r2r-workflow
Explain the Research-to-Roadmap (r2r) workflow visually. Shows the 6-phase pipeline JD built for transforming R&D projects into production roadmaps.
Best use case
r2r-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Explain the Research-to-Roadmap (r2r) workflow visually. Shows the 6-phase pipeline JD built for transforming R&D projects into production roadmaps.
Teams using r2r-workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/r2r-workflow/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How r2r-workflow Compares
| Feature / Agent | r2r-workflow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Explain the Research-to-Roadmap (r2r) workflow visually. Shows the 6-phase pipeline JD built for transforming R&D projects into production roadmaps.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# R2R Workflow Explanation
When triggered, display this workflow explanation:
---
## Research to Roadmap (r2r)
A Claude Code plugin I built overnight to transform R&D projects, POCs, and lab experiments into production-ready roadmaps.
### The Pipeline
```
┌─────────┐ ┌───────────┐ ┌────────────┐ ┌─────────┐ ┌──────────┐ ┌────────┐
│ ASSESS │ → │ DECOMPOSE │ → │ PRIORITIZE │ → │ ROADMAP │ → │ VALIDATE │ → │ EXPORT │
└─────────┘ └───────────┘ └────────────┘ └─────────┘ └──────────┘ └────────┘
```
### What Each Phase Does
**1. ASSESS** `/r2r:assess`
- Analyzes research artifacts (POCs, spikes, ADRs)
- Determines what was actually proven vs assumed
- Gives a production readiness score (1-10)
- Identifies gaps and technical debt
**2. DECOMPOSE** `/r2r:decompose`
- Breaks research into shippable components
- Single-responsibility units
- T-shirt sizing (S/M/L/XL)
- Maps dependencies between components
**3. PRIORITIZE** `/r2r:prioritize`
- Effort vs impact scoring
- Assigns to horizons:
- H1 (0-3 months): Ship now
- H2 (3-6 months): Build next
- H3 (6-12 months): Explore later
- Identifies quick wins
**4. ROADMAP** `/r2r:roadmap`
- Generates milestone-based roadmap
- Creates Mermaid Gantt timeline
- Maps release phases (Internal → Private → Public → GA)
- Multiple stakeholder views (exec/eng/PM)
**5. VALIDATE** `/r2r:validate`
- Pre-mortem analysis ("The project failed because...")
- Assumption audit
- Dependency validation
- Kill criteria check
- Pass/Caution/Fail status
**6. EXPORT** `/r2r:export`
- GitHub Issues + Milestones
- Linear issues
- Markdown summary
- JSON for automation
### Why I Built This
Most R&D work dies in the gap between "cool demo" and "production system." This plugin creates a structured path across that gap, based on patterns from GitHub Next, Linear, Vercel, and Figma's labs.
### Try It
```bash
/r2r:full ./path/to/research
```
Or run `/r2r-demo` to see sample output.
---
Keep the response concise. Don't add extra commentary beyond the workflow explanation.Related Skills
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