skill-creator

A guide for creating reusable Skills, which are written instructions that teach an AI assistant how to handle a particular workflow.

In plain words
What is it for?
Use it to turn repeated, error-prone, multi-step, or domain-specific work into a reusable workflow with valid naming, descriptions, and instructions.
Why use it?
It helps decide which repeated or complex processes are worth documenting and gives the resulting Skill a consistent structure.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/youglin-dev/aha-loop/skill-creator
Any agent
npx skills add YougLin-dev/Aha-Loop --skill skill-creator
Clone the repo
git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00041 $0.00985
Opus 5 $0.00020 $0.00492
Sonnet 5 $0.00008 $0.00197
Haiku 4.5 $0.00004 $0.00098

Measured 2d ago against content hash 509ba0b98a20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-creator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/skill-creator/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Creator

Creates well-structured Skills following Anthropic's official best practices.

When to Create a Skill

Good candidates:

  • Repeated 3+ times
  • Complex multi-step workflows
  • Error-prone processes
  • Domain-specific knowledge

Not worth codifying:

  • One-off tasks
  • Highly variable processes
  • Trivial single-step actions

SKILL.md Structure

Required Frontmatter

---
name: processing-documents
description: "Processes documents and extracts data. Use when working with PDF or Word files. Triggers on: process document, extract data."
---

Field requirements:

Field Rules
name Max 64 chars, lowercase letters/numbers/hyphens only
description Max 1024 chars, non-empty, use third person

Naming Convention

Use gerund form (verb + -ing):

  • processing-pdfs
  • analyzing-spreadsheets
  • managing-databases

Avoid: helper, utils, tools, anthropic-*, claude-*

Writing Descriptions

Always use third person (injected into system prompt):

# Good
description: "Processes Excel files and generates reports"

# Avoid
description: "I can help you process Excel files"
description: "You can use this to process Excel files"

Be specific and include triggers:

description: "Analyzes BigQuery data and generates reports. Use when querying sales metrics or creating dashboards. Triggers on: analyze data, bigquery report, sales metrics."

Skill Body Template

# [Skill Title]

[One sentence describing what this skill does]

## Quick Start

[Minimal example to get started - under 50 tokens]

## Process

1. [Step 1]
2. [Step 2]
3. [Step 3]

## Advanced Features

**[Feature A]**: See [FEATURE_A.md](FEATURE_A.md)
**[Feature B]**: See [FEATURE_B.md](FEATURE_B.md)

Best Practices

Be Concise

Only add context Claude doesn't already have. Challenge each piece:

  • "Does Claude really need this explanation?"
  • "Can I assume Claude knows this?"

Read the full file on GitHub · 173 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 173 lines · 41 tokens per session scan A 509ba0b98a20

Subscribe to this mod's changes

skill-creator is a skill published in the GitHub repository YougLin-dev/Aha-Loop (181 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 985 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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