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"
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See how to installReview the instructions the agent will receive before you install.
All commands work via npx — no global install required.
npx gitnexus analyze
Run from the project root. This parses all source files, builds the knowledge graph, writes it to .gitnexus/, and generates CLAUDE.md / AGENTS.md context files.
| Flag | Effect |
|---|---|
--force | Force full re-index even if up to date |
--embeddings | Enable embedding generation for semantic search (off by default) |
When to run: First time in a project, after major code changes, or when gitnexus://repo/{name}/context reports the index is stale.
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.
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.
| Flag | Effect |
|---|---|
--force | Skip confirmation prompt |
--all | Clean all indexed repos, not just the current one |
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).
| Flag | Effect |
|---|---|
--force | Force 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) |
--gist | Publish wiki as a public GitHub Gist |
npx gitnexus list
Lists all repositories registered in ~/.gitnexus/registry.json. The MCP list_repos tool provides the same information.
gitnexus://repo/{name}/context to verify the index loadedexploring, debugging, impact-analysis, refactoring) for your task--embeddings (it's off by default) or set OPENAI_API_KEY for faster API-based embeddingNo reviews yet. Tell others what you thought.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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