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Agent skill

Ralphinho Rfc Pipeline

by affaan-m in affaan-m/ECC

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…

MITAuto-check passedTesting & QA

Install Ralphinho Rfc Pipeline

skills CLI
$ npx skills add affaan-m/ECC --skill ralphinho-rfc-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC ralphinho-rfc-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ralphinho-rfc-pipeline .claude/skills/ralphinho-rfc-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ralphinho-rfc-pipeline
GitHub stars
277k
Used in
4 other repos
Token cost
~459 tokens
SKILL.md length
173 words
Files
1
Skills in repo
683
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 7 steps: RFC intake → DAG decomposition → Unit assignment → …
  • A feature is too large for a single agent pass
  • SKILL.md covers Pipeline Stages, Unit Spec Template, Complexity Tiers and Quality Pipeline per Unit, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ralphinho Rfc Pipeline is an agent skill from affaan-m/ECC. 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.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering End-to-end testing. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

  • A feature is too large for a single agent pass
  • Orchestrating RFC-driven multi-agent execution
  • Managing merge queues across agent-built units

Example prompts

  • “/ralphinho-rfc-pipeline”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. RFC intake
  2. DAG decomposition
  3. Unit assignment
  4. Unit implementation
  5. Unit validation
  6. Merge queue and integration
  7. Final system verification

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ralphinho Rfc Pipeline loads about 459 tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 173 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~459

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 173 words, ~459 tokens.

Download SKILL.mdSave it as .claude/skills/ralphinho-rfc-pipeline/SKILL.md (or your agent's skills folder).
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 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

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ralphinho-rfc-pipeline of affaan-m/ECC.

Open the folder on GitHubat commit 2d515e4

Used in 4 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ralphinho Rfc Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ralphinho Rfc Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ralphinho Rfc Pipeline this skillaffaan-m/ECC277k4 repos~459Automated safety check: PassMIT
OpenHarness End-to-End EvalsHKUDS/OpenHarness16k1 repos~2.1kAutomated safety check: NotesMIT
Acceptance Evidence for Deliverieslobehub/lobehub83k—~9.7kAutomated safety check: PassApache-2.0
Qwen Code E2E TestingQwenLM/qwen-code28k—~2.1kAutomated safety check: PassApache-2.0
Drive MiMo CodeXiaomiMiMo/MiMo-Code14k—~3.9kAutomated safety check: PassMIT
Senpi Agent QA Harnesscode-yeongyu/senpi474—~2.7kAutomated safety check: NotesMIT

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Categories

Questions about Ralphinho Rfc Pipeline

What does Ralphinho Rfc Pipeline do?

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…. Ralphinho Rfc Pipeline is an agent skill from affaan-m/ECC. 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.

When should I use Ralphinho Rfc Pipeline?

Ralphinho Rfc Pipeline fits situations like: A feature is too large for a single agent pass; orchestrating RFC-driven multi-agent execution; managing merge queues across agent-built units.

How do I install Ralphinho Rfc Pipeline in Claude Code?

Run `npx skills add affaan-m/ECC --skill ralphinho-rfc-pipeline -a claude-code`. Or copy the skill folder (skills/ralphinho-rfc-pipeline in affaan-m/ECC) into .claude/skills/ralphinho-rfc-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Ralphinho Rfc Pipeline in Codex?

Run `npx skills add affaan-m/ECC --skill ralphinho-rfc-pipeline -a codex`. Or copy the skill folder (skills/ralphinho-rfc-pipeline in affaan-m/ECC) into .agents/skills/ralphinho-rfc-pipeline in your project. Codex loads it when a task matches its description.

Can I use Ralphinho Rfc Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill ralphinho-rfc-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralphinho-rfc-pipeline, .gemini/skills/ralphinho-rfc-pipeline, .github/skills/ralphinho-rfc-pipeline and .opencode/skills/ralphinho-rfc-pipeline in your project.

What does Ralphinho Rfc Pipeline need to run?

SKILL.md names no scripts, command-line tools or credentials: Ralphinho Rfc Pipeline is instructions for the agent only.

Does Ralphinho Rfc Pipeline access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Ralphinho Rfc Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ralphinho Rfc Pipeline use?

Ralphinho Rfc Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ralphinho Rfc Pipeline use?

About 459 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ralphinho Rfc Pipeline?

Skills that share tags, products or a category with Ralphinho Rfc Pipeline: OpenHarness End-to-End Evals (HKUDS/OpenHarness, 16k stars), Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars), Qwen Code E2E Testing (QwenLM/qwen-code, 28k stars) and Drive MiMo Code (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ralphinho Rfc Pipeline?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.