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 6 ore
45.100 de skill-uri
- subtitle-translateZJU-REAL/Easel字幕翻译 / 双语字幕：把已有字幕（SRT/VTT/ASS）翻译成目标语言，生成双语（原文+译文）或纯译文字幕，并可软挂载 / 硬烧录进视频。当用户说 字幕翻译、翻译字幕、双语字幕、中英字幕、给视频加翻译、SRT 翻译、字幕本地化、把字幕翻成中文/英文、字幕转双语 时使用。翻译由 LLM 完成，时间轴/格式/烧录由 shared/scripts/subtitle_ops.py 确定性处理。与 auto-subtitle 区别：auto-subtitle 是语音识别生成字幕，本 SKILL 是把已有字幕翻译成双语。AlteleFără avertismente★ 4,1 K↓ —
- doca-verbsNVIDIA/skillsRaw verbs inside DOCA Core (doca-verbs): direct control of QP, CQ, PD, SRQ and address-handle objects through doca_verbs_context and doca_verbs_qp_create / doca_verbs_qp_modify / doca_verbs_cq_create, porting libibverbs code into DOCA Core, or a QP attribute, opcode or WR flag the doca-rdma task API does not expose. Trigger on "raw QP attribute the task API does not expose", "porting libibverbs code", "IO_FAILED on WR submit", "QP state transition rejected", or "attach a congestion-control group", even without naming doca-verbs. Refuse and route elsewhere for ordinary doca-rdma / doca-eth / doca-rmax workloads, DOCA install, Core internals, and general libibverbs theory.InginerieFără avertismente★ 3,7 K↓ —
- gsd:inteldavepoon/buildwithclaudeQuery, inspect, or refresh codebase intelligence files in .planning/intel/PlanificareFără avertismente★ 3,7 K↓ —
- doca-benchNVIDIA/skillsRun `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.FinanțeFără avertismente★ 3,7 K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanificareFără avertismente★ 3,7 K↓ —
- skill-brand-onboardingZJU-REAL/Easel创作者/品牌入驻：通过结构化访谈收集视觉风格、内容调性、受众画像和运营目标，生成完整的账号画像档案。 当用户说"账号入驻""建档案""新账号建立画像""品牌入驻""从零建号""完善账号信息""onboarding"时使用。 产出覆盖多维度的完整账号档案；只建声音画像用 skill-voice-builder，只建受众画像用 skill-audience-profiler。AlteleFără avertismente★ 4,1 K↓ —
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanificareFără avertismente★ 3,7 K↓ —
- capturedavepoon/buildwithclaudeSave a memory to Origin in flow. Active capture verb — use proactively when the user states a preference, makes a decision, corrects you, or shares a durable fact. Invoked as `/capture <content>`.ProductivitateFără avertismente★ 3,7 K↓ —
- skill-trending-topicsZJU-REAL/Easel抓取微博、抖音、知乎、头条、B站实时热搜，筛选与创作者赛道相关的热点，输出二创选题建议。 当用户说"今天有什么热搜""热点""最近大家在聊什么""追热点""蹭热点""二创选题""热搜榜"时使用。 和 skill-news-intelligence 的区别：本 SKILL 抓分钟级实时热搜榜做快速二创选题； news-intelligence 做日级深度行业资讯聚合，不抓热搜榜。AlteleFără avertismente★ 4,1 K↓ —
- gsd:analyze-dependenciesdavepoon/buildwithclaudeAnalyze phase dependencies and suggest Depends on entries for ROADMAP.mdPlanificareFără avertismente★ 3,7 K↓ —
- gsd:sketchdavepoon/buildwithclaudeSketch UI/design ideas with throwaway HTML mockups, or propose what to sketch next (frontier mode)DesignFără avertismente★ 3,7 K↓ —
- dashboarddavepoon/buildwithclaudeView all tracked vulnerabilities and their current statusSecuritateFără avertismente★ 3,7 K↓ —
- doca-staNVIDIA/skillsUse this skill when the user builds an NVMe-over-Fabrics storage target on BlueField with DOCA STA — instantiating doca_sta, declaring doca_sta_subsystem NQNs and namespaces over local NVMe disks via doca_sta_be, validating platform support with doca_sta_cap_is_supported, sizing I/O queue depth, or decoding DOCA_ERROR_* statuses such as IO_FAILED on NVMe reads. Also load it for implied asks like "Identify Controller times out over RoCE", "offload the nvmf target", "NVMe-oF Connect never completes", or "16 I/O queues at depth 1024 — supported?". Refuse and route to the proper owner for raw RDMA movement, packet I/O, steering rules, initiator-side NVMe, or SDK install.AlteleFără avertismente★ 3,7 K↓ —
- gsd:check-todosdavepoon/buildwithclaudeList pending todos and select one to work onAlteleFără avertismente★ 3,7 K↓ —
- gsd:research-phasedavepoon/buildwithclaudeResearch how to implement a phase (standalone - usually use /gsd:plan-phase instead)ȘtiințăFără avertismente★ 3,7 K↓ —
- html-wireframeplannotator/effective-htmlDirect-invocation specialist for low-fidelity, self-contained HTML wireframes that test information hierarchy, content, navigation, task flow, and responsive structure before visual design. Use when the user explicitly invokes html-wireframe or the broad html skill routes a wireframe request here. Do not activate independently from a general request. Do not use for polished mockups or production-like interaction; use html-prototype for those.TestareFără avertismente★ 3,8 K↓ —
- adk-agent-builderjeremylongshore/tons-of-skills-marketplaceScaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".DevOpsFără avertismente★ 2,9 K↓ —
- tao-train-pointpillarsNVIDIA/skillsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".MediaFără avertismente★ 3,7 K↓ —
- outlook-automationdavepoon/buildwithclaudeAutomate Outlook tasks via Rube MCP (Composio): emails, calendar, contacts, folders, attachments. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- wiki-exportAr9av/obsidian-wikiExport the Obsidian wiki graph to JSON, GraphML, Neo4j Cypher, Postgres/SQL, HTML, or OKF bundles. Use when transferring or visualizing wiki data in external tools; wiki-import handles the reverse direction.DateFără avertismente★ 3,6 K↓ —
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignFără avertismente★ 3,7 K↓ —Apare și în 4 alte depozite
- doca-gpunetioNVIDIA/skillsUse this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.InginerieFără avertismente★ 3,7 K↓ —
- tao-train-centerposeNVIDIA/skillsCenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoF object pose estimation. Use when training, evaluating, exporting, or running inference for a TAO CenterPose model. Trigger phrases include "train CenterPose", "6-DoF object pose", "keypoint estimation", "object pose regression".AlteleFără avertismente★ 3,7 K↓ —
- gsd:spec-phasedavepoon/buildwithclaudeSocratic spec refinement — clarify WHAT a phase delivers with ambiguity scoring before discuss-phase. Produces a SPEC.md with falsifiable requirements locked before implementation decisions begin.PlanificareFără avertismente★ 3,7 K↓ —
llm-wiki
Ar9av/obsidian-wiki
PlanificareActualizat acum 6 zile
De la autor
Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
Instalare
npx skills add Ar9av/obsidian-wiki --skill llm-wiki -a claude-code
Se instalează în .claude/skills/llm-wiki/ · 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 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție56
Fișiere (4)
- SKILL.md
- references/MEMORY.md
- references/WRITING.md
- references/karpathy-pattern.md