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Merge Ready

OrganizationPopular
every-app
merge-ready

Take a branch from "code exists (or is about to)" to "ready for the maintainer's final review" — multi-axis subagent review with verified findings, fixes, ci:check, checkpoint commits, and an updated PR. Use whenever the user says a feature/fix/branch should be "merge ready", asks to get changes ready for review, or appends this to a build request ("build X and make it merge-ready").

Overview

Publisherevery-app
Repositoryopen-seo
Skill namemerge-ready
Stars
22K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by every-app on GitHub. Read the source before you install it.

Installation

Install the Merge Ready AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/every-app/open-seo/tree/main/.agents/skills/merge-ready
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/every-app/open-seo.git /tmp/open-seo
mkdir -p .claude/skills
cp -r /tmp/open-seo/.agents/skills/merge-ready .claude/skills/merge-ready
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Merge Ready in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Merge Ready on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Merge Ready is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Merge ready

Drive the current work to the point where the only remaining step is the maintainer's own review and merge. The deliverable is a pushed branch with a clean pnpm ci:check, checkpoint commits along the way, and an open PR with a high-level description plus review instructions.

Never merge the PR. The maintainer always reviews last.

0. Figure out the starting point

This skill composes with feature work — it is not only a review pass:

  • Invoked alongside a build request ("build X, make it merge-ready"): implement the feature/fix first, committing as you go, then continue below. The review phases cover all changes on the branch vs origin/main, not just the last edit.
  • Invoked on existing work ("make this branch merge-ready"): start directly at step 1. The scope is git diff origin/main...HEAD plus anything uncommitted.

1. Sync with main

  • git fetch origin main. If the branch is behind, merge origin/main in and resolve conflicts (favor main's version for code this branch didn't intentionally change).
  • Checkpoint: commit the merge before starting review, so conflict resolution is auditable separately from review fixes.

2. Multi-axis subagent review

Spawn independent review subagents in parallel, one per axis, each given repo access, docs/maintainers/review-guidelines.md as required reading (hard invariants plus the false-positive controls for deployment modes, fixtures, and generated files), and the complete branch scope:

  • committed changes: git diff origin/main...HEAD
  • staged changes: git diff --cached
  • unstaged changes: git diff
  • untracked files: git status --short, followed by reading every in-scope untracked file

Do not let an uncommitted or newly created file escape review merely because it is absent from origin/main...HEAD.

  1. Unnecessary complexity — thin wrappers, needless indirection, single-use abstractions, defensive guards for impossible states, dead config. This codebase deliberately stays simple.
  2. Security — authz on new endpoints (org/project scoping), SSRF, injection, secrets handling, anything user-input-shaped reaching D1/R2/external APIs.
  3. Billing & metering — ways a user could trigger DataForSEO/provider spend without being metered, charged-but-failed paths, retry/loop amplification, endpoints with unexpectedly high per-call user cost. Credits are billed via Autumn; uncounted spend is a revenue leak.
  4. Library & project idioms — TanStack (Router/Query/Start) used idiomatically; patterns match how the rest of the codebase already does it (shared application/provider error boundaries, db/schema conventions, existing component patterns). Flag novel patterns where an established one exists.
  5. Vibe-coded cruft — leftover scaffolding, stale comments narrating the edit history, console.logs, TODO-without-owner, copy-pasted near-duplicates, files/exports nothing uses.

Each reviewer returns findings with file:line, severity (blocker / should-fix / nitpick), and a one-line rationale. Tell reviewers explicitly: this is an early-stage product — do not chase theoretical edge cases; mark anything debatable as nitpick.

3. Verify findings — never blindly accept

For each blocker and should-fix finding, spawn verification subagents (in parallel) that adversarially check the finding against the actual code and verdict APPLY / APPLY-MODIFIED / REJECT with reasoning. Drop rejected findings. Nitpicks don't need verification — they're reported, not necessarily fixed.

Preserve review learnings

After verification, route durable learnings without forcing every review to change policy:

  • If an APPLY or APPLY-MODIFIED finding reveals a recurring or high-risk repository invariant that docs/maintainers/review-guidelines.md and CI do not capture, add a short paragraph there. A finding is evidence to evaluate, not automatically a rule.
  • Keep one-off bugs as code fixes and regression tests. Put deterministic mechanical checks in CI or lint instead of review prose.
  • When a small tooling, documentation, or workflow frustration occurs, use papercuts to append it to .agents/PAPERCUTS.md; do not derail merge-ready work to fix it.

4. Fix, check, loop

  • Apply verified blocker/should-fix fixes. Apply nitpicks only when trivial and clearly right; otherwise list them in the PR for the maintainer to judge.
  • Checkpoint: commit fixes in logical groups (e.g. one commit per axis or per concern) so the fix history is reviewable on its own.
  • Run pnpm ci:check (prettier, knip, tsc, oxlint). Fix failures and re-run until clean. If a fix was substantial (not formatting/lint), run a quick re-review of just that change.
  • Loop until ci:check passes and no verified findings remain unaddressed.

5. Push and open/update the PR

  • Push the branch. Open a PR against main if one doesn't exist; otherwise update the existing PR's description.
  • PR description requirements:
    • High-level — what changed and why, written for a human skimming. No file paths, no per-file changelog.
    • How to review — a short ordered guide: what to look at first, what the risky/judgment-call areas are, what was deliberately left out of scope.
    • Review notes — unfixed nitpicks and any REJECT verdicts worth a second opinion, clearly labeled as such.
  • Report back: PR link, one-paragraph summary, and anything that still needs the maintainer's judgment. Do not merge.

Frequently asked questions

What does the Merge Ready AI skill do?

Take a branch from "code exists (or is about to)" to "ready for the maintainer's final review" — multi-axis subagent review with verified findings, fixes, ci:check, checkpoint commits, and an updated PR. Use whenever the user says a feature/fix/branch should be "merge ready", asks to get changes ready for review, or appends this to a build request ("build X and make it merge-ready").

Why use Merge Ready on TypingMind?

Because you install it once and use it with any model. Merge Ready is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Merge Ready in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/every-app/open-seo/tree/main/.agents/skills/merge-ready. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Merge Ready?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Merge Ready?

As many as you like. As long as a model supports skills, you can use Merge Ready with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Merge Ready AI skill free?

Yes. It is published on GitHub by every-app under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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