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eslamnegm010/ai-dev-workflow

Claude Code skill: plan → implementer agent → quality gate → reviewer agent → merge, with golden tests…

Before you install: no copy-paste command · license MIT · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/eslamnegm010/ai-dev-workflow

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
  "mcpServers": {
    "eslamnegm010-ai-dev-workflow": {
      "command": "npx",
      "args": ["playwright"]
    }
  }
}

Parsed from the README we fetched on 2026-11-11; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
  "servers": {
    "eslamnegm010-ai-dev-workflow": {
      "command": "npx",
      "args": ["playwright"]
    }
  }
}
Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio eslamnegm010-ai-dev-workflow -- npx playwright
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
Star count
0 ★ · eslamnegm010/ai-dev-workflow · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-12 · last seen 2026-11-14 · seen 3× · listed by 1 sources
Score
score 103 · 1 sources · repo
Install
npx playwright
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: npx playwright. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository eslamnegm010/ai-dev-workflow;first catalogued 2026-11-12;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

A Claude Code skill that makes AI agents ship code the way a careful senior team

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

separate agent writes the code, a hard quality gate checks the whole repo, and a third agent, which never saw the
plan, reviews the pushed PR. Screens are checked pixel by pixel against the design with golden tests. Every step
is written down in the repo, so any new session can pick up exactly where the last one stopped.
sh
curl -fsSL https://raw.githubusercontent.com/eslamnegm010/ai-dev-workflow/main/install.sh | bash
Then open Claude Code in any repository and say "set up the AI dev workflow here".
Contents: Why · The loop · Roles · Quality gate ·
Golden tests · Reviews · Status files ·
Examples · Install · Use it · Optional modules
## Why
AI agents write a lot of code quickly. Without a process they also guess at missing specs, approve their own work,
"fix" failing tests by weakening them, drift from the design, and forget everything when the context is compacted.
| Problem | What the workflow does about it |
| The agent invents behaviour, copy or pixels | Translate, don't invent. Every gap is logged as a discrepancy with options and a recommendation. The owner decides product questions; small technical gaps are decided and marked "delegated" |
| The same agent writes and approves the code | Three separate roles: the planner, the implementer (a new instance for every task) and the reviewer (one per PR, reading only the pushed diff) |
| "All tests pass" when they don't | The main session re-runs the gate itself. The gate covers the whole repo before every push, PR and merge |
| Tests edited until they go green | Never edit a test just to make it pass. Key tests are mutation-checked: break the code, watch the test fail, restore |
| The UI drifts from the design | Golden tests against captured design references, in every theme and language, with diff images and similarity scores |
| A new session doesn't know where things stand | Living status files: a progress log, a RESUME HERE line and every standing rule, in the repo |
| Endless fix rounds | Take over after the second failed round. Another round means the hand-off failed |
## The loop
Every substantive task runs these six steps. Small or mechanical tasks (docs, copy, config, renames) skip the agents:
the main session makes the change, runs the gate and self-reviews against the Definition of Done. The process
scales with the task.
Around the loop, the skill ships the whole method: stages with exit gates (alignment → foundation → design system
→ feature loop → hardening → release), a precedence table for sources of truth, Definition of Ready and Done, PR
sizing (≤ ~800 lines, stacked slices), a pre-push checklist, and change management for a new design export, rule
changes, copy and architecture.
## Roles you choose once
The skill asks once per repo, then writes the answer in two places: a dated Roles table in CLAUDE.md, and the
model: line of each agent file. Every later session follows it. A change of mind adds a new dated row, so the
history stays visible.
implementer: a fresh instance for every task. It builds exactly the plan, writes the tests, mutation-checks
the ★ tests, passes the gate and commits locally. It never pushes.
reviewer: one instance per PR, reused for that PR's rounds and replaced for the next PR, so it carries no
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/eslamnegm010-ai-dev-workflow/)
Source
github · https://github.com/eslamnegm010/ai-dev-workflow
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