Ask — Context-Aware Q&A

Trigger

• Keywords: ask, quick question, context question, project question, 問一下, 想了解, 想知道

When NOT to Use

Procedure

Phase 0: Session Context Capture

Run these 4 commands in parallel to build session context:

Untracked file fallback: If feature resolver returns key: null, derive feature from changed/untracked paths:

1. Parse git status --porcelain output for docs/features/<key>/ or skills/<key>/ patterns
2. Extract <key> as candidate feature
3. Use this for docs intent feature-first lookup when resolver fails

Phase 1: Intent Classification + Routing

1a. Conversation Context Integration

Before classifying intent, review prior conversation turns for:

• Active feature: feature being developed, files recently discussed or edited
• Ongoing task: what skill was last invoked, what phase we are in
• Implicit scope: if the user asks "why?" after a code change, the scope is that change

Use this context to disambiguate the question and select the right intent. See references/intent-patterns.md for edge cases.

1b. Intent Classification

Classify the question (LLM-inferred) into one or more intents:

1c. Skill Routing Check

Before gathering context, check if the question is action-oriented. See references/routing-table.md.

If a better skill is identified, suggest it: "這個問題更適合 /X，要改用嗎？" — do not auto-redirect.

Phase 2: Context Gathering

Execute per-intent tool call sequences. Hard limits apply.

code: Grep keywords (top 10 files) → Read most relevant (max 5) → trace imports (1 level)

git: git log --oneline -20 → git diff (if recent changes) → git blame (if specific lines)

docs: Resolve feature → use canonical_docs map (tech_spec, requirements, architecture) → fallback Glob "docs/**/*.md" (top 5) → Read (max 3)

rules: Glob rules/*.md + .claude/rules/*.md → Grep keywords → Read + quote (max 3)

skill: Glob skills/*/SKILL.md → Grep keywords (top 5) → Read (max 3)

arch: Read CLAUDE.md + key entrypoints → dispatch Explore agent

multi: Combine steps from each intent. Parallel execution. Hard limit: max 8 file reads total.

Phase 3: Sub-Agent Dispatch (Optional)

Dispatch when: Grep returns > 10 files across modules, or question involves architecture / cross-cutting concerns. Default: direct tool calls.

Phase 4: Answer Synthesis

Combine all gathered context into a structured answer. Follow the output format below.

Read-Only Enforcement

This skill is strictly read-only. The following git commands are prohibited:

git add | git commit | git push | git pull | git reset | git stash
git rebase | git merge | git checkout -- | git restore | git clean

allowed-tools does not include Edit, Write, or NotebookEdit.

Path Security

Output Format

## Answer

{Direct, concise answer}

### Sources

| Type | Reference | Relevance |
|------|-----------|-----------|
| file | `path/file.js:42` | {why relevant} |
| commit | `abc1234 — message` | {why relevant} |
| command | `git log --oneline -5` | {result summary} |

### See Also

- `/code-explore` — for full trace
- {other relevant skill or doc}

Every claim must have at least one source evidence. Answer < 500 words unless user requests detail.

Verification

• Session context captured (branch, feature, changed files)
• Intent classified and context gathered per pipeline
• Source attribution present for all claims
• No Edit/Write/mutating git commands executed
• No secrets in output

References

• references/intent-patterns.md — Detailed intent examples and edge cases (read when classifying ambiguous questions)
• references/routing-table.md — Full skill routing decision table (read when checking if another skill is better)

Examples

Code Question

Input: /ask resolve-feature-cli.js 怎麼偵測 feature？
Phase 0: branch=feat/ask, feature=ask
Phase 1: Intent=code (file path mentioned)
Phase 2: Grep "resolve-feature" → Read scripts/lib/feature-resolver.js → trace exports
Phase 4: Answer with Sources (file evidence)

Git Question

Input: /ask 最近有什麼 commit？
Phase 0: branch=feat/ask
Phase 1: Intent=git ("最近", "commit")
Phase 2: git log --oneline -20
Phase 4: Answer with Sources (commit + command evidence)

Multi-Intent Question

Input: /ask auto-loop 的規則是什麼？有哪些 skill 會用到？
Phase 0: branch=feat/ask
Phase 1: Intent=multi (rules + skill)
Phase 2: Read rules/auto-loop.md + Grep "auto-loop" in skills/*/SKILL.md
Phase 4: Answer with Sources (file evidence from both rules and skills)