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.
46.100 de skill-uri din 2.198 de depozite · actualizat acum 1 oră
9.541 de skill-uri
- lov-media-selectionlovstudio/skills比较媒体候选的剪辑版本、画质、编码、体积、音轨、字幕、活跃度与证据，自动选出最合适版本；适用于“哪个版本最值得下”、"choose the best compact release"。AlteleFără avertismente★ 73↓ —
- consciousness-councilKalarisLabs/research-agent-skillsRun a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.AlteleFără avertismente★ 76↓ —
- configuring-block-policymatlab/simulink-agentic-toolkitGuide users through creating and managing .satk/block-policy.json for controlling which blocks the agent can use, which are excluded, and which block parameters the agent should not modify. Use when setting up block usage policy for a project.AlteleFără avertismente★ 1,3 K↓ —
- simulink-frequency-responsematlab/simulink-agentic-toolkitEstimate frequency response from Simulink models using frestimate. Use when frequency response should be obtained from simulation rather than model linearization.AlteleFără avertismente★ 1,3 K↓ —
- faissKalarisLabs/research-agent-skillsFacebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.AlteleFără avertismente★ 76↓ —
- mlflowKalarisLabs/research-agent-skillsTracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow.log_param, log_metric and log_artifact, autologging for scikit-learn, PyTorch Lightning, XGBoost and HuggingFace Transformers, the Model Registry with versions and stage transitions, run searching, and local or cloud model serving. Use when logging parameters, metrics and artifacts for training runs, comparing runs across experiments, registering and promoting model versions from Staging to Production, serving a logged model for inference, or reproducing an experiment from an MLflow project. Not for hyperparameter-sweep dashboards or general data versioning; use a dedicated tool for those.AlteleFără avertismente★ 76↓ —
- find-skillsnaveedharri/benai-skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.AlteleFără avertismente★ 76↓ —Apare și în 2 alte depozite
- market-evidence-checkAnil-matcha/awesome-muse-connectorsRead-only OKX public order-book cost and freshness check. Trigger phrases: OKX cost check, order book impact, quote freshness, market evidence check.AlteleFără avertismente★ 1,4 K↓ —
- simulink-linearizematlab/simulink-agentic-toolkitLinearize Simulink models. Use when obtaining linear time invariant or linear parameter varying models from Simulink models.AlteleFără avertismente★ 1,3 K↓ —
- ray-trainKalarisLabs/research-agent-skillsDistributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.AlteleFără avertismente★ 76↓ —
- openweathermapAnil-matcha/awesome-muse-connectorsCurrent weather and 5-day forecast for any city. Trigger phrases: weather, openweathermap, forecast.AlteleFără avertismente★ 1,4 K↓ —
- Axcient ClientsWYRE-AI/msp-claude-pluginsAxcient x360Recover clients: the health_status model, client_code, the three-way protected-system counter breakdown (appliance_based, d2c, cloud_archive), and minting direct-to-cloud agent enrollment tokens.AlteleFără avertismente★ 52↓ —
- muyang-white-coutureyokel1121/muyang-illustration-skills风格包含：柔纱纯白插画、华丽银灰插画。用于收集用户指定的主体和具体风格，将主体原样填入对应固定配方并直接生成图片；不得展示提示词、扩写或改写。AlteleFără avertismente★ 213↓ —
- slime-rl-trainingKalarisLabs/research-agent-skillsProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.AlteleFără avertismente★ 76↓ —
- lock-decisiondrobins25/craftThis skill should be used when the user says "lock it", "go with that", "approved", "that's the standard", or explicitly establishes a project-wide pattern like "from now on all forms should use this approach". Formalizes approved decisions into locked standards that the system enforces going forward. Not needed for story-scoped decisions — only for project-wide patterns.AlteleFără avertismente★ 70↓ —
- Strix•快速扫描asdfgh1445/ctf-super-hubStrix 快速安全评估模式,面向高影响漏洞的限时测试;触发名:strix-quickAlteleFără avertismente★ 840↓ —
- Strix•开放重定向asdfgh1445/ctf-super-hubStrix 开放重定向测试手册,覆盖钓鱼跳转、OAuth 令牌窃取与白名单绕过;触发名:strix-open-redirectAlteleFără avertismente★ 840↓ —
- scenario-roblox-gameplayActualizatscenario-labs/skillsUse when building Roblox gameplay systems: NPC or enemy AI that patrols, chases and attacks, state machines or behavior trees, 'NPC pathfinding stuck', 100 zombies lag the server, hitboxes, melee combos, M1 combat, 'hits register twice', raycasts, Spherecast, Shapecast, guns and projectiles, 'bullets go through walls', knockback and stun, LinearVelocity, VectorForce or AlignPosition movers, replacing BodyVelocity, cars and vehicles with suspension, 'car flips', VehicleSeat, network ownership of NPCs and vehicles, round loops, BindToSimulation logic.AlteleFără avertismente★ 1,2 K↓ —
- model-pruningKalarisLabs/research-agent-skillsReduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.AlteleFără avertismente★ 76↓ —
- qdrant-vector-searchKalarisLabs/research-agent-skillsHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.AlteleFără avertismente★ 76↓ —
- torchforge-rl-trainingKalarisLabs/research-agent-skillsProvides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.AlteleFără avertismente★ 76↓ —
- evaluating-llms-harnessKalarisLabs/research-agent-skillsEvaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.AlteleFără avertismente★ 76↓ —
- ca-add-deparbiterForge/codeArbiterVet a new or changed third-party dependency for license, provenance, and supply-chain risk before any install runs.AlteleFără avertismente★ 149↓ —
- skypilot-multi-cloud-orchestrationKalarisLabs/research-agent-skillsMulti-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.AlteleFără avertismente★ 76↓ —
recall
OutlineDriven/outline-driven-development
AlteleActualizat 28 sept. 2026
De la autor
Use when asked to recover prior work and current status before resuming. Not for handoff snapshots: use handoff. Not for source or remote-system changes.
Instalare
npx skills add OutlineDriven/outline-driven-development --skill recall -a claude-code
Se instalează în .claude/skills/recall/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 82
Securitate100
Proveniență61
Întreținere100
Licență100
Adopție31
Fișiere (2)
- SKILL.md
- agents/openai.yaml