Archify Review
SkillDev toolsarchify-review is a skill that lets an AI agent review Archify issues, pull requests, and code by value, cost, and impact. It supports evidence-based maintenance decisions, so you can triage issues, assess changes, and judge code quality with a consistent method. The agent applies the same review lens each time instead of giving ad hoc opinions.
Use Archify Review in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Archify Review and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Archify Review skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent that can load and run skills.
What your AI can do with it
- Review Archify issues by value, cost, and impact
- Review Archify pull requests by value, cost, and impact
- Review Archify code for quality assessment
- Support issue triage decisions with evidence
- Support change review decisions with evidence
Getting started
- Have an AI agent that can load and run skills.
- Add the archify-review skill to that agent.
- Point the agent at an Archify issue, pull request, or piece of code.
- Ask for a review by value, cost, and impact.
- Use the result to make or support a maintenance decision.
What this skill tells your AI
The instructions your AI receives, as published by tt-a1i/archify in .agents/skills/archify-review/SKILL.md and read by ahel’s review.
Judge whether a problem is worth addressing and an approach is worth maintaining over time.
- Value: Identify the real problem, who benefits, how often it occurs, its consequences, and whether it is worth addressing now.
- Cost: Consider implementation and verification effort, along with the future cost of understanding, changing, and maintaining the code. Prefer existing capabilities and keep the solution proportional to the problem.
- Impact: Identify affected behavior and modules, consequences for users and future development, and whether the change improves maintainability or adds coupling and constraints.
Consider maintainability, complexity, compatibility, performance, and other relevant concerns within these three dimensions, according to the specific problem.
Ground judgments in evidence: verify the target revision and relevant facts, distinguish direct verification from existing evidence and assumptions, and choose checks that resolve the key uncertainties.
Explain whether the work is worthwhile, the approach's cost and impact, any better alternatives, and unresolved questions that matter to the decision. Give reasons and scale the detail to the importance of each concern.
For repository-specific review and contribution requirements, consult REVIEWING.md and CONTRIBUTING.md as needed.
Signals
- GitHub stars
- 74k
- Forks
- 5k
- Last commit
- Sep 2026
Questions
- What kinds of Archify work can it review?
- It reviews Archify issues, pull requests, and code. The review looks at value, cost, and impact to support evidence-based maintenance decisions.
- What is it used for?
- It is used for issue triage, change reviews, and code quality assessments on Archify work.
- Does it make the maintenance decision for me?
- No. It provides a review by value, cost, and impact so you can make or support an evidence-based maintenance decision.
- Does it work on repositories other than Archify?
- No. The skill is described for reviewing Archify issues, pull requests, and code.
Advanced
- Item type
- skill
- Key
archify-review- Source
- github.com/tt-a1i/archify