ralphinho-rfc-pipeline
Multi-agent DAG execution framework for decomposing large features into independently verifiable work units with quality gates.
Works with
0
total installs
0
this week
142.9K
GitHub stars
0
upvotes
Install Skill
Run in your terminal
0
installs
0
this week
142.9K
stars
What it does
Structures complex features as directed acyclic graphs with explicit dependencies, complexity tiers (isolated edits to schema/security changes), and per-unit acceptance criteria
Enforces a seven-stage pipeline: RFC intake, DAG decomposition, unit assignment, implementation, validation, merge queue processing, and final system verification
Implements merge qu
Installation Guide
How to use ralphinho-rfc-pipeline on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
ralphinho-rfc-pipeline
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches ralphinho-rfc-pipeline from affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ralphinho-rfc-pipeline. Access via /ralphinho-rfc-pipeline in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Ralphinho RFC Pipeline
Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.
Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.
Pipeline Stages
- RFC intake
- DAG decomposition
- Unit assignment
- Unit implementation
- Unit validation
- Merge queue and integration
- Final system verification
Unit Spec Template
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_plan
Complexity Tiers
- Tier 1: isolated file edits, deterministic tests
- Tier 2: multi-file behavior changes, moderate integration risk
- Tier 3: schema/auth/perf/security changes
Quality Pipeline per Unit
- research
- implementation plan
- implementation
- tests
- review
- merge-ready report
Merge Queue Rules
- Never merge a unit with unresolved dependency failures.
- Always rebase unit branches on latest integration branch.
- Re-run integration tests after each queued merge.
Recovery
If a unit stalls:
- evict from active queue
- snapshot findings
- regenerate narrowed unit scope
- retry with updated constraints
Outputs
- RFC execution log
- unit scorecards
- dependency graph snapshot
- integration risk summary
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Related Skills
grill-me
389mattpocock/skills
premortem
197parcadei/continuous-claude-v3
deslop
118cursor/plugins
framer-motion
99pproenca/dot-skills
write-a-prd
91mattpocock/skills
travel-planner
90ailabs-393/ai-labs-claude-skills
Reviews
- SSofia Zhang★★★★★Dec 28, 2024
I recommend ralphinho-rfc-pipeline for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- PPratham Ware★★★★★Dec 20, 2024
ralphinho-rfc-pipeline has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AArya Malhotra★★★★★Dec 12, 2024
Keeps context tight: ralphinho-rfc-pipeline is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AArjun Patel★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: ralphinho-rfc-pipeline is focused, and the summary matches what you get after install.
- AArya Patel★★★★★Nov 23, 2024
ralphinho-rfc-pipeline has been reliable in day-to-day use. Documentation quality is above average for community skills.
- WWilliam Bansal★★★★★Nov 19, 2024
ralphinho-rfc-pipeline fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- HHassan Liu★★★★★Nov 15, 2024
Useful defaults in ralphinho-rfc-pipeline — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- YYash Thakker★★★★★Nov 11, 2024
Solid pick for teams standardizing on skills: ralphinho-rfc-pipeline is focused, and the summary matches what you get after install.
- AArjun Srinivasan★★★★★Nov 3, 2024
We added ralphinho-rfc-pipeline from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AArjun Rao★★★★★Oct 22, 2024
Solid pick for teams standardizing on skills: ralphinho-rfc-pipeline is focused, and the summary matches what you get after install.
showing 1-10 of 34
Discussion
Comments — not star reviews- No comments yet — start the thread.