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 skillifyInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| skillify (this skill)by coreyhaines31 | 84 | 824 | 31d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 92.4k | 21d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.0k | today | MCP Server |
| rufloby ruvnet | 100 | 74.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 14d ago | SKILL.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.
Skill content
View source on GitHubname: 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 skillscompound-engineering:skill-creator(skill) — deeper guide for effective skillscompound-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:
- Read backward through this conversation. Look for a workflow repeated multiple times, a process re-explained, opinions restated, tooling/voice/output decisions.
- Identify the load-bearing pieces: trigger, steps, references, success shape, voice.
- Surface gaps that need clarification before scaffolding — ask 2–4 tight questions.
- Draft SKILL.md, citing chat moments inline ("Per your message about X…") so the user can verify.
from-dump:
- Parse the dump (Notion page, Slack thread, Loom transcript, teammate brief, exported ChatGPT conversation).
- Same synthesis logic as from-chat.
- Cite where in the dump each rule came from.
from-video:
- Take the URL or local path.
- Call
watch-video <url> visual— get transcript + key visual moments + summary. - Read outputs:
<workdir>/transcript.txt,<workdir>/moments.md,<workdir>/summary.md. - 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.
- Surface gaps — ambiguous moments needing clarification.
- Draft SKILL.md citing video moments by timestamp.
- Optionally save the source to
second-brainascall-<slug>.mdornote-<slug>.md.
Heuristic: recording >10 minutes = process probably too big for one skill. Suggest splitting before drafting.
from-scratch: Interactive Q&A:
- Name (kebab-case, verb-noun preferred — matches
watch-video,read-book,paste) - One-line purpose
- Trigger phrases (4–8)
- Initial reference files?
- 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-skillfor 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 → yourreferences/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-skillfor 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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
