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.
49.399 de skill-uri din 2.375 de depozite · actualizat acum 43 de minute
48.352 de skill-uri
- 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↓ —
- 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
- 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
- add-pdf-viewermicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for native PDF control workflows. Handles HTTPS and file URI PDF viewing with @microsoft/power-apps-native-pdf-viewer 0.2.9+.DocumenteFără avertismente★ 1,1 K↓ —
- huggingface-tool-builderhuggingface/skillsUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.OficialInginerieFără avertismente★ 11,3 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- agentlas-stormagentlas-ai/Agentlas-OSUse when the user types /agentlas-storm, /agentlas storm, /hep-storm, or says @Hephaestus storm <goal> to drive a goal through the force-robust Stormbreaker loop with real Agentlas specialists.PlanificareFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- release-runbookamplifthq/openmeldUse when asked to deploy, release, publish, or ship OpenMeld to production — workers, Web, CLI, or local components. Routes to `pnpm run deploy`; never deploy raw.DevOpsFără avertismente★ 1,4 K↓ —
- oma-debugfirst-fluke/oh-my-agentBug diagnosis and fixing specialist - analyzes errors, identifies root causes, provides fixes, and writes regression tests. Use for bug, debug, error, crash, traceback, exception, and regression work.InginerieFără avertismente★ 1,4 K↓ —
- mcp-case-overridesalibaba/skill-upPer-case mocked MCP override smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- sdd-riperalibaba/skill-upSDD-RIPER workflow executor with phase gatingProductivitateFără avertismente★ 1,4 K↓ —
- app-icondaveebbelaar/bamaLiquid Glass macOS app icon made as an Icon Composer file (Icon/AppIcon.icon, JSON plus SVG layers), compiled with actool, and reviewed in every look with ictool. Use when the user wants an app icon, a better icon, or a Dock icon.AlteleFără avertismente★ 1,5 K↓ —
- design-kitdaveebbelaar/bamaCustom design system for a macOS SwiftUI app with its own parts, not Apple's, covering three token layers, type, an icon set, every part in every state, custom window chrome, a parts gallery, and checks. Use when the user wants the app to have its own look and feel, a brand, or custom buttons, rows, and sidebars, when design-from-app has measured a reference app, or when the user asks for a design system or component library.DesignFără avertismente★ 1,5 K↓ —
- improve-loopdaveebbelaar/bamaAutonomous loop that works through docs/STORIES.md one story at a time for a macOS app, building, snapshotting, comparing against reference screenshots, fixing, and committing, until a milestone is done. Use when the user says "keep going", "work through the backlog", "make it match the reference", or wants an unattended improvement loop.AlteleFără avertismente★ 1,5 K↓ —
- commit-craftNoualirezarezvani/claude-skillsTurn a mix of changes into clean, reviewable commits with good messages, blocking staged secrets and .env files. Use whenever the user says commit this, wants to split work into commits, write a commit message, or is about to push.InginerieFără avertismente★ 29,2 K↓ —
- competitor-ad-intelligencegooseworks-ai/goose-skillsScrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.MarketingFără avertismente★ 1,3 K↓ —
- coding-agent-rolloutActualizatalirezarezvani/claude-skillsRoll out Claude Code to a team: shared or managed settings, MCP and plugin approval, layered CLAUDE.md, adoption. Use whenever the user sets up Claude Code for their team or org, or asks if a rollout or settings file is right.InginerieFără avertismente★ 29,2 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↓ —
- 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↓ —
- oma-recapfirst-fluke/oh-my-agentAnalyze conversation histories from multiple AI tools (Claude, Codex, Gemini, Qwen, Cursor) and generate themed daily/period work summaries. Filter by date or time window.ProductivitateFără avertismente★ 1,4 K↓ —
- oma-imagefirst-fluke/oh-my-agentMulti-vendor AI image generation with authentication-aware parallel dispatch. Routes to Codex (gpt-image-2 via ChatGPT OAuth) and Pollinations (flux/zimage, free with signup). Gemini provider is present but disabled by default (requires billing). Use for image generation, image creation, visual asset generation, and AI art.MediaFără avertismente★ 1,4 K↓ —
- sno-mem-claudesno-ai/sno-stationUse Sno memory from Claude through four explicit commands.ProductivitateFără avertismente★ 1,1 K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivitateFără avertismente★ 1,1 K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestareFără avertismente★ 1 K↓ —
unity-agent-workflows
hashgraph-online/awesome-codex-plugins
DesignActualizat acum 15 ore
De la autor
Use for AI-assisted Unity work that needs live repo discovery, project-derived routing, runtime-owner proof, runtime-visible output hard stops, runtime numeric proof for repeated visible-output failures, state-step guards, multi-agent scope ownership, modular C#/asmdef safety, UI/scene/visual asset gates, data-first content changes, validation, cleanup proof, or durable workflow rules. Best when agents must prove the actual folder/module/scene/prefab/runtime owner before editing, especially runtime UI, generated assets, code graphs, tutorial/state flows, guided selection/action flows, overlay/dim source-bound mistakes, coordinate conversions, focus/highlight/marker/HUD alignment, predictive lead aiming, ballistic trajectories, spatial IoU verification, or repeated "fix still not visible" failures.
Instalare
npx skills add hashgraph-online/awesome-codex-plugins --skill unity-agent-workflows -a claude-code
Se instalează în .claude/skills/unity-agent-workflows/ · 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
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (32)
- .agents/plugins/marketplace.json
- .codex-plugin/plugin.json
- .codexignore
- LICENSE
- README.md
- SECURITY.md
- SKILL.md
- assets/unity-workflows.png
- package.json
- skills/unity-agent-workflows/SKILL.md
- skills/unity-agent-workflows/agents/openai.yaml
- skills/unity-agent-workflows/references/ai-workflows.md
- încă 20