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 9 minute
44.573 de skill-uri
- 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↓ —
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignFără avertismente★ 3,7 K↓ —
- doca-flow-tuneNVIDIA/skillsUse this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for measuring baseline numbers (doca-flow-perf, doca-flow-dpa-perf), writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.DateFără avertismente★ 3,7 K↓ —
- doca-flow-perfNVIDIA/skillsUse this skill when the user measures control-plane insertion throughput of DOCA Flow with the doca_flow_perf binary on x86 host or Arm cores — selecting a configs/ JSON policy, weighing the DPDK-versus-DOCA backend, running the smoke iteration then the eval loop, interpreting CPU cycles plus num_pushed / num_failed, or capturing the four-tuple (DOCA release, firmware, JSON policy, worker config) that makes an insertion figure defensible. Also load it for implied asks like "5-tuple hairpin insert figure", "flow-perf result mismatches release notes", "DPDK-vs-DOCA comparison", or "install variance too high". Refuse and route to the proper owner for live-app optimization (doca-flow-tune), DPA-side measurement (doca-flow-dpa-perf), wire throughput or latency, or library-internal pipe semantics.PlanificareFără avertismente★ 3,7 K↓ —
- skill-seo-qualityZJU-REAL/Easel平台原生搜索流量优化：把内容做成能被平台搜索到的样子。 校验并优化标题/正文关键词布局、话题标签搜索权重、封面/首帧文字关键词、 搜索流量 vs 推荐流量的取舍。覆盖小红书、抖音、知乎、公众号、B站、微博。 当用户说"SEO 检查"、"搜索优化"、"关键词布局"、"搜不到我的内容"、 "怎么被搜到"、"话题标签怎么选"、"搜一搜优化"、"发布前校验"时使用。 网页/博客的 Meta/OG/Slug/E-E-A-T 校验作为可选模式保留（见 references）。MarketingFără avertismente★ 4,1 K↓ —
- launch-asset-packageraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "package the launch assets", "build a press kit", or "prep the store listing and go-live checklist"; produces a tier-scoped launch asset manifest with production status — a press kit spec (factsheet, description, history, features, videos, images, logo and icon, awards, contact), demo script and screenshot specs, a launch FAQ, dual-store listing metadata drafts against the official character budgets (per App Store Connect / Play Console documentation), and a technical go-live checklist manifest (robots flip, sitemap, OG tags, analytics verification — execution stays with technical-seo-checker and serp-markup-builder). Not for the message copy itself — use message-house-builder or content-writer; not for landing page UX — use landing-optimizer; not for keyword research beyond the store surfaces — use keyword-research. 发布资产打包/press kit/商店listing规格/上线检查清单DateFără avertismente★ 3 K↓ —
- serp-markup-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "optimize meta tags", "write title tags / meta descriptions", "add Open Graph or Twitter cards", or "generate schema / JSON-LD" for FAQ, HowTo, Article, Product, or LocalBusiness rich-result candidates. Produces title/description options, an OG+Twitter block, and validated JSON-LD for the document head. Not for body copy — use content-writer; not for crawl/index technical issues — use technical-seo-checker. 标题优化/元描述/Schema标记/结构化数据BrowserFără avertismente★ 3 K↓ —
- skill-risk-scannerZJU-REAL/Easel内容原创度与版权风险评估：分析文案是否存在洗稿/搬运嫌疑，评估素材版权风险， 检查引用规范。基于 LLM 文本分析，不包含技术查重。 当用户说"查重"、"原创度"、"是不是抄的"、"版权风险"、"能不能用这张图"、 "音乐版权"、"原创检测"、"有没有侵权"、"素材版权"、"会不会被投诉"时触发。 和 skill-quality-gate 的区别：quality-gate 查敏感词和平台规则合规， risk-scanner 专注原创度和版权侵权风险。AlteleFără 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★ 3,7 K↓ —
- launch-window-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pick a launch date", "plan the launch window", or "set the embargo and lift time"; produces a candidate-window comparison table (conflict / tailwind / risk per window) built from industry-event cycles and the competitor launch calendar, a launch-week vs rolling-release format call, store-review buffer padding (labeled Estimated), and an embargo window definition (lift moment + timezone) submitted to the launch registry as a candidate. Not for judging the cultural moment itself — use trend-spotter; not for launch-day execution — use launch-day-conductor. 发布择时/发布窗口/竞品日历/禁运期窗口/审核缓冲PlanificareFără avertismente★ 3 K↓ —
- cdf-anomalygenNVIDIA/skillsUse when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality refinement, and pseudo-labeling — even when the user names only one stage.MediaFără avertismente★ 3,7 K↓ —
- rag-blueprintNVIDIA/skillsNVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).DevOpsFără avertismente★ 3,7 K↓ —
- video-to-articleZJU-REAL/Easel把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容，同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle；翻译已有字幕用 subtitle-translate。MediaFără avertismente★ 4,1 K↓ —
- 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↓ —
- chart-visualizationZJU-REAL/Easel将数据可视化为图表。当用户需要生成柱状图、折线图、饼图、散点图、雷达图、桑基图、思维导图、流程图等图表时调用此技能，通过 curl 工具调用 AntV API 生成图表图片。产出静态图片 URL（25+ 类型）；要本地渲染的信息图/GIF 动画图表用 infographic，要 CSV/JSON→整页报告用 data-reportDateFără avertismente★ 4,1 K↓ —
- doca-socket-relayNVIDIA/skillsUse this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint, walking the bind → connect → round-trip → admit-fleet smoke, or diagnosing a stuck/silent relay. Trigger even when the user does not explicitly mention "DOCA Socket Relay" — typical implicit phrasings include "move my socket app onto the BlueField without rewriting it", "host app gets ECONNREFUSED on the relay", "relay accepts the connection but bytes never arrive on the DPU side", "first round-trip works, the rest hang", "bridge an AF_UNIX (UDS) socket to a DPU peer over Comch", or "I want a sidecar that forwards my socket to the BlueField". Refuse and route elsewhere for the comch programming API, line-rate raw packet I/O via doca-eth, and DOCA install/bring-up — those belong to other skills.DevOpsFără avertismente★ 3,7 K↓ —
- rtx-remix-moddingNVIDIA/skillsMod or remaster a game with RTX Remix - open and edit projects, swap textures and models. Connect to the Remix Toolkit App via MCP. Not for non-Remix game interaction.RedactareFără avertismente★ 3,7 K↓ —
- video-highlightsZJU-REAL/Easel长视频 / 直播录像高光切片：从一条长视频里找出高光片段，切成多条独立短视频，可选转竖版 9:16 + 加字幕。找点两种方式——音频能量峰值（情绪高涨/欢呼/大声处）或转录后由内容判断挑金句段。当用户说 直播切片、高光切片、长视频切短、录像剪精华、切片、高光时刻、把直播剪成短视频、提取精彩片段、长视频找亮点 时使用。基于 shared/scripts/highlight_cut.py（librosa 能量分析）。与 clipify 区别：clipify 专做英文口播找笑点+动态人脸pan，本 SKILL 更通用（中文/直播皆可）、静态转竖版更稳。MediaFără avertismente★ 4,1 K↓ —
- tao-finetune-clipNVIDIA/skillsCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.DevOpsFără avertismente★ 3,7 K↓ —
- mcore-testingNVIDIA/skillsTest system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.TestareFără avertismente★ 3,7 K↓ —
- gsd:debugdavepoon/buildwithclaudeSystematic debugging with persistent state across context resetsInginerieFără avertismente★ 3,7 K↓ —
- rag-perfNVIDIA/skillsPerformance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).TestareFără 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↓ —
- 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↓ —
godot-3d-essentials
gamedev-skills/awesome-gamedev-agent-skills
AlteleActualizat ieri
De la autor
Set up a Godot 4.7 3D scene: Node3D transforms, Camera3D, lighting (DirectionalLight3D/OmniLight3D), WorldEnvironment for sky/ambient/tonemap/post, MeshInstance3D materials, and GridMap for tile-based 3D levels. Use when building a 3D scene in a Godot project, placing cameras/lights, configuring environment and post-processing, or working with Node3D/.tscn 3D content and GridMap.
Instalare
npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill godot-3d-essentials -a claude-code
Se instalează în .claude/skills/godot-3d-essentials/ · 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
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De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (2)
- SKILL.md
- references/scene-and-environment.md