowledge graph integration for token-efficient codebase understanding.

Works in 6 steps: Index a Repository → Check Index Status → Search Code → …
Tasks that involve Knowledge graphs
SKILL.md covers Overview, Setup, Core Operations and When to Use, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Knowledge Graph is an agent skill from vibeeval/vibecosystem. Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Knowledge graphs. It works with Model Context Protocol. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.

When your agent uses it

Tasks that involve Knowledge graphs

Example prompts

“/knowledge-graph”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Index a Repository
Check Index Status
Search Code
Get Architecture Overview
Trace Call Paths
Query Dependency Graph

What it can do on your machine

Read from SKILL.md and the folder at commit 3b763b1. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
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

Knowledge Graph loads about 744 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 223 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~55
When it runs · the whole SKILL.md, loaded when a task matches: ~744

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 vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 223 words, ~744 tokens.

Download SKILL.mdSave it as .claude/skills/knowledge-graph/SKILL.md (or your agent's skills folder).

name: knowledge-graph
description: Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.

Knowledge Graph Integration

Overview

Transform any codebase into a queryable knowledge graph using codebase-memory MCP server. Instead of reading entire files, query the graph for exactly the context you need.

Token savings: 6-71x reduction compared to raw file reading.

Setup

Prerequisites

codebase-memory MCP server installed (~/bin/codebase-memory-mcp or via npm)
MCP config in ~/.mcp.json:

json

{
  "mcpServers": {
    "codebase-memory": {
      "command": "/path/to/codebase-memory-mcp",
      "args": []
    }
  }
}

Core Operations

1. Index a Repository

mcp__codebase-memory__index_repository
  project_name: "my-project"
  repo_path: "/path/to/repo"

First index takes 30-120s depending on repo size. Subsequent updates are incremental.

2. Check Index Status

mcp__codebase-memory__index_status
  project_name: "my-project"

3. Search Code

mcp__codebase-memory__search_code
  project_name: "my-project"
  query: "authentication middleware"

Returns relevant code snippets without reading entire files.

4. Get Architecture Overview

mcp__codebase-memory__get_architecture
  project_name: "my-project"

Returns high-level architecture: modules, dependencies, entry points.

5. Trace Call Paths

mcp__codebase-memory__trace_call_path
  project_name: "my-project"
  from_symbol: "handleLogin"
  to_symbol: "validateToken"

6. Query Dependency Graph

mcp__codebase-memory__query_graph
  project_name: "my-project"
  query: "what depends on auth module?"

When to Use

Scenario	Without Graph	With Graph
Code review	Read all changed files + imports	Query impact of changes
Bug investigation	Read 10-20 files manually	Trace call path to bug
Refactoring	Read entire module	Query all dependents
Architecture review	Read project top-down	Get architecture overview

Integration with Agents

code-reviewer

Before reviewing, query the graph for the blast radius of changes:

search_code("functions that call {changed_function}")

architect

Get architecture overview before proposing changes:

get_architecture("project")

sleuth

Trace call paths to understand bug propagation:

trace_call_path("buggy_function", "entry_point")

Token Savings Examples

Operation	Raw Reading	Graph Query	Savings
Find all callers of function	~50K tokens	~700 tokens	71x
Architecture overview	~200K tokens	~3K tokens	67x
Impact analysis for PR	~30K tokens	~2K tokens	15x
Find related tests	~20K tokens	~1.5K tokens	13x

Files

Just SKILL.md in skills/knowledge-graph of vibeeval/vibecosystem.

Open the folder on GitHubat commit 3b763b1

Compare with similar skills

Knowledge Graph 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.

Knowledge Graph compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Knowledge Graph this skillvibeeval/vibecosystem	531	—	~744	Automated safety check: Pass	MIT	2 mo ago
Gitnexus Guideaws-samples/sample-kolya-br-proxy	106	10 repos	~867	Automated safety check: Pass	MIT-0	2 days ago
Sage Wikixoai/sage-wiki	620	—	~2.4k	Automated safety check: Pass	MIT	yesterday
Remnic Entitiesjoshuaswarren/remnic	215	—	~612	Automated safety check: Pass	MIT	yesterday
Knowledge Layerstudy8677/repobrain	1.3k	—	~324	Automated safety check: Pass	MIT	28 days ago
Memex Best Practicesiamtouchskyer/memex	142	—	~2.9k	Automated safety check: Pass	MIT	29 days ago

Similar skills

Gitnexus Guide
aws-samples/sample-kolya-br-proxy
Official
A skill your agent uses when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference.
106 GitHub starsUsed in 10 repos~867 tokens
Knowledge ManagementAuto-check passed
Sage Wiki
xoai/sage-wiki
Reference skill for sage-wiki — local-first knowledge graph with MCP server, REST API, compiled wiki, and Obsidian-compatible output.
620 GitHub stars~2.4k tokensUpdated yesterday
Knowledge ManagementAuto-check passed
Remnic Entities
joshuaswarren/remnic
Browse entities in the Remnic knowledge graph and surface their facts and relationships.
215 GitHub stars~612 tokensUpdated yesterday
Knowledge ManagementAuto-check passed
Knowledge Layer
study8677/repobrain
High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support.
1.3k GitHub stars~324 tokensUpdated 28 days ago
Knowledge ManagementAuto-check passed
Memex Best Practices
iamtouchskyer/memex
Zettelkasten best practices for building a high-quality knowledge graph.
142 GitHub stars~2.9k tokensUpdated 29 days ago
Knowledge ManagementAuto-check passed
Ask
agenticnotetaking/arscontexta
Query the bundled research knowledge graph for methodology guidance.
3.5k GitHub starsUsed in 1 repo~5.7k tokens
Knowledge ManagementAuto-check passed

Questions about Knowledge Graph

What does Knowledge Graph do?

Knowledge graph integration for token-efficient codebase understanding. Knowledge Graph is an agent skill from vibeeval/vibecosystem. Knowledge graph integration for token-efficient codebase understanding.

When should I use Knowledge Graph?

Knowledge Graph fits situations like: tasks that involve Knowledge graphs.

How do I install Knowledge Graph in Claude Code?

Run `npx skills add vibeeval/vibecosystem --skill knowledge-graph -a claude-code`. Or copy the skill folder (skills/knowledge-graph in vibeeval/vibecosystem) into .claude/skills/knowledge-graph in your project. Claude Code loads it when a task matches its description.

How do I install Knowledge Graph in Codex?

Run `npx skills add vibeeval/vibecosystem --skill knowledge-graph -a codex`. Or copy the skill folder (skills/knowledge-graph in vibeeval/vibecosystem) into .agents/skills/knowledge-graph in your project. Codex loads it when a task matches its description.

Can I use Knowledge Graph 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 vibeeval/vibecosystem --skill knowledge-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/knowledge-graph, .gemini/skills/knowledge-graph, .github/skills/knowledge-graph and .opencode/skills/knowledge-graph in your project.

What does Knowledge Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Knowledge Graph is instructions for the agent only.

Does Knowledge Graph 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 Knowledge Graph 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 Knowledge Graph use?

Knowledge Graph 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 Knowledge Graph use?

About 744 tokens (SKILL.md is roughly 3k 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 Knowledge Graph?

Skills that share tags, products or a category with Knowledge Graph: Gitnexus Guide (aws-samples/sample-kolya-br-proxy, 106 stars), Sage Wiki (xoai/sage-wiki, 620 stars), Remnic Entities (joshuaswarren/remnic, 215 stars) and Knowledge Layer (study8677/repobrain, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Knowledge Graph?

vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.

Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Knowledge Graph

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Knowledge Graph Integration

Overview

Setup

Prerequisites

Core Operations

1. Index a Repository

2. Check Index Status

3. Search Code

4. Get Architecture Overview

5. Trace Call Paths

6. Query Dependency Graph

When to Use

Integration with Agents

code-reviewer

architect

sleuth

Token Savings Examples

Files

Compare with similar skills

Similar skills

More from vibeeval/vibecosystem

Related

Questions about Knowledge Graph