learn

name	learn
description	Knowledge compiler. Extracts patterns, decisions, and anti-patterns from completed campaigns and evolve cycles, then compiles them into structured wiki pages that integrate with existing knowledge rather than appending isolated files. Implements flush→compile→lint pipeline. Auto-triggered by /postmortem and /evolve Phase 6.
user-invocable	true
auto-trigger	false
last-updated	"2026-05-07T00:00:00.000Z"

/learn — Knowledge Compiler

Orientation

Use when: You have a completed campaign or evolve cycle and want to compile its findings into the project's growing knowledge wiki — so future sessions start smarter, not from scratch.

Don't use when: You want a structured incident analysis first (use /postmortem — run it before /learn); you haven't finished any campaigns (nothing to compile); you want a context transfer only (use /session-handoff).

Key difference from appending: /learn doesn't create isolated per-campaign files. It integrates new findings into existing wiki pages — updating evidence lists, raising confidence where a pattern is confirmed again, and flagging contradictions. A wiki is a compiler; a log is an interpreter.

Invocation Forms

/learn                              — most recently completed campaign
/learn {slug}                       — specific campaign by slug
/learn {file-path}                  — specific campaign file path
/learn --from-evolve {target}       — compile from /evolve pattern library
/learn --from-evolve {target} --cycle {n}  — specific evolve cycle only
/learn --lint                       — lint-only pass (no new extraction)
/learn --compile                    — re-compile staging area into wiki (no new extraction)

Inputs

1. A campaign slug, file path, evolve target, or "most recent" resolution
2. Corresponding postmortem in .planning/postmortems/ (optional)
3. .planning/telemetry/audit.jsonl filtered to this campaign (optional)
4. For --from-evolve: .planning/evolve/{target}/pattern-library.md

Protocol

Step 1: RESOLVE TARGET

If /learn (no argument):

• Glob .planning/campaigns/completed/*.md or .planning/campaigns/*.md where Status: completed
• Sort by modification time descending, take most recent
• If none found: "No completed campaigns found. Run /learn after a campaign completes." Stop.

If /learn {slug}:

• Search .planning/campaigns/ for a file whose name contains {slug}
• Check .planning/campaigns/completed/ if not found in active
• If still not found: "No campaign found matching '{slug}'."

If /learn --from-evolve {target}:

• Read .planning/evolve/{target}/pattern-library.md — this is the source
• If --cycle {n}: filter to sections beginning with ## Cycle {n} only
• If file not found: "No evolve pattern library for '{target}'." Stop.

If /learn --lint or /learn --compile: Skip to Step 4 or 5 respectively.

Step 2: GATHER SOURCES

For campaign-based runs only (skip for --from-evolve):

Campaign file (required):

• Full content — direction, phases, Decision Log, circuit breaker activations

Postmortem (optional):

• Search .planning/postmortems/ for files matching *{slug}*
• If not found: note "Postmortem not found — proceeding without it" and continue

Audit telemetry (optional):

• Read last 200 lines of .planning/telemetry/audit.jsonl
• Filter entries that match the campaign slug or its active period
• If none: note "No audit telemetry found for this campaign"

Step 3: FLUSH

Extract raw findings and write to staging.

For campaign sources:

Extract four categories:

A. Successful Patterns — approaches that demonstrably worked (phases completed without rework, postmortem positives, no reverts). Per pattern: name, mechanism (what caused success), evidence (phase/commit/entry), topic (infer from subject matter), applicability.

B. Anti-patterns — what was tried and failed (rework phases, circuit breaker trips, quality gate blocks, reverts). Per pattern: name, what-was-tried, failure-mode, evidence, topic, avoidance.

C. Key Decisions — from Decision Log or inferred from phase descriptions. Per decision: what, rationale, outcome (completed or rework).

D. Quality Rule Candidates — only generate if: specific regex, applies to a specific file pattern, occurred more than once or was severe. Per candidate: regex, file pattern, trigger message, confidence (high/medium/low — skip low).

For evolve sources:

Parse the pattern library's sections. For each pattern record:

• name: section heading
• mechanism: "Mechanism:" field
• delta: "Delta:" field
• topic: infer from "Axis class:" (e.g., orientation_precision → skill-orientation)
• applies-to: "Applies to:" field
• confidence: "Confidence:" field
• evidence: source file + cycle number

Staging write:

Create .planning/wiki/_staging/ if it does not exist. Write staged findings to .planning/wiki/_staging/{source-slug}-{timestamp}.jsonl — one JSON record per finding (newline-delimited).

If zero findings are extractable: write staging file with a single {"type":"empty","source":"{slug}"} record and note "Campaign may have been too brief."

Step 4: COMPILE

Integrate staged findings into wiki pages.

Create .planning/wiki/ if it does not exist.

For each staged finding:

1. Determine the wiki page: .planning/wiki/{topic}.md where topic is the finding's topic field (normalized to kebab-case).
2. Read the wiki page if it exists.
3. If the page exists and contains a section for this pattern (match on ## {name}):
   • Append the new source to the **Evidence:** list
   • Update **Last confirmed:** to today
   • If new confidence >= existing confidence: raise it
   • If new evidence contradicts the existing mechanism: add a **Conflict:** field — do not silently overwrite
4. If the page exists but has no section for this pattern:
   • Append a new section with the full finding
5. If the page does not exist:
   • Create it with the frontmatter template (see below) and the finding as the first section

Wiki page format:

---
topic: {slug}
last-compiled: {ISO date}
sources: {N}
---

# {Topic Title}

## {Pattern Name}
**Mechanism:** {what causes success/failure}
**Evidence:** {source-1 (date)}, {source-2 (date)}, ...
**Confidence:** high/medium/low
**Last confirmed:** {ISO date}
**Applies to:** {scope}

After compiling all findings: update .planning/wiki/index.md — one line per wiki page: - [{topic}]({topic}.md) — {one-line description}. Create index.md if it does not exist.

Step 5: LINT

Scan all .planning/wiki/*.md pages (skip index.md).

Contradiction check: For each page, if two sections contain opposing directives ("always X" vs "never X", "prefer X" vs "avoid X"), flag as: CONFLICT: [{page}] {section-A} contradicts {section-B} — requires human resolution

Staleness check: Sections with **Last confirmed:** older than 60 days are flagged as: STALE: [{page}] {section} — last confirmed {date}, consider re-testing

Coverage check: Warn if a wiki page has fewer than 2 sections — single-entry pages are fragile.

Lint results are reported in the summary. Lint does not modify wiki pages.

Step 6: APPEND QUALITY RULES

For each high/medium-confidence rule candidate in the staged findings:

1. Read .claude/harness.json (create with {} if missing)
2. Initialize qualityRules.custom to [] if absent
3. Skip if a rule with the same pattern already exists
4. Append: { "name": "auto-{slug}-{N}", "pattern": "{regex}", "filePattern": "{glob}", "message": "Learned from {slug}: {message}" }
5. Write updated harness.json

Skip low-confidence rules.

Step 7: OUTPUT SUMMARY

=== /learn: {Source} ===
Mode: {campaign | evolve-{target} | lint-only | compile-only}
Sources: {campaign path | evolve path} | postmortem {path or "not found"} | {N} audit entries
Staged: {N} findings → .planning/wiki/_staging/{file}
Compiled: {N} patterns integrated | {M} new wiki sections | {K} existing sections updated
Wiki pages: .planning/wiki/{topic-1}.md, ...
Lint: {conflicts found | clean} | {stale entries} | {coverage warnings}
Rules added to harness.json: {M} ({K} skipped — already exist)
Next: review .planning/wiki/index.md — promote stable patterns to CLAUDE.md for permanent enforcement.

Fringe Cases

No completed campaigns: Output message and stop.

.planning/ does not exist: Output "Run /do setup first to initialize the harness state directory." Stop.

No Decision Log: Extract decisions from phase descriptions; note "inferred from phase descriptions."

harness.json missing: Create with only the qualityRules section; do not invent other fields.

Duplicate quality rule: Skip silently; count in "skipped — already exist."

Postmortem missing: Proceed without it; note in summary.

Large telemetry file: Read last 200 lines only.

Zero extractable findings: Write staging file noting source was empty. Do not skip wiki/index update.

Wiki page conflict detected at compile time: Add a **Conflict:** field to the section. Never silently overwrite the existing mechanism.

evolve pattern-library.md missing: "No evolve pattern library for '{target}'. Run /evolve {target} first to generate patterns." Stop.

Contextual Gates

Disclosure: "Compiling findings into .planning/wiki/. Modifies wiki pages in-place; creates staging files." Reversibility: green — all writes are to .planning/wiki/ and .planning/wiki/_staging/; git restore .planning/wiki/ or delete the directory to undo. Quality rule additions to harness.json can be manually removed. Trust gates:

• Any: run on any completed campaign or evolve target

Quality Gates

• Never invent patterns not supported by evidence in the source files
• Never write a quality rule with confidence < medium
• Never duplicate an existing quality rule (check before appending)
• Wiki index must be updated on every compile run
• Lint must run after every compile (not skipped)
• Conflicts must be flagged, never silently resolved
• Summary output must include counts for all phases

Exit Protocol

/learn does not produce a full HANDOFF block (it is a utility, not a campaign). It outputs the summary block in Step 7 and waits for the next command.