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.
45.604 skill-uri din 2.205 depozite · actualizat acum 4 ore
44.573 de skill-uri
- sentry-automationdavepoon/buildwithclaudeAutomate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- audio-editingZJU-REAL/Easel通用音频处理：音频剪辑/裁剪、格式转码（mp3/wav/m4a/aac）、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速（保音高）。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别：audio-denoise 专做降噪，audio-editing 做除降噪外的通用音频操作（也内置 denoise 作为兜底）。MediaFără avertismente★ 4,1 K↓ —
- ctf-osintljagiello/ctf-skillsProvides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.MediaFără avertismente★ 3,5 K↓ —
- golang-benchmarksamber/cc-skills-golangGolang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.FinanțeFără avertismente★ 3,6 K↓ —
- kiro-validate-implgotalab/cc-sddValidate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.TestareFără avertismente★ 3,7 K↓ —Apare și în 5 alte depozite
- get-pr-commentsmichael-denyer/pstack-claudeFetch and summarize review comments from the active pull requestInginerieFără avertismente★ 3,4 K↓ —
- principle-foundational-thinkingmichael-denyer/pstack-claudeApply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.RedactareFără avertismente★ 3,4 K↓ —
- prisma-upgrade-v7prisma/skillsComplete migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on "upgrade to prisma 7", "prisma 7 migration", "prisma-client generator", "driver adapter required".OficialAlteleFără avertismente★ 76↓ —
- doca-dpa-hl-tracerNVIDIA/skillsUse this skill when the user runs doca_dpa_hl_tracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR submission, completion drain) — picking TRACE vs CRIT, tuning the JSON config (file-size limits + file_size_limit_policy, thread priorities/cores), decoding against the matching DPA-side ELF, or diagnosing empty/noisy captures. Trigger even when the user does not explicitly mention "DOCA DPA tracer" or "high-level tracer" — typical implicit phrasings include "DPA kernel returns wrong result but host completions look clean", "kernel-entry to first-comm latency is huge", "RDMA WR to drain gap on the DPA", "trace file truncated mid-run", "TRACE doubled my DPA latency", or "tracer wrote a file but parser shows zero events". Refuse and route elsewhere for writing DPA kernels, DPA-Comms/DPA-Verbs programming, raw per-cycle DPA profiling, host-side doca-dpa debugging, or production DPA telemetry — those belong to other skills.RedactareFără avertismente★ 3,7 K↓ —
- tao-train-dinov3NVIDIA/skillsDINOv3 continual self-supervised pre-training. Domain-adapts public DINOv3 ViT backbones on unlabeled images via teacher-student self-distillation (DINO + iBOT + KoLeo, optional Gram anchoring) and converts the EMA teacher into a timm-format backbone for downstream tasks. Trigger phrases include "train DINOv3", "DINOv3 SSL", "domain-adapt a foundation backbone", "continual pretraining", "self-supervised finetune DINOv3".ProductivitateFără avertismente★ 3,7 K↓ —
- skill-zhihu-answerZJU-REAL/Easel知乎问答回答发布：在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布（绕 header 遮挡 + JS 遍历发布按钮）。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别：那个发**专栏文章**（zhuanlan），本 SKILL 专发**问答区的回答**；回答内容写作用制作层 SKILL （novel-writer / copywriting）。TestareFără avertismente★ 4,1 K↓ —
- drill-statusdavepoon/buildwithclaudeShow drill-me learning progress — topics studied, cards due for review, weakest concepts, and what to study next. Use when the user asks what's due, how their learning is going, or for their drill-me status.InginerieFără avertismente★ 3,7 K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- what-did-i-get-donemichael-denyer/pstack-claudeSummarize authored commits over a user-specified time period into a concise updatePlanificareFără avertismente★ 3,4 K↓ —
- tao-run-on-slurmNVIDIA/skillsRemote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".AlteleFără avertismente★ 3,7 K↓ —
- level-designgamedev-skills/awesome-gamedev-agent-skillsDesign and build playable levels — the blockout/whitebox-to-playable workflow, player metrics and grid layout, pacing and flow (tension/rest curve), gating and the critical path, and encounter design. Engine-neutral practice. Use when the user mentions level design, blockout/whitebox/greybox, level layout, level pacing, encounter design, or the critical path through a level.DesignFără avertismente★ 4,1 K↓ —
- dispatchdavepoon/buildwithclaudeDelegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code. Say 'check with codex' or 'ask gemini for a second opinion' and Claude runs the other agent, keeps a topic-aware session, and critiques the result.InginerieFără avertismente★ 3,7 K↓ —
- doca-gpunetio-ib-write-bwNVIDIA/skillsUse this skill when the user is building or interpreting the doca/tools/gpunetio_ib_write_bw tool pair — a CUDA kernel posts RDMA WRITE work requests through the doca-gpunetio device-side surface to measure sustained GPU-driven WRITE BW on a GPU+IB-device pair. Trigger even without the tool name — typical phrasings: "measure WRITE BW when the GPU posts the WRs", "BW swings run to run on the same flags", "is the NIC saturated or am I bound on the CUDA kernel", "meson compile fails for the GPUNetIO bw tool", "nvidia_peermem isn't picking up my GPU buffer", or "GPU-posted WRITE BW vs the CPU path". Refuse and route elsewhere for general doca-gpunetio library work, DOCA setup, the GPU-posted WRITE latency analog, CPU-posted RDMA benchmarking (doca-perftest), and app-level end-to-end rates.RedactareFără avertismente★ 3,7 K↓ —
- platformergamedev-skills/awesome-gamedev-agent-skillsBuild a 2D platformer: run/jump control with coyote time, jump buffering, and variable jump height, plus tiled levels and hazards. Use for a platformer or Mario/Celeste-like, or tuning jump feel.AlteleFără avertismente★ 4,1 K↓ —
- gsd:autonomousdavepoon/buildwithclaudeRun all remaining phases autonomously — discuss→plan→execute per phasePlanificareFără avertismente★ 3,7 K↓ —
- video-strategyZJU-REAL/Easel视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景。 当用户说"视频怎么做""视频选型""用什么工具做视频""视频制作流程""视频策略""视频系列规划"时使用。 和 video-script 的区别：video-strategy 做内容规划与工具选型，video-script 写具体某条视频的脚本。MediaFără avertismente★ 4,1 K↓ —
- post-formatterZJU-REAL/Easel用 PAS、AIDA、BAB、STAR、SLAY 等经典框架将主题结构化为社媒帖子。 200-250 字、20 行以内、移动端友好排版。适用于公众号、知乎、微博、LinkedIn 等长文帖子。 当用户说"用 PAS 写"、"AIDA 框架"、"结构化帖子"、"套框架写"时使用。 和 social-content 的区别：post-formatter 严格套用营销框架，social-content 偏自由写作。MarketingFără avertismente★ 4,1 K↓ —
- skill-quality-gateZJU-REAL/Easel发布前质量关卡：合规风险检测（敏感词、绝对化用语、平台规则） + 产物质量审核（完整性、可读性、平台适配度）。一次检查，两道把关。 当用户说"检查合规"、"质量检查"、"能不能发"、"有没有敏感词"、 "审核一下"、"发布前检查"、"质量够不够"时使用。 合并了原 skill-check-compliance 和 skill-review-deliverable 的能力。JuridicFără avertismente★ 4,1 K↓ —
- voice-cloneZJU-REAL/Easel上传本人语音样本克隆专属音色，再用它合成口播、旁白或带货语音。当用户说“声音克隆、克隆/复刻我的声音、用我的声音配音、定制专属音色”时使用，需要用户自备云端 provider 凭证。使用公共现成音色时改用 tts-voiceover。AlteleFără avertismente★ 4,1 K↓ —
kiro-validate-impl
gotalab/cc-sdd
TestareActualizat acum 4 zile
De la autor
Validate feature-level integration after all tasks are implemented. Checks cross-task consistency, full test suite, and overall spec coverage.
Instalare
npx skills add gotalab/cc-sdd --skill kiro-validate-impl -a claude-code
Se instalează în .claude/skills/kiro-validate-impl/ · 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 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (1)
- SKILL.md