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.
38.727 de skill-uri din 1.780 de depozite · actualizat acum 3 minute
38.727 de skill-uri
- code-mate-qwen-codeCherryHQ/cherry-studioRun Qwen Code non-interactively for coding tasks. Use when the user asks to delegate work to Qwen Code.InginerieFără avertismente★ 52,9 K↓ —
- code-mate-kimi-codeCherryHQ/cherry-studioRun Kimi Code non-interactively for coding tasks. Use when the user asks to delegate work to Kimi Code.InginerieFără avertismente★ 52,9 K↓ —
- code-mate-opencodeCherryHQ/cherry-studioRun OpenCode non-interactively for coding tasks. Use when the user asks to delegate work to OpenCode.InginerieFără avertismente★ 52,9 K↓ —
- simpo-trainingOrchestra-Research/AI-Research-SKILLsSimple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.AlteleFără avertismente★ 13,9 K↓ —
- azure-enterprise-infra-plannermicrosoft/skillsArchitect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.OficialDevOpsFără avertismente★ 3,1 K↓ —Apare și în 2 alte depozite
- cost-estimationmicrosoft/skillsForecast Azure spend and price planned resources or workloads. WHEN: "forecast Azure spending", "project next month cost", "compare forecast to my planning target", "how much will Azure cost", "estimate VM cost", "compare storage tiers", "compare Azure regions", "retail price", "EA rate card", "negotiated pricesheet". DO NOT USE FOR: configured budget health or alerts, bill analysis, cost spikes, rightsizing, or commitments.OficialDevOpsFără avertismente★ 3,1 K↓ —Apare și în 1 alt depozit
- code-mate-openclawCherryHQ/cherry-studioRun the local OpenClaw agent non-interactively. Use when the user asks to delegate a bounded task to OpenClaw.InginerieFără avertismente★ 52,9 K↓ —
- code-mate-hermesCherryHQ/cherry-studioRun Hermes Agent non-interactively for local coding tasks. Use when the user asks to delegate work to Hermes.InginerieFără avertismente★ 52,9 K↓ —
- agent-platform-migrate-from-ai-studiogoogle/skillsGuides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).OficialDevOpsFără avertismente★ 21,5 K↓ —
- code-mate-geminiCherryHQ/cherry-studioRun Gemini CLI non-interactively for coding tasks. Use when the user asks to delegate work to Gemini.InginerieFără avertismente★ 52,9 K↓ —
- fine-tuning-serving-openpiOrchestra-Research/AI-Research-SKILLsFine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.InginerieFără avertismente★ 13,9 K↓ —
- code-mate-piCherryHQ/cherry-studioRun Pi non-interactively for repository tasks. Use when the user asks to delegate analysis or implementation to Pi.InginerieFără avertismente★ 52,9 K↓ —
- cherry-regression-testCherryHQ/cherry-studioRun Cherry Studio critical-path system regression tasks through the repository-owned Playwright E2E workflow. Use for full regression, release acceptance, development-branch system validation, or a named cherry-regression-test task on GitHub-hosted macOS and Windows runners.TestareFără avertismente★ 52,9 K↓ —
- find-simplificationsCherryHQ/cherry-studioUse when asked to find or plan Cherry Studio cleanup, simplification, refactoring, dead-code removal, duplicated state removal, unnecessary APIs, speculative generality, or library replacements, especially when the result should become evidence-backed proposed Agent Notes.PlanificareFără avertismente★ 52,9 K↓ —
- cherry-tool-guideCherryHQ/cherry-studioCherry tool routing: bun, uv, rg, knowledge, memory, schedules, skills, MCP, web. Read before shell workarounds.ProductivitateFără avertismente★ 52,9 K↓ —
- verl-rl-trainingOrchestra-Research/AI-Research-SKILLsProvides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.DevOpsFără avertismente★ 13,9 K↓ —
- cherry-electron-devCherryHQ/cherry-studioDevelop, fix, profile, and test PRs in a tracked Cherry Studio Electron instance. Use for implementation, UI and interaction work, runtime debugging, DevTools inspection, performance analysis, and interactive PR verification with a test report. Reuse a verified workspace instance and manage its lifetime according to the selected workflow.TestareFără avertismente★ 52,9 K↓ —
- gguf-quantizationOrchestra-Research/AI-Research-SKILLsGGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.DevOpsFără avertismente★ 13,9 K↓ —
- gptqOrchestra-Research/AI-Research-SKILLsPost-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.DevOpsFără avertismente★ 13,9 K↓ —
- cherry-computerCherryHQ/cherry-studioDrive native apps via Computer Use: open, inspect, type, click, screenshot. Needs OS permissions; respect user stop.AlteleFără avertismente★ 52,9 K↓ —
- cherry-browserCherryHQ/cherry-studioControl the user's visible Agent browser: navigate, click, type, screenshot, debug. Needs the Browser setting.BrowserFără avertismente★ 52,9 K↓ —
- llavaOrchestra-Research/AI-Research-SKILLsLarge Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.MediaFără avertismente★ 13,9 K↓ —
- llamaindexOrchestra-Research/AI-Research-SKILLsData framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.PlanificareFără avertismente★ 13,9 K↓ —
- prepare-releaseCherryHQ/cherry-studioPrepare a new release by collecting commits, generating bilingual release notes, updating version files, and creating a release branch. Use when asked to prepare/create a release, bump version, or run `/prepare-release`.ProductivitateFără avertismente★ 52,9 K↓ —
azure-communication-sms-java
microsoft/skills
OficialDevOpsActualizat ieri
De la autor
Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.
Instalare
npx skills add microsoft/skills --skill azure-communication-sms-java -a claude-code
Se instalează în .claude/skills/azure-communication-sms-java/ · 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 93
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție56
Fișiere (2)
- SKILL.md
- references/examples.md