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.
6.040 de skill-uri din 156 de depozite · actualizat acum 13 minute
771 de skill-uri
- crewaisickn33/agentic-awesome-skillsExpert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.AlteleFără avertismente★ 48,2 K↓ —
- hunt-atosickn33/agentic-awesome-skillsHunt account takeover taxonomyAlteleFără avertismente★ 48,2 K↓ —
- paypal-integrationwshobson/agentsIntegrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.AlteleFără avertismente★ 41,4 K↓ —
- projection-patternswshobson/agentsBuild read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.AlteleFără avertismente★ 41,4 K↓ —
- eval-harness-firstwshobson/agentsBuild the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.AlteleFără avertismente★ 41,4 K↓ —
- vpn-setupsickn33/agentic-awesome-skillsConfigure WireGuard, OpenVPN, and cloud VPNs. Implement secure remote access and site-to-site connectivity. Use when setting up secure network tunnels.AlteleFără avertismente★ 48,2 K↓ —
- unity-ecs-patternswshobson/agentsMaster Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.AlteleFără avertismente★ 41,4 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★ 41,4 K↓ —
- checkpoint-promotionwshobson/agentsGate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.AlteleFără avertismente★ 41,4 K↓ —
- clerk-authsickn33/agentic-awesome-skillsExpert patterns for Clerk auth implementation, middleware, organizations, webhooks, and user syncAlteleFără avertismente★ 48,2 K↓ —
- crossframesickn33/agentic-awesome-skillsUse when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions, public disputes, or long-term evolution.AlteleFără avertismente★ 48,2 K↓ —
- spark-environment-setupwshobson/agentsSet up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.AlteleFără avertismente★ 41,4 K↓ —
- finetuning-method-selectionwshobson/agentsDecide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.AlteleFără avertismente★ 41,4 K↓ —
- 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★ 48,2 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★ 48,2 K↓ —
- beatrasickn33/agentic-awesome-skillsInstall and use the official AI Media Generator package, pinned by digest, for paid hosted work on the Beatra service.AlteleFără avertismente★ 48,2 K↓ —
- inngestsickn33/agentic-awesome-skillsInngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers.AlteleFără avertismente★ 48,2 K↓ —
- risk-metrics-calculationwshobson/agentsCalculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.AlteleFără avertismente★ 41,4 K↓ —
- axiomsickn33/agentic-awesome-skillsFirst-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English.AlteleFără avertismente★ 48,2 K↓ —
- taaskysickn33/agentic-awesome-skillsNegotiate terms with another person or their agent through the hosted Taasky MCP server: meeting times, prices, dates. The human confirms every accept, reject or withdraw.AlteleFără avertismente★ 48,2 K↓ —
- graphqlsickn33/agentic-awesome-skillsGraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server.AlteleFără avertismente★ 48,2 K↓ —
- teachsickn33/agentic-awesome-skillsTeach the user a new skill or concept, within this workspace.AlteleFără avertismente★ 48,2 K↓ —
- 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★ 48,2 K↓ —
- similarity-search-patternswshobson/agentsImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.AlteleFără avertismente★ 41,4 K↓ —