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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"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating스타 36(GitHub 36 + cccskills 0)

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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

Bind the repository first

Step 1 discovers what is indexed; every call after it must say which of those it means. With one indexed repository, use the examples below as written. With more than one, pass repo on every call: an omitted repo normally errors, but under an MCP policy with a configured default it resolves to that default silently. If you cannot tell which repository is meant, stop and ask. Report the bound repository and index freshness alongside your explanation.

list_repos is paginated, so page with offset: pagination.nextOffset until hasMore is false before concluding a repository is absent.

Workflow

1. list_repos {} or READ gitnexus://repos                          → Discover indexed repos
2. READ gitnexus://repo/{name}/context             → Codebase overview, check staleness
3. query({search_query: "<what you want to understand>"})  → Find related execution flows
4. 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 node .gitnexus/run.cjs analyze in terminal.

Checklist

- [ ] list_repos {} — bind repo; explicit repo when >1 indexed, ask if ambiguous
- [ ] READ gitnexus://repo/{name}/context
- [ ] query for the concept you want to understand
- [ ] Review returned processes (execution flows)
- [ ] context on key symbols for callers/callees
- [ ] READ process resource for full execution traces
- [ ] Read source files for implementation details
- [ ] State the repository and index freshness with the explanation

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

query — find execution flows related to a concept:

query({search_query: "payment processing", repo: "my-app"})
→ Processes: CheckoutFlow, RefundFlow, WebhookHandler
→ Symbols grouped by flow with file locations

context — 360-degree view of a symbol:

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

repo is required once more than one repository is indexed, and may be omitted with a single one.

Example: "How does payment processing work?"

1. list_repos {}                             → total: 1 (my-app) — bind it
   READ gitnexus://repo/my-app/context       → 918 symbols, 45 processes
2. query({search_query: "payment processing"})
   → CheckoutFlow: processPayment → validateCard → chargeStripe
   → RefundFlow: initiateRefund → calculateRefund → processRefund
3. context({name: "processPayment"})
   → Incoming: checkoutHandler, webhookHandler
   → Outgoing: validateCard, chargeStripe, saveTransaction
4. Read src/payments/processor.ts for implementation details
5. Answer, noting: Repository my-app, index current

Had step 1 returned two repositories, every call above would carry repo: "my-app".

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같은 저장소의 스킬

Use when the user wants to learn, be taught, be quizzed, or understand an idea across any domain — science, math, philosophy, code, law, politics, psychology, medicine, arts, or history — with active scaffolding.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

ax

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This skill helps with using the @ax-llm/ax TypeScript library for building LLM applications. Use when the user asks about ax(), ai(), f(), s(), agent(), flow(), AxGen, AxAgent, AxFlow, signatures, streaming, or mentions @ax-llm/ax.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

ax-agent

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This skill helps an LLM generate correct AxAgent code using @ax-llm/ax. Use when the user asks about agent(), child agents, namespaced functions, discovery mode, shared fields, llmQuery(...), RLM code execution, recursionOptions, or agent runtime behavior. For tuning and eval with agent.optimize(...), use ax-agent-optimize.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

This skill helps an LLM generate correct AxAgent tuning and evaluation code using @ax-llm/ax. Use when the user asks about agent.optimize(...), judgeOptions, eval datasets, optimization targets, saved optimizedProgram artifacts, or recursive optimization guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

ax-ai

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This skill helps an LLM generate correct AI provider setup and configuration code using @ax-llm/ax. Use when the user asks about ai(), providers, models, presets, embeddings, extended thinking, context caching, or mentions OpenAI/Anthropic/Google/Azure/Groq/DeepSeek/Mistral/Cohere/Together/Ollama/HuggingFace/Reka/OpenRouter with @ax-llm/ax.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

ax-flow

무료

This skill helps an LLM generate correct AxFlow workflow code using @ax-llm/ax. Use when the user asks about flow(), AxFlow, workflow orchestration, parallel execution, DAG workflows, conditional routing, map/reduce patterns, or multi-node AI pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diogenesoftoronto/keating362026년 10월 20일 업데이트

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