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 19 ore
2.587 de skill-uri
- cm-skill-indextody-agent/codymasterProgressive Disclosure skill index — efficient skill loading in 3 layers. Layer 1 (index, ~100 tokens) always loaded. Layer 2 (summary, ~300 tokens) loaded on context need. Layer 3 (full SKILL.md) loaded on execution only.ProductivitateFără avertismente★ 54↓ —
- context-surfingpskoett/pskoett-ai-skillsMonitors context window health during large, long-running, multi-session, or explicitly context-sensitive work. Uses bounded external anchors, one cold-context review when self-recovery is uncertain, and a clean handoff on real drift. Do not auto-activate merely because a medium task has an intent frame and plan.ProductivitateFără avertismente★ 321↓ —Apare și în 2 alte depozite
- dingtalk-todobreath57/dingtalk-skills钉钉待办管理。当用户提到"钉钉待办"、"待办任务"、"创建待办"、"新增待办"、"查看待办"、"完成待办"、"标记完成"、"删除待办"、"待办列表"、"我的待办"、"设置截止时间"、"指派待办"、"dingtalk todo"、"todo task"、"task management"时使用此技能。支持：创建待办（含描述/截止时间/优先级/参与者）、获取详情、查询列表（按完成状态过滤）、更新待办、标记完成、删除待办等全部待办类操作。ProductivitateFără avertismente★ 102↓ —
- agent-memory-implementationsimbajigege/book2skillsRestructures a chaotic or overgrown MEMORY.md into a clean 2-layer architecture based on how Claude Code's autoDream system organizes memory — a lightweight pointer index (always loaded) and topic files (loaded on demand). Stale or superseded memories are deleted or corrected in place — not archived. Use this skill whenever the user says "clean up MEMORY.md", "reorganize my memory files", "MEMORY.md is getting too long", "fix my memory structure", or when you observe that MEMORY.md exceeds 200 lines, contains full paragraphs instead of pointers, or mixes index entries with topic content.ProductivitateFără avertismente★ 194↓ —
- dotnet-email-service-sendgridronnythedev/dotnet-clean-architecture-skillsImplements email service abstraction with SendGrid provider. Includes template support, localization, async sending, and domain event integration for transactional emails.ProductivitateFără avertismente★ 76↓ —
- dotnet-jwt-authenticationronnythedev/dotnet-clean-architecture-skillsConfigures JWT Bearer authentication for .NET APIs. Includes token generation, validation, refresh tokens, and user context extraction from claims.ProductivitateFără avertismente★ 76↓ —
- orchestratescdenney/open-science-skillsRuns a multi-model orchestration workflow led by the session's Fable or Claude Opus model. Sends menial tool-calling work to Haiku subagents, judgment work to Opus subagents at an effort matched to each task, and high-stakes or fresh-perspective questions to a GPT-6 Astra Codex peer. Detects the lead from session context; `--lead fable` or `--lead opus` overrides. Use to orchestrate, delegate, fan out, get a decorrelated Codex opinion, run a blind Opus-Codex cross-check, or act as tech lead.ProductivitateFără avertismente★ 69↓ —
- youtube-summarizerBrianRWagner/ai-marketing-claude-code-skillsAutomatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.ProductivitateFără avertismente★ 447↓ —
- project-context-primeromergocmen/vibe-coder-kitRun this skill at the very start of any new conversation or agent session before writing a single line of code. It loads the project's architectural decisions, conventions, known gotchas, and current task status so the agent operates with full context — not as a blank slate.ProductivitateVerifică întâi★ 97↓ —
- orchestratescdenney/open-science-skillsOrchestrate complex work from an active gpt-6-astra or gpt-6.1-sol Codex session. The detected lead owns decomposition, integration, and verification; Astra keeps the hardest reasoning in the lead, while Sol escalates unusually difficult units to Astra. Both route bounded work to Sol at medium effort, mechanical work to Luna, and can use a cross-vendor Claude peer. Not for routine single-context work. Use when the user explicitly asks to orchestrate, delegate, fan out, parallelize, assign subagents, obtain independent checks, or have Codex act as tech lead.ProductivitateFără avertismente★ 69↓ —
- ai-daily-newsgeekjourneyx/ai-daily-skillFetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.ProductivitateFără avertismente★ 237↓ —
- ecommerce.amazon-alexa-searchnexscope-ai/nexscope-ecommerce-skillsInitiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context. Trigger when the user mentions Amazon Alexa, Alexa shopping assistant, Amazon smart assistant, AI shopping guide, conversational product selection, natural language shopping, Amazon chat Q&A, Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions, product recommendation conversation, context follow-ups. Even if the user does not explicitly mention "Alexa", if their need is to "ask for product recommendations on Amazon using natural language", this skill should also be triggered.ProductivitateFără avertismente★ 101↓ —
- ecommerce.amazon-category-lookupnexscope-ai/nexscope-ecommerce-skillsBrowse Amazon category nodes by parent identifier or search category metadata by name. Use this skill when the user asks for this exact ecommerce workflow, analysis, data lookup, or deliverable.ProductivitateFără avertismente★ 101↓ —
- forgetwin4r/MuseAI-SkillsRemove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely means cancel the current task.ProductivitateVerifică întâi★ 388↓ —
- ecommerce.amazon-keyword-summarynexscope-ai/nexscope-ecommerce-skillsBreak down all competitor ASIN traffic sources under a given keyword -- organic search, SP ads, SB brand ads, SBV video ads, SP recommendations, AC/ER/TR recommendation slots, with support for ASIN filtering, custom date ranges, and new traffic keyword filters. Trigger when the user mentions keyword traffic sources, which competitors are grabbing traffic under this keyword, organic traffic vs paid traffic share, SP ad exposure, brand ad share, SP recommendation slots, recommendation ad/non-ad split, search display analysis, Amazon's Choice or editorial recommendation exposure, keyword competitive landscape, ASIN traffic composition, keyword traffic, traffic structure analysis, search share, ad share, traffic source distribution, Nexscope, traffic analysis, SP recommendation, recommend position breakdown. Even if the user does not explicitly mention "Nexscope", if their need involves analyzing competitor ASIN traffic source distribution under a keyword, this skill should also be triggered.ProductivitateFără avertismente★ 101↓ —
- ecommerce.maidalv-product-tro-detectionnexscope-ai/nexscope-ecommerce-skillsAssess product imagery for TRO, trademark, patent, and copyright infringement risk. Use this skill when the user asks for this exact ecommerce workflow, analysis, data lookup, or deliverable.ProductivitateFără avertismente★ 101↓ —
- fit-ride-studioop7418/guizang-sports-skillAnalyze one or more cycling, running, or hiking FIT/KML activity tracks, generate evidence-based single or aggregate reports, open the bundled local Ride Relief report page when the environment supports it, enrich results with user-confirmed public location context, and create shareable PNG or H.264 MP4 route stories on request. Use whenever a user wants to analyze, compare, visualize, or export .fit or .kml activities, including requests that mention a workout but do not yet include track files.ProductivitateFără avertismente★ 150↓ —
- ecommerce.amazon-asin-traffic-summarynexscope-ai/nexscope-ecommerce-skillsUse Nexscope (Search Intelligence Framework) data to analyze ASIN traffic source composition and exposure distribution, covering current period/previous period/newly entered/exited period comparisons. Trigger when the user mentions ASIN traffic sources, traffic structure analysis, organic traffic vs paid traffic share, exposure score breakdown, period comparison, new/exited traffic keywords, competitor traffic analysis, SP ad keyword count, brand ad exposure, Amazon's Choice exposure, editorial recommendation exposure, Top Rated exposure, video ad exposure, organic search exposure ratio, PPC traffic sources, promotional deal traffic sources, recommendation slot structure breakdown, ASIN traffic analysis, traffic sources, organic traffic share, ad traffic share, exposure analysis, traffic structure, period-over-period comparison, keyword churn, Nexscope. Even if the user does not explicitly mention "Nexscope", if their need involves analyzing an ASIN's traffic sources, exposure channel distribution, cross-periProductivitateFără avertismente★ 101↓ —
- ecommerce.amazon-product-price-seriesnexscope-ai/nexscope-ecommerce-skillsQuery Amazon product historical time-series data, including price trends, BSR (Best Sellers Rank) trends, rating changes, seller counts, and monthly sales, supporting any ASIN across multiple Amazon marketplaces. Triggered when users mention price history, price tracking, BSR history, BSR trends, historical pricing, price fluctuations, Nexscope data, rank history, price drop alerts, lightning deal historical prices, Buy Box price trends, coupon prices, FBA/FBM price comparison, seller count changes, rating trends, sales history. Even if users do not explicitly mention "Nexscope" or "time-series data", this skill should be triggered whenever the task involves analyzing Amazon product-level historical data (such as price, rank, or sales trends over time).ProductivitateFără avertismente★ 101↓ —