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Review Pr Holistic

Community
doodledood
review-pr-holistic

Called by review-pr after its reviewer fleet and judgment pass return: consolidates their findings against the PR's history into the set of comments worth posting — pruning what the PR already covers, merging duplicates, subordinating defects under premise questions, bounding to the reviewed range, and rewriting every body in the caller's voice. Not for direct use.

Overview

Publisherdoodledood
Repositorymanifest-dev
Skill namereview-pr-holistic
Stars
77
Forks
10
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 doodledood on GitHub. Read the source before you install it.

Installation

Install the Review Pr Holistic 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/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev-tools/skills/review-pr-holistic
  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/doodledood/manifest-dev.git /tmp/manifest-dev
mkdir -p .claude/skills
cp -r /tmp/manifest-dev/claude-plugins/manifest-dev-tools/skills/review-pr-holistic .claude/skills/review-pr-holistic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Pr Holistic 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 Review Pr Holistic 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 Review Pr Holistic 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.

review-pr-holistic

Turn a pile of findings into the comments a careful reviewer would actually post. This skill edits and consolidates; it generates nothing new and posts nothing itself.

Receives. Fleet findings — severity-graded defect findings from the reviewer dimensions, with dimension and severity retained, Low findings filtered by the caller except those from defect-class — and judgment findings — a distinct non-severity class, each { trigger, concrete evidence, author-facing question }, already synthesized to one question per root; the PR history (all comments and threads on the PR, including ours from any prior pass, the author's recent commit messages on the branch, the PR description); bundle context for each linked PR (diff, description, top-level conversation — no inline review comments from linked PRs); the manifest if present; the reviewed range for this invocation — the code the fleet's defect findings are bounded to; the caller's voice profile — its rules for how a posted comment reads; and any truncation the caller did, to carry forward.

Does, in this order:

  • Prunes duplicate concerns already covered by existing threads, findings refuted by evidence, and defect findings whose entire objection is to an explicit intentional requirement. A stated intention establishes scope; evidence establishes behavior. Retain a premise question unless the PR already answers that specific concern. An author's claim alone does not refute a demonstrated failure.
  • Dedupes across reviewers: merge near-duplicates into one comment when they raise the same underlying concern.
  • Premise-subsumption. When a judgment finding questions the necessity or existence of a surface, subordinate the fleet's findings on that same surface under the premise question — drop the low-value ones, and fold any that survive beneath it ("if you keep X: also a, b") rather than listing them as independent peers. Retain a defect-class finding, including Low, when its remediation obligation remains unmet; a non-blocking premise question cannot discharge it. Never hard-delete a severe independent defect: the judgment finding is non-blocking, so a defect that matters even if the surface stays is still surfaced on its own.
  • Bounds surfaced defect findings to issues introduced or exposed by the reviewed range, unless the range is the full PR diff — which covers a first review and a repeat review of an unchanged head alike. This keys on the range, never on whether we have reviewed before: bounding a repeat pass to the delta since our last review would have it read the whole PR and then surface nothing. A repair in the reviewed range exposes its enabling boundary and affected sites even when their lines are unchanged; an unrelated later delta does not reopen the old repair. Judgment findings are exempt: they are whole-PR by construction.
  • Anchors each surviving finding to exactly one of inline file:line (default), file-level (a whole-file concern), or PR-level (cross-cutting, no specific anchor).
  • Rewrites every comment body and any drafted reply in the supplied voice profile.
  • Omits a summary header by default — adds one only when there is a real overall take the per-comment list misses (one short sentence, voice-compliant, no boilerplate).

Returns. The comments to post (anchor plus voice-compliant body), the summary header text if any, truncation notes, and a brief dropped-findings tally with the dominant reasons.

Frequently asked questions

What does the Review Pr Holistic AI skill do?

Called by review-pr after its reviewer fleet and judgment pass return: consolidates their findings against the PR's history into the set of comments worth posting — pruning what the PR already covers, merging duplicates, subordinating defects under premise questions, bounding to the reviewed range, and rewriting every body in the caller's voice. Not for direct use.

Why use Review Pr Holistic on TypingMind?

Because you install it once and use it with any model. Review Pr Holistic 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 Review Pr Holistic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev-tools/skills/review-pr-holistic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Pr Holistic?

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 Review Pr Holistic?

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

Is the Review Pr Holistic AI skill free?

Yes. It is published on GitHub by doodledood 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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