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.
47.307 skill-uri din 2.272 de depozite · actualizat acum 15 ore
47.307 skill-uri
- paid-ads-creativenowork-studio/notfair-pluginCreate grounded paid-media creative concepts, copy angles, refresh hypotheses, and measurable test briefs across advertising platforms. Use for ad copy, creative briefs, UGC concepts, headlines, creative fatigue, asset ideas, or a creative refresh.MarketingFără avertismente★ 4,1 K↓ —
- paid-ads-optimizenowork-studio/notfair-pluginDiagnose wasted paid-ad spend, pacing, and allocation, then propose safe evidence-backed optimizations. Use for waste, negatives, budgets, bid changes, poor CPA or ROAS, underpacing, overspend, or scaling decisions.MarketingFără avertismente★ 4,1 K↓ —
- meta-ads-creativenowork-studio/notfair-pluginCreate evidence-based Meta ad creative briefs, copy angles, and testable asset concepts for Facebook and Instagram. Use when asked for Meta ad creative, Facebook ads copy, Instagram ad assets, UGC concepts, creative briefs, new ad concepts, or creative refreshes.MarketingFără avertismente★ 4,1 K↓ —
- google-ads-assetsnowork-studio/notfair-pluginPlan, validate, and safely publish Google Ads assets, including sitelinks, callouts, structured snippets, image assets, and Performance Max asset briefs. Use when asked for Google Ads assets, ad extensions, sitelinks, callouts, snippets, image assets, Performance Max assets, PMax creative, or an asset audit.MarketingFără avertismente★ 4,1 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↓ —
- earth2studio-discoverNVIDIA/skillsFind Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.RedactareFără avertismente★ 3,8 K↓ —
- paid-ads-amazonnowork-studio/notfair-pluginPlan and review Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.MarketingFără avertismente★ 4,1 K↓ —
- keyword-researchnowork-studio/notfair-pluginDiscover, analyze, and prioritize keywords for SEO and GEO content strategies from a seed keyword or niche. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters. For building a dated editorial calendar from your own Search Console data, use `content-planner` instead — this skill is seed-driven keyword discovery, not calendar scheduling. Use when asked to "find keywords", "keyword research", "keyword analysis", "search volume", "keyword difficulty", "content ideas from a seed", or any keyword discovery task.ȘtiințăFără avertismente★ 4,1 K↓ —
- video-chaptersZJU-REAL/Easel视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与 video-to-article 区别：那个把视频改写成成篇图文，本 SKILL 只出章节时间戳目录。MediaFără avertismente★ 4,1 K↓ —
- competitor-trackeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track competitor influencer marketing", "see who my rivals partner with", or "benchmark my influencer program"; produces a competitor partnership roster, campaign and content-strategy breakdown, performance estimates, and a gap/opportunity list. Not for finding your own new creators — use influencer-discovery. 竞品达人合作追踪/竞品营销分析MarketingFără avertismente★ 3 K↓ —
- doca-staActualizatNVIDIA/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★ 3,8 K↓ —
- doca-urom-svcActualizatNVIDIA/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↓ —
- meme-generatorZJU-REAL/Easel表情包 / Meme 生成：给图片加经典上下大字（白字黑边）做梗图，或在图上/下加配文条做反应图（'当…的时候'格式）。中英文都支持，自动换行和字号自适应。当用户说 表情包、做表情包、meme、梗图、reaction 图、配图加字、给这张图加字、做个梗、反应图、当xx的时候 时使用。基于 shared/scripts/meme_ops.py（Pillow）。与 card-quote 区别：card-quote 做精致金句卡片，meme-generator 做梗图/表情包；与 image-editing watermark 区别：那个加水印，本 SKILL 加梗字。MediaFără avertismente★ 4,1 K↓ —
- doca-programming-guideActualizatNVIDIA/skillsUse this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring pkg-config + meson (or FFI from Rust / Go / Python against the public C ABI), walking the Core lifecycle (create → configure → start → connect → use → stop → destroy), or decoding a DOCA_ERROR_*. Trigger on implicit phrasing: "write my first DOCA program", "meson line for doca_rdma_*", "DOCA_ERROR_BAD_STATE on first call", "call DOCA from Rust", "built clean but nothing on the wire". Refuse install / hugepages / pkg-config (doca-setup), docs or version lookup (doca-public-knowledge-map), and library-internal API work (matching library skill).RedactareFără avertismente★ 3,8 K↓ —
- tao-finetune-kumo-forecastNVIDIA/skillsKumo-Forecast — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. Use when the user asks to "forecast with Kumo-Forecast", "run forecasting inference", "use perform_forecasting", "DARR mode", "context-enhanced forecasting", "lag horizon attribution", "interpretability", "fine-tune forecasting", "fine-tune forecasting with automl", "hyper-parameter optimization with forecasting", or mentions "kumo-forecast", "moment_head_512_6hr", or "run8_best_model_cr".ProductivitateFără avertismente★ 3,8 K↓ —
- offensive-wifi-reconSnailSploit/Claude-RedWi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks. Use at the start of any wireless engagement to build the target map before active attacks; covers 2.4 GHz, 5 GHz, and 6 GHz (Wi-Fi 6E) bands and adapter compatibility for each.JuridicFără avertismente★ 9,7 K↓ —
- biopythonforyourhealth111-pixel/Vibe-SkillsPrimary retained Python toolkit for molecular biology sequence work. Preferred for sequence manipulation, FASTA/FASTQ/GenBank parsing, Bio.Entrez, BLAST workflows, alignments, structures, and phylogenetics. For biological database evidence lookup, use bio-database-evidence. For single-cell workflows use scanpy. For direct literature REST API, use pubmed-database.DateFără avertismente★ 3,8 K↓ —
- dev-browsercode-yeongyu/oh-my-openagentBrowser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.BrowserFără avertismente★ 70,4 K↓ —
- nemo-retriever-mcpNVIDIA/skillsUse when a task needs to search or add documents through NeMo Retriever MCP.ProductivitateFără avertismente★ 3,8 K↓ —
- skill-hook-generatorZJU-REAL/Easel针对任意主题生成多种 Hook（开头钩子）变体，用经过验证的互动公式抓住开头注意力，附字数校验。 当用户说"写钩子""开头怎么写""Hook""抓眼球的开头""标题钩子""前三秒""怎么开头"时使用。 本 SKILL 专攻可复用的开头钩子变体；成篇营销文案用 copywriting，视频分秒脚本用 video-script。MediaFără avertismente★ 4,1 K↓ —
- skill-kuaishou-uploadZJU-REAL/Easel快手视频发布：把竖版短视频发布到快手创作者中心。当用户说"发快手""上传快手""快手投稿" "发布到快手""快手视频发布"时使用。基于通用浏览器发布框架（Playwright + 登录态持久化）。TestareFără avertismente★ 4,1 K↓ —
- email-quality-auditoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "audit an email program" or "is this campaign safe to send"; runs a typed 20-item SEND profile with authentication, consent, opt-out, and claim veto checks on own evidence. Not for building deliverability setup — use deliverability-qa; not for designing lifecycle flows — use email-sequence-designer. 邮件质量审计/EQS评分/发送前放行ProductivitateFără avertismente★ 3 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↓ —
- doca-flow-tuneActualizatNVIDIA/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), writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.DateFără avertismente★ 3,8 K↓ —
earnings-recap
himself65/finance-skills
FinanțeActualizat acum 4 zile
De la autor
Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the post-earnings move, or an earnings call recap — including casual references to a past report such as "AMZN reported last night" or "how did they do". For an upcoming report, use earnings-preview.
Instalare
npx skills add himself65/finance-skills --skill earnings-recap -a claude-code
Se instalează în .claude/skills/earnings-recap/ · 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
Proveniență82
Întreținere100
Licență100
Adopție56
Fișiere (3)
- README.md
- SKILL.md
- references/api_reference.md