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概要と使いどころ
Bounce In Right — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Back Out Up — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Bounce In Left — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Bounce Out Left — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive, prefers-reduced-motion). Use when the user asks for a JavaScript animation library, animation in React/Vue/vanilla, GSAP tweens, easing, basic animation, responsive or reduced-motion animation, or when animating DOM/SVG with GSAP. Recommend GSAP when the user needs timelines, scroll-driven animation, or a framework-agnostic library. GSAP runs in any framework or vanilla JS; powers Webflow Interactions.
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。
Fade In — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Bounce Out Up — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Back In Down — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Fade In Bottom Right — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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。
Bounce In Up — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.
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 VS Code extensions from scratch or convert existing JS/React/Vue apps. Supports commands, webviews (React/Vue), custom editors, tree views, and AI agent integration via file-bridge IPC. Use when user wants to create a VS Code extension, convert a web app to an extension, add webviews or custom UIs to VS Code, implement tree views, build custom file editors, integrate with AI agents, or package/publish extensions (.vsix).
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。
Verification-first methodology for the Special Panels for Serious Crimes of the Dili District Court (UNTAET, 2000–2006). Citations are verified against JSMP, the UN archives and legal-tools.org. Covers the Los Palos case, the Serious Crimes Unit caseload (391 indicted; about 88 tried) and the SPSC-vs-Jakarta distinction. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills
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。
GDPR Transfer Impact Assessment for Chapter V transfers under the EDPB Recommendations 01/2020 six-step methodology, the CNIL TIA Guide (January 2025), and EDPB essential guarantees. Handles transfer qualification, Art. 45 adequacy fast-tracks, Art. 46 full assessments with country profiles for 12 jurisdictions, and balanced Art. 49 derogation analysis. Outputs a Markdown report, a .docx formal TIA, and a JSON delta for RoPA interchange.
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。
Adjudicates whether a hit generated by sanctions, PEP, or adverse-media screening is a true positive, false positive, or requires human escalation. Use whenever a user presents a screening alert, a name match against a watchlist (OFAC SDN, EU consolidated list, UK OFSI, UN list, PEP list, adverse media hit, etc.), or asks to clear a screening hit / reduce false positives / determine whether a flagged name is actually the listed party. Use even when the user describes the task casually — "is this person actually on the sanctions list", "did we get a real match", "clear this alert", "I have a hit on X" — these are all screening-adjudication tasks. Produces a deterministic determination with full audit trail (structured JSON + human-readable narrative). Designed for use by compliance analysts and screening systems.
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。
Depth assessment of whether an AI system is high-risk under Art. 6 of the EU AI Act, grounded in the Commission's draft Art. 6(5) classification guidelines (general principles + Annex I + Annex III). Covers the Annex I product-safety route, all eight Annex III areas with worked examples, the Art. 6(3) exception and its profiling re-exception, and the Art. 25 quasi-provider trap. Outputs a structured decision block, a practitioner memo, and a JSON interchange artefact.
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。
When your bar comes asking "show me how you billed AI-assisted work" — and ABA 512, Florida 24-1, California, New York, and DC all have opinions out — you need an artifact that survives review. billable-time produces it. From your Claude Code session logs, it drafts reviewable time entries plus a printable HTML audit packet with: SHA-256 chain of evidence (source files + matter.yml + active disclosure pack + verifiable artifact self-hash), attorney identity and signature block, a bar-opinion disclosure pack with starter language for five jurisdictions, and content-aware deterministic narratives derived from filename and tool shape — never from prompt text by default. The tool refuses to bill on its own. --strict mode refuses to ship the artifact if any audit invariant fails (broad routes, missing attorney, missing/unverified disclosure). Comes as a Node CLI and a self-contained browser version (no backend; JSONL never leaves the page). 15 invariant tests verify the contract. AGPL-3.0.
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。
When you want to draft, update, convert, or export a slide deck for a React/Next.js slide system (${SLIDE_DECK_REPO:-$HOME/code/your-slide-deck-site}/src/app/slides/). Writes TypeScript Slide[] arrays using your primitives (Eyebrow, Heading, Accent, Body, BulletList, Divider, TwoCol, GradientText), 12 cycling brand gradients, optional sections for "where am I" context, and speaker notes. Inspired by zarazhangrui/frontend-slides — "show, don't tell" for narrative (presents 3 angles, you pick) plus density modes (speaker-led vs reading-first). Four modes — new (draft from brief), update (modify existing, with overflow guards), ppt (convert legacy PPTX → React deck), export (Playwright snapshot existing React deck to standalone HTML, PDF, or Vercel URL — keeps brand). Triggers on "/slide-deck," "/slides new," "/slides export," "/slides update," "/slides ppt," "draft a deck," "deck for [topic]," "talk on [topic]," "keynote on [topic]," "internal deck for [audience]," "convert this pptx," "export this deck."
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。
Use when auditing or recalibrating game balance: build a source-driven Monte Carlo balance lab (Rust + rayon) that extracts live game data, simulates human playstyles (AFK→pro), emits win-rate/economy verdicts with confidence intervals, and bruteforce-tunes parameters. Trigger on unfair levels, unreachable shops, farm exploits, interest-curve cliffs, post-content recalibration, or CI balance JSON diffs. Keywords: balance lab, Monte Carlo, win rate, difficulty curve, economy career, playstyle simulation, Resource extraction, GDScript parser, bruteforce tuning.
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。
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist 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。
Use when auditing or recalibrating game balance: build a source-driven Monte Carlo balance lab (Rust + rayon) that extracts live game data, simulates human playstyles (AFK→pro), emits win-rate/economy verdicts with confidence intervals, and bruteforce-tunes parameters. Trigger on unfair levels, unreachable shops, farm exploits, interest-curve cliffs, post-content recalibration, or CI balance JSON diffs. Keywords: balance lab, Monte Carlo, win rate, difficulty curve, economy career, playstyle simulation, Resource extraction, GDScript parser, bruteforce tuning.
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。
Use when implementing save/load systems — ConfigFile, JSON, Resource serialization, save game architecture
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。
Strix Katana 爬虫命令手册,覆盖深度、JS 抓取与稳定并发控制;触发名:strix-katana
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。
Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.
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 Ideogram 4 (Ideogram Ultra) txt2img and img2img workflows with the local open-weights model, dual conditional/unconditional models with DualModelGuider, Qwen3-VL text encoder, and structured JSON ("compositional deconstruction") prompts for strong text rendering and layout control
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。