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GEODE evidence-first development workflow. Use for feature work, provider/model changes, GUI/computer-use work, PDF/document ingestion, observability/schema/event/state changes, verification planning, GitFlow merge prep, and requests to "follow the workflow" or "scaffold the process".
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Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields
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Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
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Author tutorial-style documentation for the gatOS Astro/Starlight docs site (under site/) — the progressive `guides/` series that teaches writing flight-computer / autopilot programs against the gatOS /sim filesystem and its HTTP /v1 mirror. Use this when asked to write, add, or revise a gatOS tutorial or guide, plan the tutorial curriculum, or turn a /sim feature into a lesson. Covers the house style, Starlight/MDX mechanics, the dual-transport (/sim file + HTTP) presentation convention, the reusable code-snippet library, and the beginner→advanced tutorial ladder. Pairs with the `gatos` skill (how the sim works) and docs/TUTORIAL_DATA_REFERENCE.md (the data tutorials are built from).
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Write scripts and programs against gatOS — the KSA mod that exposes live Kitten Space Agency simulation state as a 9P filesystem at /sim (also over HTTP /v1, MQTT, and an AI-oriented MCP server). Use this when asked to read game/celestial/vehicle telemetry, control vehicles (throttle, ignite, staging, attitude, burns, RCS, lights, docking), use game/debug controls (teleport, impulse kick, refuel, time-warp, switch vessel), direct the in-game camera / author cinematic shots and tracks, schedule timed command sequences, or write flight-computer / autopilot programs. Covers the full /sim catalog, the command model, KSA coordinate frames, and worked Bun/TypeScript + Rust examples.
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Expert-level neural engineering covering neural interfaces, brain-computer interfaces, neural signal processing, deep brain stimulation, and neuroprosthetics.
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Expert-level graph theory knowledge. Use when working with graph algorithms, network flows, matching, graph coloring, planar graphs, spectral graph theory, random graphs, or graph applications in computer science and networks. Also use when the user mentions 'shortest path', 'minimum spanning tree', 'network flow', 'bipartite matching', 'graph coloring', 'clique', 'independent set', 'vertex cover', 'planarity', 'graph isomorphism', 'adjacency matrix', or 'Laplacian'.
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Universal desktop application controller for Windows. Automate any desktop app — send messages, click buttons, type text, take screenshots, and interact with native Windows applications. Use this skill when the user asks to: "control my computer", "automate desktop", "send a message on [any chat app]", "click on [something]", "type into [app]", "take a screenshot", "操控电脑", "自动化桌面", "给某某发消息", "打开某某软件", "截个屏", or any task involving interacting with Windows desktop applications. WeChat triggers: "send a WeChat message", "message someone on WeChat", "打开微信发消息", "给某某发微信", "微信发送", "微信发消息", "用微信发", "帮我发微信". Email/Web triggers: "打开邮箱", "发邮件", "send email", "open browser", "操控浏览器", "网页操作". Supports: WeChat, WeCom, DingTalk, Feishu/Lark, QQ, Telegram, Slack, Teams, any browser-based web app, and any other Windows desktop application. Inspired by OpenAI's playwright-interactive skill, combining code-based automation with visual screenshot feedback loops. ROUTING: For web/Electron apps (email, Slack, browser), prefer Playwright with CSS selectors for speed and precision. For native desktop apps (WeChat, QQ, DingTalk), use Win32 API automation.
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Geração de imagens com tecnologia de ponta usando Stable Diffusion via HuggingFace Diffusers. Use quando gerar imagens a partir de prompts em texto, realizar tradução de imagem para imagem, inpainting ou construir pipelines de difusão customizados.
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Modelo de fundação para segmentação de imagens com transferência zero-shot. Use quando precisar segmentar qualquer objeto em imagens usando pontos, caixas ou máscaras como prompts, ou gerar automaticamente todas as máscaras de objetos em uma imagem.
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Use when designing a user-initiated macOS emergency switch that helps the user save context before stopping, switching tasks, or leaving the computer — capture must be transparent, local-first, and easy to delete.
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Audit or update this Windows computer's fixed third-party Codex helper toolchain when the user requests local helper-tool maintenance. Always show the complete registered list and obtain confirmation for each update group; exclude Codex itself and general runtimes unless explicitly added.
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Plan, scaffold, implement, and integrate a complete new emulated computer or console in the EMULATORS repository. Use when Codex creates a new machine, platform, hardware model, or emulator executable; decides which existing CPUs, chips, memory, I/O, video, sound, ROM, and framework classes to reuse or extend; or coordinates several emulator subsystems into a bootable tested system.
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Efficiently extract and convert the contents of any local file—such as PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, or HTML—into clean, well-formatted markdown saved to disk. Use this skill whenever the user requests to parse, read, or extract information from a file on their computer, including phrases like “parse this PDF”, “convert this document”, “read this file”, “extract text from”, or when a local file path (not a URL) is provided. This skill offers advanced options like generating AI-powered summaries and answering questions based on the file's content. Prefer this tool over `scrape` when handling local files to deliver precise, structured outputs for downstream tasks.
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Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory.
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Read this machine's cross-machine mailbox, the messages another computer's agent left here over a file-synced bus folder, and send messages back the same way. A session-start hook shows new mail automatically; this is the on-demand mid-session re-check. Triggers: "/inbox", "check inbox", "messages from the other machine".
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Move or sync the hub role of an agent-plus-vault setup between computers, where an always-on desktop is the hub and laptops are satellites. Checklist with counters verified before and after, and it never migrates silently. Triggers: "/migrate", "/migrate check", "/migrate pack", "/migrate bootstrap".
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Reconstructed reference notes on US NRC software assurance guidance for digital computer software in nuclear power plant safety systems, built from seven public-domain sources (Regulatory Guide 1.168 Revision 2, July 2013; Regulatory Guides 1.169, 1.170, 1.171, 1.172, and 1.173 Revision 1, July 2013; NUREG-0800 Branch Technical Position 7-14 Revision 6, August 2016; pinned 2026-10-12). Use for software life cycle process questions, software requirements specifications, software configuration management plans, verification and validation with reviews and audits, test documentation and unit testing, and what NRC staff examine in a BTP 7-14 software review of plans, implementation, and design outputs. SCOPE LIMITS: NRC Regulatory Guides and the BTP 7-14 staff review position only; the endorsed IEEE standards (IEEE Std 603-1991, 7-4.3.2-2003, 828-2005, 829-2008, 830-1998, 1008-1987, 1012-2004, 1028-2008, 1074-2006), IEC 60880, IEC 61513, IEC 62138, and IAEA guides are cited by designation and edition only, with no standard text; RG 1.152 Rev 4, BTP 7-18, BTP 7-19, other SRP Chapter 7 sections, and NUREG/CR contractor reports are outside the pack; reflects the pinned 2013 and 2016 editions, not later agency actions; synthesized reference notes, not legal or licensing advice and not a substitute for the source documents. LICENCE: Public Domain (US Government work, 17 U.S.C. § 105).
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Reconstructed reference notes on US FDA medical-device software regulation, built from seven public-domain FDA sources (the QMSR final rule 89 FR 7496, FDA device software guidance documents, and the eSTAR program page; pinned 2026-10-12). Use for regulatory pathways and premarket submissions (510(k), De Novo, PMA, eSTAR), premarket software documentation levels (Basic or Enhanced), software validation and Computer Software Assurance, the Quality Management System Regulation (QMSR, 21 CFR 820), medical-device cybersecurity (secure product development, SBOMs, FD&C Act section 524B, labelling), clinical decision support boundaries, off-the-shelf software, MDDS and other software-function scope questions, and the 510(k) software-change trigger. SCOPE LIMITS: US FDA device regulation only; no EU MDR or UKCA content (see `med-device-eu`); no ISO 13485, ISO 14971, or IEC 62304 text, which are named and summarized only as FDA obligations; no drug, biologic, or combination-product rules; reflects the pinned source dates, not later FDA actions; synthesized reference notes, not legal advice and not a substitute for the guidance documents. LICENCE: Public Domain (US Government work, 17 U.S.C. 105).
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Neuromorphic Computing - Fraunhofer Institute for … — Neuromorphic computing is a field of technology aimed at designing computer architectures that m
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Knowledge base from the FAA Human Factors Design Standard (HF-STD-001B, 2016) — the FAA's consolidated human-factors / human-systems-integration design criteria for systems it manages, operates, or maintains. Use for requirement-level design rules on: general human-factors design principles; automation and function allocation; designing equipment for maintenance; displays, controls, and visual indicators; alarms, audio, and voice communications; the computer-human interface (information presentation, coding, interaction styles, windows, dialogue); keyboards, input devices, and workstation/workplace ergonomics; system security, personnel safety, environment, anthropometry, and user documentation; plus intended-use and tailoring guidance. It is a quantified, source-attributed synthesis (heavily citing MIL-STD-1472G, MIL-HDBK-759C, DOD-HFDG-ATCCS, NUREG-0700, NASA-STD-3000, ANSI, OSHA, ISO 9241). Complements nasa-hsi as a parallel HSI tradition from the civil-aviation domain. Scope limits: it is design criteria, NOT an HSI lifecycle/process model (use nasa-hsi, nasa-npr-7123, or dau-se-guidebook for process); it does NOT reproduce the third-party standards it cites; it is FAA-acquisition-oriented (ATC, towers, TRACONs, airway facilities), not a general consumer-UX guide; and it is thin on modern touchscreen/mobile, web, and AI-driven interface patterns and on quantitative human-reliability analysis.
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Knowledge base from MIL-HDBK-516C (Airworthiness Certification Criteria). Use for DoD air-system airworthiness planning: tailoring a certification basis, systems engineering criteria, and domain clusters for structures, flight technology, propulsion/installation, avionics/electrical/E3/diagnostics, computer systems/software, and crew systems (including applicable UAS control-station elements). Qualitative guidance handbook — not raw contractual requirements. Does not replace service airworthiness authority policy, civil FAA certification rules as authorities, or detailed JSSG/MIL performance specs.
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Drive the user's host machine directly through Cua, with no sandbox. Maps to Cua's Localhost API. Higher risk - the agent can click, type, and run shell commands on the real desktop. Use only when the user explicitly opts in and read the safety section first. Triggers - "control my computer", "click here", "use my real Chrome", "no sandbox", "내 컴퓨터 자동화".
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Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
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