# Regen Registry Review Project Manager
A comprehensive project management skill for coordinating development of the Regen Registry Review MCP automation tooling.
## Purpose
This skill embodies the complete project context and serves as the Project Manager for building AI-powered registry review automation. It helps with:
- **Requirements gathering** - Defining what needs to be built
- **Roadmap planning** - Organizing work into phases and milestones
- **Architecture review** - Evaluating technical decisions
- **Implementation tracking** - Monitoring progress and blockers
- **Team coordination** - Managing parallel workstreams
- **Quality assurance** - Ensuring standards are met
- **Delivery management** - Shipping on time with quality
## When to Use
Invoke this skill when you need to:
- Plan features or define requirements
- Create or update development roadmaps
- Review technical architecture or design decisions
- Track implementation status or identify blockers
- Coordinate multiple workstreams or team efforts
- Manage delivery timelines and milestones
- Make strategic project decisions
Natural language triggers include:
- "Let's plan the roadmap"
- "Define requirements for..."
- "Review this architecture"
- "What's our implementation status?"
- "How should we organize the work?"
- "Are we on track for delivery?"
## Project Context
This skill has deep knowledge of:
1. **Vision & Requirements** - From transcripts of meetings Sept-Nov 2025
2. **Technical Specs** - Architecture, MVP workflow, infrastructure plans
3. **Real Examples** - Botany Farm 2022-23 review data showing actual usage
4. **Success Criteria** - 50-70% time savings, <10% escalation rate, 100+ projects/year
The core goal: Help Becca review projects faster by automating tedious tasks (document discovery, requirement mapping, evidence extraction) while preserving human judgment for final approval.
## Templates
The skill provides templates for common PM artifacts:
- **requirement-template.md** - For defining new features/requirements
- **roadmap-template.md** - For planning development phases
- **architecture-decision-record.md** - For documenting design decisions
- **status-update-template.md** - For progress reporting
- **user-story-template.md** - For feature stories with acceptance criteria
## Scripts
Helper scripts for quick insights:
- **check-progress.sh** - Quick project status snapshot (git, todos, structure)
## Key Documents
The skill knows to reference:
| Document | Purpose |
|----------|---------|
| `docs/transcripts/2025-11-11-transcript-synthesis.md` | Complete vision |
| `docs/specs/2025-11-11-registry-review-mvp-workflow.md` | 8 MVP user stories |
| `docs/specs/2025-10-30-regen-knowledge-commons-registry-review-agent-infrastructure.md` | Architecture |
| `examples/22-23/` | Real review data (Botany Farm) |
## How It Works
The skill follows a structured approach:
1. **Context Review** - Checks current project state (git status, recent commits, structure)
2. **Domain Expertise** - References specs, transcripts, examples as needed
3. **Structured Output** - Uses templates to create consistent artifacts
4. **Decision Framework** - Prioritizes user value, MVP focus, technical soundness
5. **Risk Management** - Identifies and escalates red flags
6. **Team Coordination** - Can launch sub-agents for parallel work
## Example Workflows
### Planning a Feature
```
User: "Let's plan the document discovery feature"
Skill:
1. Reads MVP workflow spec for Story 2
2. Examines Botany Farm example documents
3. Creates user story with acceptance criteria
4. Identifies technical tasks and dependencies
5. Estimates effort and suggests priority
```
### Reviewing Progress
```
User: "What's our implementation status?"
Skill:
1. Runs check-progress.sh script
2. Reviews recent commits and changes
3. Compares against roadmap milestones
4. Identifies any blockers or risks
5. Generates status update using template
```
### Making Architecture Decision
```
User: "Should we use PostgreSQL or MongoDB?"
Skill:
1. Reviews data model requirements from specs
2. Considers KOI integration needs
3. Evaluates trade-offs (querying, scaling, complexity)
4. References similar decisions in architecture doc
5. Creates ADR documenting choice and rationale
```
## Success Metrics
The skill helps track:
- **Velocity** - Stories completed per sprint
- **Quality** - Test coverage, defect rates
- **Impact** - Time saved per review (target: 50-70%)
- **Adoption** - % of reviews using automation
- **Satisfaction** - User feedback scores
## Integration
This skill can:
- Use other skills (marker for PDF conversion, mcp-architect for MCP development, skill-builder for creating new skills)
- Invoke slash commands (/prime/examples to load Botany Farm docs, /development/initialize to start dev sessions)
- Launch Task sub-agents for complex parallel work
- Read/Write files for documentation
- Run scripts for status checks
- Access markdown versions of all example PDFs (already converted via marker skill)
## Principles
Guided by these values:
1. **User value first** - Does this help Becca?
2. **MVP focus** - Ship core capability, enhance later
3. **Technical soundness** - Maintainable, scalable, secure
4. **Risk awareness** - Identify and mitigate proactively
5. **Team capacity** - Don't over-commit
6. **Documentation** - Future clarity through written decisions
## Updates
This skill stays current by:
- Reading project files directly (always fresh)
- Using git commands to see recent changes
- Referencing canonical specs and examples
- Tracking decisions in ADRs
- Maintaining roadmap with status
## Contributing
When enhancing this skill:
1. Keep SKILL.md focused on instructions
2. Add new templates to `templates/`
3. Add new scripts to `scripts/`
4. Update README.md with changes
5. Test with realistic project scenarios
## Support
For questions or issues with this skill:
- Check `SKILL.md` for detailed instructions
- Review templates for structure examples
- Examine example workflows
- Test with actual project context
---
**Version**: 1.0
**Last Updated**: 2025-11-12
**Owner**: Regen Registry Review MCP Project Team
