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2026-02-23 Session Log

wrap-up v1 created, venture-pilot competitive-agents pipeline completed, business-avengers v2.0 MAKE, market-research-by-desire E2E test done...

wrap-upai-dev-trainerai-gamificationsave-improve-pointsventure-pilotbusiness-avengersmarket-research-by-desire

Topics Worked On Today

wrap-up

Created /wrap-up skill plugin v1.0.0 and iteratively improved to v3.0 (session management, filename conventions, checkbox updates)

Done

  • feat: created /wrap-up skill plugin v1.0.0 (7 files) — plugin.json, SKILL.md, CLAUDE.md, config.yaml, references/template.md, root CLAUDE.md, README.md
  • feat: registered to marketplace.json + symlink via link-local.sh
  • docs: added Mermaid process flowchart to README.md
  • fix: v1.1.0 — removed config.yaml reading (resolved symlink permission prompt issue)
  • feat: v2.0.0 — changed filename convention from project name to topic/feature name
  • feat: v2.1.0 — added existing file matching + user confirmation/selection flow
  • feat: v3.0.0 — context loading, checkbox updates ([ ]→[x]), same-day session time disambiguation
  • feat: added Project + Scope header

Key Decisions

  • Section structure: Done / Decisions / Issues / Next (4 sections, excluding Changed Files — git diff is sufficient)
  • Filename = topic name: allows working on different features within the same project → separate files per topic
  • Removed config.yaml reading: symlink path permission matching failure → using inline defaults instead

Next

  • Verify /wrap-up Append behavior in a new session (context loading + checkbox updates)
  • Commit project changes
  • Clean up unnecessary files (config.yaml, references/template.md)

venture-pilot

Ran full 5-phase competitive-agents pipeline — Alpha vs Beta competition followed by Fuse, Venture Pilot v1.0.0 with 35 files generated

Done

  • feat: completed full 5-phase competitive-agents pipeline
    • Phase 1: Alpha “Venture Pilot” 7 files + Beta “Venture Engine” ~90 files generated in parallel
    • Phase 2: Cross-review — Alpha 54/100, Beta 54.5/100 (nearly tied)
    • Phase 3: Critique-based v2 improvements — Alpha 12 files/1027 lines, Beta 38 files/1190 lines
    • Phase 4: Judge (Opus) final evaluation — Alpha 78.5/100 vs Beta 69.5/100
    • Phase 5: “Fuse A+B” → Alpha base + Beta architecture strengths integrated
  • feat: Fused Venture Pilot v1.0.0 — 35 files generated
    • SKILL.md 1,128 lines (43% reduction from original 1,987 lines)
    • 23 individual agent .md files (Beta pattern: YAML frontmatter + structured sections)
    • config/org-structure.yaml — 13 phase definitions + knowledge_refs
    • config/state.sh — jq-based JSON state management
    • 5 KB files (~30KB): business-model-canvas, lean-canvas, unit-economics, growth-frameworks, design-principles
  • docs: saved judge-report.md, FUSION-SUMMARY.md

Key Decisions

  • State management: adopted JSON + jq (Alpha) — sed YAML (Beta) breaks on edge cases
  • Agent definitions: adopted individual .md files (Beta) — easier to maintain than single agents.yaml file (Alpha)
  • KB mapping: adopted knowledge_refs in org-structure.yaml (Beta) — better extensibility than hardcoding in SKILL.md (Alpha)
  • Name: Venture Pilot — the co-pilot metaphor fits the solo entrepreneur target audience

Next

  • Review tempo/.../final/ contents and copy to plugins/venture-pilot/
  • Trigger test: /venture-pilot new "test idea"
  • Verify Phase 0 conversation flow works in practice
  • Review knowledge/ file fidelity

business-avengers

Completed v2.0 MAKE Methodology Extension + v2.0.1 audit fixes + v2.1 with 37 audit TODOs created

Done

  • feat: completed v2.0 MAKE Methodology Extension
    • Integrated Indie Maker Handbook (@levelsio) content into 4 layers: KB, agents, templates, orchestrator
    • Added Phase 10 (Growth), Phase 11 (Automation), Phase 12 (Scale & Exit)
    • Added 3 KB files, 15 templates, 3 workflow presets (make, full-lifecycle, post-launch)
    • Added MAKE framework to 6 agents
  • fix: v2.0.1 MAKE Audit fixes — clarified agent role boundaries, relocated Phase 11 agents, compressed templates
  • docs: conducted v2.1 process flow audit (3 parallel Opus agents) — CRITICAL 4 / HIGH 7 / IMPORTANT 13 / MEDIUM 4 / MINOR 9
  • docs: validated external AI UX/Content review — adopted 6 new UX improvements
  • chore: single commit 34d9173 (35 files, +14,192 lines)

Key Decisions

  • MAKE content placement principle: “Would an expert use this naturally regardless of MAKE?” → Yes: agent identity, No: KB reference
  • Phase 11 agent consolidation: CS Manager + Data Analyst → merged into 1 Business Analyst

Next

  • Execute v2.1 audit fixes (37 items)

ai-dev-trainer

Analyzed AI Dev Trainer service idea and created Lean Canvas PRD — positioned as “Codecademy meets Bolt.new”

Done

  • feat: completed idea analysis and competitive landscape research
    • Analyzed 6 categories of similar platforms (Bolt, v0, Lovable, Firebase Studio, Replit, Codecademy, etc.)
    • Market gap identified: no platform currently exists for “step-by-step learning of the full service development process with AI”
    • Derived 5 differentiation strategies, outlined 4 concerns
  • docs: ran Solo mode interview with /planning-interview skill → generated Lean Canvas PRD
    • Saved to: projects/ai-dev-trainer/lean-canvas-ai-dev-trainer-20260223.md
    • All 10 sections completed, includes 12-week Next Steps roadmap

Key Decisions

  • Product name: AI Dev Trainer
  • Positioning: “Codecademy meets Bolt.new” — guided builder + educational content hybrid
  • Core differentiation: repetitive training (improving AI utilization skills by repeating across multiple topics, not just once)
  • Primary target: students/general public (complete beginners), Revenue model: Freemium ($15/month Pro)
  • North Star Metric: number of repeat projects (users who complete a 2nd or more project)

Next

  • Demand validation: build landing page + collect 100-person waitlist
  • Finalize tech stack
  • Prototype full 7-step flow with 1 template
  • Detail technical spec with /spec-interview

ai-gamification

Gamification strategy for AI-collaborative development — structuring dev workflow with Quest Board + skill tree combination

Done

  • feat: completed brainstorming on gamification strategy for AI-collaborative development
  • docs: mapped game mechanics to development applications (goals, feedback, growth, difficulty, rewards)
  • docs: designed 3 feasible approaches
    • Quest Board system (structuring work in mission units)
    • Build → Battle → Reward loop (extending competitive-agents)
    • Skill tree-based growth system (plugin completion → skill unlock)
  • docs: decided Quest Board + skill tree combination as top recommendation

Key Decisions

  • Quest Board as realistic starting point: already well-separated into plugin units, making quest conversion natural
  • Prefer lightweight approach — can start immediately with a single QUEST_BOARD.md

Next

  • Actually design and create QUEST_BOARD.md (based on existing 18 plugins)
  • Define skill tree structure (map currently owned skill nodes)
  • Establish Quest difficulty/XP scoring criteria
  • Explore integration of competitive-agents with “Battle Phase”

save-improve-points

Initial design of plugin to accumulate session errors/lessons — identified storage structure, extraction method, deduplication issues

Done

  • feat: initial concept design for save-improve-points plugin
    • Conceived plugin to accumulate errors/fixes/lessons from sessions for use in improving Claude performance
    • Storage structure: per-project .claude/lessons-learned.md + global ~/.claude/lessons-learned.md
    • Per-item format: Category / Rule (behavioral guideline) / Context (background)
  • docs: documented core concerns — noise accumulation, generalization quality, storage location, deduplication

Key Decisions

  • Plugin name: save-improve-points (changed from previous improve-wrap-up)
  • Trigger via /improve-wrap-up command at end of session

Next

  • Finalize open decisions: storage target (CLAUDE.md append vs separate file), extraction method (automatic vs manual selection), scope
  • Write plugin directory structure and SKILL.md
  • Design lesson extraction prompt (session analysis → generalized rule generation)
  • Design deduplication and merging logic

market-research-by-desire (21:00)

Generated market-research-by-desire plugin via competitive-agents pipeline — Beta wins (86.0 vs 74.5)

Done

  • feat: completed plugin design with planning-interview (Lean Canvas + architecture plan)
  • feat: ran full competitive-agents pipeline
    • Phase 1: Alpha (Pragmatist, 15 files) + Beta (Architect, 18 files) generated in parallel
    • Phase 2: Cross-Review — Alpha 65.5/100, Beta 68.5/100
    • Phase 3: Improved v2 — Alpha 74.5/100, Beta 86.0/100
    • Phase 4: Judge (Opus) final verdict, Beta wins (+11.5 margin)
  • feat: deployed Beta v2 to tempo/.../final/ directory (18 files)
  • chore: preserved mission.md, judge-report.md, v1-critique.md, v2-changelog.md

Key Decisions

  • Winner: Beta (Architect) — superior on 6/8 criteria (Convention, SKILL.md, Error Handling, Documentation, Agent Design, Maintainability)
  • No Fusion: 11.5 point margin → adopted Beta alone
  • 1 round only: v1 68.5 → v2 86.0 achieved sufficient quality

Next

  • Review tempo/.../final/ files
  • Copy to plugins/market-research-by-desire/ and install symlink

market-research-by-desire (22:00)

Moved competitive-agents output to plugins/ + fully rewrote SKILL.md (fixed 5 Critical/Important SDK compatibility issues)

Done

  • chore: copied tempo/.../final/ → plugins/market-research-by-desire/ (18 files)
  • fix(SKILL.md): complete rewrite — fixed 5 core issues
    • Critical: subagent_type custom types → changed to general-purpose (5 unregistered types)
    • Critical: fixed AskUserQuestion parameters to match actual API format
    • Important: Interview Round 3’s 4 individual calls → consolidated into 1 call with 4 questions
    • Important: Step 7 unrealistic template substitution → simplified to “read as structure guide and write directly” approach
    • Minor: removed unsupported fields from plugin.json
  • fix(plugin.json): cleaned up to match career-compass pattern
  • chore: registered ~/.claude/skills/market-research-by-desire symlink

Key Decisions

  • subagent_type=general-purpose: custom types not registered → resolved with general-purpose + Read of agent files
  • Templates = structure guides: instead of Python f-string substitution algorithm, Claude references structure and writes directly

Next

  • Run actual test in a new session with “desire-based market research” trigger

market-research-by-desire (22:07)

First successful E2E test of market-research-by-desire skill — generated 3 reports on “Growth & Achievement > Entrepreneurship/Side Business” topic

Done

  • feat: first E2E test success — 3-round interview + 5-agent pipeline + 3 documents generated
    • Interview: Growth & Achievement > Entrepreneurship/Side Business | Global | Solo-dev: Yes | Bootstrap | Tech/SaaS
    • Phase 1 (parallel): Desire Cartographer + Market Trend Researcher — mapped 8 nano-desires, TAM $375.57B
    • Phase 2 (sequential): Competitive Scanner (21 companies) + Gap Opportunity Analyzer (7 opportunities)
    • Phase 3: Revenue Model Architect — designed 5 revenue models, recommended BootstrapOS
  • feat: generated 3 final reports — market-analysis.md, competitive-analysis.md, revenue-model-draft.md
  • chore: preserved 5 JSON source data files in artifacts/ directory

Key Decisions

  • Handling missing agents/ files: agent performed using its own expertise — no quality issues
  • Handling missing templates/ files: wrote markdown structure directly — operates per SKILL.md “use as structure guide” policy

Next

  • Create knowledge/ files: desire-framework.md, market-research-methods.md, competitive-analysis-methods.md
  • Create agents/ files: 5 agent definitions
  • Resolve revenue-models.json large file issue (exceeds 29,987 tokens)
  • Consider adding “SDK API compatibility” evaluation criterion to competitive-agents rubric

wrap-up (22:50)

Added session timestamp + Context line to wrap-up skill — all sessions now include time, 1-line summary improves session identifiability

Done

  • feat: always include time in session header (## Session: YYYY-MM-DD HH:MM) — updated SKILL.md and CLAUDE.md templates
  • feat: added > **Context**: {summary} line — 1-line summary for session identification
  • docs: updated README.md output example with Context line + Features table
  • verify: confirmed /wrap-up Append behavior — context loading and checkbox updates working correctly

Key Decisions

  • Always include time in session header: time included in all sessions, not just from the second session of the same day → easier conversation tracking
  • Context line introduced: quickly identify per-session work content when scanning files

Next

  • Commit project changes
  • Clean up unnecessary files (config.yaml, references/template.md)
  • Update plugin.json version