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using-agent-skills

An AI agent skill from addyosmani/agent-skills, scored 71 out of 100 by code.

71/ 100B

Code score by group

  • Spec20/20
  • Description10/20
  • Procedure12/15
  • Done criteria4/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or workflow applies to the piece of work at hand. This is the meta-skill that governs how all other skills are discovered and invoked.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
addyosmani/agent-skills
Folder
skills/using-agent-skills
License
MIT
GitHub stars
116,263
SKILL.md lines
193
Other files
0

Add using-agent-skills to your agent

npx skills add addyosmani/agent-skills --skill using-agent-skills

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

More skills from addyosmani/agent-skills

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  3. frontend-ui-engineering

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  4. doubt-driven-development

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  5. planning-and-task-breakdown

    Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you…

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  6. code-simplification

    Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use…

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  7. documentation-and-adrs

    Records decisions and documentation. Use when you need to document an architecture decision (ADR) or the reasoning behind a design choice, when changing public APIs, shipping feat…

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  8. observability-and-instrumentation

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All skills in addyosmani/agent-skills

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.