- Nr.: 601
cpo-advisorProduct leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, managing a product portfolio, measuring PMF, designing product teams, prioritizing at the portfolio level, reporting to the board on product, or when user mentions CPO, product strategy, product-market fit, product organization, portfolio prioritization, or roadmap strategy.Sprache des Skill-Inhalts: Englisch
Repository: alirezarezvani/claude-skills
GitHub-Sterne: 28.010Aktualisiert: 11. Juni 2026
- Nr.: 602
Repository: Hisn00w/ASu-skills
GitHub-Sterne: 5.550Aktualisiert: 15. Sept. 2026
- Nr.: 603
Repository: mattpocock/skills
GitHub-Sterne: 285.798Aktualisiert: 6. Okt. 2026
- Nr.: 604
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Mai 2026
- Nr.: 605
Repository: xiaofenggan01/aigc-reduce
GitHub-Sterne: 613Aktualisiert: 8. Juli 2026
- Nr.: 606
bmad-deep-reconResearch a topic to support a decision, three ways: draft a research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), turn a finished research report into a short summary with cited sources that other skills can use directly, or run the research here with parallel web searches. Built-in research types: market, domain, technical, competitive, user-voice, academic-lit; also supports choosing between candidates, and custom types via overrides. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "literature review", or "help me choose between"Sprache des Skill-Inhalts: Englisch
Repository: bmad-code-org/BMAD-METHOD
GitHub-Sterne: 54.034Aktualisiert: 29. Sept. 2026
- Nr.: 607
Repository: vinta/awesome-python
GitHub-Sterne: 326.607Aktualisiert: 10. Okt. 2026
- Nr.: 608
Repository: xpzouying/xiaohongshu-mcp
GitHub-Sterne: 16.208Aktualisiert: 27. Feb. 2026
- Nr.: 609
prompt-optimizerAnalyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never executes the task. Use when the user says 'optimize prompt', 'improve my prompt', 'rewrite this prompt', 'help me prompt', 优化prompt, 改进prompt, 怎么写prompt, or 帮我优化这个指令; not for requests to optimize code or performance.Sprache des Skill-Inhalts: Englisch
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 27. Sept. 2026
- Nr.: 610
video-content-strategistUse when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video. Triggers: 'start a YouTube channel', 'video content strategy', 'write a video script', 'repurpose into video', 'YouTube SEO', 'short-form video'. NOT for written blog content (use content-production). NOT for social captions without video (use social-media-manager).Sprache des Skill-Inhalts: Englisch
Repository: alirezarezvani/claude-skills
GitHub-Sterne: 28.010Aktualisiert: 11. Juni 2026
- Nr.: 611
Repository: worldwonderer/drama-skills
GitHub-Sterne: 805Aktualisiert: 18. Aug. 2026
- Nr.: 612
Repository: openclaw/openclaw
GitHub-Sterne: 391.533Aktualisiert: 4. Aug. 2026
- Nr.: 613
imageWhen the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Flux Kontext,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'ChatGPT Images,' 'Ideogram,' 'Gemini image,' 'Nano Banana,' 'Recraft,' 'Stable Diffusion,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.Sprache des Skill-Inhalts: Englisch
Repository: coreyhaines31/marketingskills
GitHub-Sterne: 54.170Aktualisiert: 3. Okt. 2026
- Nr.: 614
Repository: NousResearch/hermes-agent
GitHub-Sterne: 252.739Aktualisiert: 19. Sept. 2026
- Nr.: 615
email-marketingA brand product-launch email — masthead with wordmark, hero image block,
headline lockup with skewed-italic accent, body copy, primary CTA, and a
specifications grid. Pure HTML email layout (centered single column, table
fallback). Use when the brief asks for an "email", "newsletter blast",
"MJML", "product launch email", or "email template".Sprache des Skill-Inhalts: Englisch
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 616
Repository: NousResearch/hermes-agent
GitHub-Sterne: 252.739Aktualisiert: 19. Sept. 2026
- Nr.: 617
Repository: anbeime/skill
GitHub-Sterne: 7.837Aktualisiert: 26. Aug. 2026
- Nr.: 618
Repository: wzyn20051216/solidworks-automation-skill
GitHub-Sterne: 1.150Aktualisiert: 29. Aug. 2026
- Nr.: 619
embedded-systemsUse when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption. Invoke for STM32, ESP32, FreeRTOS, bare-metal, power optimization, real-time systems, configure peripherals, write interrupt handlers, implement DMA transfers, debug timing issues.Sprache des Skill-Inhalts: Englisch
Repository: Jeffallan/claude-skills
GitHub-Sterne: 11.820Aktualisiert: 3. Okt. 2026
- Nr.: 620
Repository: agentscope-ai/QwenPaw
GitHub-Sterne: 35.602Aktualisiert: 20. Apr. 2026
- Nr.: 621
Repository: EverMind-AI/Raven
GitHub-Sterne: 5.379Aktualisiert: 9. Sept. 2026
- Nr.: 622
Repository: digoal/blog
GitHub-Sterne: 8.588Aktualisiert: 7. Juni 2026
- Nr.: 623
content-creator-proAutonomous content creation engine for agents. Writes platform-native posts, threads, newsletters, and long-form articles that meet the highest standards of authentic human writing. Masters hooks, storytelling, and brand voice across Twitter/X, LinkedIn, Reddit, Substack, and short-form video. Applies professional editorial craft to ensure every piece reads with genuine voice and natural rhythm. Tracks performance, learns what works, and improves every week. Triggered by agent-shark-mindset signals. Feeds acquisition-master with ready-to-publish content. Use whenever the agent needs to write or queue content for any channel.Sprache des Skill-Inhalts: Englisch
Repository: LeoYeAI/openclaw-master-skills
GitHub-Sterne: 2.160Aktualisiert: 5. Mai 2026
- Nr.: 624
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 17. Mai 2026
- Nr.: 625
Repository: fastapi/fastapi
GitHub-Sterne: 103.015Aktualisiert: 8. Okt. 2026
- Nr.: 626
freecad-scriptsExpert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.Sprache des Skill-Inhalts: Englisch
Repository: github/awesome-copilot
GitHub-Sterne: 39.919Aktualisiert: 10. Apr. 2026
- Nr.: 627
officecliCreate, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.Sprache des Skill-Inhalts: Englisch
Repository: iOfficeAI/OfficeCLI
GitHub-Sterne: 31.842Aktualisiert: 9. Okt. 2026
- Nr.: 628
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 629
Repository: anbeime/skill
GitHub-Sterne: 7.837Aktualisiert: 26. Aug. 2026
- Nr.: 630
datavizUse this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. When the destination is a first-party document connector (host-designated, never self-described) that renders live charts, hand it the rows (inline, or as an uploaded data file the chart cites) rather than a rendered PNG/SVG — a picture of a chart loses hover, data inspection and per-value comments. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, markSprache des Skill-Inhalts: Englisch
Repository: asgeirtj/system_prompts_leaks
GitHub-Sterne: 69.392Aktualisiert: 27. Sept. 2026
- Nr.: 631
Repository: K-Dense-AI/scientific-agent-skills
GitHub-Sterne: 48.371Aktualisiert: 1. Okt. 2026
- Nr.: 632
Repository: yb2460/harness-anything
GitHub-Sterne: 2.244Aktualisiert: 6. Juli 2026
- Nr.: 633
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 3. Juni 2026
- Nr.: 634
ansys-fluent-mcpDrive an ANSYS Fluent solver session through the standalone
`ansys-fluent-mcp` MCP server. USE WHEN the user asks to load a
case/mesh, inspect physics, change settings, run iterations, or
query results — and the chat client is connected directly to the
MCP (VS Code Copilot, Cursor, Claude Desktop). EXPOSES a 22-tool
surface: `session_status`, `connect`, `disconnect`, `find_api`,
`get_help`, `get_state`,
`get_targeted_context`, `list_named_objects`, `find_named_object`,
`select_named_objects`, `summarize_setup`, `simulation_report`,
`solver_status`, `run_code`, `validate_code`, `screenshot`,
`mesh_quality`, `list_fields`, `compare_files`.
This is a STATELESS leaf: there is no plan/journal/rollback and no
`propose_step` / `finalize` planning machinery — `run_code` mutates
the live solver immediately. DO NOT USE FOR generic Python /
CFD-theory questions unrelated to Fluent.Sprache des Skill-Inhalts: Englisch
Repository: Cai-aa/CAE-Agent-Hub
GitHub-Sterne: 998Aktualisiert: 22. Aug. 2026
- Nr.: 635
Repository: digoal/blog
GitHub-Sterne: 8.588Aktualisiert: 17. Juni 2026
- Nr.: 636
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Juni 2026
- Nr.: 637
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 18. Sept. 2026
- Nr.: 638
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Juni 2026
- Nr.: 639
Repository: JuliusBrussee/caveman
GitHub-Sterne: 111.010Aktualisiert: 6. Okt. 2026
- Nr.: 640
Repository: pengxiaoan/autocad-dwg-redraw-skill
GitHub-Sterne: 230Aktualisiert: 23. Juni 2026
- Nr.: 641
Repository: xstongxue/best-skills
GitHub-Sterne: 2.970Aktualisiert: 19. Juli 2026
- Nr.: 642
Repository: HKUDS/CLI-Anything
GitHub-Sterne: 51.906Aktualisiert: 14. Juni 2026
- Nr.: 643
Repository: NomaDamas/k-skill
GitHub-Sterne: 7.868Aktualisiert: 15. Sept. 2026
- Nr.: 644
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Juni 2026
- Nr.: 645
Repository: alfonso0512/research-writing-skill
GitHub-Sterne: 488Aktualisiert: 15. Juli 2026
- Nr.: 646
lab-hardware-cadDesigns custom laboratory hardware as parametric build123d models and exports fabrication artifacts as STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research task needs a physical part that must mate with standardized labware, an optical table, a cage system, or a printer, CNC, or laser process.Sprache des Skill-Inhalts: Englisch
Repository: K-Dense-AI/scientific-agent-skills
GitHub-Sterne: 48.371Aktualisiert: 1. Okt. 2026
- Nr.: 647
Repository: TeamWiseFlow/xiaobei
GitHub-Sterne: 8.596Aktualisiert: 9. Okt. 2026
- Nr.: 648
Repository: hotcoffeeshake/tong-jincheng-skill
GitHub-Sterne: 2.860Aktualisiert: 22. Juni 2026
- Nr.: 649
ansys-structural-workbenchOperate or inspect live ANSYS Workbench Mechanical structural simulations through the configured MCP, including model setup, materials, connections, loads, mesh, solve, convergence, validation, and reporting. Use whenever a user asks Codex to create, configure, inspect, mesh, solve, troubleshoot, or validate a live Workbench structural analysis. Before model decisions or mutation, load ansys-workbench-practical-reference once as the book-distilled router and then the matching narrow reference Skill. Load static-modeling for every Static Structural task, plus nonlinear-contact for contact, friction, plasticity, large deformation, buckling, or nonlinear convergence. Do not use for theory-only questions or Fluent/CFX operation.Sprache des Skill-Inhalts: Englisch
Repository: Cai-aa/CAE-Agent-Hub
GitHub-Sterne: 998Aktualisiert: 1. Sept. 2026
- Nr.: 650
Repository: google-ai-edge/gallery
GitHub-Sterne: 24.915Aktualisiert: 2. Apr. 2026
- Nr.: 651
Repository: anthonylee991/gemini-superpowers-antigravity
GitHub-Sterne: 836Aktualisiert: 18. Jan. 2026
- Nr.: 652
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 653
Repository: googleworkspace/cli
GitHub-Sterne: 31.314Aktualisiert: 31. März 2026
- Nr.: 654
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Juni 2026
- Nr.: 655
Repository: 0xsline/OpenChatCut
GitHub-Sterne: 2.277Aktualisiert: 4. Sept. 2026
- Nr.: 656
memo-api墨墨背单词 MaiMemo Open API skill for vocabulary learning. Handles: 单词 vocabulary lookup (voc_id), 释义 interpretations (CRUD), 助记 mnemonics/notes, 云词本 notepads/word lists, 例句 phrases/example sentences, 学习数据 study progress/review schedule/study records. Triggers on: 墨墨, maimemo, 背单词, 释义, 助记, 云词本, 例句, study progress, review schedule, words due, forgotten words, study time, export study data.Sprache des Skill-Inhalts: Englisch
Repository: maimemo/memo-skills
GitHub-Sterne: 43Aktualisiert: 17. Juli 2026
- Nr.: 657
ui-ux-pro-maxUI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.Sprache des Skill-Inhalts: Englisch
Repository: davila7/claude-code-templates
GitHub-Sterne: 32.559Aktualisiert: 25. Jan. 2026
- Nr.: 658
Repository: deepseek-ai/deepseek-harness
GitHub-Sterne: 247.445Aktualisiert: 12. Sept. 2026
- Nr.: 659
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 11. Mai 2026
- Nr.: 660
editing-videosVideo editing using Volcengine Track structure. Supports cutting, trimming, adding text, stickers, audio, filters, effects, transitions, multi-clip compositions, speed adjustment, watermark removal. 视频剪辑、裁剪视频、添加文字、添加水印、添加音频、视频滤镜、视频特效、视频转场、多片段拼接、调整速度、去水印。Sprache des Skill-Inhalts: Englisch
Repository: yikart/AiToEarn
GitHub-Sterne: 26.439Aktualisiert: 17. März 2026
- Nr.: 661
consulting-analysisUse this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.Sprache des Skill-Inhalts: Englisch
Repository: bytedance/deer-flow
GitHub-Sterne: 83.689Aktualisiert: 25. Feb. 2026
- Nr.: 662
Repository: agentscope-ai/QwenPaw
GitHub-Sterne: 35.602Aktualisiert: 20. Apr. 2026
- Nr.: 663
Repository: K-Dense-AI/scientific-agent-skills
GitHub-Sterne: 48.371Aktualisiert: 1. Okt. 2026
- Nr.: 664
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 665
Repository: github/awesome-copilot
GitHub-Sterne: 39.919Aktualisiert: 24. Aug. 2026
- Nr.: 666
Repository: WUBING2023/PaperSpine
GitHub-Sterne: 5.877Aktualisiert: 21. Sept. 2026
- Nr.: 667
Repository: aimeoa/hanshuang-codex
GitHub-Sterne: 1.102Aktualisiert: 21. Sept. 2026
- Nr.: 668
Repository: 10291124jcjc-dotcom/ai-character-swap
GitHub-Sterne: 44Aktualisiert: 3. Okt. 2026
- Nr.: 669
Repository: NarratorAI-Studio/narrator-ai-cli-skill
GitHub-Sterne: 3.040Aktualisiert: 5. Juli 2026
- Nr.: 670
claude-apiReference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).
SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST Sprache des Skill-Inhalts: Englisch
Repository: anthropics/skills
GitHub-Sterne: 180.470Aktualisiert: 9. Okt. 2026
- Nr.: 671
Repository: bytedance/deer-flow
GitHub-Sterne: 83.689Aktualisiert: 23. Apr. 2026
- Nr.: 672
Repository: hashgraph-online/awesome-codex-plugins
GitHub-Sterne: 1.230Aktualisiert: 30. Sept. 2026
- Nr.: 673
Repository: MrGeDiao/shuorenhua
GitHub-Sterne: 2.057Aktualisiert: 11. Okt. 2026
- Nr.: 674
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 675
Repository: alchaincyf/nuwa-skill
GitHub-Sterne: 34.057Aktualisiert: 2. Juli 2026
- Nr.: 676
Repository: XiaoDuoYa/codex-with-chatgpt
GitHub-Sterne: 7.257Aktualisiert: 1. Okt. 2026
- Nr.: 677
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 17. Mai 2026
- Nr.: 678
imagegen-frontend-mobileElite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.Sprache des Skill-Inhalts: Englisch
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 2. Juni 2026
- Nr.: 679
Repository: nextlevelbuilder/goclaw-cli
GitHub-Sterne: 5Aktualisiert: 17. Apr. 2026
- Nr.: 680
chief-revenue-officerOwns the revenue engine end to end: sales, monetization, pricing, customer success, retention, and partnerships. Use this for pricing and packaging decisions, sales strategy and coverage, forecast and pipeline health, churn and expansion, partner and channel strategy, or when marketing-sourced demand is not converting. Also use to decide which segments to pursue and which to decline.Sprache des Skill-Inhalts: Englisch
Repository: cbrock84/headcount
GitHub-Sterne: 2.031Aktualisiert: 1. Sept. 2026
- Nr.: 681
Repository: dontbesilent2025/dbskill
GitHub-Sterne: 10.600Aktualisiert: 10. Okt. 2026
- Nr.: 682
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 3. Juni 2026
- Nr.: 683
Repository: zts212653/clowder-ai
GitHub-Sterne: 3.353Aktualisiert: 16. Sept. 2026
- Nr.: 684
Repository: HKUDS/CLI-Anything
GitHub-Sterne: 51.906Aktualisiert: 20. Mai 2026
- Nr.: 685
Repository: LeoYeAI/openclaw-master-skills
GitHub-Sterne: 2.160Aktualisiert: 15. Juni 2026
- Nr.: 686
data-scraper-agentBuild a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.Sprache des Skill-Inhalts: Englisch
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 25. Aug. 2026
- Nr.: 687
Repository: yrui-cmd/cell-lct
GitHub-Sterne: 386Aktualisiert: 6. Sept. 2026
- Nr.: 688
computer-useDrives the GUI of a visible local app window through `orca computer`: accessibility tree, clicks, typing, menus, dialogs, and screenshots in native apps and external browser windows (Chrome, Edge, Safari) or webviews. Prefer a programmatic path (shell, filesystem, git, HTTP, existing CLIs) whenever it can complete the task. Use only when a visible window needs GUI control those cannot reach. Do not use for Orca's embedded browser (`orca-cli`).Sprache des Skill-Inhalts: Englisch
Repository: stablyai/orca
GitHub-Sterne: 81.181Aktualisiert: 23. Sept. 2026
- Nr.: 689
academic-figure-skillAcademic-grade scientific figure creation for Nature/Cell/Science journals. Use when the user asks to create, polish, review, or export scientific figures for manuscript submission. DO NOT trigger for: interactive dashboards (Plotly/Bokeh/Altair), exploratory data analysis without publication intent, math function plots, pie/3D charts, PowerPoint slides, or Illustrator/Figma-first design. SKIP requests about statistical testing, data cleaning, literature review, or code debugging — these are not figure-making tasks.Sprache des Skill-Inhalts: Englisch
Repository: TingxiYu/academic-figure-skill
GitHub-Sterne: 479Aktualisiert: 12. Juli 2026
- Nr.: 690
Repository: thedaviddias/Front-End-Checklist
GitHub-Sterne: 74.431Aktualisiert: 4. Okt. 2026
- Nr.: 691
Repository: dzcmemory-web/bazi-ziwei-skill
GitHub-Sterne: 833Aktualisiert: 14. Juni 2026
- Nr.: 692
Repository: affaan-m/ECC
GitHub-Sterne: 276.549Aktualisiert: 3. März 2026
- Nr.: 693
Repository: Lucaswangzcx/literature-downloader-skill
GitHub-Sterne: 236Aktualisiert: 27. Apr. 2026
- Nr.: 694
clinical-case-reportStructured medical case presentation for clinical rounds, conferences,
and documentation. Generates SOAP-format or narrative case reports
with physiologically accurate vitals, labs, and evidence-based plans.
Use when the brief mentions "case report", "case presentation", "SOAP note",
"clinical case", "ward rounds", "case summary", or "patient presentation".Sprache des Skill-Inhalts: Englisch
Repository: nexu-io/open-design
GitHub-Sterne: 100.534Aktualisiert: 18. Aug. 2026
- Nr.: 695
Repository: LKQ667/metamath-harness
GitHub-Sterne: 20Aktualisiert: 20. Sept. 2026
- Nr.: 696
Repository: kangarooking/cangjie-skill
GitHub-Sterne: 11.174Aktualisiert: 30. Aug. 2026
- Nr.: 697
Repository: davila7/claude-code-templates
GitHub-Sterne: 32.559Aktualisiert: 25. Jan. 2026
- Nr.: 698
Repository: handsomestWei/patent-disclosure-skill
GitHub-Sterne: 11.295Aktualisiert: 8. Okt. 2026
- Nr.: 699
Repository: mvanhorn/last30days-skill
GitHub-Sterne: 63.959Aktualisiert: 11. Okt. 2026
- Nr.: 700
awesome-ai-research-writingAcademic paper writing, paper analysis, and research-side workflow kit for bilingual Chinese-English research work. Use when Codex needs to draft, translate, polish, shorten, expand, humanize, logic-check, explain long English sentences, read or analyze papers, produce reviewer-style reports, suggest model-improvement ideas from code or papers, generate paper-figure or UML prompts, or handle evidence-based research queries from notes, LaTeX, Markdown, PDFs, code, or full manuscripts. Especially useful when the user wants direct academic output rather than only a generic prompt template.Sprache des Skill-Inhalts: Englisch
Repository: lth0/codexSkill
GitHub-Sterne: 0Aktualisiert: 21. Juni 2026