Agent skill · Content & Marketing

skillpack-creator

Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with `skillpack.json`, local skills under `skills/`, starter prompts, start scripts, and an optional zip package.

CreminiAIgithub.com/CreminiAIGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add CreminiAI/skillpack --skill skillpack-creator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/skillpack-creator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,139
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Skillpack Creator ## Overview Turn a successful task into a reusable SkillPack. Extract the stable workflow, decide what belongs in a local skill versus pack-level prompts, generate the pack structure, and package it only after the workflow is explicit and repeatable. ## Workflow ### 1. Normalize the source task Reduce the finished task into a clean execution spec: - Capture the user goal, concrete deliverable, and the final successful workflow (not the full exploratory transcript). - List required skills, tools, files, secrets, and environment assumptions. - Separate deterministic steps from heuristic steps; remove dead ends and debugging noise. - If the task is still too broad, narrow the scope instead of writing a vague mega-skill. If key success conditions depend on hidden human judgment, mark the pack as a best-effort assistant workflow. Ask for missing stable facts or infer only the low-risk pieces. ### 2. Decide what the pack should contain - **Local skill** (`skills/`): reusable procedural knowledge. Keep scripts minimal unless reproducibility depends on exact file generation or repetitive shell steps. - **Scripts** (`scripts/`): repeated shell or file-generation logic wh

What's inside
Steps it walks through
  1. Overview
  2. Workflow
  3. 1. Normalize the source task
  4. 2. Decide what the pack should contain
  5. 3. Create the pack specification
  6. 4. Create the local orchestrator skill
  7. 5. Materialize the pack
  8. 6. Validate the result
  9. Output Standard
Ships with 3 files
  • agents/openai.yaml
  • references/skillpack-format.md
  • scripts/scaffold_skillpack.py
Commands it runs
Basic
python3 skills/skillpack-creator/scripts/scaffold_skillpack.py \
With zip
More from skillpack
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About this skill
What does the skillpack-creator skill do?

Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with `skillpack.json`, local skills under `skills/`, starter prompts, start scripts, and an optional zip package.

How do I install it?

Run `npx skills add CreminiAI/skillpack --skill skillpack-creator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From CreminiAI/skillpack, a repository with 1,139 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going