Skill Creator
Create, edit, test, and optimize skills with performance benchmarking and accuracy improvements.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/skill-creator-creminiai/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
What this skill does
Skill Creator
Create new skills and iteratively improve them inside this SkillPack. Determine where the user is in the create → draft → test → improve cycle and help them move forward.
Pack-specific rules
All skills live under {{SKILLS_PATH}}/<skill-name>/SKILL.md and config is at {{PACK_CONFIG_PATH}}. These paths override any generic advice. Never create skills in the current workspace directory — always use {{SKILLS_PATH}}.
Creating a skill
Capture intent
Extract answers from the current conversation first, then fill gaps with targeted questions. Confirm before writing the first draft:
- What should this skill enable the model to do?
- When should this skill trigger?
- What output should it produce?
- Does the user want a lightweight draft, or a tested and iterated skill?
Clarify edge cases, input/output formats, success criteria, and dependencies as needed before writing test prompts.
Write the skill
Create the skill at {{SKILLS_PATH}}/<skill-name>/SKILL.md. Example template:
---
name: example-skill
description: "Analyze competitor pricing pages and generate a comparison matrix. Use when the user wants to benchmark pricing tiers, feature gaps, or positioning against specific competitors."
---
# Example Skill
## Workflow
1. Collect the target URLs from the user.
2. Extract pricing tiers, features, and limits from each page.
3. Generate a comparison matrix as a markdown table.
## Output
Return a markdown table with one column per competitor and one row per feature.
The description is the primary triggering mechanism — make it concrete with both what the skill does and when to use it. Keep the body focused on workflow, decisions, and output expectations. Place deterministic helpers under scripts/ and long reference material under references/.
Preserve the existing skill name when improving unless the user explicitly requests a rename.
Sync skillpack.json
After creating or updating a skill, sync {{PACK_CONFIG_PATH}}. Read the final SKILL.md, parse the YAML frontmatter, and upsert into the skills array:
{
"name": "<frontmatter.name>",
"description": "<frontmatter.description>",
"source": "./skills/<frontmatter.name>"
}
All three fields must come from frontmatter — do not guess from memory. Update existing entries instead of creating duplicates.
Writing guide
Prefer imperative instructions. Structure skills as: purpose, trigger guidance, required inputs, step-by-step workflow, output format, edge cases. For multi-domain skills, organize references by variant and tell the model how to choose.
Test and iterate
After drafting the skill, propose 2–3 realistic test prompts phrased as a real user would.
If the user wants evaluation, run the prompts, compare outputs against expectations, note failures, and revise. Otherwise, do at least a lightweight sanity check before calling the skill complete.
Improving an existing skill
When updating an existing skill:
- preserve its canonical
nameunless the user explicitly asks to rename it - keep the directory aligned with the canonical skill name
- update
SKILL.mdfirst - then re-read the final frontmatter and sync
{{PACK_CONFIG_PATH}}
Focus on general improvements rather than overfitting to one example. Keep the prompt lean and remove instructions that are not earning their place.
Completion checklist
Before you say the work is done, verify all of the following:
- the skill exists under
{{SKILLS_PATH}}/<skill-name>/SKILL.md SKILL.mdhasnameanddescriptionfrontmatter{{PACK_CONFIG_PATH}}has a matching entry inskills- the
sourcefield is./skills/<skill-name> - you have either tested the skill or explicitly told the user what remains untested
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