skills/92bilal26/session-intelligence-harvester/SKILL.md
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
npx skillsauth add aiskillstore/marketplace session-intelligence-harvesterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Transform session learnings into permanent organizational intelligence by implementing updates across RII components. After productive sessions involving corrections, discoveries, or pattern identification, systematically extract what was learned, route it to the correct component, and apply the changes.
Why this matters: One-time fixes that aren't encoded into RII components will recur. The Chapter N skill format drift happened because no check existed to prevent it. After harvesting, that failure mode is encoded in 4 files—future sessions automatically benefit.
Automatic Triggers (proactively suggest harvesting):
Manual Triggers (user requests):
Default to action: Implement all updates rather than only proposing them. Read target files, make edits, and commit changes. Only propose without implementing if explicitly asked.
Analyze the session by answering these questions. Write your analysis to track progress:
1. CORRECTIONS MADE
- What errors/drift were corrected?
- What was wrong vs what is now correct?
- Why did the error occur? (missing check, format drift, etc.)
WHY THIS MATTERS: Understanding root cause determines which RII
component prevents recurrence. Format drift → agent convergence
pattern. Missing context → CLAUDE.md protocol step.
2. PATTERNS IDENTIFIED
- What recurring patterns emerged?
- What canonical sources were referenced?
- What validation would have caught this earlier?
WHY THIS MATTERS: Patterns that recur across sessions deserve
encoding. If you referenced a canonical source, other sessions
will need that same reference.
3. LEARNING CLASSIFICATION
- Context-gathering gap? (CLAUDE.md)
- Pedagogical/teaching issue? (Constitution)
- Agent convergence pattern? (Agents)
- Reusable workflow? (Skills)
- Missing orchestration check? (Commands)
WHY THIS MATTERS: Wrong routing means learnings don't trigger at
the right time. A convergence pattern in CLAUDE.md won't help
chapter-planner catch it during planning.
Use this routing table. Route learnings to the component where they will be discovered at the right time:
| Learning Type | Target Component | Location | What to Add | When It Triggers | |---------------|------------------|----------|-------------|------------------| | Context-gathering gaps | CLAUDE.md | Section I | New step in context protocol | Before ANY platform work | | Failure mode example | CLAUDE.md | Failure modes | Named example with correction | When similar situation detected | | Pedagogical framework | Constitution | Section IIa | Teaching method update | During lesson design | | Agent convergence pattern | Agent file | Convergence Patterns | Pattern + why + correction | During agent execution | | Agent self-monitoring | Agent file | Self-Monitoring Checklist | New checklist item | Before agent finalizes output | | Canonical source lookup | Multiple agents | Analysis Questions | Cross-reference check | During planning phase | | Reusable workflow | New skill | .claude/skills/ | New SKILL.md | When user invokes skill | | Orchestration check | Command file | Phase 0 or relevant phase | New validation step | During workflow execution | | Format specification | Canonical source chapter | Lesson content | Authoritative format | When teaching that pattern |
WHY ROUTING MATTERS: Learnings placed in the wrong component don't prevent recurrence. A check in content-implementer.md won't help if the error happens during chapter-planner execution.
For each identified learning:
## Learning: [Brief Title]
**Type**: [Context gap | Failure mode | Convergence pattern | etc.]
**Target**: [File path]
**Current State** (after reading file):
[What's missing or incorrect - quote existing content if helpful]
**Exact Placement**:
[Which section, after which content - be specific enough to Edit]
**Content to Add**:
[Exact content, matching the file's style and format]
**Rationale**:
[Why this prevents recurrence - what will trigger this check]
**Canonical Source** (if applicable):
[Which chapter/lesson defines the authoritative format]
Take action: Edit each target file. Use the Edit tool to make changes.
For each update:
Track completion:
Updates Progress:
- [x] CLAUDE.md - Added failure mode section
- [x] chapter-planner.md - Added convergence pattern 6
- [ ] sp.loopflow.v2.md - Adding Phase 0 check (in progress)
- [ ] content-implementer.md - Pending
Before finalizing, verify each of these (check the box as you confirm):
- [ ] Read each target file before editing (no speculation about structure)
- [ ] Verified each learning routes to the component where it triggers at the right time
- [ ] Confirmed updates include exact placement context (not vague locations)
- [ ] Checked canonical sources exist for format-related learnings
- [ ] Searched target files to confirm no duplicate information exists
- [ ] Used imperative form for agent files, appropriate style for others
- [ ] Added cross-references where pattern appears in multiple files
- [ ] All edits applied successfully (no pending changes)
Create PHR documenting:
Commit changes with descriptive message:
feat(intelligence): Harvest session learnings into RII
Updates:
- [File 1]: [What was added]
- [File 2]: [What was added]
Prevents: [What failure mode this prevents]
Section I: Context Gathering Protocol
- Step 1-N: Sequential context steps
- Each step has WHAT to do and WHY it matters
- "Find canonical source" step for pattern teaching
Failure Modes (between Section I and II):
- Named failure examples: "FAILURE MODE: [Name] Example"
- "What I did wrong" list
- "What I should have done" numbered steps
- "Result" showing what was prevented
Analysis Questions (Section III):
- Numbered questions with "Why this matters" explanation
- Self-check prompt at end
Principles (Section IV):
- Named principles with Framework + What this means + Application guidance
- Self-check prompt
Convergence Patterns (Section VI):
- "Generic pattern" description
- "Why this is convergence" explanation
- "Correction" with specific steps
Self-Monitoring Checklist (Section VIII):
- Numbered checklist with checkmark emoji prefix
- Each item is a verification question
Phase 0: Foundation checks
- Constitutional reading
- Canonical source checks (for educational content)
- Each step explains WHY
Convergence Patterns:
- Symptom description
- Detection method
- Correction steps
After completing harvest, provide summary:
## Session Intelligence Harvest Summary
**Session**: [Brief description]
**Date**: [ISO date]
**Status**: COMPLETE
### Learnings Extracted: [N]
| # | Learning | Type | Target | Status |
|---|----------|------|--------|--------|
| 1 | [Title] | [Type] | [File] | Applied |
| 2 | [Title] | [Type] | [File] | Applied |
### Updates Applied
1. **[File]**: [What was added] (lines X-Y)
2. **[File]**: [What was added] (lines X-Y)
### PHR Created
- Path: [PHR path]
- Stage: [Stage]
### Canonical Sources Referenced
- [Pattern]: [Chapter X Lesson Y]
### Commit
- Hash: [commit hash]
- Message: [commit message summary]
Session: Fixed skill format to use domain-based structure
Analysis:
CORRECTIONS MADE:
- Wrong: .claude/skills/section-writer.md (flat file, no domain)
- Correct: .claude/skills/authoring/section-writer/SKILL.md (domain + directory structure)
- Root cause: No domain organization for skills/agents
PATTERNS IDENTIFIED:
- Skills must be in authoring/ or engineering/ domain folders
- Agents must be in authoring/ or engineering/ domain folders
- Multiple files referenced old flat structure
CLASSIFICATION:
- Failure mode → CLAUDE.md
- Convergence pattern → chapter-planner.md, content-implementer.md
- Skill structure → skill-creator, session-intelligence-harvester
Updates Applied:
Session: Discovered lessons weren't checking chapter-index.md for prerequisites
Analysis:
CORRECTIONS MADE:
- Wrong: Started chapter work without reading chapter-index.md
- Correct: MUST read chapter-index.md first to get Part, proficiency, prerequisites
- Root cause: No mandatory step in context protocol
CLASSIFICATION:
- Context-gathering gap → CLAUDE.md Section I
Updates Applied:
Before marking harvest complete, verify you have:
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