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Gitnexus Exploring

Community
ceilf6
gitnexus-exploring

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

Overview

Publisherceilf6
RepositoryFrontAgent
Skill namegitnexus-exploring
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 Exploring 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-exploring
  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-exploring .claude/skills/gitnexus-exploring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gitnexus Exploring 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 Exploring 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 Exploring 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.

Exploring Codebases with GitNexus

When to Use

  • "How does authentication work?"
  • "What's the project structure?"
  • "Show me the main components"
  • "Where is the database logic?"
  • Understanding code you haven't seen before

Workflow

1. READ gitnexus://repos                          → Discover indexed repos
2. READ gitnexus://repo/{name}/context             → Codebase overview, check staleness
3. gitnexus_query({query: "<what you want to understand>"})  → Find related execution flows
4. gitnexus_context({name: "<symbol>"})            → Deep dive on specific symbol
5. READ gitnexus://repo/{name}/process/{name}      → Trace full execution flow

If step 2 says "Index is stale" → run npx gitnexus analyze in terminal.

Checklist

- [ ] READ gitnexus://repo/{name}/context
- [ ] gitnexus_query for the concept you want to understand
- [ ] Review returned processes (execution flows)
- [ ] gitnexus_context on key symbols for callers/callees
- [ ] READ process resource for full execution traces
- [ ] Read source files for implementation details

Resources

ResourceWhat you get
gitnexus://repo/{name}/contextStats, staleness warning (~150 tokens)
gitnexus://repo/{name}/clustersAll functional areas with cohesion scores (~300 tokens)
gitnexus://repo/{name}/cluster/{name}Area members with file paths (~500 tokens)
gitnexus://repo/{name}/process/{name}Step-by-step execution trace (~200 tokens)

Tools

gitnexus_query — find execution flows related to a concept:

gitnexus_query({query: "payment processing"})
→ Processes: CheckoutFlow, RefundFlow, WebhookHandler
→ Symbols grouped by flow with file locations

gitnexus_context — 360-degree view of a symbol:

gitnexus_context({name: "validateUser"})
→ Incoming calls: loginHandler, apiMiddleware
→ Outgoing calls: checkToken, getUserById
→ Processes: LoginFlow (step 2/5), TokenRefresh (step 1/3)

Example: "How does payment processing work?"

1. READ gitnexus://repo/my-app/context       → 918 symbols, 45 processes
2. gitnexus_query({query: "payment processing"})
   → CheckoutFlow: processPayment → validateCard → chargeStripe
   → RefundFlow: initiateRefund → calculateRefund → processRefund
3. gitnexus_context({name: "processPayment"})
   → Incoming: checkoutHandler, webhookHandler
   → Outgoing: validateCard, chargeStripe, saveTransaction
4. Read src/payments/processor.ts for implementation details

Frequently asked questions

What does the Gitnexus Exploring AI skill do?

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

Why use Gitnexus Exploring on TypingMind?

Because you install it once and use it with any model. Gitnexus Exploring 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 Exploring in TypingMind?

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

Which AI models can use Gitnexus Exploring?

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 Exploring?

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

Is the Gitnexus Exploring 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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