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概要と使いどころ
Use when acquiring or importing media into a OpenChatCut project asset library for video editing or creation, including local/attached videos, user-provided paths, public media URLs, web video/audio/image assets, upload fallback decisions, and deciding between import_media, download_media, or manual user action.
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Direct and produce a short film made entirely in code, in one of the styles of the Lemo-Opuscar library (e.g. Impasto Oil Painting 油画厚涂, Watercolor Brush 水彩笔刷, Chinese Ink Wash 中国水墨, Ukiyo-e 浮世绘, Whiteboard Explainer 白板讲解). Use when the user asks for a video, film, short, promo, explainer or animation (视频、短片、动画、宣传片) in a named style; when they want a film made about their own topic and haven't chosen a style (help them choose); or when they ask which film styles there are. Not for editing or converting existing video files.
日本語の概要は準備中です。原文の説明を表示しています。
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
日本語の概要は準備中です。原文の説明を表示しています。
Single entry point that routes any ASO, App Store, Google Play, app marketing, paid UA, monetization, retention, reviews, ratings, market-intel, or app-analytics question to the correct specialist skill in this library. Use FIRST whenever the user mentions an app, App Store, Play Store, keywords, ranking, downloads, revenue, subscriptions, screenshots, icon, reviews, competitors, charts, in-app events, launch, press, or ads — but the right specialized skill is not obvious. Triggers: "/aso-router", "/aso-skill", "/aso", "aso help", "help me with my app", "I need ASO", "which skill should I use", or any ambiguous app-marketing request. Skip this router only when the user explicitly invokes a specific skill (e.g. /aso-audit, /keyword-research).
日本語の概要は準備中です。原文の説明を表示しています。
Writes and revises agent skills so they trigger at the right moments and give usable instruction when they do. Use this when creating a new skill, editing an existing one, diagnosing a skill that fires too often or never fires, or reviewing a set of skills for overlap. Also use before adding to a skill library, to check the capability is not already covered.
日本語の概要は準備中です。原文の説明を表示しています。
Runs content as an operation — the production pipeline, editorial calendar, repurposing engine, competitive content intelligence, and audits of what already exists. Use this to build or fix a content production system, plan a calendar, decide how one piece becomes many, rank content ideas by expected impact, or audit an existing library for what to update, consolidate, or retire. For deciding what territory to own and why, use `content-strategy` first.
日本語の概要は準備中です。原文の説明を表示しています。
Verified prompt templates and structures for Seedance 2.5 / 2.0 video generation, distilled from the highest-performing published cases on goodcase.ai. Use when the user asks to write, revise, or review a Seedance video prompt, or asks how to prompt Seedance for a specific kind of shot (narrative short, ad/commercial, UGC talk-to-camera, dialogue with lip-sync, action, product reveal, retro home video, travel film, pet or animal lead, comedy skit, horror, fantasy or sci-fi spectacle, 3D cartoon, car spot, fashion film, sports, storyboard image to video, and similar). Also use when the user names Seedance, 即梦视频, or Seedance 2.5/2.0 directly.
日本語の概要は準備中です。原文の説明を表示しています。
Generate professional Mermaid diagrams with multiple themes, SVG/ASCII output, batch rendering, and a built-in template library for common diagram patterns. Supports flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, C4 architecture, and Gantt charts.
日本語の概要は準備中です。原文の説明を表示しています。
A Python library for reading, writing, and analyzing geospatial vector data; use it when you need spatial operations (buffer/overlay/join), CRS reprojection, or map visualization on formats like Shapefile/GeoJSON/GeoPackage or PostGIS.
日本語の概要は準備中です。原文の説明を表示しています。
A low-level plotting library for comprehensive customization. Use when fine-grained control over every plot element is needed, creating new types of charts, or integrating into specific scientific workflows. Can export to PNG/PDF/SVG for publication. For quick statistical charts, use seaborn; for interactive charts, use plotly; for journal-style, publication-ready multi-panel charts, use scientific-visualization.
日本語の概要は準備中です。原文の説明を表示しています。
EndNote reference formatting workflow — converts [PMID: xxxx] markers in Markdown manuscripts to Word (.docx) using EndNote CWYW-recognized {Author, Year, Title} placeholders, while generating .ris files for automatic import into the local EndNote library. Users click "Update ...
日本語の概要は準備中です。原文の説明を表示しています。
Design any process, idea, problem, or body of knowledge into an ICM (Interpretable Context Methodology) workspace — folder structure as agent architecture — or restructure an existing folder, repo, or vault into one. Use when the user wants to (1) turn a recurring workflow into an agent-runnable folder pipeline, (2) organize scattered notes, files, or knowledge into a library one AI agent can walk, (3) map a team or company as connected context ("context map", "second brain", "team brain", "knowledge base for AI"), (4) audit a codebase or mixed folder into a walkable edit map (objects, processes, change-impact) so later agents can change it without slurping the tree, (5) audit or restructure an existing workspace to ICM conventions, or (6) says "make this an ICM", "ICM this", "map this repo", "audit this folder", "what would a change hit", "build me a workspace", or "structure this for agents".
日本語の概要は準備中です。原文の説明を表示しています。
Guide for mapping common Python libraries and idioms to Scala equivalents. Use when converting Python code that uses standard library modules (json, datetime, os, re, logging) or needs equivalent Scala libraries for HTTP, testing, or async operations.
日本語の概要は準備中です。原文の説明を表示しています。
Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series to detect periodic variations. Works for stellar rotation, pulsation, eclipsing binaries, and general periodic phenomena. Based on lightkurve library.
日本語の概要は準備中です。原文の説明を表示しています。
Reference for the TRL (Transformer Reinforcement Learning) library codebase. Use proactively before reading or editing any file under `trl/` so you have the intended contracts and invariants in mind, not just what the current code says. Covers trainer hierarchy (SFT, DPO, GRPO, KTO), shared utility functions (selective_log_softmax, decode_and_strip_padding, padding helpers), configuration system, model wrappers, and how data flows through any TRL trainer.
日本語の概要は準備中です。原文の説明を表示しています。
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
日本語の概要は準備中です。原文の説明を表示しています。
Civilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.
日本語の概要は準備中です。原文の説明を表示しています。
Implement computational geometry algorithms
日本語の概要は準備中です。原文の説明を表示しています。
Generate argparse-based Python CLI applications with subparsers, type converters, and standard library patterns. Creates lightweight Python CLIs without external dependencies.
日本語の概要は準備中です。原文の説明を表示しています。
Provide robust computational geometry primitives
日本語の概要は準備中です。原文の説明を表示しています。
Provide implementations of advanced data structures
日本語の概要は準備中です。原文の説明を表示しています。
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
日本語の概要は準備中です。原文の説明を表示しています。
Expert reverse engineer specializing in binary analysis, disassembly, decompilation, and software analysis. Masters IDA Pro, Ghidra, radare2, x64dbg, and modern RE toolchains. Handles executable analysis, library inspection, protocol extraction, and vulnerability research. Use PROACTIVELY for binary analysis, CTF challenges, security research, or understanding undocumented software.
日本語の概要は準備中です。原文の説明を表示しています。
Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows.
日本語の概要は準備中です。原文の説明を表示しています。