skillify
Skill0 starsChanged 35 days agoMITView on GitHub
Codify the most recent successful /scrape into a permanent, reusable scraper script on disk (scrapers/<name>.mjs) plus a small manifest, so the next time the same data is needed it runs instantly instead of re-prototyping. Use right after a /scrape that produced JSON the user accepted. Trigger phrases: 'skillify', 'mach das wiederverwendbar', 'speicher den scraper', 'save this scrape', 'make it permanent', 'als skript ablegen'. Refuses if there is no recent successful /scrape in the conversation, and never writes a half-broken script to disk.
51 other projects use a version of this.
Adopted by
Most recently taken up by
- devjiwonchoi/skillstheir own version, first seen Nov 8, 2026
- kyle-chalmers/ticketwrighttheir own version, first seen Nov 8, 2026
- timurgaleev/vibestacktheir own version, first seen Nov 8, 2026
- fmind/dottheir own version, first seen Nov 8, 2026
- fmind/dotfilestheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use plan-tune, ios-clean and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ShreyRaviSkillplan-tune
Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required.
Also in 9 projects that use this
Saqlain-811Skillios-clean
Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)
Also in 5 projects that use this
Saqlain-811Skillios-fix
Autonomous iOS bug fixer. (gstack)
Also in 5 projects that use this
ShreyRaviSkilllanding-report
Read-only queue dashboard for workspace-aware ship. Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next". (gstack)
Also in 8 projects that use this
timurgaleevSkilldocument-generate
Generate missing docs for a feature, module or project as tutorials, how-tos, reference and explanation.
Also in 7 projects that use this
bastosSkillios-design-review
Review iOS app UI/UX design quality using Apple's design principles and the Liquid Glass-era design language from WWDC25/26. Use when asked for a design review, UX critique, visual design assessment, or evaluation of an app's interface quality, design intent, alignment with the new Apple design system, or usability. Triggers: "design review", "UX review", "visual design critique", "review the UI", "does this design work", "evaluate this interface", "design feedback", "Liquid Glass review".
Also in 5 projects that use this
- +1 more from Saqlain-811
- +5 more from ShreyRavi
Other versions51 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 51
- garrytan/gstack★ 141ksame name
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- garrytan/gbrain★ 32ksame name
- vudovn/ag-kit★ 8.2ksame name
- vudovn/antigravity-kit★ 8.2ksame name
- ZhangHanDong/harness-engineering-from-cc-to-ai-coding★ 1.5ksame name
- coreyhaines31/makerskills★ 893same name
- 0xMH/claude-skillify★ 45same name
- Surething-io/cockpit★ 44same name
41 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 44 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Stop. Do not synthesize from chat fragments.
- Distinctive: line 24
If the candidate is a few turns back and the user has since moved on, confirm once: *"The last successful /scrape was '<intent>' a few …
- Distinctive: line 36
Use only the final, working fetch/selector logic that produced the accepted JSON.
- Very specific: line 72
Write the script to /tmp/skillify-<name>-$$.mjs and run it:
“Common” is measured: kept by at least 6 in 10 of the 44 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/skillify — Turn a successful scrape into a reusable scraper
Codify the last good /scrape into a standalone script. The contract: never write a
half-broken scraper to disk. Write to a temp file, run it, and only move it into
scrapers/ on (a) a passing run + (b) explicit user approval. On either failure, the
temp file is removed. There is no "almost shipped" state.
Step 1 — Provenance guard
Walk back through the conversation, at most 10 turns, for the most recent /scrape
that was bounded (you can identify the intent line and the trailing JSON it produced)
and that the user did NOT invalidate ("that's wrong", "retry"). If none, refuse with
exactly:
"No recent /scrape result found in this conversation. Run /scrape
<intent>first, then say /skillify." Stop. Do not synthesize from chat fragments. Do not skillify a scrape that came from an already-saved scraper (Step 3 of /scrape) — there's nothing new to codify.
If the candidate is a few turns back and the user has since moved on, confirm once:
"The last successful /scrape was '<intent>' a few turns back. Skillify that one?"
A "yes" continues; anything else refuses with the message above.
Step 2 — Propose name
From the intent, derive a short name: lowercase letters/digits/dashes, ≤32 chars,
starts with a letter, no consecutive dashes (e.g. hn-frontpage, pypi-stats). Check
scrapers/manifest.json for a name collision; if it exists, propose a distinct name.
Confirm the name with the user (AskUserQuestion), with the proposed name as the
recommended option.
Step 3 — Synthesize the script
Use only the final, working fetch/selector logic that produced the accepted JSON. Drop failed selector attempts, unrelated commands, and all conversation prose. Keep the parsing in a pure function so it's testable without the network.
// scrapers/<name>.mjs — reusable, self-contained
const TARGET_URL = '<the URL the prototype used>';
// Pure: HTML in, parsed rows out. No fetch here.
export function parse(html) {
const items = [];
// ...the working extraction logic...
return items;
}
async function getHtml(url) {
// Path A (static): plain fetch — use when /scrape succeeded via WebFetch.
const r = await fetch(url, { headers: { 'user-agent': 'Mozilla/5.0 scrape-bot' } });
return await r.text();
// Path B (JS-rendered): if the prototype needed Playwright, replace the body with:
// const { chromium } = await import('playwright');
// const b = await chromium.launch(); const p = await b.newPage();
// await p.goto(url, { waitUntil: 'networkidle', timeout: 30000 });
// const html = await p.content(); await b.close(); return html;
}
if (import.meta.url === `file://${process.argv[1]}`) {
const html = await getHtml(TARGET_URL);
const items = parse(html);
process.stdout.write(JSON.stringify({ items, count: items.length }) + '\n');
}Pick Path A or B to match what the original /scrape actually used. Keep the same JSON shape the user accepted.
Step 4 — Stage + test (in temp, never in place)
Write the script to /tmp/skillify-<name>-$$.mjs and run it:
node /tmp/skillify-<name>-$$.mjs(For Path B, npx -y playwright@latest /tmp/skillify-<name>-$$.mjs so the browser resolves.)
The run passes only if it exits 0 AND prints JSON with count > 0 and the same shape as
the accepted scrape. If it fails: report what broke, delete the temp file, and stop —
do NOT write anything to scrapers/.
Step 5 — Approval gate
Show the user the staged script and a sample of its output. Ask (AskUserQuestion):
save to scrapers/<name>.mjs / rename / discard. Only on an explicit save:
Step 6 — Commit to disk (atomic)
mkdir -p scrapers
mv /tmp/skillify-<name>-$$.mjs scrapers/<name>.mjsAppend to scrapers/manifest.json (create {"scrapers":[]} if absent) an entry:
{ "name": "<name>", "intent": "<intent line>", "url": "<TARGET_URL>", "triggers": ["<paraphrases>"] }
so a future /scrape with a matching intent finds and runs it (Step 3 of /scrape).
Step 7 — Confirm
Tell the user: scrapers/<name>.mjs saved; next time say /scrape <intent> or run
node scrapers/<name>.mjs directly.
Honest limits
- A saved scraper breaks when the target page's markup changes — re-run /scrape + /skillify to refresh it.
- It captures the final working logic only; it is not a general crawler.
- Pages with anti-bot defenses or auth are out of scope (so is anything /scrape refused).
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