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ZICQ

Skills ZICQ category:Agent Workflows archify-review

Archify Review

Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.

24233 installs

Official URL:skills.sh

What this skill does

Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.

What it does

Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.

When to use it

The official description does not include a separate “Use when”. Per the spec, agents activate this skill when the task matches keywords in that description.

How agents load it

Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: Archify Review.

File analysis

File analysis: instruction-only skill (SKILL.md). The agent loads the full body when activated.

Archify Review

Source category:skills.sh agent-skill

SKILL.md & Agent activation

Official spec ↗
name
archify-review
description
Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.
  1. DiscoverThe client exposes names and descriptions to the agent.
  2. ActivateYour request or the task context selects the skill and loads its instructions.
  3. Load resourcesReferenced scripts, documentation and assets are used when needed.

Invocation syntax and available tools depend on your Agent client. Client integration guide ↗

Install this skill

Skills CLI ↗

Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.

Ask your Agent to install

Copy these instructions to a compatible agent and confirm the target directory matches your client.

Install the agent skill "archify-review" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-b0b2dd4528c5548a-Archify-Review.html
Save it as .cursor/skills/archify-review/SKILL.md or .claude/skills/archify-review/SKILL.md and keep the frontmatter name and description exactly as-is.

Full package on GitHub ↗

Install from the terminal · Skills CLI

Requires Node.js and npx. First inspect the repository's skill list to confirm the name.

npx skills add 'https://github.com/tt-a1i/archify' --list

npx skills add 'https://github.com/tt-a1i/archify' --skill 'archify-review'

The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.

Readable layout

name: archify-review description: Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments. metadata: internal: true

Archify 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.

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