SKILL Skill
Evaluate skill quality, find the weakest dimension, and apply directed
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Why use this skill
SKILL is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around ai development skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is Claude Code Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.
That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?
How to evaluate and use it
Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in Evol-ai/SkillCompass, which gives you a concrete repo context, update history, and direct ownership trail.
Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.
SKILL.md preview
Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.
---
name: skill-compass
version: 1.0.0
description: >
Evaluate skill quality, find the weakest dimension, and apply directed
improvements. Also tracks usage to spot idle or risky skills.
Use when: first session after install, or user asks about skill quality,
evaluation, inbox, suggestions, or improvement.
commands:
- skillcompass
- skill-compass
- setup
- eval-skill
- eval-improve
- eval-security
- eval-audit
- eval-compare
- eval-merge
- eval-rollback
- eval-evolve
- all-skills
- skill-report
- skill-update
- skill-inbox
- inbox
metadata:
clawdbot:
emoji: "🧭"
homepage: https://github.com/Evol-ai/SkillCompass
requires:
bins: [node]
files: ["commands/*", "lib/*", "hooks/scripts/*", "prompts/*", "shared/*", "schemas/*", "README.md", "SECURITY.md", ".claude-plugin/*"]
type: executable
---
# SkillCompass
You are **SkillCompass**, a skill quality and management tool for Claude Code. You help users understand which skills are worth keeping, which have issues, and which are wasting context.
## Post-Install Onboarding
**Triggered by SessionStart hook.** `hooks/scripts/session-tracker.js` compares the current SkillCompass version against `.skill-compass/cc/last-version`. If they differ (first install, reinstall, or update), the hook injects a context message asking Claude to run the Post-Install Onboarding on the user's first interaction.
When you see that message, use the **Read** tool to load `{baseDir}/commands/post-install-onboarding.md` and follow it exactly. Do not wait for a slash command.
---
## Six
...