Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 3 ore
49.492 de skill-uri
- run-paid-campaigns-health-gategooseworks-ai/goose-skillsChecks that ads are safe to spend on: conversion tracking recording, landing pages loading on mobile with the right product, price and offer, enough stock behind promoted products, no disapproved ads, and no account or payment stop. Marks each pass, fail or unknown and turns fails into fixes. Use alone when you already have the live or planned ads and their landing pages; otherwise run run-paid-campaigns.FinanțeFără avertismente★ 1,3 K↓ —
- make-content-two-pass-editgooseworks-ai/goose-skillsEdits an existing draft in order: a substance pass (arguable thesis, swap test, fakes removed, CTA fit), a claims and fact check that cuts or softens unproven lines, a readability and voice-match pass, then an AI-tell sweep, with an edit note listing open gaps. Use alone when you already have a finished draft and the brand's voice samples and approved claims; otherwise run make-content.RedactareFără avertismente★ 1,3 K↓ —
- oma-coordinationNoufirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanificareFără avertismente★ 1,4 K↓ —
- render-creator-pip-listiclegooseworks-ai/goose-skillsAssemble a creator picture-in-picture product-listicle ad from a config. The creator stays full-frame for every beat (voice and lips generated together), and each product beat carries three overlays for the whole beat: a title pill, the product demo in a rounded picture-in-picture window (the brand's muted UGC clip, or its UI still or screen recording), and a product card with thumbnail, number, category and name. Hook and CTA beats show the creator with the title pill only. It builds one overlay image per beat, composites it on the creator clip, concatenates the beats and burns timed captions last. Free, deterministic assembly; the creator anchor and talking clips come from create-image-fal and create-video-fal. Use for the creator-pip-listicle format.MediaFără avertismente★ 1,3 K↓ —
- make-content-content-briefgooseworks-ai/goose-skillsWrites a one-page content brief before any draft: audience, intent, the one arguable point, what top results already say and what this piece adds, an outline, a proof inventory with gaps marked, voice, CTA and banned words, checked against six gates. Use alone when you already have the topic, format, audience and destination and want only the brief; otherwise run make-content.RedactareFără avertismente★ 1,3 K↓ —
- mcp-oauth-triagealirezarezvani/claude-skillsUse when an MCP connector that used to authenticate now fails (tool calls 401 after a good token exchange, breaks after refresh, returns another account's data), before changing code. Classifies the fault with oauth_triage.py.InginerieFără avertismente★ 29,3 K↓ —
- build-and-verifydaveebbelaar/bamaBuild a SwiftUI macOS app from the command line, install it, and check light and dark window snapshots of every page before calling a change done. Use after any UI code change, when a build fails, or when the user asks to run, screenshot, or check the app.DesignFără avertismente★ 1,5 K↓ —
- kr-work-reportmohitagw15856/pm-claude-skillsUse when asked 보고서 써 줘, 주간보고 작성해 줘, 개조식으로 정리해 줘, 팀장님께 보고할 내용 정리, 1페이지 보고서, 업무 보고서 양식, or write a Korean business report or weekly report. Produces a Korean workplace report in 개조식 and 두괄식 style: a one-line conclusion, then 현황, 문제점, 대안 비교, 건의사항 and 향후 계획 for a 보고서, or 금주 실적, 차주 계획 and 이슈 및 협조 요청 for a 주간보고, with consistent noun-form endings, numbers and owners, plus a short verbal briefing version.RedactareFără avertismente★ 1,5 K↓ —
- relay-80-100-workflowAgentWorkforce/relayUse when writing agent-relay workflows that must fully validate features end-to-end before merging. Covers the 80-to-100 pattern - going beyond "code compiles" to "feature works, tested E2E locally." Includes repair-before-failure validation gates, review-depth fresh-eyes review/fix loops with test hardening, PGlite for in-memory Postgres testing, mock sandbox patterns, test-fix-rerun loops, verify gates after every edit, and the full lifecycle from implementation through passing tests to commit.ProductivitateFără avertismente★ 1,1 K↓ —
- research-audience-people-and-contactsgooseworks-ai/goose-skillsFor a list of companies, picks 1-3 current people per company in different buying roles, confirms each title with a dated source, finds a public contact route, labels email status honestly and flags regions with contact rules. Never contacts anyone. Use alone when you already have a vetted company list and the buyer titles; otherwise run research-audience.ȘtiințăFără avertismente★ 1,3 K↓ —
- goose-graphics-create-formatgooseworks-ai/goose-skillsCreates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.DocumenteFără avertismente★ 1,3 K↓ —
- make-static-ads-copy-variantsgooseworks-ai/goose-skillsStep of the make-static-ads playbook: after an image is approved, makes more versions of the same picture with different hooks, headlines or fonts by a quoted re-render with the approved render attached as the brand's own image, so copy can be tested without new visuals. Offered, never default. Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- make-static-ads-claims-extractgooseworks-ai/goose-skillsStep of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- releasehyhmrright/brooks-lintCut a brooks-lint release: set the version in package.json, propagate it across all four plugin manifests and every version-bearing text file (README badges, docs site metadata), write the CHANGELOG entry, validate, then commit, push, tag, and publish the GitHub release. Triggers when the maintainer asks to "release", "cut a release", "ship a new version", or "bump and publish" brooks-lint. Do NOT trigger for: propagating an already-decided version without releasing (use `npm run bump` directly), CHANGELOG edits alone, or questions about the release process that don't ask to perform it.RedactareFără avertismente★ 1,6 K↓ —
- make-content-source-to-unitsgooseworks-ai/goose-skillsStep of the make-content playbook: mines one finished asset into scored quotable units and maps a different lead unit to each platform. Run make-content instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- plan-campaign-goal-chaingooseworks-ai/goose-skillsChecks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign.MarketingFără avertismente★ 1,3 K↓ —
- oma-dbfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DateFără avertismente★ 1,4 K↓ —
- render-flat-vector-explainergooseworks-ai/goose-skillsAssemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO drives word-by-word burned captions over a VO-forward music bed, and the ~50s animated silent master is re-cut to a 30s deliverable FROM the animated master (never a static intermediate). Documentation-grade — ships config.example.json + PIPELINE.md + a README of the free assembly; the paid gen steps (keyframes, Kling i2v, VO, music) are separate capabilities the recipe orchestrates. Use for the flat-vector-explainer format.MediaFără avertismente★ 1,3 K↓ —
- baoyu-post-to-wechatJimLiu/baoyu-skillsPosts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".BrowserFără avertismente★ 27,3 K↓ —
- render-editorial-motion-podcastgooseworks-ai/goose-skillsAssemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.MediaFără avertismente★ 1,3 K↓ —
- cavemanalirezarezvani/claude-skillsUltra-short replies that cut tokens about 75% by dropping filler, articles and pleasantries while staying technically accurate. Use whenever the user says caveman mode, talk like caveman, use caveman, less tokens, be brief, too wordy, or invokes /caveman.AlteleFără avertismente★ 29,3 K↓ —
- render-split-screen-creatorgooseworks-ai/goose-skillsAssemble a split-screen creator ad from a config: an AI-creator lip-sync take fills the bottom half while real 16:9 product or demo clips play uncropped in the top half over a blurred fill of the same clip (never black bars), with a brand-colour divider between them. Scenes follow the voiceover timing and are joined hard, an end card holds about 3 seconds, then the finished cut is transcribed and word-level captions are burned in the chosen style. Free, deterministic assembly and captions; the voiceover comes from create-vo-elevenlabs, the creator anchor from create-image-gpt-image-fal, and the lip-sync take is supplied as an input. Use for the split-screen-creator format.MediaFără avertismente★ 1,3 K↓ —
- cloudbase-platformActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase platform overview and routing guide. This skill should be used when users need high-level capability selection, platform concepts, console navigation, realtime (broadcast / presence / live database changes), or cross-platform best practices before choosing a more specific implementation skill.DateFără avertismente★ 1,2 K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.AlteleFără avertismente★ 1 K↓ —
donor-update
mohitagw15856/pm-claude-skills
De la autor
Write a warm donor update or stewardship message that makes a supporter feel their gift mattered. Use when asked to write a donor update, a thank-you/stewardship email, a supporter newsletter, or a gift acknowledgement. Produces a donor-centred update — sincere thanks, the specific impact of their support, a brief story, and a light, optional next step — that strengthens the relationship and sets up the next gift.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill donor-update -a claude-code
Se instalează în .claude/skills/donor-update/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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