Agent Skill to Ralphinho Rfc Pipeline
Agent Skill to Ralphinho Rfc Pipeline is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Fullstack & Backend Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 459 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- name: ralphinho-rfc-pipeline description: Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units. metadata: origin: ECC --- # Ralphinho RFC Pipeline Inspired by [humanplane](https://github.com/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 1. RFC intake 2. DAG decomposition 3. Unit assignment 4. Unit implementation 5. Unit validation 6. Merge queue and integration 7. Final system verification ## Unit Spec Template Each work unit should include: - `id` - `depends_on` - `scope` - `acceptance_tests` - `risk_level` - `rollback_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 1. research 2. implementation plan 3. implementation 4. tests 5. review 6. 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
How to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Ralphinho Rfc Pipeline?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Ralphinho Rfc Pipeline is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Ralphinho Rfc Pipeline free?
Yes. Agent Skill to Ralphinho Rfc Pipeline is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Ralphinho Rfc Pipeline need?
Agent Skill to Ralphinho Rfc Pipeline is a static blueprint with no dynamic variables. Copy it and use it as-is.