Review Triage Phase

OrganizationPopular

prisma

review-triage-phase

Produces canonical review actions from fetched review state and renders action markdown. Use when the user wants only triage/action-planning for the review-framework workflow.

Overview

Publisher	prisma
Repository	`orm`
Skill name	`review-triage-phase`
Stars	47.6K
Forks	2.5K
Bundled files	7
License	Apache-2.0
Links	Skill source Repository Homepage

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.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by prisma on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/prisma/orm.git /tmp/orm
mkdir -p .claude/skills
cp -r /tmp/orm/skills-contrib/review-triage-phase .claude/skills/review-triage-phase

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Triage Phase 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 Triage Phase 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 Triage Phase 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 Triage Phase

Run only the triage phase of the review-framework loop:

read current review state artifacts, bootstrap canonical review-actions.json, update triage fields, validate, then render review-actions.md.

Run commands from this skill directory. All script paths below are relative to it.

Inputs

Required:
- PR URL
Optional:
- output directory

If output directory is omitted, derive:

wip/reviews/<owner>_<repo>_pr-<number>/

Preconditions

Expected inputs in output dir:

<output-dir>/review-state.json
<output-dir>/review-targets.json (optional)
<output-dir>/review-state.md (optional)
<output-dir>/summary.txt (optional)

If review-state.json is missing, instruct user to run:

/review-fetch-phase <PR_URL> [output-dir]

Note:

review-actions.json scaffolding is generated from review-state.targets, taking the thread and review-body targets. Issue-comment targets are captured in review-state.json but get no scaffolded action.
Compound review bodies: A single pull_request_review target may contain multiple distinct findings (e.g., CodeRabbit bundles "outside diff range" comments, actionable comments, and nitpicks into one review body). The triager must decompose these into individual action items during triage — never blanket-dismiss a review body without reading its content.

Behavior

Compute deterministic paths:
- <output-dir>/review-state.json
- <output-dir>/review-actions.json
- <output-dir>/review-actions.md
Enforce artifact safety before generation (the artifacts must stay untracked). In a git checkout the guard asks git directly; in a Jujutsu workspace with no git directory it accepts a directory under the workspace root's ignored wip/ tree:

bash
node ../review-fetch-phase/scripts/guard-review-artifacts-ignored.mjs --dir <output-dir>

Bootstrap canonical action scaffold from review state:

bash
node ./scripts/bootstrap-review-actions.mjs --in <output-dir>/review-state.json --out <output-dir>/review-actions.json

Delegate triage to:

./agents/review-triager.md

Require triager output contract:
- review-actions.json is valid v2
- targets use node IDs only
- actions remain intentionally ordered
- every defer action includes a Linear issue identifier
- will-address actions for review_thread targets must remain actionable via thread replies (not PR reviews)
Create Linear tracking for deferred work:
- create one or more Linear tickets (group related deferred comments)
- attach each deferred action to a Linear issue ID (linearIssue)
- ensure the deferred thread reply includes that Linear ticket URL
Validate canonical actions JSON and enforce completed triage decisions:

bash
node ./scripts/validate-review-actions.mjs --in <output-dir>/review-actions.json --require-final

Render markdown from canonical actions JSON:

bash
node ./scripts/render-review-actions.mjs --in <output-dir>/review-actions.json --out <output-dir>/review-actions.md

Schema contract

review-actions.json is canonical and must be schema version 2.
No backward compatibility is provided for v1 artifacts.
The triager edits scaffolded actions in place instead of reconstructing the entire file.
Triage phase is only complete when there are zero triage_pending decisions.
Review artifacts are generated files and must remain untracked in git.
defer decisions require Linear tracking (linearIssue) and a thread reply with that link.

Output to user

Return artifact paths:

review-actions.json
review-actions.md

Suggest next step:

/review-implement-phase <PR_URL> [output-dir]

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Review Triage Phase AI skill do?

Produces canonical review actions from fetched review state and renders action markdown. Use when the user wants only triage/action-planning for the review-framework workflow.

Why use Review Triage Phase on TypingMind?

Because you install it once and use it with any model. Review Triage Phase 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 Triage Phase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prisma/orm/tree/main/skills-contrib/review-triage-phase. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Review Triage Phase?

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 Triage Phase?

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

Is the Review Triage Phase AI skill free?

Yes. It is published on GitHub by prisma under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Review Triage Phase

Inputs

Preconditions

Behavior

Schema contract

Output to user

Bundled files

Frequently asked questions

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