- N.º: 1401
Repositorio: NousResearch/hermes-agent
Estrellas en GitHub: 262.813Actualizado: 10 oct 2026
- N.º: 1402
ziwei-doushu紫微斗數 (Zi Wei Dou Shu / Purple Star Astrology) divination skill. Use when users request astrolabe chart analysis, fortune telling based on birth date/time, or Chinese star astrology. Triggers on: 紫微斗數, 紫微, 斗數, 命盤, 排盤, 星盤, 十二宮, 命宮, 四化, 大限, 流年, ziwei, purple star, astrolabe.Idioma del contenido del Skill: chino
Repositorio: Wolke/ziwei-doushu
Estrellas en GitHub: 22Actualizado: 23 ene 2026
- N.º: 1403
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 7 mar 2026
- N.º: 1404
competitor-profilingWhen the user wants to research competitors into dated profiles, or asks what a rival charges, claims, or is doing, or whether a conclusion about them is fair: positioning, pricing, features, reviews, SEO, observed facts kept apart from inference. For comparison pages, see competitors. For battle cards, see sales-enablement. For accounts you sell to, see prospecting. For how a competitor grew, see reverse-engineer-marketing.Idioma del contenido del Skill: inglés
Repositorio: coreyhaines31/marketingskills
Estrellas en GitHub: 59.836Actualizado: 9 nov 2026
- N.º: 1405
Repositorio: doccker/cc-use-exp
Estrellas en GitHub: 1061Actualizado: 21 mar 2026
- N.º: 1406
Repositorio: HKUDS/Vibe-Trading
Estrellas en GitHub: 38.068Actualizado: 2 sept 2026
- N.º: 1407
Repositorio: huangbai-AI/one-prompt-video-skills
Estrellas en GitHub: 95Actualizado: 29 sept 2026
- N.º: 1408
generate-imageGenerates or edits images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow). Use for photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing from reference images. For flowcharts, circuits, pathways, and other technical diagrams, use the scientific-schematics skill instead.Idioma del contenido del Skill: inglés
Repositorio: K-Dense-AI/scientific-agent-skills
Estrellas en GitHub: 56.867Actualizado: 1 oct 2026
- N.º: 1409
Repositorio: LeoYeAI/openclaw-master-skills
Estrellas en GitHub: 2169Actualizado: 11 may 2026
- N.º: 1410
Repositorio: zhoutian1995/jianghushuo-skill
Estrellas en GitHub: 3Actualizado: 15 jul 2026
- N.º: 1411
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 28 sept 2026
- N.º: 1412
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 11 jun 2026
- N.º: 1413
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 30 sept 2026
- N.º: 1414
senior-computer-visionWorld-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.Idioma del contenido del Skill: inglés
Repositorio: davila7/claude-code-templates
Estrellas en GitHub: 33.360Actualizado: 20 dic 2025
- N.º: 1415
Repositorio: helloianneo/ian-xiaohei-illustrations
Estrellas en GitHub: 13.174Actualizado: 28 may 2026
- N.º: 1416
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 27 jul 2026
- N.º: 1417
Repositorio: pengchujin/livecanvas
Estrellas en GitHub: 549Actualizado: 10 oct 2026
- N.º: 1418
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 18 sept 2026
- N.º: 1419
Repositorio: anbeime/skill
Estrellas en GitHub: 9455Actualizado: 26 ago 2026
- N.º: 1420
Repositorio: anbeime/skill
Estrellas en GitHub: 9455Actualizado: 26 ago 2026
- N.º: 1421
Repositorio: benchflow-ai/skillsbench
Estrellas en GitHub: 1916Actualizado: 23 ene 2026
- N.º: 1422
Repositorio: LeoYeAI/openclaw-master-skills
Estrellas en GitHub: 2169Actualizado: 6 jul 2026
- N.º: 1423
Repositorio: microsoft/aibast-agents-library
Estrellas en GitHub: 8Actualizado: 9 nov 2026
- N.º: 1424
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 18 ago 2026
- N.º: 1425
Repositorio: NousResearch/hermes-agent
Estrellas en GitHub: 262.813Actualizado: 11 sept 2026
- N.º: 1426
Repositorio: openclaw/openclaw
Estrellas en GitHub: 394.354Actualizado: 15 ago 2026
- N.º: 1427
Repositorio: digoal/blog
Estrellas en GitHub: 8605Actualizado: 27 may 2026
- N.º: 1428
conducting-cyber-risk-assessment-with-nist-800-30Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and predisposing conditions, determine likelihood and impact, compute risk, and communicate results as a prioritized risk register. Use when an organization needs an actual risk *assessment* (not a maturity score), when a control framework (CSF, ISO 27001, RMF, SOC 2, PCI) requires a documented risk analysis as input, when leadership asks "what are our top risks and how bad are they", when assessing risk for a new system or major change, or when building a risk register from scratch. This is the methodology that feeds framework selection, ATO packages, and treatment decisions. Keywords: risk assessment, NIST 800-30, threat modeling, likelihood and impact, risk register, risk analysis, threat sources, vulnerabilities, risk determination, qualitative risk, risk matrix, residual risk, risk treatment.Idioma del contenido del Skill: inglés
Repositorio: mukul975/Anthropic-Cybersecurity-Skills
Estrellas en GitHub: 35.940Actualizado: 4 jun 2026
- N.º: 1429
Repositorio: ustc-ai4science/academic-search
Estrellas en GitHub: 706Actualizado: 5 sept 2026
- N.º: 1430
Repositorio: davila7/claude-code-templates
Estrellas en GitHub: 33.360Actualizado: 5 dic 2025
- N.º: 1431
Repositorio: xixihhhh/ai-short-drama-skill
Estrellas en GitHub: 87Actualizado: 29 ago 2026
- N.º: 1432
Repositorio: XTmingyue/wenfeng-skill
Estrellas en GitHub: 22Actualizado: 26 may 2026
- N.º: 1433
Repositorio: deepseek-ai/deepseek-harness
Estrellas en GitHub: 279.199Actualizado: 18 oct 2026
- N.º: 1434
andrej-karpathyApplies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs). Use this skill whenever you are helping the user build neural networks from scratch, debug deep learning pipelines, evaluate AI agent workflows, design LLM apps, or navigate the transition to Software 3.0 (vibe coding). It is highly relevant for pedagogy (untangling complex knowledge), assessing AI capabilities vs. limitations (jagged intelligence, tokenization limits), and architectural decisions (end-to-end optimization vs. complex pipelines). Reach for this whenever discussing LLM training, autonomous systems, or AI-assisted coding.Idioma del contenido del Skill: inglés
Repositorio: K-Dense-AI/mimeo
Estrellas en GitHub: 288Actualizado: 2 sept 2026
- N.º: 1435
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 7 sept 2026
- N.º: 1436
game-ui-designWorld-class game UI design expertise combining the clarity of Nintendo's UI philosophy, the immersive diegetic interfaces of Dead Space and Metroid Prime, and the competitive readability principles from esports titles. Game UI is the invisible bridge between player intent and game response. Great game UI serves the player without breaking immersion. It communicates critical information at a glance during intense action, guides new players without patronizing veterans, and adapts gracefully from 4K monitors to handheld screens and from keyboard to touch to controller. The best game UI designers understand that every pixel of screen space is sacred - borrowed from the game world itself. Use when "game ui, game interface, hud design, heads up display, game menu, inventory ui, health bar, stamina bar, game hud, minimap, crosshair, reticle, button prompt, controller ui, gamepad navigation, diegetic interface, in-world ui, quest tracker, damage numbers, cooldown indicator, radial menu, game tooltip, game-ui, hud, Idioma del contenido del Skill: inglés
Repositorio: omer-metin/skills-for-antigravity
Estrellas en GitHub: 200Actualizado: 22 ene 2026
- N.º: 1437
Repositorio: ruvnet/RuView
Estrellas en GitHub: 104.092Actualizado: 13 ene 2026
- N.º: 1438
Repositorio: tristan-mcinnis/pptx-from-layouts-skill
Estrellas en GitHub: 41Actualizado: 31 ene 2026
- N.º: 1439
architecture-design-master现代建筑设计 (从 concept 草图到施工图与现场服务的整套设计流程, 含 BIM / 可持续 / 参数化 / 在地性 模块, 全球语境 + 中国本土实践并重) (modern architecture design — 当代建筑设计 (concept → schematic → DD → CD → CA + sustainability / BIM / parametric / 中外双语 canon, 不含纯室内 / 景观 / 城市规划 / 结构 / MEP, 那些是相邻专业)) Master OS — automated mastery of modern architecture design — 当代建筑设计 (concept → schematic → DD → CD → CA + sustainability / BIM / parametric / 中外双语 canon, 不含纯室内 / 景观 / 城市规划 / 结构 / MEP, 那些是相邻专业): top builders' mental models, tool stack, current workflows, jargon, and where to keep up.
Trigger this skill when the user works on modern architecture design — 当代建筑设计 (concept → schematic → DD → CD → CA + sustainability / BIM / parametric / 中外双语 canon, 不含纯室内 / 景观 / 城市规划 / 结构 / MEP, 那些是相邻专业) problems and wants industry-grade thinking, tool selection, or workflow guidance.
触发词:「建筑设计」「建筑师」「建筑事务所」「设计院」「方案设计」Idioma del contenido del Skill: chino
Repositorio: swaylq/master-skill
Estrellas en GitHub: 180Actualizado: 17 may 2026
- N.º: 1440
Repositorio: anbeime/skill
Estrellas en GitHub: 9455Actualizado: 26 ago 2026
- N.º: 1441
scikit-learnSupports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.Idioma del contenido del Skill: inglés
Repositorio: K-Dense-AI/scientific-agent-skills
Estrellas en GitHub: 56.867Actualizado: 1 oct 2026
- N.º: 1442
language-learning-planBuild a realistic plan to learn a language for your actual goal — travel, conversation, work, or fluency — focused on what moves the needle instead of endless app streaks. Use when asked to help me learn [language], make a language learning plan, how do I get conversational, or study a language efficiently. Produces a goal-and-level read, a prioritized plan (the high-frequency vocab and core patterns first), a daily/weekly routine mixing input, speaking, and review, how to get real practice and feedback, milestones, and honest expectations — not a promise of fluency in a month.Idioma del contenido del Skill: inglés
Repositorio: mohitagw15856/pm-claude-skills
Estrellas en GitHub: 1320Actualizado: 5 ago 2026
- N.º: 1443
Repositorio: digoal/blog
Estrellas en GitHub: 8605Actualizado: 18 jun 2026
- N.º: 1444
Repositorio: github/awesome-copilot
Estrellas en GitHub: 41.059Actualizado: 7 ago 2026
- N.º: 1445
Repositorio: guoleizhen717/codex-origin-plot
Estrellas en GitHub: 19Actualizado: 30 jun 2026
- N.º: 1446
Repositorio: Johell1NS/browser-search
Estrellas en GitHub: 543Actualizado: 22 oct 2026
- N.º: 1447
Repositorio: KKKKhazix/khazix-skills
Estrellas en GitHub: 22.183Actualizado: 8 nov 2026
- N.º: 1448
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 18 ago 2026
- N.º: 1449
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 27 jul 2026
- N.º: 1450
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 18 ago 2026
- N.º: 1451
backend-performance-reviewReviews backend codebases for performance bottlenecks using an evidence-first, workload-driven methodology. Use when investigating latency, throughput, slow endpoints, database or query performance, N+1 queries, connection pool exhaustion, event-loop blocking, lock contention, memory or CPU pressure, queue lag, or timeout and retry storms — and when asked to audit, review, or improve the performance or scalability of a backend service, API, worker, or data layer. Trigger phrases include "performance review", "why is this slow", "audit performance", "find bottlenecks", "will this scale", "review this service for performance", "perf review of this PR". Works on any language, framework, runtime, or datastore.Idioma del contenido del Skill: inglés
Repositorio: Sanoy24/backend-performance-review
Estrellas en GitHub: 8Actualizado: 9 oct 2026
- N.º: 1452
Repositorio: zenstory-ai/oh-story-claudecode
Estrellas en GitHub: 8531Actualizado: 8 nov 2026
- N.º: 1453
doclingUse Docling to understand the content of documents in any supported format — PDF (born-digital or scanned), DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and XML — by converting them into a unified DoclingDocument (Markdown or structured JSON). Use this skill whenever you need to read, parse, convert, extract, or chunk a document you cannot read directly: "what's in this PDF", "convert this to markdown", "extract the tables", "chunk this for RAG", "read this scanned document", "parse this DOCX/PPTX". Covers the `docling` CLI, the Python SDK (DocumentConverter + PipelineOptions), the remote Service Client (self-hosted or managed docling-serve), and the docling-slim install extras for a minimal dependency footprint.Idioma del contenido del Skill: inglés
Repositorio: docling-project/docling
Estrellas en GitHub: 70.465Actualizado: 6 nov 2026
- N.º: 1454
minecraft-plugin-developmentUse this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior".Idioma del contenido del Skill: inglés
Repositorio: github/awesome-copilot
Estrellas en GitHub: 41.059Actualizado: 28 abr 2026
- N.º: 1455
Repositorio: phuryn/pm-skills
Estrellas en GitHub: 27.898Actualizado: 3 mar 2026
- N.º: 1456
Repositorio: TerminalSkills/skills
Estrellas en GitHub: 192Actualizado: 25 oct 2026
- N.º: 1457
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 18 sept 2026
- N.º: 1458
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 22 mar 2026
- N.º: 1459
Repositorio: alirezarezvani/claude-skills
Estrellas en GitHub: 29.673Actualizado: 30 oct 2026
- N.º: 1460
Repositorio: ECNU-ICALK/AutoSkill
Estrellas en GitHub: 610Actualizado: 13 mar 2026
- N.º: 1461
Repositorio: infometa/workbuddyskills
Estrellas en GitHub: 424Actualizado: 21 jul 2026
- N.º: 1462
Repositorio: a5c-ai/babysitter
Estrellas en GitHub: 1905Actualizado: 1 jun 2026
- N.º: 1463
defi-amm-securitySecurity checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math. Use when auditing or writing Solidity AMM, liquidity pool, or swap code.Idioma del contenido del Skill: inglés
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 12 ago 2026
- N.º: 1464
Repositorio: brycewang-stanford/Auto-Empirical-Research-Skills
Estrellas en GitHub: 5006Actualizado: 18 jun 2026
- N.º: 1465
Repositorio: bytedance/deer-flow
Estrellas en GitHub: 85.264Actualizado: 24 oct 2026
- N.º: 1466
ml-paper-writingWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.Idioma del contenido del Skill: inglés
Repositorio: davila7/claude-code-templates
Estrellas en GitHub: 33.360Actualizado: 29 ene 2026
- N.º: 1467
Repositorio: emilkowalski/skills
Estrellas en GitHub: 56.198Actualizado: 2 nov 2026
- N.º: 1468
Repositorio: foryourhealth111-pixel/Vibe-Skills
Estrellas en GitHub: 3817Actualizado: 12 mar 2026
- N.º: 1469
paper-polishPolishes existing academic prose while preserving the author's meaning: grammar and flow repair, tone calibration against evidence strength, AI-tone removal, and Chinese-to-English rewriting at submission quality. Never fabricates data, citations, or claims, and flags any edit that could change scientific meaning. Use when the user asks to polish a draft, fix awkward wording, remove AI flavor, translate a Chinese manuscript into publishable English, or tone down overclaiming.Idioma del contenido del Skill: inglés
Repositorio: HKUSTDial/Supervisor-Skills
Estrellas en GitHub: 12.333Actualizado: 4 jul 2026
- N.º: 1470
Repositorio: LeoYeAI/openclaw-master-skills
Estrellas en GitHub: 2169Actualizado: 4 may 2026
- N.º: 1471
Repositorio: liangdabiao/ecom-video-seedance-prompt
Estrellas en GitHub: 115Actualizado: 26 ago 2026
- N.º: 1472
Repositorio: mattpocock/skills
Estrellas en GitHub: 322.143Actualizado: 13 jul 2026
- N.º: 1473
Repositorio: mukul975/Anthropic-Cybersecurity-Skills
Estrellas en GitHub: 35.940Actualizado: 2 ago 2026
- N.º: 1474
Repositorio: openclaw/openclaw
Estrellas en GitHub: 394.354Actualizado: 1 jul 2026
- N.º: 1475
ssci-polishPolish English academic papers for SSCI journal submission. This skill checks grammar, improves readability, and enhances academic tone. Use when the user asks to polish, proofread, edit, or improve their English academic paper, manuscript, or article — especially when targeting SSCI, SCI, or other international journals. Also use when the user asks to "润色", "修改语法", "提升学术性", "polish my paper", or mentions their paper needs language improvement for journal submission. Always trigger on any request involving academic English polishing, even if the user doesn't explicitly say "SSCI."Idioma del contenido del Skill: inglés
Repositorio: brycewang-stanford/Auto-Empirical-Research-Skills
Estrellas en GitHub: 5006Actualizado: 15 jul 2026
- N.º: 1476
Repositorio: itgoyo/hermes-skills
Estrellas en GitHub: 79Actualizado: 22 abr 2026
- N.º: 1477
conducting-gdpr-compliance-assessmentConduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.Idioma del contenido del Skill: inglés
Repositorio: mukul975/Anthropic-Cybersecurity-Skills
Estrellas en GitHub: 35.940Actualizado: 24 ago 2026
- N.º: 1478
Repositorio: autoagc/linkpix-skills
Estrellas en GitHub: 28Actualizado: 16 oct 2026
- N.º: 1479
ponytail-auditQuality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.Idioma del contenido del Skill: inglés
Repositorio: DietrichGebert/ponytail
Estrellas en GitHub: 189.221Actualizado: 8 oct 2026
- N.º: 1480
Repositorio: HaichaoLihc/create-photo-flipbook-ui
Estrellas en GitHub: 661Actualizado: 20 oct 2026
- N.º: 1481
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 18 ago 2026
- N.º: 1482
faceless-channelUse only when the user asks to produce a finished multi-scene narrator-led
video and explicitly requests a faceless channel, YouTube automation, narrated
explainer/story/education, documentary, storybook or myth retelling, or kids
song video. Topic alone is never enough: a generic video of/about something,
including a historical topic, uses ordinary video generation. Do not use for
planning or ideas, single clips, silent animation, image-to-video, footage
edits, ads, product demos, or UGC. This workflow requires a consistent
non-photoreal style, reusable assets, narrator voiceover, and burned subtitles.Idioma del contenido del Skill: inglés
Repositorio: openai/plugins
Estrellas en GitHub: 7904Actualizado: 27 ago 2026
- N.º: 1483
Repositorio: brycewang-stanford/Auto-Empirical-Research-Skills
Estrellas en GitHub: 5006Actualizado: 18 jun 2026
- N.º: 1484
Repositorio: BZDmathclub/bzd-math-modeling-skills
Estrellas en GitHub: 433Actualizado: 3 sept 2026
- N.º: 1485
Repositorio: chatfire-AI/huobao-drama
Estrellas en GitHub: 17.250Actualizado: 5 sept 2026
- N.º: 1486
Repositorio: wshobson/agents
Estrellas en GitHub: 42.429Actualizado: 7 mar 2026
- N.º: 1487
Repositorio: agentscope-ai/QwenPaw
Estrellas en GitHub: 37.631Actualizado: 12 nov 2026
- N.º: 1488
Repositorio: kangarooking/cangjie-skill
Estrellas en GitHub: 12.778Actualizado: 30 ago 2026
- N.º: 1489
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 11 may 2026
- N.º: 1490
Repositorio: Smoothsailing0/Data-
Estrellas en GitHub: 97Actualizado: 31 ago 2026
- N.º: 1491
Repositorio: Zhujian-Liang/verilog-design-skill
Estrellas en GitHub: 28Actualizado: 23 may 2026
- N.º: 1492
product-strategyCreate a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating a strategic plan, or defining product direction.Idioma del contenido del Skill: inglés
Repositorio: phuryn/pm-skills
Estrellas en GitHub: 27.898Actualizado: 3 mar 2026
- N.º: 1493
Repositorio: loveT111111/crxs-novel-writer
Estrellas en GitHub: 19Actualizado: 9 jul 2026
- N.º: 1494
Repositorio: HenryLiu0405/njupt-thesis-skill
Estrellas en GitHub: 6Actualizado: 13 jun 2026
- N.º: 1495
Repositorio: affaan-m/ECC
Estrellas en GitHub: 301.144Actualizado: 29 oct 2026
- N.º: 1496
Repositorio: alirezarezvani/claude-skills
Estrellas en GitHub: 29.673Actualizado: 30 oct 2026
- N.º: 1497
Repositorio: lobehub/lobehub
Estrellas en GitHub: 85.067Actualizado: 7 sept 2026
- N.º: 1498
canvas-appCreates or edits a Power Apps Canvas App through the Canvas Authoring MCP coauthoring session. Handles staged experience design, direct and partitioned targeted edits, planned multi-screen changes, responsive layout, and compile-error convergence. Trigger on requests to create, build, generate, modify, update, change, fix, or edit a Canvas App or .pa.yaml files.Idioma del contenido del Skill: inglés
Repositorio: microsoft/power-platform-skills
Estrellas en GitHub: 1136Actualizado: 9 oct 2026
- N.º: 1499
Repositorio: nexu-io/open-design
Estrellas en GitHub: 107.245Actualizado: 31 jul 2026
- N.º: 1500
Repositorio: NousResearch/hermes-agent
Estrellas en GitHub: 262.813Actualizado: 24 jul 2026