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skillify

Turn a working solution into a permanent, tested skill — extract pattern, interrogate for depth, create SKILL.md, publish to registry.

Skill by belt-sh

IndexedMIT★ 2
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/belt-sh-skillify

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Turn a working solution into a permanent, tested skill — extract pattern, interrogate for depth, create SKILL.md, publish to registry. Use when the user says 'skillify', 'make this a skill', 'remember this as a skill', or when a multi-step workflow was refined through trial and error.

Use cases: productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/skillify

Tools it pre-approves 7

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Bash(belt
  • skill
  • *),
  • Read,
  • Glob,
  • Grep,
  • Agent

What's inside

Skill name
skillify
Description
Turn a working solution into a permanent, tested skill — extract pattern, interrogate for depth, create SKILL.md, publish to registry. Use when the user says 'skillify', 'make this a skill', 'remember this as a skill', or when a multi-step workflow was refined through trial and error.
License
MIT
Allowed tools
Bash(belt, skill, *),, Read,, Glob,, Grep,, Agent
Instructions
126 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Files (1)

  • SKILL.md

SKILL.md (first lines)

## Skillify

Turn what just worked into a skill that works forever. This follows a structured interrogation process — don't rush to write the SKILL.md.

### When to use

- A multi-step workflow was refined through trial and error
- The user recovered from a failure and wants to prevent recurrence
- The user says "skillify", "make this a skill", "remember this as a skill"
- A working solution emerged that could apply to other projects

### Process

#### 1. Triage — Is this actually worth a skill?

Before doing anything, evaluate:
- **Refinement arc?** Did something fail first, then get corrected into a working approach? That correction IS the skill.
- **Reusable?** Would this help in a different project, or is it specific to this exact codebase?
- **Multi-step?** Is it a workflow with ordered steps, not a one-liner?

If the answer to all three is "no", tell the user why and suggest saving it as knowledge instead (`belt knowledge upload`).

#### 2. Interrogate — Dig deep before writing

Launch a subagent to analyze the conversation. The subagent should answer:

1. What specific steps make up this workflow? List them in order.
2. Where did the naive approach fail? What corrections or pivots happened?
3. What are the hard-won gotchas — things that look right but break?
4. Which steps are deterministic (same input → same output) vs judgment (requires LLM reasoning)?
5. What would someone need to know BEFORE attempting this?

Be concrete — actual commands, endpoints, file paths, error messages.

Present findings to the user for validation before proceeding.

#### 3. Check for existing skills

Search for duplicates and related skills:
```bash
belt skill search "<relevant keywords>"
belt skill store search "<relevant keywords>"
```

If a similar skill exists, fetch and review it:
```bash
belt skill use <namespace/name>
```

Then decide:
- **Create new** — if genuinely novel
- **Update existing** — if the conversation revealed something the existing skill missed. Review line-by-line:
  - What specific instructions were wrong or missing?
  - What new gotchas should be added?
  - What existing content is still correct?

#### 4. Produce the SKILL.md

Write the skill with these quality criteria:

**Abstraction**: Remove instance-specific details (specific file paths, project names, API keys). Keep the reusable pattern.

**Conciseness**: Capture the pattern in minimum words. Dense > verbose. Every line must earn its place.

**Actionability**: Every step should be executable. No vague "consider doing X" — say exactly what to do and when.

**Deterministic work is deterministic**: If a step is "same input → same output" (API calls, file parsing, data lookup), it should be a script or exact command, not LLM reasoning.

**Rules have reasons**: Every constraint traces back to a specific failure. Not "always validate input" but "validate the response schema because the API returns 200 with an error body when the model name is wrong (discovered when deployment succeeded but inference returned empty)."

**Pushy description**: The `description` field in frontmatter determines whether this skill gets loaded. Be explicit about trigger conditions. Instead of "Helps with deployments" write "Deploy and test inference.sh apps — use when building new apps, adding providers, or debugging deployment failures. Trigger on: app creation, provider integration, deploy errors, pricing configuration."

#### SKILL.md structure

```markdown
---
name: <kebab-case-name>
description: "<what it does> — <when to use it, be specific and slightly pushy about trigger conditions>"
allowed-tools: <tools needed>
---

## <Name>

<One paragraph: what this skill does and the key insight that makes it valuable.>

### When to use

<Specific trigger conditions — not vague categories but concrete situations.>

### Process

<Numbered steps. Each step says what to do, not what to consider.
Mark deterministic steps with [deterministic] and judgment steps with [judgment].>

### Rules

<Hard constraints from real failures. Each rule format:
- Rule statement
- Why: the specific failure that taught this lesson>

### Gotchas

<Things that look right but break. Format:
- What seems correct → What actually happens → What to do instead>
```

#### 5. Publish

```bash
belt skill upload <skill-directory>
```

Same name = new version. Identical content is skipped.

### Quality checklist

Before publishing:
- [ ] Triage passed — this is genuinely reusable, not a one-off
- [ ] Interrogation done — the hard-won details are captured

From belt-sh/skills, MIT.

Signals

Stars
2
Forks
0
Open issues
0
Last commit (this folder)
Sep 27, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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Cite this page

skillify. Agent Mart. https://agentmart.dev/skills/belt-sh-skillify (last updated 2026-10-24)