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.
8.489 de skill-uri din 242 de depozite · actualizat acum 2 minute
640 de skill-uri
- yaml-masterjeremylongshore/tons-of-skills-marketplaceExecute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivitateFără avertismente★ 2,9 K↓ —
- agent-patternsjeremylongshore/tons-of-skills-marketplaceExecute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivitateFără avertismente★ 2,9 K↓ —
- sprint-workflowjeremylongshore/tons-of-skills-marketplaceExecute this skill should be used when the user asks about "how sprints work", "sprint phases", "iteration workflow", "convergent development", "sprint lifecycle", "when to use sprints", or wants to understand the sprint execution model and its convergent diffusion approach. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivitateFără avertismente★ 2,9 K↓ —
- notion-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement adaptive Notion request throttling and bounded retry behavior from observed responses. Use when handling 429s, queue pressure, or bursty workloads. Trigger with "handle Notion rate limits", "throttle Notion requests", or "fix Notion 429".ProductivitateFără avertismente★ 2,9 K↓ —
- mini-context-graphgithub/awesome-copilotA persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.ProductivitateFără avertismente★ 40,3 K↓ —
- concealed-actioncisco-ai-defense/skill-scannerConceal an agent action from the user who requested the taskProductivitateFără avertismente★ 2,6 K↓ —
- calendar-sync-helpercisco-ai-defense/skill-scannerSync calendar events with an endpoint selected in configurationProductivitateFără avertismente★ 2,6 K↓ —
- gke-ai-troubleshooting-tpu-vbar-oomgoogle/skillsDiagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM troubleshooting or standard GKE node lifecycle operations.OficialProductivitateFără avertismente★ 21,5 K↓ —
- managed-airflow-recommendationsgoogle/skillsProvides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA; formerly Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Managed Airflow environments, scaling Airflow environments, preventing workload restarts, or analyzing system health. Don't use for troubleshooting individual DAG or task run failures, authoring DAGs, or migrating DAGs to newer Airflow versions.OficialProductivitateFără avertismente★ 21,5 K↓ —
- iam-helper-for-troubleshootinggoogle/skillsDiagnoses, remediates, and manages Identity and Access Management (IAM) access issues on Google Cloud. Supports two distinct operational modes: (1) Requester Flow for developers encountering access denials (capturing error context, self-service PAM JIT activations, elevated developer self-remediation, or logging structured tickets), and (2) Resolver Flow for privileged administrators (authoritative Policy Troubleshooter analysis, deny policy exemptions, least-privilege role discovery, and PAM/IAM provisioning).OficialProductivitateFără avertismente★ 21,5 K↓ —
- unreal-behavior-treesgamedev-skills/awesome-gamedev-agent-skillsBuild NPC AI in Unreal Engine 5 with Behavior Trees and Blackboards: composites (Selector/Sequence), tasks, decorators, services, and running the tree from an AIController. Use when creating enemy/NPC AI, BT_/BB_ assets, custom BTTask or BTService nodes, or when the user mentions Behavior Tree, Blackboard, AIController, BTTask, decorator, or service.ProductivitateFără avertismente★ 2,2 K↓ —
- diarysickn33/agentic-awesome-skillsUnified Diary System: A context-preserving automated logger for multi-project development.ProductivitateFără avertismente★ 48,2 K↓ —
- spark-memory-thermal-opswshobson/agentsManage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.ProductivitateFără avertismente★ 41,4 K↓ —
- okx-aiinternet-court/internet-court-skillERC-8004 Agent identity: 注册/更新/上架/下架/搜索agent, register/update/activate/deactivate/search — User/ASP/Evaluator(买家/卖家/评审员, 旧称仲裁者亦可); 我的agent/ASP, 找做X的ASP/agent有什么服务/endpoint怎么填/查口碑/传头像. + Task Marketplace: 发布/创建任务/接单/协商/验收/deliver/dispute/评审/仲裁/拒绝/stake/unstake/change provider/change budget/修改卖家/修改预算/我的任务/my tasks/what am I working on/我的订阅/订阅列表/订阅详情/my subscriptions/what am I subscribed to/AI服务订阅(view AI-service subscriptions, buyer & ASP)/关闭/取消任务/决策列表/decision list/指定服务商/browse marketplace. + task watch: 监听任务进展/历史消息/未读消息/未决策/outstanding decisions. + device routing: 设备列表/我登录了哪些设备/device list, 本设备或指定设备订阅消息开关. + okx-a2a missing/uninitialized. Match by meaning. MUST ACTIVATE on inbound envelopes: (1) {agentId, message:{source:"system", event, jobId,...}} system event; (2) {msgType:"a2a-agent-chat", jobId, sender:{role},...} agent-to-agent task chat (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.ProductivitateFără avertismente★ 6,8 K↓ —
- pytdcK-Dense-AI/scientific-agent-skillsProvides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.ProductivitateFără avertismente★ 53,4 K↓ —
- verified-emailandroid/skillsProvides a complete workflow for implementing verified email retrieval on Android Credential Manager API. Use this skill to integrate a secure, OTP-less email verification flow into an Android app. This skill solves the problem of high-friction sign-up processes by leveraging cryptographically verified credentials from trusted providers like Google.OficialProductivitateFără avertismente★ 9,1 K↓ —
- unreal-enhanced-inputgamedev-skills/awesome-gamedev-agent-skillsSet up player input in Unreal Engine 5 with Enhanced Input: Input Actions, Input Mapping Contexts, modifiers and triggers, adding the mapping context, and binding actions by ETriggerEvent. Use when wiring movement/look/jump input, creating IA_/IMC_ assets, binding in C++ or Blueprints, or when the user mentions Enhanced Input, Input Mapping Context, Input Action, IA_/IMC_, or ETriggerEvent.ProductivitateFără avertismente★ 2,2 K↓ —
- roblox-studio-workflowgamedev-skills/awesome-gamedev-agent-skillsModify living Roblox Studio projects safely: inspect Explorer and execution locations, preserve existing structure, reuse modules/remotes, create meaningful Instances, apply Attributes and CollectionService tags, test server/client and multiple devices, inspect Output, and remove experiments/debug objects. Use when an agent edits a place or rbxl/rbxlx/Rojo project, operates in Studio, adds Scripts/LocalScripts/ModuleScripts, or must verify a Roblox change in context.ProductivitateFără avertismente★ 2,2 K↓ —
- branch-and-worktree-workflowcbrock84/headcountIsolates feature work in its own branch or worktree and integrates it cleanly when done. Use this when starting work that should not disturb the current workspace, when several efforts must proceed in parallel on one repository, or when implementation is finished and the change needs merging, rebasing, or splitting for review.ProductivitateFără avertismente★ 2,1 K↓ —
- pinme-emailglitternetwork/pinmeUse this skill when a PinMe project (Worker TypeScript) needs to integrate email sending (send_email). Guides AI to generate correct Worker TS code.ProductivitateFără avertismente★ 3,8 K↓ —
- jetson-optimize-memoryNVIDIA/skillsReclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.ProductivitateFără avertismente★ 3,7 K↓ —
- add-mnemonnanocoai/nanoclawAdd persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn.ProductivitateFără avertismente★ 31 K↓ —
- migrate-from-openclawnanocoai/nanoclawMigrate from OpenClaw to NanoClaw v2. Detects an existing OpenClaw installation, extracts identity, channel credentials, scheduled tasks, and other config, then guides interactive migration. Triggers on "migrate from openclaw", "openclaw migration", "import from openclaw".ProductivitateFără avertismente★ 31 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,2 K↓ —