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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.
46.700 de skill-uri din 2.243 de depozite · actualizat acum 13 ore
46.700 de skill-uri
- jetson-init-targetNVIDIA/skillsAuthor a new Jetson target-platform profile (reference_devkit + optional custom_carrier) and update the active pointer. Use to create a target; not for switching existing profiles.AlteleFără avertismente★ 3,8 K↓ —
- figma-automationdavepoon/buildwithclaudeAutomate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.DesignFără avertismente★ 3,7 K↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".AlteleFără avertismente★ 3,8 K↓ —
- ramp-sdk-patternsjeremylongshore/tons-of-skills-marketplaceBuild a small typed Ramp Developer API adapter with secure token management, pagination, structured errors, rate control, idempotency, and schema drift checks. Use when replacing scattered raw requests in application code. Trigger with "Ramp API client" or "Ramp SDK patterns".InginerieFără avertismente★ 2,9 K↓ —
- castai-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Use when investigating spend, validating savings claims, applying private-price adjustments, or prioritizing workloads and clusters. Trigger with: "tune CAST AI costs", "verify CAST AI savings", "reduce Kubernetes spend with CAST AI".DevOpsFără avertismente★ 2,9 K↓ —
- image-editingZJU-REAL/Easel通用图像处理加工:改尺寸/缩放、裁剪、补边适配平台尺寸、格式转换(png/jpg/webp)、 压缩到目标大小、加文字或图片水印、圆角、多图拼接、生成缩略图、读图片信息。 基于 image_ops.py 确定性处理。 使用时机:用户说"改尺寸"、"缩放图片"、"裁剪"、"压缩图片"、"加水印"、"转格式"、 "圆角"、"拼图/多图联排"、"缩略图"、"适配小红书/朋友圈尺寸"、"把图 pad 成 1:1"。 和 card-*(卡片类)的区别:card-* 是"HTML 设计→渲染出图", image-editing 只加工已有图片,不负责视觉设计。MediaFără avertismente★ 4,1 K↓ —
- batch-processZJU-REAL/Easel批量处理:对一个目录里的一批图片/视频/音频统一套用同一操作——批量压缩、加水印、转格式、缩放、转比例、音量归一化等。当用户说 批量处理、批量压缩、批量加水印、批量转格式、一批图片/视频、给这个文件夹、全部转成、批量缩放、批量转竖版、整个目录 时使用。基于 shared/scripts/batch_process.py(委派 image_ops/video_ops/audio_ops)。与 image-editing/video-editing/audio-editing 区别:那些处理单文件,本 SKILL 批量套用到整个目录。MediaFără avertismente★ 4,1 K↓ —
- cudaq-importingNVIDIA/skillsUse when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.AlteleFără avertismente★ 3,8 K↓ —
- audio-denoiseZJU-REAL/Easel音频降噪:去除录音中的背景噪声、电流声、风噪、嗡嗡声,基于 ffmpeg 滤镜链(afftdn/highpass/lowpass)。 当用户说"降噪""去噪""去杂音""消除背景噪声""电流声""风噪""录音有杂音""音频降噪"时使用。 和 audio-editing 的区别:audio-editing 做剪辑/转码/音量等通用音频操作(内置 denoise 兜底),本 SKILL 专做降噪调参。MediaFără avertismente★ 4,1 K↓ —
- flyio-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect a bounded, redacted Fly.io support bundle for release, Machine, health, volume, network, and platform incidents. Use when escalating a reproducible problem. Trigger with: "build Fly debug bundle", "collect Fly support evidence", "sanitize Fly incident data".InginerieFără avertismente★ 2,9 K↓ —
- cursor-team-setupjeremylongshore/tons-of-skills-marketplaceSet up Cursor for teams: plan selection, member management, shared rules, admin dashboard, and onboarding. Triggers on "cursor team", "cursor organization", "cursor business", "cursor enterprise setup", "cursor admin".PlanificareFără avertismente★ 2,9 K↓ —
- ai-video-genZJU-REAL/EaselAI 视频生成:文生视频 / 图生视频 / 数字人首帧驱动。通过可插拔 provider(通义万相 Wan / 火山 Seedance / 快手可灵 / OpenAI 兼容)异步生成视频,用户自备 API key。当用户说 AI 视频生成、文生视频、图生视频、AI 生成视频、AI 短视频、让图片动起来、数字人视频、生成一段视频 时使用。与 video-strategy(选型/策略)、video-editing(剪辑处理)、clipify(切片)区别:本 SKILL 是从 0 用 AI 生成新视频。MediaFără avertismente★ 4,1 K↓ —
- cohere-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Cohere endpoint-aware throttling, bounded retry, and queue backpressure from current limits and observed responses. Use when handling 429s or planning throughput. Trigger with "Cohere rate limit", "Cohere throttling", or "Cohere 429".PlanificareFără avertismente★ 2,9 K↓ —
- doca-urom-svcNVIDIA/skillsOperate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX component, size queues, configure Comch pairing, and align host and service versions. SECURITY: the service has no standalone access control; Comch pairing and RDMA permissions are the boundary. Pair only intended hosts, expose least-privilege memory regions, and verify both views before start. Trigger for slow UCX collectives, unexpected NOT_PERMITTED, or missing completions. Do not use for host application code, MPI/UCX integration design, or DOCA install.SecuritateFără avertismente★ 3,8 K↓ —
- doca-dmaNVIDIA/skillsUse this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap regions (plus doca_mmap_export_* for cross-peer copies), driving the progress engine, or debugging DOCA_ERROR_* returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "doca_mmap" — typical implicit phrasings include "memcpy host buffer to BlueField without using the CPU", "offload a bulk copy to the DPU", "copy returns NOT_PERMITTED on first submit", "buffer too big for one DMA task", "task submitted but no completion", or "scatter-gather copy between two memory regions". Refuse and route elsewhere for cross-network copies (DOCA RDMA), producer/consumer messaging (DOCA Comch), DOCA Core / progress-engine internals, or DOCA install — those belong to other skills.InginerieFără avertismente★ 3,8 K↓ —
- transformersforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.MediaFără avertismente★ 3,8 K↓ —
- doca-pccNVIDIA/skillsUse this skill when the user is doing hands-on host-side DOCA PCC work to load a CUSTOM Programmable Congestion Control algorithm onto a BlueField DPU — creating per-port `doca_pcc` contexts, loading a `dpacc`-compiled `doca_pcc_app` onto the `doca_dev` for the RoCE-bearing port, parameterizing it, walking triple-axis capability discovery (DOCA cap-query + DPA-capable BlueField + firmware custom-PCC slot enabled), or debugging `DOCA_ERROR_*` from `doca_pcc_*`. Trigger even without explicit "DOCA PCC" phrasing — implicit forms include "loading my own congestion control onto a BF port", "DOCA_ERROR_NOT_PERMITTED on algorithm load", "DOCA_ERROR_DRIVER when I attach my custom algorithm", "my custom rate-update isn't affecting RoCE traffic", or "load succeeds but no on-wire change". Refuse and route elsewhere for DPA-side algorithm-body design, the `pcc_counters` CLI, default factory PCC in ConnectX firmware, or setting up the RDMA / RoCE traffic — those belong to other skills.DesignFără avertismente★ 3,8 K↓ —
- sympyforyourhealth111-pixel/Vibe-SkillsUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- skill-trend-riderZJU-REAL/Easel给定一个热点事件或话题,结合创作者账号定位,输出蹭热点的具体内容方案。 包含切入角度、内容形式、标题建议、风险提醒。 当用户说"这个热点怎么蹭"、"蹭热点"、"怎么结合"、"热点和我有关吗"、 "追热点"、"热点方案"、"借势"、"怎么追这个热点"、"热点怎么切"时触发。 和 skill-trending-topics 的区别:trending-topics 发现和筛选热点, trend-rider 拿到一个具体热点后规划怎么蹭、怎么切内容。AlteleFără avertismente★ 4,1 K↓ —
- gmail-automationdavepoon/buildwithclaudeAutomate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- wiki-ingestAr9av/obsidian-wikiIngest new documents, raw text, folders, or URLs into the Obsidian wiki as distilled, linked knowledge. Use for general wiki ingestion when no more specific ingest skill applies, including processing _raw/ staged content.PlanificareFără avertismente★ 3,6 K↓ —
- card-quoteZJU-REAL/Easel生成适合微博、知乎、公众号或 X/Twitter 分享的 16:9 横版金句卡和数据卡。当用户说“做金句卡、语录卡、数据卡、横版分享卡”时使用。小红书竖版知识卡用 card-xiaohongshu,竖版营销海报用 poster-hero。AlteleFără avertismente★ 4,1 K↓ —
- audio-mixZJU-REAL/Easel音频混合 / 混音:把旁白口播 + 背景音乐 + 音效混成一轨,BGM 自动循环补足并可闪避(旁白说话时自动压低 BGM 保证人声清晰)。当用户说 混音、音频混合、旁白加背景音乐、配音加BGM、人声和音乐混一起、加音效、音频叠加、BGM 压低、闪避、ducking、把配音和bgm合起来 时使用。基于 shared/scripts/audio_mix.py。与 audio-editing concat 区别:concat 是前后顺序拼接,本 SKILL 是同时叠加混音;与 video-editing bgm 区别:那个给视频配乐,本 SKILL 输出纯音频。MediaFără avertismente★ 4,1 K↓ —
- cross-linkerAr9av/obsidian-wikiFind and add missing cross-references between wiki pages. Use when pages are disconnected or after large ingestion. This modifies pages to add links; use wiki-lint for report-oriented structural auditing.AlteleFără avertismente★ 3,6 K↓ —
sxo
nowork-studio/notfair-plugin
De la autor
Search Experience Optimization (SXO), the bridge between SEO and UX/CRO. Audits the journey from the SERP click to the on-page goal: click-through factors (title, meta, rich results), then post-click signals that keep users and drive conversions: above-the-fold relevance and intent match, page speed / Core Web Vitals, readability, clear CTAs, mobile usability, and what causes pogo-sticking back to Google. Use when the user has decent rankings but poor CTR or poor on-page conversion, wants better dwell time / engagement, less bounce, or a page experience aligned with search intent. Trigger on: "SXO", "search experience optimization", "good rankings but low CTR", "high bounce rate from search", "pogo-sticking", "improve dwell time", "SEO and conversion", "ranking but not converting", "engagement signals", "make this page convert search traffic". For pure landing-page conversion in ads use /google-ads-landing; for content quality use /seo-page.
Instalare
npx skills add nowork-studio/notfair-plugin --skill sxo -a claude-code
Se instalează în .claude/skills/sxo/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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