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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 8 ore
45.098 de skill-uri
- molykitsickn33/agentic-awesome-skillsCRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLMAlteleFără avertismente★ 48,5 K↓ —
- php-prosickn33/agentic-awesome-skillsWrite idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.RedactareFără avertismente★ 48,5 K↓ —
- vision-sftwshobson/agentsFine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.MediaFără avertismente★ 41,7 K↓ —
- sql-optimizationgithub/awesome-copilotUniversal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.DateFără avertismente★ 40,4 K↓ —
- cloud-logging-query-generationgoogle/skillsGenerates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.OficialDateFără avertismente★ 21,6 K↓ —
- lookdevsickn33/agentic-awesome-skillsHuman-in-the-loop web studio to tune AI-generated output by eye. Stand up a local interactive studio (sliders, pickers, drag handles) or an inline edit/highlight/comment annotation studio for prose & media, instead of guessing values or shipping a static comparison grid.RedactareFără avertismente★ 48,5 K↓ —
- llm-opssickn33/agentic-awesome-skillsLLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.AlteleFără avertismente★ 48,5 K↓ —
- lemmalysickn33/agentic-awesome-skillsAlgorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.RedactareFără avertismente★ 48,5 K↓ —
- hadswshobson/agentsUse when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.RedactareFără avertismente★ 41,7 K↓ —
- jenkinssickn33/agentic-awesome-skillsCreate and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds.DevOpsFără avertismente★ 48,5 K↓ —
- nft-standardswshobson/agentsImplement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.AlteleFără avertismente★ 41,7 K↓ —
- inngestsickn33/agentic-awesome-skillsInngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.AlteleFără avertismente★ 48,5 K↓ —
- postgresql-optimizationgithub/awesome-copilotPostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.DateFără avertismente★ 40,4 K↓ —Apare și în 1 alt depozit
- jev-usesickn33/agentic-awesome-skillsRoute enumerable judgment steps - did it work, which option, how risky, is this safe to run - to the Jev judgment model through the jev_judge and jev_gate MCP tools, batched into one call per state.AlteleFără avertismente★ 48,5 K↓ —
- web-component-designwshobson/agentsMaster React, Vue, and Svelte component patterns including CSS-in-JS, composition strategies, and reusable component architecture. Use when building UI component libraries, designing component APIs, or implementing frontend design systems.DesignFără avertismente★ 41,7 K↓ —
- gcp-gkesickn33/agentic-awesome-skillsDeploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.DevOpsFără avertismente★ 48,5 K↓ —
- dataset-curationwshobson/agentsPrepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.RedactareFără avertismente★ 41,7 K↓ —
- quantized-exportwshobson/agentsExport a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.TestareFără avertismente★ 41,7 K↓ —
- mobile-android-designwshobson/agentsMaster Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.DesignFără avertismente★ 41,7 K↓ —
- falsifysickn33/agentic-awesome-skillsThe scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.ȘtiințăFără avertismente★ 48,5 K↓ —
- deepapisickn33/agentic-awesome-skillsUse DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.BrowserFără avertismente★ 48,5 K↓ —
- gem-devops-guidelinesgithub/awesome-copilotDesign or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows. Use for DevOps, platform, container, pipeline, or release tasks.DevOpsFără avertismente★ 40,4 K↓ —
- before-you-buildwshobson/agentsPre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.DesignFără avertismente★ 41,7 K↓ —
- yes-mdsickn33/agentic-awesome-skills6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.InginerieFără avertismente★ 48,5 K↓ —
dotnet-mcp-builder
github/awesome-copilot
DevOpsActualizat acum 22 de ore
De la autor
Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wrong without guidance — stale versions (0.x preview or 1.x-era defaults), the v2 stateless-by-default HTTP flip, the 2026-07-28 spec deprecations (roots/sampling/logging), MCP Apps and Tasks extension packages, elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging MapMcp / STDIO / Streamable-HTTP errors. Also covers STDIO and Streamable HTTP transports (SSE is deprecated), tools, prompts, resources, completions, and a basic .NET MCP client. Trigger when the user says or implies any .NET MCP server work: ModelContextProtocol, McpServerTool, MapMcp, WithStdioServerTransport, "MCP server in C#", "MCP tool in dotnet", "expose this as MCP", or names a primitive (prompt/resource/elicitation/MCP App) in a .NET context. Skip for MCP work in other languages.
Instalare
npx skills add github/awesome-copilot --skill dotnet-mcp-builder -a claude-code
Se instalează în .claude/skills/dotnet-mcp-builder/ · 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
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De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție71
Fișiere (14)
- SKILL.md
- references/client.md
- references/elicitation.md
- references/mcp-apps.md
- references/packages.md
- references/prompt-primitive.md
- references/resource-primitive.md
- references/roots.md
- references/sampling.md
- references/server-features.md
- references/testing.md
- references/tool-primitive.md
- încă 2