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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 6 ore
45.100 de skill-uri
- content-gap-analysisaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划ȘtiințăFără avertismente★ 3 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↓ —
- 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↓ —
- howmichael-denyer/pstack-claudeUse for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.PlanificareFără avertismente★ 3,5 K↓ —
- sentry-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Sentry rate limits, quotas, and event volume optimization. Use when hitting 429 errors, tuning sampleRate/tracesSampleRate, filtering noisy browser errors with beforeSend, configuring inbound data filters, setting per-key rate limits, or monitoring quota usage via the Sentry stats API. Trigger: "sentry rate limit", "sentry quota", "reduce sentry events", "sentry 429", "sentry spike protection", "sentry sampling".BrowserFără avertismente★ 2,9 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanificareFără avertismente★ 3,7 K↓ —
- gsd:managerdavepoon/buildwithclaudeInteractive command center for managing multiple phases from one terminalAlteleFără avertismente★ 3,7 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↓ —Apare și în 3 alte depozite
- email-sequence-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound sequence"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound) with trigger, step timing, branch/exit conditions, goal, frequency governance (send caps, quiet hours, fatigue guardrail), a sunset path, and a SEND N-dimension score. Not for the closed-loop win-back / re-consent (re-permission) program on a lapsed cohort — use reactivation-specialist; not for writing each email's copy — use email-creative-builder; not for computing EQS or the N1 unsubscribe veto — use email-quality-auditor. 邮件自动化流程设计/购物车挽回/流失召回序列ProductivitateFără avertismente★ 3 K↓ —
- skill-brand-onboardingZJU-REAL/Easel创作者/品牌入驻:通过结构化访谈收集视觉风格、内容调性、受众画像和运营目标,生成完整的账号画像档案。 当用户说"账号入驻""建档案""新账号建立画像""品牌入驻""从零建号""完善账号信息""onboarding"时使用。 产出覆盖多维度的完整账号档案;只建声音画像用 skill-voice-builder,只建受众画像用 skill-audience-profiler。AlteleFără avertismente★ 4,1 K↓ —
- tao-train-pointpillarsNVIDIA/skillsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".MediaFără avertismente★ 3,7 K↓ —
- gsd:reviewdavepoon/buildwithclaudeRequest cross-AI peer review of phase plans from external AI CLIsInginerieFără avertismente★ 3,7 K↓ —
- kermt-monitorNVIDIA/skillsCheck progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).DevOpsFără avertismente★ 3,7 K↓ —
- contract-helperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for outreach negotiation before a deal exists — use outreach-manager. 达人合同/合作协议条款审查JuridicFără avertismente★ 3 K↓ —
- gsd:importdavepoon/buildwithclaudeIngest external plans with conflict detection against project decisions before writing anything.RedactareFără avertismente★ 3,7 K↓ —
- codejeremylongshore/tons-of-skills-marketplaceUse BEFORE generating, refactoring, reviewing, or debugging code. Trigger phrases include "write a function/script/class for X", "review this code/diff/PR", "refactor this", "debug this error", "is this implementation correct", "what's wrong with this code", "improve this code", "translate from X to Y", or any prompt with a code block the user wants you to act on. Also fires when planning architectural changes, picking algorithms or data structures, or evaluating dependency upgrades. Calls the code MCP tool to retrieve an engineering scaffold (failure pattern, procedure, correct-pattern example, verification step) before generating. Catches hallucinated APIs, lost edge cases, premature algorithm commitment, silent contract violations, refactors that change behavior masked by passing tests. Do NOT trigger for pure code reading with no action requested, simple syntax questions, file system operations, running existing tests, or confirming an existing pattern is fine.InginerieFără avertismente★ 2,9 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↓ —
- clade-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Anthropic API costs — model selection, prompt caching, batches, Use when working with cost-tuning patterns. token reduction, and usage monitoring. Trigger with "anthropic pricing", "claude cost", "reduce anthropic spend", "anthropic billing", "claude cheaper".InginerieFără avertismente★ 2,9 K↓ —
- jetson-set-targetNVIDIA/skillsSwitch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.AlteleFără avertismente★ 3,7 K↓ —
- speak-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Speak API costs through usage monitoring, tier selection, and efficient audio processing. Use when implementing cost tuning, or managing Speak language learning platform operations. Trigger with phrases like "speak cost tuning", "speak cost tuning".MediaFără avertismente★ 2,9 K↓ —
- skill-strategy-advisorZJU-REAL/Easel基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势,给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别:content-strategy 从零制定策略, strategy-advisor 基于现有数据做迭代优化。AlteleFără avertismente★ 4,1 K↓ —
- skill-competitor-analysisZJU-REAL/Easel分析竞品账号的内容策略,拆解选题、格式、爆款规律和互动模式,输出差异化机会与行动建议。 当用户说"分析竞品""竞品账号""对标账号""拆解爆款""竞品在做什么""对手内容策略""竞争分析"时使用。 和 skill-content-gap-analysis 的区别:本 SKILL 拆解具体竞品账号的内容策略与爆款规律; content-gap-analysis 从赛道整体供需找"没人做好"的蓝海选题空白。AlteleFără avertismente★ 4,1 K↓ —
- splitting-datasetsjeremylongshore/tons-of-skills-marketplaceProcess split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.TestareFără avertismente★ 2,9 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↓ —
video-intro-outro
ZJU-REAL/Easel
De la autor
视频片头 / 片尾:生成带标题、副标题、logo、关注引导的片头卡片和片尾卡片,并拼接到主视频(硬切或淡入淡出转场)。当用户说 片头、片尾、加片头片尾、开场卡片、结尾卡片、标题卡、关注引导页、订阅引导、视频开头加标题、结尾加点赞关注、intro、outro、片头动画 时使用。基于 shared/scripts/intro_outro.py 确定性 ffmpeg 封装。与 poster-hero 区别:poster-hero 出静态封面图,本 SKILL 出可拼接的视频卡片片段。
Instalare
npx skills add ZJU-REAL/Easel --skill video-intro-outro -a claude-code
Se instalează în .claude/skills/video-intro-outro/ · 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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