Skillify
Codex non-officiel sur Claude Code — theorie, ecosysteme, case studies, ressources. Code en pair-programming avec Claude Code.
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Use when the user wants to take a concept observed in an external tool, library, methodology or article (e.g. Ruflo, LangGraph, BMAD, a blog post, a paper) and turn it into a reusable Claude Code skill — keeping the idea, dropping the rest. Triggers on phrases like "skillify this", "make a skill out of X", "extract this pattern as a skill", or after the user identifies a useful concept while testing a tool.
SKILL.md
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Skillify
Transforms a useful concept observed in an external tool / framework / methodology / article into a self-contained Claude Code skill — without adopting the source tool itself.
When to use this skill
Use skillify when:
- A tool has a great idea but its full install is too invasive (Ruflo's SPARC, plugin systems, hook patterns, memory architectures…)
- A blog post / paper describes a workflow worth keeping (Hamel's eval rubric, an Anthropic engineering pattern, a SPARC-like methodology…)
- The user says "I want to keep this idea but not the whole tool"
Don't use skillify when:
- The concept is already trivially covered by an existing skill (check first)
- The concept needs runtime/daemon/database (it's a service, not a skill)
- The user wants to actually adopt the tool itself (just install it then)
Heuristic: skillify vs adopt-as-tool
| Skillify | Adopt as tool |
|---|---|
| Concept fits in 100-300 lines of SKILL.md | Needs runtime/daemon |
| Source tool has friction you want to skip | Source tool is mature & cohesive |
| You want reversibility | You want fail-fast on the whole thing |
| 1-2 users (you) | Team adoption |
If the user is unsure, ask via AskUserQuestion before proceeding.
The 5-step procedure
Track each step with TodoWrite from the start. Don't skip — each step de-risks the next.
Step 1 — Spot
Confirm what concept the user wants to skillify. If <argument-hint> is vague, ask:
- What's the idea (1 sentence)?
- Where did you see it (URL, repo, doc, conversation)?
- Why does it resonate (what problem does it solve for you)?
If the source is online, WebFetch the relevant page(s) to anchor on facts. If it's from a tool you tested, read the existing memory note (memory/<tool>_learnings*.md if present).
Step 2 — Isolate
Separate the idea (keep) from the packaging (drop).
For each concept, list explicitly:
- ✅ What we keep: the core mechanic, decision rule, mental model, sequence
- ❌ What we drop: deps, runtime, lock-in, naming/branding, sidecar features
Output: a 5-10 bullet "spec" of what the skill must do. If you can't articulate it in bullets, you don't understand it well enough yet — go back to Step 1.
Step 3 — Re-implement
Write a fresh SKILL.md at .claude/skills/<kebab-name>/SKILL.md. Don't copy-paste from the source — write it from understanding.
Required frontmatter:
---
name: <kebab-name>
description: <when-to-use sentence ≤200 chars, includes trigger phrases>
argument-hint: <if it takes args>
allowed-tools: <minimal set needed>
---
Body structure (adapt as fits):
- When to use / When not to use (mirror this very SKILL.md)
- The procedure (numbered steps, with TodoWrite tracking if multi-phase)
- Examples (1-2 short, concrete)
- Anti-patterns (what to avoid)
Cap target: under 250 lines. If it exceeds, split into companion files (e.g. examples.md, references.md) referenced from SKILL.md.
Step 4 — Document install paths
Create .claude/skills/<kebab-name>/INSTRUCTIONS.md next to SKILL.md with three install paths:
- Project-local (default): the skill lives in this repo, available only when Claude Code is invoked here.
- User-global:
cp -r .claude/skills/<kebab-name> ~/.claude/skills/to make it available across all projects. - Symlink for live edits:
ln -s "$(pwd)/.claude/skills/<kebab-name>" ~/.claude/skills/<kebab-name>so iterating in the project also updates the global version.
Step 5 — Save the learning
Update or create a memory note under ~/.claude/projects/<project>/memory/ :
- If a
<tool>_learnings_to_apply.mdexists (e.g.ruflo_learnings_to_apply.md), mark this learning as ✅ done with a link to the skill path. - If the source is new (a blog post, a fresh tool), create a new memory note with the source URL, the kept/dropped breakdown, and the skill path.
- Update
MEMORY.mdindex with the new memory.
Then propose a quick commit: feat(skill): add <kebab-name> skill (skillified from <source>).
Examples
SPARC (skillified from Ruflo, 2026-05-08): the SPARC methodology was bundled inside Ruflo's invasive install. We kept the methodology (Specification → Pseudocode → Architecture → Refinement → Completion) and dropped Ruflo. Result: .claude/skills/sparc/SKILL.md. Usage: /sparc add user authentication.
Two install paths (skillified from Ruflo's docs, hypothetical): Ruflo offers a "lite" plugin install vs a "full" npx ruflo init. The pattern of offering both modes is itself worth keeping. Could be skillified as /install-paths that audits a tool you're shipping and ensures it offers a lite mode.
Anti-patterns
- ❌ Skillifying things that should be a script, a config file, or a memory note instead. If there's no decision logic the skill would guide Claude through, it's not a skill.
- ❌ Copy-pasting the source's SKILL.md text wholesale. Re-implement from understanding — that's what de-risks lock-in.
- ❌ Skipping Step 5 (memory). Without it, the skillify origin is lost; in 6 months no one remembers where the idea came from.
- ❌ Creating skills with overlapping descriptions. Before you write,
Glob ~/.claude/skills/**/SKILL.mdand read existing descriptions to avoid trigger collisions. - ❌ Skills > 500 lines. Split or simplify.