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skillify

When you want to create, adapt, or update a Claude Code skill in one of your sibling repos (list your own repos in ~/.config/makerskills/skillify/repos.yaml; defaults to makerskills). Routes to the right mode automatically.

Install / Use

npx skills add coreyhaines31/makerskills --skill skillify

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Automation

Supported Platforms

Claude Code

Our assessment of skillify

skillify scores 84/100 on our quality scale, 2062nd of 2,885 Automation skills we index.

Its SKILL.md is 18 KB long, well organised into 43 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

It has 824 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 31 days ago, so skillify is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

skillify compared with similar skills

All 4 of these similar skills score higher than skillify; compare them before choosing.

SkillScoreStarsUpdatedFormat
skillify (this skill)by coreyhaines318482431d agoSKILL.md
Agent-Reachby Panniantong10092.4k21d agoCLAUDE.md
Scraplingby D4Vinci10086.0ktodayMCP Server
rufloby ruvnet10074.0ktodayMCP Server
algorithmic-artby anthropics100177.9k14d agoSKILL.md

Frequently asked questions

How do I install skillify?
Run npx skills add coreyhaines31/makerskills --skill skillify. The install tabs above show the steps for each supported agent.
Which AI agents does skillify work with?
It is written for Claude Code, as a SKILL.md file. Other agents that read the same format can often use it too.
Is skillify safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is skillify still maintained?
The repository was last updated 31 days ago, so skillify is actively maintained.

name: skillify description: When you want to create, adapt, or update a Claude Code skill in one of your sibling repos (list your own repos in ~/.config/makerskills/skillify/repos.yaml; defaults to makerskills). Routes to the right mode automatically. Modes — CREATE (from-chat / from-video / from-dump / from-scratch) turns a workflow, brief, recording, or fresh idea into a new skill. ADAPT ports an external skill (GitHub URL, agentskills.io, local disk) into your namespace with three-bucket classification (keep/adapt/add) + license check + attribution. UPDATE improves existing skills from learnings with cross-skill propagation, memory-vs-skill triage, and semver discipline. Defers to Anthropic's guidance (compound-engineering:create-agent-skill, compound-engineering:skill-creator, compound-engineering:heal-skill) for schema and best-practice depth. Triggers on "/skillify," "create a skill," "make this a skill," "skill from this chat," "extract a skill from what we've been doing," "adapt this skill," "port this skill," "fork this skill," "borrow this skill," "update X skill," "apply this to the relevant skills," "propagate this learning," "improve [skill]," "fix [skill]," "iterate on [skill]." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code. metadata: version: 0.2.0

/skillify — Create, adapt, or update a skill

One skill, three modes. Routes automatically to the right one based on input signal.

Consolidates and replaces the prior create-skill, adapt-skill, and update-skill (all merged as of v0.2.0 for vocabulary-moat consistency with the -ify trifecta).

Step 0 — Detect mode

Route by signal:

| Signal | Mode | |---|---| | Invoked mid-conversation with substantive recent workflow discussion | CREATE / from-chat (default) | | /skillify from-video <url> OR /skillify + a video URL | CREATE / from-video | | /skillify from-dump + pasted brief/transcript/notes | CREATE / from-dump | | /skillify from-scratch <name> OR "make a new skill called X" with no context | CREATE / from-scratch | | /skillify <github-url> OR "adapt this skill" / "port this skill" / "fork this skill" + external source | ADAPT | | /skillify <existing-skill> <change> OR "update X skill" / "propagate this learning" | UPDATE / targeted | | /skillify update (mid-conversation) | UPDATE / from-chat — scan recent chat for learnings | | /skillify usage <skill> | UPDATE / usage — review recent runs, suggest improvements |

If ambiguous, ask before proceeding. Never guess between CREATE and ADAPT if there's an external URL involved.


Mode: CREATE

Build a new skill from chat / video / dump / scratch.

Step 1 — Confirm the input source

| Sub-mode | What | |---|---| | from-chat (default) | Extract the skill from the workflow discussed in this conversation. Most common case. | | from-video | User recorded a Loom / Zoom / screen-share. Calls watch-video in visual mode → transcript + key visual moments → SKILL.md. Best for visual/UI-heavy workflows. | | from-dump | User pastes a brief, prior conversation transcript, exported chat, or notes. | | from-scratch | Fresh idea with no source material — interactive Q&A. |

Step 2 — Defer to Anthropic guidance for the schema

Don't reinvent SKILL.md format rules. For frontmatter, description-writing, references/ structure, and skill best practices:

  • compound-engineering:create-agent-skill (agent) — expert guidance for creating + editing Claude Code skills
  • compound-engineering:skill-creator (skill) — deeper guide for effective skills
  • compound-engineering:heal-skill (skill) — for fixing existing skills
  • anthropics/skills — official Anthropic examples
  • agentskills.io — open Agent Skills spec

Call those directly when in doubt about format. skillify orchestrates your workflow — which repo, which conventions, which cross-references. Format expertise lives upstream.

Step 3 — Pick target repo

Load the user's sibling repo list from ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/skillify/repos.yaml if present. Otherwise default to makerskills (this repo). Example format:

# ~/.config/makerskills/skillify/repos.yaml
repos:
  - name: makerskills
    domain: Personal cross-cutting operator work
    path: ~/code/makerskills
  - name: marketingskills
    domain: Generic marketing tactics
    path: ~/code/marketingskills

Infer target if obvious from the skill's domain; ask if ambiguous.

Step 4 — Synthesize per sub-mode

from-chat:

  1. Read backward through this conversation. Look for a workflow repeated multiple times, a process re-explained, opinions restated, tooling/voice/output decisions.
  2. Identify the load-bearing pieces: trigger, steps, references, success shape, voice.
  3. Surface gaps that need clarification before scaffolding — ask 2–4 tight questions.
  4. Draft SKILL.md, citing chat moments inline ("Per your message about X…") so the user can verify.

from-dump:

  1. Parse the dump (Notion page, Slack thread, Loom transcript, teammate brief, exported ChatGPT conversation).
  2. Same synthesis logic as from-chat.
  3. Cite where in the dump each rule came from.

from-video:

  1. Take the URL or local path.
  2. Call watch-video <url> visual — get transcript + key visual moments + summary.
  3. Read outputs: <workdir>/transcript.txt, <workdir>/moments.md, <workdir>/summary.md.
  4. Synthesize: trigger (first 30s), steps (visual moments + matching transcript), tools used, decision points ("if X do Y" moments), success shape (last few seconds), voice cadence.
  5. Surface gaps — ambiguous moments needing clarification.
  6. Draft SKILL.md citing video moments by timestamp.
  7. Optionally save the source to second-brain as call-<slug>.md or note-<slug>.md.

Heuristic: recording >10 minutes = process probably too big for one skill. Suggest splitting before drafting.

from-scratch: Interactive Q&A:

  1. Name (kebab-case, verb-noun preferred — matches watch-video, read-book, paste)
  2. One-line purpose
  3. Trigger phrases (4–8)
  4. Initial reference files?
  5. Composes with which other skills?

Step 5 — Generate frontmatter

---
name: <kebab-case>
description: <rich, trigger-rich, ~2–4 sentences. Lead with "When you want to..." Include 4–8 trigger phrases in quotes. Differentiate from adjacent skills.>
metadata:
  version: 0.1.0
---

Description rules (load-bearing — Claude routes by description match):

  • Lead with the use case ("When you want to X…")
  • Include explicit trigger phrases
  • Differentiate from sibling skills
  • Mention key references the skill loads
  • Keep under ~500 characters

For deeper description-writing guidance, consult compound-engineering:skill-creator.

Step 6 — Scaffold the directory

<target-repo>/skills/<name>/
├── SKILL.md
└── references/
    └── ...

Body follows existing skills' pattern (pm, decide, second-brain):

  • # /<name> — <one-line purpose>
  • Numbered ## Step N — <phase> sections
  • Composes-with cross-references
  • Quality notes at the end

Step 7 — Update README, commit, push

Append to target repo's README skill table:

| [`<name>`](./skills/<name>/SKILL.md) | <one-line purpose> |

Commit + push. Report new skill path, commit hash, and reminder that /plugin install or symlink may need a refresh.

Step 8 — Offer follow-ups

  • "Flesh out a specific Step now, or come back to it?"
  • "Run through compound-engineering:heal-skill for a quality pass?"
  • "Should this compose with [adjacent skill]?"

Mode: ADAPT

Port an external skill (GitHub URL, agentskills.io, local disk, or pasted SKILL.md) into your namespace.

Step 1 — Fetch the source

Accept:

  • GitHub URL to a SKILL.md or repo (https://github.com/<owner>/<repo> or full path to SKILL.md)
  • agentskills.io URL or skills.sh URL
  • Local path to an existing skill on disk (other plugins in ~/.claude/plugins/)
  • Pasted SKILL.md content
# GitHub repo: clone shallow
git clone --depth 1 <url> /tmp/skillify-adapt-<short-id>/
# OR fetch a single file
gh api -H "Accept: application/vnd.github.raw" repos/<owner>/<repo>/contents/SKILL.md > /tmp/adapt-source.md

Capture the commit SHA so attribution can point at a stable revision.

Step 2 — Analyze + classify

Read source SKILL.md + any references/ it ships. Classify into three buckets per references/adapt-buckets.md:

| Bucket | What | Example | |---|---|---| | Keep verbatim | Format, schema, mechanic, scripts, frameworks | Question banks, ffmpeg flags, regex patterns, JSON schemas | | Adapt | Tool defaults, paths, voice, naming, opinions | Their video tool → your watch-video, their kanban → your pm, their voice → your voice | | Add | Cross-references to your existing skills, composition notes, your conventions | "Composes with decide," "Saves to second-brain raw/," "Uses MLX-Whisper local" |

Output classification as a table for approval before writing anything. Don't silently rewrite — surface the changes.

Step 3 — License check

Read the source's LICENSE. Per references/adapt-license-check.md:

| License | Action | |---|---| | MIT / Apache-2.0 / BSD / ISC / CC0 | ✅ Green — proceed | | MPL-2.0 / LGPL | 🟡 Yellow — adapt OK; warn about file-level reciprocity | | GPL-2.0 / GPL-3.0 / AGPL | ❌ Red — contagion risk. Surface before proceeding. | | Proprietary / no license | ❌ Red — stop. No legal basis to copy. | | Unclear | 🟡 Yellow — ask, default to skip if uncertain |

For permissive licenses, attribution is the only requirement — handled in Step 6.

Step 4 — Pick target repo

Same table as CREATE Step 3.

Step 5 — Rewrite

Keep verbatim: copy as-is; add <!-- from <source> --> marker if helpful.

Adapt:

  • Naming: rename to verb-noun if not (matches watch-video, read-book, paste)
  • Tool swaps: their generic kanban → pm, their video tool → watch-video, their note system → second-brain, their decision framework → decide
  • Voice: apply your voice rules — direct, conviction-coded. For social-adjacent skills, apply link-placement rule.
  • Paths: their ~/outputs/ → your ~/Documents/<skill>-<...>/ convention; their config → your references/ pattern
  • Names + context: generic examples → your portfolio context where the skill needs it

Add:

  • Cross-references to existing sibling skills
  • Composition notes (which other skills this calls or feeds)
  • Your conventions (frontmatter version, references/ subdir structure, BACKLOG entry if it spawns sub-ideas)

Step 6 — Attribution file

Write references/attribution.md:

# Attribution

- **Source**: <original SKILL.md URL>
- **Repository**: <repo URL>
- **Author**: <name + handle>
- **Commit SHA**: <SHA at time of adapt>
- **License**: <license name + URL>
- **Adapted**: <YYYY-MM-DD>

## What was kept verbatim
- ...

## What was adapted
- <old> → <new>

## What was added
- ...

## License compliance
<upstream LICENSE text if MIT/BSD/Apache requires it, OR reference where in this repo it lives>

## Upgrade path
Run `git ls-remote <repo-url> HEAD`. If SHA differs from above, re-run `/skillify <same-url>` for a 3-way merge.

For MIT / Apache / BSD, LICENSE text either gets copied into this file or the source LICENSE file gets copied to the skill dir.

Step 7 — Scaffold + commit

Same as CREATE Steps 6–7. Commit message: "Adapt <name> skill from <source-name>".

Step 8 — Report + offer follow-ups

  • Commit hash + new skill path
  • Show three-bucket classification one more time so the diff is clear
  • Offer:
    • "Flesh out the adaptations? Some defaults may still need your touch."
    • "Run compound-engineering:heal-skill for a QA pass?"
    • "Set up an upstream-check reminder via loopify?"

Mode: UPDATE

Improve existing skil

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars824
CategoryAutomation
Updated1mo ago
Forks67

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions