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Gitnexus Cli

Community
ceilf6
gitnexus-cli

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Overview

Publisherceilf6
RepositoryFrontAgent
Skill namegitnexus-cli
Stars
120
Forks
19
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ceilf6 on GitHub. Read the source before you install it.

Installation

Install the Gitnexus Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ceilf6/FrontAgent/tree/develop/.agents/skills/gitnexus/gitnexus-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ceilf6/FrontAgent.git /tmp/FrontAgent
mkdir -p .claude/skills
cp -r /tmp/FrontAgent/.agents/skills/gitnexus/gitnexus-cli .claude/skills/gitnexus-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gitnexus Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gitnexus Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gitnexus Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GitNexus CLI Commands

All commands work via npx — no global install required.

Commands

analyze — Build or refresh the index

bash
npx gitnexus analyze

Run from the project root. This parses all source files, builds the knowledge graph, writes it to .gitnexus/, and generates AGENTS.md / AGENTS.md context files.

FlagEffect
--forceForce full re-index even if up to date
--embeddingsEnable embedding generation for semantic search (off by default)
--drop-embeddingsDrop existing embeddings on rebuild. By default, an analyze without --embeddings preserves them.

When to run: First time in a project, after major code changes, or when gitnexus://repo/{name}/context reports the index is stale. In Codex, a PostToolUse hook detects staleness after git commit and git merge and notifies the agent to run analyze — the hook does not run analyze itself, to avoid blocking the agent for up to 120s and risking KuzuDB corruption on timeout.

status — Check index freshness

bash
npx gitnexus status

Shows whether the current repo has a GitNexus index, when it was last updated, and symbol/relationship counts. Use this to check if re-indexing is needed.

clean — Delete the index

bash
npx gitnexus clean

Deletes the .gitnexus/ directory and unregisters the repo from the global registry. Use before re-indexing if the index is corrupt or after removing GitNexus from a project.

FlagEffect
--forceSkip confirmation prompt
--allClean all indexed repos, not just the current one

wiki — Generate documentation from the graph

bash
npx gitnexus wiki

Generates repository documentation from the knowledge graph using an LLM. Requires an API key (saved to ~/.gitnexus/config.json on first use).

FlagEffect
--forceForce full regeneration
--model <model>LLM model (default: minimax/minimax-m2.5)
--base-url <url>LLM API base URL
--api-key <key>LLM API key
--concurrency <n>Parallel LLM calls (default: 3)
--gistPublish wiki as a public GitHub Gist

list — Show all indexed repos

bash
npx gitnexus list

Lists all repositories registered in ~/.gitnexus/registry.json. The MCP list_repos tool provides the same information.

After Indexing

  1. Read gitnexus://repo/{name}/context to verify the index loaded
  2. Use the other GitNexus skills (exploring, debugging, impact-analysis, refactoring) for your task

Troubleshooting

  • "Not inside a git repository": Run from a directory inside a git repo
  • Index is stale after re-analyzing: Restart Codex to reload the MCP server
  • Embeddings slow: Omit --embeddings (it's off by default) or configure provider credentials outside the reusable skill asset

Frequently asked questions

What does the Gitnexus Cli AI skill do?

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Why use Gitnexus Cli on TypingMind?

Because you install it once and use it with any model. Gitnexus Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gitnexus Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ceilf6/FrontAgent/tree/develop/.agents/skills/gitnexus/gitnexus-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gitnexus Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gitnexus Cli?

As many as you like. As long as a model supports skills, you can use Gitnexus Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gitnexus Cli AI skill free?

Yes. It is published on GitHub by ceilf6 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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