learn-investigate

Flags:

• --scope <path> — Restrict to files under this directory (default: entire project)
• --max-hypotheses N — Max hypotheses before escalating (default: 3)
• --no-persist — Skip writing to learnings.md (report.md still written locally)
• -y — Skip user confirmation prompts (headless mode)

Output: .workflow/knowhow/KNW-investigate-{slug}/ (evidence.ndjson, understanding.md, report.md)

Output boundary: ALL file writes MUST target .workflow/knowhow/KNW-investigate-{slug}/ and .workflow/specs/learnings.md only. NEVER modify source code or files outside these paths.

Phase Gates (MANDATORY, BLOCKING)

GATE 1: Frame → Evidence Collection

• REQUIRED: Question parsed, slug generated, investigation directory created.
• REQUIRED: Prior knowledge search completed (maestro search + learnings.md + debug-notes).
• BLOCKED if: no question provided (E001) or scope path not found (E002).

GATE 2: Evidence → Hypothesis Formation

• REQUIRED: At least 3 evidence items collected in evidence.ndjson.
• BLOCKED if: fewer than 3 evidence matches (W002 — broaden search before proceeding).

GATE 3: Hypothesis Testing → Report

• REQUIRED: All hypotheses tested (up to max-hypotheses) with results recorded.
• REQUIRED: If all failed, 3-strike escalation triggered via request_user_input.
• BLOCKED if: hypotheses remain untested.

GATE 4: Report → Completion

• REQUIRED: report.md written with answer, evidence trail, hypothesis results.
• REQUIRED: Unless --no-persist, user confirmation obtained before learnings append.
• BLOCKED if: user declines — offer to adjust findings before retry.

Stage 1: Frame the Question

• Parse question, generate slug, create investigation directory
• Load debug specs: maestro load --type spec --category debug for known issues and patterns
• Search prior knowledge: maestro search --category debug, wiki search, grep .workflow/specs/learnings.md
• Write initial understanding.md

Stage 2: Evidence Collection

1. Code search: Grep keywords across scoped files
2. File inspection: Read most relevant files
3. Import tracing: Follow dependency chain
4. Git history: git log --oneline -10 -- <relevant-files>

Each evidence item → evidence.ndjson:

{"ts":"ISO","type":"code|git|search|doc","source":"file:line","relevance":"high|medium|low","content":"...","note":"..."}

Stage 3: Hypothesis Formation + Testing

Generate ranked hypotheses from evidence. For each (in rank order):

1. Design test: what evidence would confirm/disprove?
2. Execute test: code trace, targeted search, experiment
3. Record result in evidence.ndjson (type: "test")
4. Update understanding.md: confirmed / disproved / inconclusive

Stage 4: 3-Strike Escalation

If all hypotheses fail: broaden scope, search wiki with alt keywords, or mark INCONCLUSIVE.

Stage 5: Synthesize + Persist (confirmation-gated)

1. Write report.md with answer, evidence trail, hypothesis results
2. If --no-persist: skip learnings append, display summary only
3. Otherwise: Confirmation gate — unless -y is set, prompt user via request_user_input: "Persist findings to learnings.md? (y/n)". (If -y, auto-confirm.)
   • y (or auto-confirm) → append to .workflow/specs/learnings.md:
     • Confirmed → category: "technique" / "pattern"
     • Disproved → category: "gotcha"
   • n → skip learnings append
4. Display summary with next-step routing

Next steps: $spec-add debug <finding>, $learn-follow <path>, $learn-decompose <module>

<error_codes>

Code	Severity	Condition	Recovery
E001	error	No question provided	Provide question as first argument
E002	error	Scope path does not exist	Check --scope path
W001	warning	No prior knowledge found	Proceed with fresh investigation
W002	warning	Very few evidence matches (<3)	Broaden search terms
W003	warning	All hypotheses inconclusive	Marked INCONCLUSIVE
</error_codes>

<success_criteria>

• Question parsed and investigation directory created
• Evidence collected and logged to evidence.ndjson
• At least 1 hypothesis formed and tested
• understanding.md tracks evolving understanding
• report.md written with answer and evidence trail
• User confirmation obtained before learnings append (unless --no-persist or -y)
• Findings appended to .workflow/specs/learnings.md with stable INS-ids (if confirmed)
• 3-strike escalation triggered if all hypotheses fail </success_criteria>