- N°: 3 501
Dépôt: Egonex-AI/Understand-Anything
Étoiles GitHub: 92 215Mis à jour: 7 nov. 2026
- N°: 3 502
finance-opsAI-powered financial analysis suite. Generates executive CFO briefings from QuickBooks exports (P&L, Balance Sheet, General Ledger, Cash Flow, etc.) with anomaly detection, burn rate, runway analysis, and scenario modeling. Also estimates codebase development costs with organizational overhead and AI ROI analysis. Triggers on: 'CFO briefing', 'financial analysis', 'cost briefing', 'expense review', 'runway analysis', 'burn rate', 'cost estimate', 'how much would this cost to build', 'development cost', 'Claude ROI'.Langue du contenu du Skill : anglais
Dépôt: ericosiu/ai-marketing-skills
Étoiles GitHub: 3 809Mis à jour: 31 mars 2026
- N°: 3 503
key-account-planCreate comprehensive Key Account Plans for clients/prospects. Use this skill whenever the user mentions 'account plan', 'key account', 'account planning', 'strategic account', 'client plan', 'customer success plan', or wants to create a structured plan for managing an important client relationship. Also trigger when users ask to 'plan for [company name]', 'review account strategy', 'prepare account review', or mention MEDDPICC/MEDDPIC analysis alongside client planning. This skill pulls data from Attio CRM (company records, contacts, deals, notes, emails, call recordings, MEDDPICC scores) and Google Drive, then produces a polished .docx Key Account Plan document and creates summary notes + tasks back in Attio. Even if the user just names a company and says something like 'let's do an account plan' or 'prepare for my QBR with [company]', use this skill.Langue du contenu du Skill : anglais
Dépôt: extruct-ai/gtm-cowork-skills
Étoiles GitHub: 7Mis à jour: 12 avr. 2026
- N°: 3 504
Dépôt: feicaiclub/video-spec-builder
Étoiles GitHub: 1 078Mis à jour: 18 mai 2026
- N°: 3 505
Dépôt: garrytan/gstack
Étoiles GitHub: 141 280Mis à jour: 7 nov. 2026
- N°: 3 506
d365-solution-blueprintAuthors a Dynamics 365 Finance and Supply Chain Management Solution Blueprint from scratch through a structured, section-by-section architect interview, establishing scope, target operating model, application and data architecture, integration landscape, migration strategy, security model, ALM, testing, deployment, and support approach, with a decision log capturing rationale and rejected alternatives. Use when the user wants to create D365 implementation architecture documentation, start a D365 implementation, design the architecture, prepare a Solution Blueprint, or identify the architectural decisions the programme must make. Do not use for critique of an existing design; that is a review task rather than blueprint authoring.Langue du contenu du Skill : anglais
Dépôt: github/awesome-copilot
Étoiles GitHub: 41 059Mis à jour: 14 août 2026
- N°: 3 507
Dépôt: github/awesome-copilot
Étoiles GitHub: 41 059Mis à jour: 14 avr. 2026
- N°: 3 508
security-reviewAI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.Langue du contenu du Skill : anglais
Dépôt: github/awesome-copilot
Étoiles GitHub: 41 059Mis à jour: 30 mars 2026
- N°: 3 509
Dépôt: google-gemini/gemini-cli
Étoiles GitHub: 108 783Mis à jour: 17 avr. 2026
- N°: 3 510
Dépôt: huytieu/COG-second-brain
Étoiles GitHub: 1 412Mis à jour: 30 juil. 2026
- N°: 3 511
Dépôt: K-Dense-AI/scientific-agent-skills
Étoiles GitHub: 56 867Mis à jour: 1 oct. 2026
- N°: 3 512
Dépôt: kangarooking/cangjie-skill
Étoiles GitHub: 12 778Mis à jour: 30 août 2026
- N°: 3 513
Dépôt: larksuite/cli
Étoiles GitHub: 18 064Mis à jour: 21 août 2026
- N°: 3 514
Dépôt: leeyorke/leeyorke-skills
Étoiles GitHub: 1Mis à jour: 10 févr. 2026
- N°: 3 515
Dépôt: LingyiChen-AI/workflow-skill
Étoiles GitHub: 179Mis à jour: 22 mai 2026
- N°: 3 516
Dépôt: LiPu-jpg/Openwrite
Étoiles GitHub: 936Mis à jour: 12 oct. 2026
- N°: 3 517
Dépôt: LJC-god/AI_novel
Étoiles GitHub: 0Mis à jour: 8 juin 2026
- N°: 3 518
Dépôt: lobehub/lobehub
Étoiles GitHub: 85 067Mis à jour: 6 nov. 2026
- N°: 3 519
Dépôt: lobehub/lobehub
Étoiles GitHub: 85 067Mis à jour: 18 oct. 2026
- N°: 3 520
frontend-devFull-stack frontend development combining premium UI design, cinematic animations,
AI-generated media assets, persuasive copywriting, and visual art. Builds complete,
visually striking web pages with real media, advanced motion, and compelling copy.
Use when: building landing pages, marketing sites, product pages, dashboards,
generating media assets (image/video/audio/music), writing conversion copy,
creating generative art, or implementing cinematic scroll animations.Langue du contenu du Skill : anglais
Dépôt: MiniMax-AI/skills
Étoiles GitHub: 13 824Mis à jour: 10 nov. 2026
- N°: 3 521
Dépôt: Narcooo/inkos
Étoiles GitHub: 11 117Mis à jour: 13 août 2026
- N°: 3 522
Dépôt: nexu-io/open-design
Étoiles GitHub: 107 245Mis à jour: 10 juil. 2026
- N°: 3 523
Dépôt: nexu-io/open-design
Étoiles GitHub: 107 245Mis à jour: 18 août 2026
- N°: 3 524
Dépôt: NousResearch/hermes-agent
Étoiles GitHub: 262 813Mis à jour: 30 août 2026
- N°: 3 525
Dépôt: openai/openai-cookbook
Étoiles GitHub: 77 054Mis à jour: 17 juil. 2026
- N°: 3 526
Dépôt: openclaw/openclaw
Étoiles GitHub: 394 354Mis à jour: 23 juil. 2026
- N°: 3 527
Dépôt: openclaw/openclaw
Étoiles GitHub: 394 354Mis à jour: 19 août 2026
- N°: 3 528
Dépôt: openJiuwen-ai/jiuwenswarm
Étoiles GitHub: 8 579Mis à jour: 11 nov. 2026
- N°: 3 529
doubao-ttsUse Doubao Text-to-Speech (Volcengine TTS) to convert text into audio files. When a user mentions "Doubao TTS," "Doubao Text-to-Speech," "doubao tts," "Volcengine TTS," "volcengine tts," "speech synthesis," "text-to-speech," "TTS," "generate audio," "read text aloud," or any scenario requiring the Doubao/Volcengine Text-to-Speech API, this skill must be triggered.Langue du contenu du Skill : anglais
Dépôt: OpenMinis/MinisSkills
Étoiles GitHub: 604Mis à jour: 1 août 2026
- N°: 3 530
scroll-worldBuild an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera flies from outside each scene into its interior, then flows on to the next scene with NO cuts — one continuous connected flight (Emons-style isometric diorama world, or any art direction you pick). The skill interviews the user for the topic, the story beats/sections, and brand kit, then generates cohesive scenes + seamless camera clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine. The video chain renders through Monid by default (Seedance 2.0, pay-per-clip USD — capability re-checked each build, see Step 4) with Higgsfield credits as the fallback biller. Use when the user wants a "3D world" / "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to turn a business into a scrollable world.Langue du contenu du Skill : anglais
Dépôt: oso95/scroll-world
Étoiles GitHub: 10 942Mis à jour: 29 juil. 2026
- N°: 3 531
Dépôt: PangenomeAI/academic-skills-food-nutrition
Étoiles GitHub: 39Mis à jour: 11 juil. 2026
- N°: 3 532
Dépôt: phuryn/pm-skills
Étoiles GitHub: 27 898Mis à jour: 3 mars 2026
- N°: 3 533
Dépôt: qt/qtqa
Étoiles GitHub: 19Mis à jour: 6 août 2026
- N°: 3 534
Dépôt: RobThePCGuy/Claude-Patent-Creator
Étoiles GitHub: 211Mis à jour: 6 oct. 2026
- N°: 3 535
Dépôt: ruvnet/RuView
Étoiles GitHub: 104 092Mis à jour: 11 mai 2026
- N°: 3 536
Dépôt: sahuan14/worldcup-betting-analyst-skill
Étoiles GitHub: 14Mis à jour: 25 juin 2026
- N°: 3 537
surveyLiterature survey assistant with four modes: /survey intent (capture student goals, expertise, and success criteria), /survey triage (landscape mapping via NotebookLM), /survey deepen (structured reading with craft and visualization extraction), /survey synthesize (cross-paper analysis for related work, area exams, gap identification). Also: /survey expand (corpus growth proposals). Use when students mention reading papers, literature review, related work, area exam prep, paper corpus, or any systematic reading task.Langue du contenu du Skill : anglais
Dépôt: SNL-UCSB/literature-survey-skill
Étoiles GitHub: 115Mis à jour: 4 nov. 2026
- N°: 3 538
Dépôt: SpaceZephyr/creator-buddy
Étoiles GitHub: 1 877Mis à jour: 26 juil. 2026
- N°: 3 539
Dépôt: sunchaokun/PPT-Design-Skill
Étoiles GitHub: 495Mis à jour: 16 sept. 2026
- N°: 3 540
dingUse for Ding-style (钉内/钉外) workplace reminders rooted in the 7.5万字 essay 《置身钉内》 and VP response 《置身钉外》. Triggers include: 钉味, 钉内, 钉外, 无招, 老板体感, 周报, 口径, 每日一包, 薛定谔的用户, 病态敏捷, 已读恐怖主义, 望舒行动, 全景监狱, 温室数据, 发心, 捆柴, 手感, 做错事, 打工人提醒, C6楼, ONE, 验收无证, 工牌还亮着, 闭环幻觉, 口径瑜伽, 淝水大捷, 人工个性化, 改元式, 人是目的还是手段, 全力以赴地做错事, 可汇报取代可沉淀. Do not use for pure coding tasks with no workplace/org/delivery context.Langue du contenu du Skill : chinois
Dépôt: tanweai/pua
Étoiles GitHub: 19 832Mis à jour: 12 juin 2026
- N°: 3 541
ai-ugc-adsWhen the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling. Do NOT use for technical implementation, code review, or software architecture.Langue du contenu du Skill : anglais
Dépôt: tech-leads-club/agent-skills
Étoiles GitHub: 7 157Mis à jour: 14 mars 2026
- N°: 3 542
3dsmax-scriptingCovers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.Langue du contenu du Skill : anglais
Dépôt: TerminalSkills/skills
Étoiles GitHub: 192Mis à jour: 25 oct. 2026
- N°: 3 543
Dépôt: wj5205580/douyin-shop-automation
Étoiles GitHub: 41Mis à jour: 25 mars 2026
- N°: 3 544
Dépôt: wshobson/agents
Étoiles GitHub: 42 429Mis à jour: 22 mai 2026
- N°: 3 545
Dépôt: wshobson/agents
Étoiles GitHub: 42 429Mis à jour: 22 mai 2026
- N°: 3 546
Dépôt: zhayujie/CowAgent
Étoiles GitHub: 47 887Mis à jour: 11 nov. 2026
- N°: 3 547
Dépôt: zhinkgit/embeddedskills
Étoiles GitHub: 790Mis à jour: 29 juin 2026
- N°: 3 548
generate2dspriteMake game-ready 2D characters, creatures, props, icons and FX as master stills, sprite sheets or animation clips. Plan size, motion and finish; generate the art (image generation is the default, through generate2dmedia route_media.py - the API when a key is configured, else the local Codex or Grok CLI); approve one master still per character; then key, slice, register, scale, palette, QA and export frames for a game engine (Aseprite JSON, Godot SpriteFrames or Sprite3D). HD finish by default, pixel finish on request. Character animation is one image-to-video clip per action from the master (video2dsprite); sheets are for FX, icons and props. Use for sprites, masters, sheets, frame-by-frame animation and packaging frames from any source. Not for maps, tiles or backgrounds (generate2dmap), video clips (video2dsprite), code-drawn art (codeart2d, only on request) or calling an image or video API by itself (generate2dmedia).Langue du contenu du Skill : anglais
Dépôt: 0x0funky/agent-sprite-forge
Étoiles GitHub: 5 541Mis à jour: 6 nov. 2026
- N°: 3 549
Dépôt: 62656456/ai-film-skills
Étoiles GitHub: 105Mis à jour: 18 oct. 2026
- N°: 3 550
Dépôt: a5c-ai/babysitter
Étoiles GitHub: 1 905Mis à jour: 1 juin 2026
- N°: 3 551
Dépôt: a5c-ai/babysitter
Étoiles GitHub: 1 905Mis à jour: 1 juin 2026
- N°: 3 552
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 18 sept. 2026
- N°: 3 553
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 17 mai 2026
- N°: 3 554
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 10 sept. 2026
- N°: 3 555
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 17 mai 2026
- N°: 3 556
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 7 mars 2026
- N°: 3 557
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 3 mars 2026
- N°: 3 558
security-scanScan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers, hooks, or agent definitions.Langue du contenu du Skill : anglais
Dépôt: affaan-m/ECC
Étoiles GitHub: 301 144Mis à jour: 12 août 2026
- N°: 3 559
Dépôt: alchaincyf/zhangxuefeng-skill
Étoiles GitHub: 10 752Mis à jour: 13 oct. 2026
- N°: 3 560
Dépôt: alirezarezvani/claude-skills
Étoiles GitHub: 29 673Mis à jour: 30 oct. 2026
- N°: 3 561
Dépôt: anymouschina/TapCanvas
Étoiles GitHub: 714Mis à jour: 20 sept. 2026
- N°: 3 562
Dépôt: automateyournetwork/netclaw
Étoiles GitHub: 719Mis à jour: 1 août 2026
- N°: 3 563
Dépôt: baojie/shiji-kb
Étoiles GitHub: 3 741Mis à jour: 25 mars 2026
- N°: 3 564
Dépôt: baserow/baserow
Étoiles GitHub: 6 320Mis à jour: 1 avr. 2026
- N°: 3 565
Dépôt: better-world-ai/x-cli
Étoiles GitHub: 433Mis à jour: 22 mai 2026
- N°: 3 566
Dépôt: binggandata/bggg-skills
Étoiles GitHub: 621Mis à jour: 12 juin 2026
- N°: 3 567
amazon-alexa-qaAmazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.Langue du contenu du Skill : anglais
Dépôt: browser-act/skills
Étoiles GitHub: 6 345Mis à jour: 10 juin 2026
- N°: 3 568
Dépôt: bytedance/agentkit-samples
Étoiles GitHub: 484Mis à jour: 26 mai 2026
- N°: 3 569
Dépôt: BZDmathclub/bzd-math-modeling-skills
Étoiles GitHub: 433Mis à jour: 13 sept. 2026
- N°: 3 570
remotion-to-hyperframesPort an existing Remotion (React) composition to HyperFrames HTML. Use ONLY when the user explicitly asks to port/convert/migrate/translate a Remotion source. Do NOT use: (a) authoring a new HyperFrames composition; (b) Remotion mentioned in passing; (c) Remotion code shared as reference only; (d) "same video as my Remotion one" without explicit migrate request — treat as fresh build. Doubt → `/general-video`. One-way, Remotion-only: no reverse export (HyperFrames→Remotion or any framework), no non-Remotion source (After Effects, Framer Motion, plain React/CSS) → out of scope, re-create via `/general-video`. Flags unsupported patterns (useState, useEffect, async calculateMetadata, third-party React libs, `@remotion/lambda`) and recommends runtime interop over lossy translation. Unsure whether to port vs. build fresh, or only a passing Remotion mention? → /hyperframes.Langue du contenu du Skill : anglais
Dépôt: OpenMontageInc/OpenMontage
Étoiles GitHub: 79 744Mis à jour: 27 juin 2026
- N°: 3 571
Dépôt: christopheryeo/claude-skills
Étoiles GitHub: 0Mis à jour: 23 mars 2026
- N°: 3 572
Dépôt: clawic/skills
Étoiles GitHub: 20Mis à jour: 27 juil. 2026
- N°: 3 573
Dépôt: code-yeongyu/oh-my-openagent
Étoiles GitHub: 70 860Mis à jour: 5 nov. 2026
- N°: 3 574
Dépôt: CoplayDev/unity-mcp
Étoiles GitHub: 15 897Mis à jour: 7 oct. 2026
- N°: 3 575
Dépôt: cursor/plugins
Étoiles GitHub: 16 051Mis à jour: 30 sept. 2026
- N°: 3 576
Dépôt: digoal/blog
Étoiles GitHub: 8 605Mis à jour: 16 juin 2026
- N°: 3 577
Dépôt: digoal/blog
Étoiles GitHub: 8 605Mis à jour: 24 avr. 2026
- N°: 3 578
Dépôt: DongsGit/skills
Étoiles GitHub: 0Mis à jour: 30 mars 2026
- N°: 3 579
Dépôt: dotnet/winforms
Étoiles GitHub: 4 882Mis à jour: 27 mars 2026
- N°: 3 580
Dépôt: eachlabs/skills
Étoiles GitHub: 44Mis à jour: 1 avr. 2026
- N°: 3 581
mix-engineerProfessional mixing methodology for audio engineering. Guides through pre-mix analysis, phase checking, gain staging, EQ decisions, compression selection, spatial processing, and automation. Encodes the decision-making process of a senior mix engineer backed by Phantom MCP measurement tools. Use this skill whenever the user wants to mix stems or tracks, balance a mix, make EQ or compression decisions, set up signal chains, choose compressor types, solve frequency conflicts between instruments, set up spatial processing (reverb, delay, panning), automate volume or effects, or compare their mix against a reference. Also use when the user mentions muddy mixes, harsh frequencies, buried vocals, kick/bass conflicts, or any mixing problem -- even if they don't say "mix" explicitly.Langue du contenu du Skill : anglais
Dépôt: fadelabs/phantom
Étoiles GitHub: 43Mis à jour: 7 sept. 2026
- N°: 3 582
Dépôt: github/awesome-copilot
Étoiles GitHub: 41 059Mis à jour: 19 janv. 2026
- N°: 3 583
Dépôt: holaboss-ai/holaOS
Étoiles GitHub: 11 440Mis à jour: 26 juil. 2026
- N°: 3 584
Dépôt: Jakeschincariol/unhinged-claude-skills
Étoiles GitHub: 40Mis à jour: 27 juin 2026
- N°: 3 585
Dépôt: jdsadminllc/awesome-design-skills
Étoiles GitHub: 0Mis à jour: 15 sept. 2026
- N°: 3 586
iso-standards-readinessPrepares and structurally reviews readiness evidence for ISO management-system and laboratory-competence standards - ISO 13485 medical device QMS, ISO 14971 device risk management, ISO/IEC 17025 testing and calibration laboratories, and ISO 15189 medical laboratories. Use when organizing declared scope, controlled documents, risk-management files, scope of accreditation, traceability, CAPA, external-provider controls, or bounded local evidence manifests, and when separating ISO certification from laboratory accreditation, FDA QMSR inspection, CLIA certification, MDSAP, and EU MDR/IVDR evidence boundaries. Not for legal applicability, compliance, certification, or accreditation decisions; contains no clause text.Langue du contenu du Skill : anglais
Dépôt: K-Dense-AI/scientific-agent-skills
Étoiles GitHub: 56 867Mis à jour: 1 oct. 2026
- N°: 3 587
pydicomReads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.Langue du contenu du Skill : anglais
Dépôt: K-Dense-AI/scientific-agent-skills
Étoiles GitHub: 56 867Mis à jour: 1 oct. 2026
- N°: 3 588
relsa-severity-assessmentSupports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint at a specified future observation time, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.Langue du contenu du Skill : anglais
Dépôt: K-Dense-AI/scientific-agent-skills
Étoiles GitHub: 56 867Mis à jour: 1 oct. 2026
- N°: 3 589
Dépôt: L-LesterYu/OpenClaw-hot-skills-zh
Étoiles GitHub: 57Mis à jour: 11 mars 2026
- N°: 3 590
Dépôt: larksuite/cli
Étoiles GitHub: 18 064Mis à jour: 18 sept. 2026
- N°: 3 591
Dépôt: larksuite/cli
Étoiles GitHub: 18 064Mis à jour: 17 sept. 2026
- N°: 3 592
Dépôt: LeastBit/Claude_skills_zh-CN
Étoiles GitHub: 607Mis à jour: 17 janv. 2026
- N°: 3 593
Dépôt: Leey21/arxiv-translator
Étoiles GitHub: 520Mis à jour: 21 juil. 2026
- N°: 3 594
Dépôt: liangdabiao/Amazon-Skills-Liang
Étoiles GitHub: 115Mis à jour: 19 avr. 2026
- N°: 3 595
Dépôt: liangdabiao/amazon-sorftime-research-MCP-skill
Étoiles GitHub: 1 117Mis à jour: 8 juil. 2026
- N°: 3 596
Dépôt: lifelonglazylearner/qu-ai-wei
Étoiles GitHub: 739Mis à jour: 10 sept. 2026
- N°: 3 597
Dépôt: lijigang/ljg-skills
Étoiles GitHub: 7 738Mis à jour: 26 oct. 2026
- N°: 3 598
Dépôt: LYL1015/JarvisHub
Étoiles GitHub: 623Mis à jour: 26 juil. 2026
- N°: 3 599
brand-promo-video-generatorFor marketers and creators producing promotional content for brands, products, websites, apps, shops, or personal projects. Users provide logos, product images, interface screenshots, official links, or other verifiable assets and confirm duration, aspect ratio, audience, and campaign focus. The Skill organizes brand facts and asset provenance, selects a narrative direction, plans precise beats and shots, generates needed imagery, video, voiceover, or music, and completes assembly and pre-delivery review. It outputs a promotional short that highlights product capabilities, use cases, and a call to action. Best for launches, website showcases, and social promotion; not for imitating real brand marks without authorized assets, inventing product claims, or producing long-form narrative films.Langue du contenu du Skill : anglais
Dépôt: MiniMax-AI/MiniMax-H3
Étoiles GitHub: 11 796Mis à jour: 10 août 2026
- N°: 3 600
orbit-generalOpen Orbit briefing skill — selected by the Orbit pipeline when the
user has two or more connectors connected. Pulls the past 24 hours of
activity from every authenticated connector (GitHub, Linear, Notion,
Slack, 飞书, Calendar, Gmail, Drive, Sentry, Vercel, …) and renders a
single adaptive bento-grid dashboard at the top of "我的设计". Each
connector module picks its own UI form (list, avatar stack, status
ring, heatmap, file grid, alert card, …) based on the data shape it
returns, so the layout scales as Orbit's connector ecosystem grows.
This skill should not be triggered manually — it is invoked by
Orbit's daily-digest scheduler against the user's live connector
data.Langue du contenu du Skill : anglais
Dépôt: nexu-io/open-design
Étoiles GitHub: 107 245Mis à jour: 27 juil. 2026