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Misc107k · #364

using-agent-skills

Has your agent discover and use other skills. It's useful for deciding which tool or workflow to use for a specific task.

What it does

This tool helps the AI choose the best 'skill' (set of instructions) to use for a task. It acts as a guide to decide which process to follow, from starting a project to fixing errors.

When to use it

  • ✓When you're unsure which instruction to give the AI.
  • ✓When starting a new project or complex task.
  • ✓When the AI needs to decide which process to follow to solve a problem.

Example of what to ask your AI

“Which skill should I use to implement a new feature?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/addyosmani/agent-skills/blob/main/skills/using-agent-skills/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/addyosmani/agent-skills/blob/main/skills/using-agent-skills/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI analyzes your task and compares it to a list of available processes (skills). It selects the most appropriate skill based on your task description.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

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

Or download just the file:

curl -L https://raw.githubusercontent.com/addyosmani/agent-skills/main/skills/using-agent-skills/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Using Agent Skills

Overview

Agent Skills is a collection of engineering workflow skills organized by development phase. Each skill encodes a specific process that senior engineers follow. This meta-skill helps you discover and apply the right skill for your current task.

Skill Discovery

When a task arrives, identify the development phase and apply the corresponding skill:

Task arrives
    │
    ├── Don't know what you want yet? ──────→ interview-me
    ├── Have a rough concept, need variants? → idea-refine
    ├── New project/feature/change? ──→ spec-driven-development
    ├── No quality bar written down? ──→ constraint-driven-development
    ├── Have a spec, need tasks? ──────→ planning-and-task-breakdown
    ├── Implementing code? ────────────→ incremental-implementation
    │   ├── UI work? ─────────────────→ frontend-ui-engineering
    │   ├── API work? ────────────────→ api-and-interface-design
    │   ├── Need better context? ─────→ context-engineering
    │   ├── Need doc-verified code? ───→ source-driven-development
    │   └── Stakes high / unfamiliar code? ──→ doubt-driven-development
    ├── Writing/running tests? ────────→ test-driven-development
    │   └── Browser-based? ───────────→ browser-testing-with-devtools
    ├── Something broke? ──────────────→ debugging-and-error-recovery
    ├── Reviewing code? ───────────────→ code-review-and-quality
    │   ├── Too complex? ─────────────→ code-simplification
    │   ├── Security concerns? ───────→ security-and-hardening
    │   └── Performance concerns? ────→ performance-optimization
    ├── Committing/branching? ─────────→ git-workflow-and-versioning
    ├── CI/CD pipeline work? ──────────→ ci-cd-and-automation
    ├── Deprecating/migrating? ────────→ deprecation-and-migration
    ├── Writing docs/ADRs? ───────────→ documentation-and-adrs
    ├── Adding logs/metrics/alerts? ───→ observability-and-instrumentation
    └── Deploying/launching? ─────────→ shipping-and-launch

Core Operating Behaviors

These behaviors apply at all times, across all skills. They are non-negotiable.

1. Surface Assumptions

Before implementing anything non-trivial, explicitly state your assumptions:

ASSUMPTIONS I'M MAKING:
1. [assumption about requirements]
2. [assumption about architecture]
3. [assumption about scope]
→ Correct me now or I'll proceed with these.

Don't silently fill in ambiguous requirements. The most common failure mode is making wrong assumptions and running with them unchecked. Surface uncertainty early — it's cheaper than rework.

2. Manage Confusion Actively

When you encounter inconsistencies, conflicting requirements, or unclear specifications:

  1. STOP. Do not proceed with a guess.
  2. Name the specific confusion.
  3. Present the tradeoff or ask the clarifying question.
  4. Wait for resolution before continuing.

Bad: Silently picking one interpretation and hoping it's right. Good: "I see X in the spec but Y in the existing code. Which takes precedence?"

3. Push Back When Warranted

You are not a yes-machine. When an approach has clear problems:

  • Point out the issue directly
  • Explain the concrete downside (quantify when possible — "this adds ~200ms latency" not "this might be slower")
  • Propose an alternative
  • Accept the human's decision if they override with full information

Sycophancy is a failure mode. "Of course!" followed by implementing a bad idea helps no one. Honest technical disagreement is more valuable than false agreement.

4. Enforce Simplicity

Your natural tendency is to overcomplicate. Actively resist it.

Before finishing any implementation, ask:

  • Can this be done in fewer lines?
  • Are these abstractions earning their complexity?
  • Would a staff engineer look at this and say "why didn't you just..."?

If you build 1000 lines and 100 would suffice, you have failed. Prefer the boring, obvious solution. Cleverness is expensive.

5. Maintain Scope Discipline

Touch only what you're asked to touch.

Do NOT:

  • Remove comments you don't understand
  • "Clean up" code orthogonal to the task
  • Refactor adjacent systems as a side effect
  • Delete code that seems unused without explicit approval
  • Add features not in the spec because they "seem useful"

Your job is surgical precision, not unsolicited renovation.

6. Verify, Don't Assume

…

FAQ

What are 'skills'?

They are sets of instructions that teach the AI to follow specific processes, like writing code, testing, or fixing bugs.

Why does the AI need to choose a skill?

To ensure the task is performed in the most efficient and correct way, following a well-defined process, much like an experienced engineer would.

What happens if no skill seems appropriate?

The AI might ask for more information or suggest a more general skill to start with, like 'interview-me', which helps better understand your needs.

Details

Original description by the author

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.

repo: addyosmani/agent-skills

Popularity

GitHub stars
107k
Ranking position
#364
License
MIT
Updated
10/13/2026

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