99건 · 관련도순
Review open GitHub issues, proposals, and pull requests to identify useful maintainer work. Get ranked candidates with evidence, dependencies, and validation needs, then begin work only on an item you explicitly select.
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Work through the first hours and days after a disaster — a fire, flood, storm, or evacuation — in the right order: safety and people first, then documenting for insurance and aid, then the immediate recovery steps, without missing the things that cost money or health later. Use when someone says 'my house flooded/burned', 'what do I do after the disaster', 'we just evacuated, now what', or 'the storm damaged everything'. Produces a triaged action plan (safety → document → claim → recover), the do-not-miss list, and where to get help. Not legal advice; routes to emergency services and official aid.
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Dung khi can lan toa qua group va cong dong mot cach that — chon group, ho so nguoi tham gia that, kich ban bai va comment, lich dang, va gioi han de khong bi ban. Kich hoat khi user nhac 'seeding', 'dang bai vao group', 'lan toa cong dong', 'ke hoach seeding', 'marketing cong dong', 'vao group ban hang'. Khong dung cho — caption tren trang cua minh thi dung skill 37-caption-social; thue KOC quay ho thi dung skill 06-brief-ugc-egc; xay cong dong cua rieng minh thi dung skill 28-community-building.
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Analiza textos aplicando pensamiento crítico — el marco de los 8 elementos del pensamiento y los estándares intelectuales universales de Richard Paul y Linda Elder — y detecta las falacias lógicas graves presentes. Úsala siempre que el usuario comparta un texto (pegado o en un archivo) y pida analizarlo críticamente, detectar falacias, evaluar argumentos, identificar sesgos, o preguntas como "¿qué problemas tiene este argumento?", "¿es sólido este razonamiento?", "analiza esto", "dame una crítica". También actívala cuando el usuario comparta un artículo de opinión, un post, un discurso, un ensayo o cualquier texto argumentativo y quiera evaluar su calidad argumentativa.
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Adecuar un proyecto Python YA EXISTENTE (legacy o con motor viejo embebido) al motor portable, orquestando las skills y scripts existentes en el orden correcto. Usar cuando se incorpora un repo con codigo previo como repo_destino. No usar para un destino nuevo o limpio (ver setup-agent-system) ni para crear un proyecto desde cero (ver scaffold-python-project).
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Redacta y crea un issue de GitHub rellenando la plantilla adecuada de .github/ISSUE_TEMPLATE/ según el tipo (bug, funcionalidad o tarea). Úsalo cuando la persona pida abrir/crear un issue, reportar un bug o registrar una tarea/petición (p. ej. "abre un issue por este bug", "crea un issue para la nueva funcionalidad", "registra esta tarea"). No cierra ni comenta issues existentes.
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Audita una vista o componente frente al design system en lo que un script no puede comprobar — estados de interacción, los cuatro estados de datos, primitivas nativas frente a componentes reinventados y jerarquía visual. Úsalo cuando la persona pida revisar el cumplimiento del design system o si un componente sigue las guías (p. ej. "¿esta tarjeta sigue nuestro sistema?", "audita la vista de ajustes").
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Revisa los cambios de UI en cuanto a accesibilidad — contraste de color, navegación por teclado, gestión del foco, uso de ARIA y texto alternativo. Úsalo cuando la persona pida una revisión de a11y/accesibilidad, verificar el cumplimiento de WCAG, el soporte de teclado, la compatibilidad con lectores de pantalla o el manejo del foco (p. ej. "¿es accesible este modal?", "audita la a11y del formulario").
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Computer Use Agent — autonomous browser control via Steel, Browser Use, and Browserbase cloud providers. Supports headful CDP sessions, CAPTCHA solving, proxy rotation, live view, session recording/replay, Playwright/Puppeteer integration, and LLM-driven visual browsing. Use when asked about computer use, browser automation, web scraping, Steel sessions, cloud browsers, headful browsing, CAPTCHA solving, or autonomous web navigation.
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Sistema completo de due diligence para transacciones M&A en España. Abarca análisis jurídico (mercantil, regulatorio, compliance), fiscal (CIT, IVA, retenciones, facturación electrónica) y medioambiental (licencias, pasivos, responsabilidad). Incluye matrices de riesgo cuantitativas, workflows de ejecución, templates de informes y referencias normativas BOE/UE/ISO actualizadas. Úsalo cuando el usuario solicite due diligence en España, análisis de riesgos transaccionales, evaluación pre-adquisición o auditoría de cumplimiento normativo para share deals o asset deals.
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Audita calidad de código Kotlin/Spring Boot en este proyecto. Úsalo cuando el usuario pida revisar código, verificar estándares, hacer un code review, auditar calidad, ejecutar linters, verificar cobertura, o antes de hacer commit/PR. También úsalo cuando mencionen KTLint, Detekt, JaCoCo, cobertura, o simplemente digan "revisa el código" / "está listo para commit" / "qué tan bueno está el código".
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Genera tickets profesionales de soporte para Meta Business Suite / WhatsApp Business API optimizados para recibir prioridad URGENTE 24hr resolution. Úsala SIEMPRE que el usuario mencione crear un ticket a Meta, escalar un caso WABA, apelar un ban o restricción, reportar un false positive, abrir caso de soporte WhatsApp Business, problema de onboarding, rechazo de template, errores de Cloud API, OTP delivery, verification stuck, BM restricted, display name rejection, o cualquier issue de una WhatsApp Business Account. También activa cuando el usuario dice frases como "ayúdame a redactar un caso para Meta", "necesito reportar esto a soporte", "hay que escalar esto a WhatsApp", "ticket para Meta", o describe un problema de una cuenta de cliente de Vambe sin pedir ticket explícitamente pero claramente necesita uno. También activa ante preguntas del tipo "¿cómo apelar esto?" o "¿qué hago si Meta dice X?" relacionadas con WABA, BM o verificación.
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Use when you need to visually interact with a GUI — test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Install: pip install cua.
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Build AI agents that inspect screenshots, choose actions, and operate a mouse and keyboard. Covers the observation and action loop, desktop control examples, and isolated environments that restrict access to files, credentials, and networks.
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Read and operate desktop applications through their interfaces, including clicks, text entry, menus, and scrolling. Use it to inspect or edit app content when a dedicated connector, API, or command-line tool cannot handle the task.
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Pick the right LLM for LEGAL INFO EXTRACTION — pulling facts, clauses, dates, parties, obligations, and structured fields out of contracts and legal documents. Vendor-neutral routing grounded in mid-2026 benchmarks (legalbenchmarks.ai Info Extraction; CUAD/MAUD/ACORD). Asks up to 4 quick questions (cost, speed, accuracy/stakes, privacy/jurisdiction/language), then recommends a primary model + fallback + what to avoid + what a human must verify. Use when someone asks "which model should I use to extract clauses/data from these documents", "best AI for contract data extraction", "route this extraction task", or is about to pull structured fields from legal docs without a fixed model.
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Routes any legal task to the right LLM, like OpenRouter but for legal work and grounded in benchmarks instead of brand loyalty. Built from mid-2026 legal evals (legalbenchmarks.ai, Vals AI × Stanford LegalBench across 124 models, Harvey's Legal Agent Benchmark, the Atticus Project's CUAD/MAUD/ACORD) plus translation evidence (WMT25, SwiLTra-Bench, ArabLegalEval). Covers five verticals: contract drafting, info extraction, legal research, contract review, and legal translation (including Arabic/MENA). Each asks up to four questions (cost, speed, accuracy/stakes, privacy/jurisdiction/language), then returns a primary model, a fallback, what to avoid, and what a human must verify. Core principle: capability is not controllability, so every route ends with a verification step. Not legal advice; a lawyer owns the output.
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Asistente jurídico experto en derecho chileno. Úsalo cuando el usuario haga consultas sobre normativa, códigos, procedimientos o jurisprudencia de Chile y necesite respuestas fundamentadas con cita de ley y artículo y una fuente verificable (BCN). No usar para derecho de otros países ni como reemplazo de asesoría legal formal. Funciona SIN base de datos externa: responde con el conocimiento del modelo, por lo que debe marcar toda incertidumbre y remitir a la fuente oficial para verificación.
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统一自动化入口。覆盖浏览器自动化（Playwright）和 Windows 桌面应用自动化（OpenReverse）。 浏览器场景：打开网页、点击、填表、爬取、截图、自动化登录、渗透页面交互。 桌面场景：操作 IDA/x64dbg 等 GUI 工具、Windows UI Automation、视觉驱动交互、桌面应用网络抓包。 触发关键词：浏览器自动化、桌面自动化、打开网页、填表、爬取、截图、自动化登录、Playwright、agent-browser、headless、OpenReverse、UIA、CUA、桌面操作、Windows 自动化。
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Dino normalizes single-cell, mRNA sequencing data to correct for technical variation, particularly sequencing depth, prior to downstream analysis. The approach produces a matrix of corrected expression for which the dependency between sequencing depth and the full distribution of normalized expression; many existing methods aim to remove only the dependency between sequencing depth and the mean of the normalized expression. This is particuarly useful in the context of highly sparse datasets such
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MSA2dist calculates pairwise distances between all sequences of a DNAStringSet or a AAStringSet using a custom score matrix and conducts codon based analysis. It uses scoring matrices to be used in these pairwise distance calcualtions which can be adapted to any scoring for DNA or AA characters. E.g. by using literal distances MSA2dist calculates pairwise IUPAC distances.
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Dung khi mot CA NHAN muon xay CONG DONG quanh minh — Zalo Group, Telegram, Facebook Group, Skool, Mighty Networks, Discord: blueprint 3 lop public / member / inner, luong onboarding 7 ngay, nghi thuc tuong tac hang tuan, playbook kiem duyet, chi so kich hoat va cac loi thuong gap o VN. Kich hoat khi user nhac 'xay cong dong', 'Zalo group', 'Facebook group rieng', 'Skool community', 'membership site', 'group im lang khong ai noi', 'gom nguoi theo doi vao mot cho'. Khong dung cho — kiem tien tu cong dong thi dung skill 27-personal-brand-monetize; rai seeding duoi bai dang thi dung skill 38-seeding-plan; giu chan khach da mua cua doanh nghiep thi dung skill 69-giu-chan-khach-hang.
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Dung khi leader phai DUYET output CHU cua team truoc khi trien khai — content brief co dung insight va dung pillar khong, CTA co ro khong; ads copy va creative co proof cho claim khong, dung tone khong, hook co nam trong 125 ky tu dau khong; verdict Approve / Revise / Redo kem feedback cu the. Kich hoat khi user nhac 'duyet brief', 'review ads copy', 'duyet content', 'check truoc khi chay', 'bai nay dang duoc chua', 'em viet the nay sep xem giup', 'duyet output team'. Khong dung cho — cham diem THIET KE va hinh anh thi dung skill 47-design-review; danh gia nang luc nguoi lam thi dung skill 65-team-performance-review; can nhieu goc nhin phan bien cho mot huong chien luoc thi dung skill 72-hoi-dong-marketing.
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Dung khi da co MOT master design va can ra du kich thuoc cho tat ca kenh — bang kich thuoc chuan 2025-2026 cho feed, story, reel, cover, placement ads; 3 cach xu ly scale-crop, re-compose, rebuild; quy tac safe zone va cach dat ten file. Kich hoat khi user nhac 'resize asset', 'du kich thuoc', 'adapt kich thuoc', 'bang kich thuoc chuan', 'safe zone', 'anh bi cat mat chu tren story', 'mot anh dang duoc may cho'. Khong dung cho — thiet ke moi tu concept thi dung skill 42-brief-hinh-anh; asset gap khi campaign dang chay thi dung skill 48-quick-visual-brief; liet ke toan bo asset cua campaign thi dung skill 41-campaign-asset-list.
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