Content To Skill

Content To Skill converts source material into a runnable Agent Skill package. It is useful when you have notes, documents, transcripts, videos, course material, workflows, repositories, or rough methods and want to turn them into a repeatable SKILL.md with references, examples, scripts, and validation prompts.

The core rule is simple:

source evidence -> reusable mechanism -> executable workflow -> output contract -> validation signal

When To Use

Use this skill when you want to:

• convert documents, notes, transcripts, or workflow memos into a structured skill
• package a repeatable method as SKILL.md
• audit a weak generated skill and repair it from source evidence
• create a public or private skill repository with validation prompts
• preserve the useful mechanism of source material without copying the source wholesale

Install

Copy this folder into any skills-compatible runtime’s skill directory, or install it through your runtime’s skill installer if one is available.

Common local paths:

$CODEX_HOME/skills/content-to-skill
~/.codex/skills/content-to-skill
$CLAUDE_HOME/skills/
~/.claude/skills/

For this repository, keep the folder name content-to-skill.

Usage

Invoke it by name:

Use $content-to-skill to convert this transcript into a runnable skill package.

For public repository packaging:

Use $content-to-skill to turn this workflow memo into an open-source skill repository with README, LICENSE, validation script, and retest prompts.

What It Produces

Minimum skill package:

skill-name/
├── SKILL.md
├── agents/openai.yaml
└── examples/retest-prompts.md

For richer sources it may also add:

references/
scripts/
test-prompts.json
README.md
LICENSE
.gitignore

Safety Rule

Content To Skill must name the evidence boundary before turning content into instructions. If a video, document, repository, or private source is unavailable, the generated skill must say so and either ask for accessible material or mark the result as dry-run.

Validate

Run the local package validator:

scripts/check_skill_package.py .

If this repository is nested inside a larger skill repository that has a generic quality checker, also run that checker against this folder.

License

MIT. See LICENSE.