Loading...
Loading...
Found 11,931 Skills
Markdown チェックリスト・YAML タスクリスト・要件定義書などからプロジェクトアイテムを一括作成する。タイトル・本文・Priority・Size をパースして `gh project item-create` + `item-edit` でフィールド設定。「要件書からアイテム作って」「タスクをプロジェクトに追加」「ロードマップを取り込んで」などで使用。
Execute mcloud logs to fetch and stream runtime logs for Cloud environments. Use when reading backend or storefront logs, filtering by time range, searching for errors, or scoping logs to a specific deployment.
Adds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.
Tracks PetTracer (pettracer.com) GPS collars via the PetTracer portal API: fetches a pet’s latest location, location history, and optionally streams updates via the PetTracer WebSocket (SockJS/STOMP). Use when the user asks “where is my pet/cat”, “track my PetTracer”, wants GPS coordinates/history, or needs help with PetTracer authentication tokens or live tracking.
Use this skill for direct, practical adult relationship coaching: couples conflict, repair, trust, marriage, dating, flirting, attachment patterns, emotional connection, sex, desire differences, eroticism, kink negotiation, affection, love languages, breakups, and long-term passion. Draw on Gottman, EFT and Hold Me Tight, attachment science, modern sex research, Perel, Nagoski, Kerner, Schnarch, Love and Stosny, and flexible love-language tools. Be concrete and low-hedge. Redirect only for imminent danger, abuse, coercive control, minors, non-consent, self-harm, stalking, or medical/legal/psychiatric decisions.
Generates genuinely novel, useful ideas for products, businesses, features, campaigns, names, research directions, and process redesign. Use when the user asks to brainstorm, ideate, improve a weak concept, escape generic answers, find differentiated options under real constraints, or turn a vague opportunity into a shortlist of strong concepts with wedges and tests. Preserves diversity with independent idea pools, analogy transfer, contradiction solving, critique-and-repair, and reality checks. Do not use for simple rewriting, proofreading, or purely factual research.
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
Selects, configures, and integrates a static analysis tool for the project's language. Covers tool selection, rule configuration, CI integration, fixing existing violations, and pre-commit hook setup. Invoked when the user asks to add linting, set up static analysis, or configure a code quality tool.
Gathers inputs, defines initiatives, prioritises with an impact/effort matrix, sequences dependencies, and produces a roadmap table. Invoked when the user asks to plan a technical roadmap, prioritise engineering initiatives, or create a quarter/half-year engineering plan.
When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' 'copy sweep,' 'tighten this up,' 'this reads awkwardly,' 'clean up this text,' 'too wordy,' 'sharpen the messaging,' 'refresh this content,' 'update this page,' 'this content is outdated,' or 'content audit.' Use this when the user already has copy and wants it improved or refreshed rather than rewritten from scratch. For writing new copy, see copywriting.
Exa.ai deep research and answer generation with citations. Use when building research automation, implementing Answer API for Q&A with sources, creating research reports, or using deep search with summaries. Triggers on: Exa Answer, answer endpoint, exa.answer, deep search, research API, Exa Research, async research, research report, citation extraction, summarization with sources, fact verification, streaming answers, research tasks.
Verify Single Step Instrumentation (SSI) is working end-to-end on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.