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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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 2 ore
49.409 skill-uri
- run-organic-social-account-auditgooseworks-ai/goose-skillsReviews a brand's own social accounts: what each is for, the last ~30 posts ranked against the account's own median with the likely reason for top and bottom posts, cadence actually kept, best posting times, and bio and pinned-post fixes. Use alone when you already know which accounts to review and can read their posts; otherwise run run-organic-social.InginerieFără avertismente★ 1,3 K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OficialDevOpsFără avertismente★ 11,3 K↓ —
- goose-graphics-create-stylegooseworks-ai/goose-skillsEnd-to-end skill that turns a single reference image into a published Gooseworks style — analyzes the image, drafts the slim style spec, renders a hero example plus 2-3 additional formats via Playwright, writes the `gooseworks-style.json` manifest, and publishes via `npx gooseworks styles publish` so other agents can discover it. Mirrors goose-graphics-create-format but for styles.TestareFără avertismente★ 1,3 K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 K↓ —
- where-to-start-situation-savegooseworks-ai/goose-skillsStep of the where-to-start playbook: saves the founder's answers and the agreed first move with the brand, so later visits and other playbooks don't ask again. Run where-to-start instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- add-oneclinanocoai/nanoclawInstall or refresh OneCLI as NanoClaw's gateway provider. Use when setup selects OneCLI, an existing OneCLI-backed install is migrated to the gateway seam, or its runtime, approval bridge, setup, and agent guidance must be restored from the in-tree package.AlteleFără avertismente★ 31,1 K↓ —
- render-stopmotion-hand-swatch-cyclegooseworks-ai/goose-skillsAssemble a stop-motion hand-swatch-cycle product-demo ad from a config — a sequence of still PLATES (one hand swiping a single-barrel product across a test surface, the barrel + swatch changing per plate while the hand, background, crop, and lighting stay locked) is PNG→mp4 loop-encoded at each plate's own stop-motion hold (fast motion frames 150–250ms, per-shade ~380ms, hero beats 1100–1800ms), concat-demuxed with HARD cuts into a silent master, closed on a Playwright HTML-rendered branded end card (serif tagline + sans subtitle + real logo SVG over a hero BG, never AI-rendered text), and muxed with a pre-sourced music track playing under the end card with a fade tail (no VO). This is the FREE deterministic assembly stage (loop-encode + concat-demux + end-card render + music mux); the master-anchor plate, shade plates, and end-card BG come from create-image-gpt-image-fal and the track from create-music-elevenlabs. Use for the stopmotion-hand-swatch-cycle format.MediaFără avertismente★ 1,3 K↓ —
- render-narrated-ugc-wardrobe-stitchgooseworks-ai/goose-skillsAssemble a narrated-UGC "stitch reply" ad from a config: one voiceover carries a verbatim testimonial while about 30 short clips (one creator across about 5 outfits and 3 settings, plus product B-roll) are trimmed to windows cut from the voiceover's word timings and joined. The voiceover sits over a ducked music bed, word-by-word captions run throughout, a landing-page scroll is animated from a screenshot, and the brand's real end card closes it (never AI-rendered text). Free, deterministic assembly using the shared stitch-videos-ffmpeg helper; the voiceover, creator stills and clips come from create-vo-elevenlabs, create-image-gpt-image-fal, create-image-fal and create-video-fal. Use for the narrated-ugc-wardrobe-stitch format.MediaFără avertismente★ 1,3 K↓ —
- add-datasourcemicrosoft/power-platform-skillsUse when adding an unspecified data source to an Expo/React Native Power Apps mobile app; routes to Dataverse, SharePoint, or another connector.InginerieFără 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↓ —
- blueprinthashgraph-online/awesome-codex-pluginsTurn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".PlanificareFără avertismente★ 1,5 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↓ —
- 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↓ —
- report-issuemicrosoft/power-platform-skillsUse when the user wants a Process Intelligence bug-report draft or support summary for a failed operation.ProductivitateFără avertismente★ 1,1 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↓ —
- redis-searchredis/agent-skillsRedis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with filters, sorting, aggregation, or vector KNN, tuning HNSW parameters, building a RAG retrieval pipeline, or troubleshooting slow or empty search results.OficialDesignFără avertismente★ 172↓ —Apare și în 1 alt depozit
- 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↓ —
- cloudbase-miniprogramNouTencentCloudBase/CloudBase-AI-ToolkitUse when building a WeChat Mini Program (微信小程序 / 小程序) with a real backend on 腾讯云开发 CloudBase — from an idea to a published release. Triggers on: 小程序, 微信小程序, wx.cloud, 云开发, 云函数, 数据库, 集合, 云存储, 上传图片, 登录, openid, 订阅消息, 支付, 体验版, 预览, 上传代码, 提交审核, 发布, 合法域名, 真机调试, 分包. Covers project scaffolding, project.config.json / appid / miniprogramRoot, the wx.cloud data path, cloud functions, storage, auth, subscription messages, and the preview → upload → review → release chain. Do NOT use for Web/H5 frontends (use a web skill), pure backend services, or mini programs that do not use CloudBase.InginerieFără avertismente★ 1,2 K↓ —
- redis-semantic-cacheredis/agent-skillsRedis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.OficialInginerieFără avertismente★ 172↓ —Apare și în 1 alt depozit
- auto-researchdzhng/skillsRun fast, progressive experiments to map tunable parameters and their effects. Use when optimizing code, prompts, configurations, or other artifacts against a goal or benchmark, or when a long research run needs a planned hypothesis queue, focused trials, and durable findings.ȘtiințăFără avertismente★ 1,4 K↓ —
- fleet-runshoangsonww/Claude-Code-Agent-MonitorSummarize Workflow-tool fleet runs from the Agent Monitor — these fleets emit no hooks and are ingested from on-disk run journals. List recent runs with status and agents-per-run, then drill into a single run's per-agent detail. Reconciles against the live run-state endpoints. Use when reviewing Workflow() fleets rather than hook-instrumented interactive sessions.ProductivitateFără avertismente★ 1,1 K↓ —
- cinematic-shotdzhng/skillsShoot software UI like a film. A sequence of hero shots, each a steep, oblique, extreme close-up of the interface floating in black, with a razor-thin focal plane, a slow motivated camera drift, and UI that acts on its own, hard-cut on the action, ending on one line of copy and a still logo. Use when asked for a launch video, product film, feature trailer, teaser, promo clip, hero shot, or any "cinematic" footage of an app or UI. This skill covers camera, framing, light, and edit. It is stack-agnostic.DesignFără avertismente★ 1,4 K↓ —
sosp-submission
brycewang-stanford/Awesome-Journal-Skills
ȘtiințăActualizat 27 sept. 2026
De la autor
Use when auditing a SOSP submission for HotCRP readiness, covering the abstract-registration and full-paper deadlines, the 12-page technical-content limit with references excluded, the 7x9-inch two-column format, double-blind rules with paper-ID substitution, conflict declaration under PC-chair audit, and desk-reject triage.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-submission -a claude-code
Se instalează în .claude/skills/sosp-submission/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
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- SKILL.md