Current State, Next Steps, and Active Priorities
Last Updated: November 15, 2025 | Version: 2.6.0 → 3.0
Version: 2.6.0 (Released) Branch: dev (up to date) Quality: 9.7/10 (EXCEPTIONAL)
Components:
- ✅ 141 agents (8 core + 133 subagents)
- ✅ 8 skills (autonomous helpers)
- ✅ 4 commands (workflow orchestration)
- ✅ 12 standards (style guides + templates)
- ✅ 7 prompts (guided templates)
- ✅ 12 examples (workflow demonstrations)
Documentation:
- ✅ 2 consolidated guides (AGENT-LIBRARY-GUIDE, TECHNICAL-REFERENCE)
- ✅ 1 collaboration guide (CROSS-TEAM-COLLABORATION)
- ✅ 18 files archived (migration/validation history)
v2.5.0 Released:
- Migrated 133 agents to organized structure
- Created 10 color-coded categories
- Established 40+ subcategories
- Achieved 7.1/10 quality
v2.6.0 Released (same day!):
- Improved quality to 9.7/10 (+36.6%)
- Restructured design category (4.0 → 8.0/10)
- Added 12 usage examples
- Enhanced 18 agents total
- Created cross-team collaboration guide
Documentation Consolidation:
- Reduced 21 files → 3 guides + archive
- Created memory bank (this file!)
- Streamlined navigation
Task: Create ecosystem transformation roadmap Status: ✅ Roadmap created (ECOSYSTEM-ROADMAP.md) Next: Begin Phase 1 implementation
P0 - This Week:
- Fix installer metadata issues (agent.json vs YAML)
- Generate machine-readable indexes (agents.json, skills.json, etc.)
- Create /discover-agent wizard
- Create performance-monitor skill
P1 - Next 2 Weeks: 5. Create /audit command 6. Create /deploy command 7. Add 7 more skills 8. Create ADR template
Issue 1: Installer Metadata Mismatch
- Problem: scripts/install.sh expects agent.json files
- Reality: We have YAML frontmatter in agent.md
- Impact: Installation may not work correctly
- Fix: Update installer to parse YAML OR generate agent.json
- Priority: P0 - CRITICAL
- ETA: Week 1, Day 2
Issue 2: Missing Machine-Readable Indexes
- Problem: No JSON/YAML indexes for tooling
- Impact: Can't build CLI, search, or automation tools
- Fix: Generate indexes from current structure
- Priority: P0 - CRITICAL
- ETA: Week 1, Day 1
Issue 3: Documentation Inconsistencies
- Problem: commands/README.md lists non-existent commands
- Impact: User confusion
- Fix: Update README or implement commands
- Priority: P1 - HIGH
- ETA: Week 1, Day 3
Issue 4: Discovery Problem
- Problem: 141 agents overwhelming for new users
- Impact: Reduced adoption, frustration
- Fix: /discover-agent wizard
- Priority: P1 - HIGH
- ETA: Week 1, Days 3-4
Day 1 (8 hours):
- Create projectbrief.md
- Create productContext.md
- Create activeContext.md (this file)
- Generate indexes/agents.json
- Generate indexes/skills.json
- Generate indexes/commands.json
Day 2 (6 hours):
- Fix scripts/install.sh to read YAML
- Test installer on clean system
- Update installation documentation
Day 3 (8 hours):
- Fix commands/README.md inconsistencies
- Start /discover-agent command
- Design wizard flow
Day 4 (8 hours):
- Complete /discover-agent
- Test recommendation accuracy
- Create /audit command structure
Day 5 (8 hours):
- Start performance-monitor skill
- Implement detection logic
- Test and validate
- Complete performance-monitor skill
- Create accessibility-checker skill
- Create docker-validator skill
- Create env-validator skill
- Complete /audit command
- Test all new components
- Create /deploy command
- Start /migrate command
- Create /enforce-standard command
- Add 4 more skills
- Complete all Phase 1 tasks
- Add ADR template
- Create 5 new standards
- Validation and testing
- Documentation updates
- ✅ Full agent migration (v2.5.0)
- ✅ Quality improvements (v2.6.0)
- ✅ Documentation consolidation
- ✅ Comprehensive roadmap creation
- ✅ Memory bank establishment
Immediate Priority: Fix installer metadata (P0)
- This blocks everything else
- Must work before we can add new skills/commands reliably
Then: Build discovery system
- /discover-agent wizard
- Solves 141-agent overwhelm
- Enables adoption
Then: High-impact features
- performance-monitor skill
- /audit command
- /deploy command
Planning:
docs/ECOSYSTEM-ROADMAP.md- Complete 16-week plandocs/PHASE-1-TASKS.md- Detailed Week 1-4 tasks.cursor/plans/tres-2279f097.plan.md- Original insights
Current State:
projectbrief.md- Vision and taxonomyproductContext.md- Tech stack and decisionsactiveContext.md- This file!
Implementation:
docs/TECHNICAL-REFERENCE.md- How to build componentsdocs/AGENT-LIBRARY-GUIDE.md- What exists currently
Velocity:
- Tasks completed per week
- Hours invested
- Components added
Quality:
- Agent quality scores
- Validation pass rates
- Test coverage
Usage:
- Agent invocations
- Command executions
- Skill activations
Discovery:
- Time to find right agent
- Discovery wizard usage
- Recommendation accuracy
Productivity:
- Time saved per workflow
- Tasks automated
- Manual work eliminated
Quality:
- Bugs prevented (security, performance, config)
- Standard compliance
- Test coverage improvements
D1: Installer Approach (Week 1, Day 2)
- Option A: Generate agent.json from YAML
- Option B: Update installer to read YAML
- Recommendation: Option B (simpler long-term)
- Decision Maker: Alireza Rezvani
D2: CLI Tool Technology (Week 5)
- Option A: Node.js (matches ecosystem)
- Option B: Python (existing validation scripts)
- Option C: Rust (performance)
- Recommendation: Node.js (consistency)
D3: Marketplace Hosting (Week 14)
- Option A: GitHub-based (simple)
- Option B: Custom website (flexible)
- Option C: NPM-like registry (standard)
- Recommendation: TBD based on community feedback
Experiment 1: Agent Discovery Accuracy
- Hypothesis: Interactive wizard achieves 90%+ recommendation accuracy
- Measurement: User selects recommended agent vs searches manually
- Timeline: Week 1-2
- Success Criteria: 90% satisfaction with recommendations
Experiment 2: Skills Adoption
- Hypothesis: New skills (performance-monitor, accessibility-checker) activate 10x/day
- Measurement: Activation count, user feedback
- Timeline: Week 2-4
- Success Criteria: >5 activations/day with positive feedback
Current Blockers: None
Dependencies:
- Installer fix → Enables testing new skills/commands
- Machine-readable indexes → Enables CLI and tooling
- /discover-agent → Enables user adoption of ecosystem
Risk Mitigation:
- Address P0 issues first (installer, indexes)
- Incremental development and testing
- Continuous validation
activeContext.md: Updated after every major task completion productContext.md: Updated when architectural decisions made projectbrief.md: Updated quarterly or on major milestones
- 2025-11-15: Created memory bank, ecosystem roadmap, Phase 1 tasks
- 2025-11-15: Released v2.6.0 with quality improvements
- 2025-11-15: Released v2.5.0 with 141 agents
Remember:
- Always update activeContext.md when completing tasks
- Check blockers before starting new work
- Prioritize P0 items
- Test thoroughly before committing
- Document decisions in productContext.md
Quick Reference:
- Current version: 2.6.0
- Next version: 3.0 (ecosystem transformation)
- Timeline: 16 weeks starting now
- First milestone: Week 4 (Phase 1 complete)
Status: Ready for Phase 1 Execution Next Action: Fix installer metadata (Task 1.2) Owner: Alireza Rezvani