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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 19 ore
48.168 de skill-uri
- skill-content-calendar-logZJU-REAL/Easel统一内容日历底座。记录每次发布（发布页/对话页均自动落库）、用户排期、平台活动/节日/特殊日期到 一个时间线，并供 Agent 规划前读回。当用户说"内容日历""日历里有什么""接下来发什么""这周发了啥" "把这个活动记到日历""最近的发布节奏""哪个平台该更新了"时触发。是发布时间线的权威底座， 与 skill-publish-log（指标底座）互补：本底座管"何时发什么/该做什么"，publish-log 管"每条数据表现"。ProductivitateFără avertismente★ 4,2 K↓ —
- whymichael-denyer/pstack-claudeUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.DevOpsFără avertismente★ 3,7 K↓ —
- document-skillsforyourhealth111-pixel/Vibe-SkillsUmbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.DocumenteFără avertismente★ 3,8 K↓ —
- skill-positioning-analysisZJU-REAL/Easel差异化定位分析：帮账号/品牌找到差异化定位——扫描赛道、给竞品定位坐标、识别空白机会、 从人群/场景/价值/形式/人设多维找差异点，凝练一句话定位并给落地建议。当用户说"差异化定位" "怎么和竞品区分""我的定位是什么""找差异化""赛道分析""定位分析""怎么突出""同质化怎么办" "找我的独特点"时使用。AlteleFără avertismente★ 4,2 K↓ —
- technical-analystjeremylongshore/tons-of-skills-marketplaceTechnical analysis translator for Product Managers. Use when the user needs to analyze a system, codebase, API, or technical concept in PM-friendly terms. Trigger with "understand system", "explain code", "technical analysis", "how does X work", or "what does this service do".InginerieFără avertismente★ 2,9 K↓ —
- doca-sha-offload-engineNVIDIA/skillsUse this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.TestareFără avertismente★ 3,8 K↓ —
- doca-dtsNouNVIDIA/skillsDeploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.DevOpsFără avertismente★ 3,8 K↓ —
- card-xiaohongshuZJU-REAL/Easel把已有卡片文案渲染为 1080×1440 小红书竖版知识卡片组，并按 card-design 选择视觉风格。当用户说“渲染/制作小红书卡片、知识卡、滑动卡片组”时使用。整套笔记策划与文案用 xhs-note-creator；横版金句卡用 card-quote。DesignFără avertismente★ 4,2 K↓ —
- share-of-voice-trackeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额BrowserFără avertismente★ 3 K↓ —
- reviewing-ffmpeg-skill-changesActualizatkajisho5/ffmpeg-skillReview a change to the ffmpeg-skill repository for the failures its own contract makes possible — a claim in a result document that is true at one layer and false at the layer a caller reads, a new flag that reaches the code but not the contract/docs/demo surfaces, a "bug" that docs/design-decisions.md already decided with a pinning test, a fix with no regression test, a new runtime dependency or a raw ffmpeg shell call that breaks the scope boundary, a SKILL.md line added without one trimmed, a review that re-derives findings from a summary instead of the tree at the reviewed commit. Use when asked to review a PR or diff in this repository, when authoring code here and needing a pre-commit check, or when triaging an external review or audit report about this codebase.MediaFără avertismente★ 4,1 K↓ —
- audience-segment-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build audience segments from my customer list", "make value-based / lookalike seed lists", "set up exclusion / suppression segments", or "map audiences to funnel stages across platforms"; turns the user's OWN customer/CRM/GA4 export into seed audiences, value-based lookalike SEED lists, exclusion/suppression segments, and a cross-platform funnel-stage targeting map, informing the ROAS A (Audience) dimension. Not for building account structure or match types — use campaign-architect; not for organic SERP intent — use keyword-research. 付费广告受众分群/种子人群/排除人群/相似人群种子ȘtiințăFără avertismente★ 3 K↓ —
- devil-advocatejeremylongshore/tons-of-skills-marketplaceConstructive critic and stress-tester for ideas and proposals. Use when the user needs to challenge assumptions, find weaknesses, anticipate objections, or strengthen an argument. Trigger with "challenge", "critique", "push back", "poke holes", "stress test", "what am I missing", or "play devil's advocate".TestareFără avertismente★ 2,9 K↓ —
- doca-telemetry-exporterNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Telemetry Exporter programming on a host where DOCA is installed — defining a doca_telemetry_exporter_schema and event types, creating sources, picking a publish surface (typed events / opaque events / the metrics counter-gauge-histogram API / OTLP logs / NetFlow), walking the schema-then-source lifecycle, or debugging DOCA_ERROR_* failures from the exporter API. Trigger even when the user does not explicitly mention "DOCA Telemetry Exporter" or "doca_telemetry_exporter_*" — typical implicit phrasings include "publishing counters from my DOCA app", "BAD_STATE when I report an event", "consumer/DTS sees nothing but my report succeeded", "how do I export NetFlow/IPFIX records", or "should I link the exporter or the telemetry service". Refuse and route elsewhere for the receiving DOCA Telemetry Service (DTS), plain stdout logging via doca_log, or real-time event subscription back into the app via doca-comch — those belong to other skills.InginerieFără avertismente★ 3,8 K↓ —
- gsd:ai-integration-phasedavepoon/buildwithclaudeGenerate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategyDesignFără avertismente★ 3,7 K↓ —
- sharpenbacknotprop/pstackMake a task deeper, not bigger, then rewrite the prompt. Use for /sharpen.ProductivitateFără avertismente★ 3,3 K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestareFără avertismente★ 3,7 K↓ —
- architectbacknotprop/pstackSketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.PlanificareFără avertismente★ 3,3 K↓ —
- freelancer-reviewjeremylongshore/tons-of-skills-marketplaceReview a freelancer's supplied agreement across fourteen commercial lenses, with clause evidence, actual-work questions and scoped classification limits. Use when assessing a client or independent-contractor agreement. Trigger with "freelancer-review" or "review this contract as a freelancer".InginerieFără avertismente★ 2,9 K↓ —
- contribute-publishjeremylongshore/tons-of-skills-marketplacePublish one prepared OSS contribution action to GitHub after a fresh human approval boundary. Shows the exact target, content, command, commit, and test evidence before any mutation. Use when local preparation is complete and the user explicitly asks to post a claim, create a Design Issue, comment, push a branch, or open a pull request. Trigger with "/contribute-publish" or "publish this prepared contribution".TestareFără avertismente★ 2,9 K↓ —
- nvshmem-get-startedNVIDIA/skillsUse when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps.InginerieFără avertismente★ 3,8 K↓ —
- skill-persona-checkZJU-REAL/Easel人设一致性检查与品牌调性检查：对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好， 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作；无 Profile 时提示先创建。AlteleFără avertismente★ 4,2 K↓ —
- creator-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream. Not for scoring fit — use fit-scorer; not for reviewing content — use creator-content-auditor. 创作者档案/达人名册JuridicFără avertismente★ 3 K↓ —
- comparison-cardZJU-REAL/Easel对比图/一图流：生成 A vs B 参数对比图、优劣势对比表、产品参数一图流。 用 HTML+CSS 渲染成可截图的视觉卡片，适合小红书/微博等平台分享。 使用时机：用户说"做个对比图"、"A vs B"、"参数对比"、"优劣对比"、 "一图流"、"对比表"、"哪个好"、"对比一下"。 和 chart-visualization 的区别：chart 做数据图表（柱状图/折线图），comparison-card 做对比表/一图流。 和 infographic 的区别：infographic 做多维信息图，comparison-card 专注 A vs B 对比。DesignFără avertismente★ 4,2 K↓ —
- principle-redesign-from-first-principlesmichael-denyer/pstack-claudeApply when integrating a new requirement into an existing design.DesignFără avertismente★ 3,7 K↓ —
mcore-run-on-slurm
NVIDIA/skills
AlteleActualizat alaltăieri
De la autor
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Instalare
npx skills add NVIDIA/skills --skill mcore-run-on-slurm -a claude-code
Se instalează în .claude/skills/mcore-run-on-slurm/ · 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 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (5)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- skill-card.md
- skill.oms.sig