Prompt to skill
Portable, standalone Zo Computer skills you can install, reuse, and share.
npx -y skills add thevibethinker/vibe-thinker-skills --skill prompt-to-skillAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Convert complex prompts into reusable skills. Assess whether a prompt should become a skill, then scaffold a cleaner starter structure with stronger defaults and less template slop.
SKILL.md
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Prompt to Skill
Overview
This skill helps you decide when a prompt has become complicated enough to deserve its own skill, then gives you a better starter structure to build from.
The goal is not just to create folders. The goal is to turn an overgrown prompt into something another person — or a future version of you — can actually understand, route into, and maintain.
Quick Start
# Assess a prompt for conversion eligibility
python3 Skills/prompt-to-skill/scripts/assess.py "Prompts/MyPrompt.prompt.md"
# Scaffold a new skill with stronger default files
python3 Skills/prompt-to-skill/scripts/scaffold.py my-new-skill
# Optionally set the author field in generated frontmatter
python3 Skills/prompt-to-skill/scripts/scaffold.py my-new-skill --author your-handle.zo.computer
When to Use This Skill
Use this skill when a prompt is doing too much and would be clearer as a reusable capability.
Good candidates usually:
- have multiple phases or decision points
- reference scripts, tools, files, or external systems
- require structured outputs or repeatable setup
- need durable docs instead of conversational context
- are likely to be reused, delegated, or shared
What the Scaffold Generates
The scaffold creates a stronger starter package than a bare placeholder:
SKILL.mdwith a real structure and a clearer acceptance barREADME.mdfor maintainer-facing context and first editsscripts/main.pyas a working example CLI entrypointreferences/NOTES.mdfor deeper implementation detailsassets/.gitkeepwhen static resources are needed later
This is intentionally still a starter. You should replace the generic example behavior with the real workflow before publishing.
Eligibility Criteria
The assessment script evaluates prompts based on:
- Length: 200+ lines suggests rising complexity
- Script references:
python3,bun, orN5/scripts/usage - Phase structure: multiple steps or workflow stages
- Schema requirements: JSON/YAML output specifications
- Prompt references: dependencies on other prompts or skills
- File operations: repeated file manipulation or transforms
- Code blocks: embedded logic that should probably live elsewhere
Scoring thresholds:
- 15+: strong conversion candidate
- 8-14: convert if reuse/maintenance pain is real
- Below 8: probably keep it as a prompt
Recommended Conversion Process
- Assess the prompt to see whether it has enough complexity to justify a skill.
- Decide the boundary: what belongs in docs, scripts, references, and assets?
- Scaffold the skill with a usable starter structure.
- Extract reusable logic from the prompt into files with clear roles.
- Tighten the docs so routing and prerequisites are obvious.
- Test the quick start and one real example workflow.
- Replace or slim the original prompt so it points to the new skill instead of duplicating it.
Usage
Assessment
# Basic assessment
python3 Skills/prompt-to-skill/scripts/assess.py "Prompts/MyPrompt.prompt.md"
# JSON output for scripting
python3 Skills/prompt-to-skill/scripts/assess.py "Prompts/MyPrompt.prompt.md" --json
Scaffolding
# Create a new skill in the default Skills/ directory
python3 Skills/prompt-to-skill/scripts/scaffold.py my-skill-name
# Create in a custom base directory
python3 Skills/prompt-to-skill/scripts/scaffold.py my-skill-name --base /path/to/directory
# Set a better author value in generated frontmatter
python3 Skills/prompt-to-skill/scripts/scaffold.py my-skill-name --author your-handle.zo.computer
Quality Bar for the Generated Skill
Before calling the scaffolded result reusable, make sure:
- the description clearly says what the skill does and when to use it
- the quick start actually works
- required secrets, integrations, and runtime assumptions are explicit
- examples contain no private names, paths, or tokens
- the file reads like instructions, not leftover brainstorming
Implementation Notes
- Skill names must be lowercase with single hyphen separators
- The scaffold is designed to reduce blank-template drift, not eliminate editing entirely
- If a skill does not need code, remove
scripts/rather than keeping dead starter files - If a skill grows long, move detailed implementation notes into
references/rather than bloatingSKILL.md