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 signalUse 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
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/<skill-name>
~/.claude/skills/<skill-name>For this repository, keep the folder name content-to-skill.
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.
Minimum skill package:
skill-name/
├── SKILL.md
├── agents/openai.yaml
└── examples/retest-prompts.mdFor richer sources it may also add:
references/
scripts/
test-prompts.json
README.md
LICENSE
.gitignoreContent 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.
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.
MIT. See LICENSE.