Back Out 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。
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概要と使いどころ
Back Out 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 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。
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。
Bounce Out — 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。
Track performance across sessions and reduce scaffolding as competence grows. Makes fading visible — the learner knows when scaffolds are removed and why. Use for sustained learning engagement where independence is the goal.
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 blueprint for racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.
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 blueprint for racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.
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 the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.
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 the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' or 'involuntary churn.' This skill covers voluntary churn (cancel flows, save offers, exit surveys) and involuntary churn (dunning, payment recovery). For post-cancel win-back email sequences, see email-sequence. For in-app upgrade paywalls, see paywall-upgrade-cro.
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。
Generates an HTTP caching layer with Cache-Control parsing, ETag/conditional requests, and offline fallback. Use when user wants to add response caching, offline support, or reduce API calls.
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。
Flatten deeply nested conditionals into readable, early-return code. Use on any function with 3+ levels of indentation.
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。
Reduce a change to the minimum that solves the problem. Use when code is over-engineered or a diff is bloated.
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。
Draft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence strength, logical relations, manuscript-wide terminology identity, document-level pattern variation, and scholarly register. Use for papers, abstracts, grants, cover letters, and reviewer responses when the user asks to de-AI, humanize, audit AI-like phrasing, or rewrite text without changing meaning. English is primary; Chinese is supported. Not for detector evasion, policy circumvention, pure translation, non-academic copy, or adding facts, citations, examples, or author experiences that the source does not contain.
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 a User Generated Content (UGC) strategy — getting customers to create content, review generation, UGC briefs for creators, social campaigns, contest mechanics, legal rights management, and repurposing UGC in paid ads. Use when the user says "UGC", "user generated content", "get customers to create content", "customer content", "UGC ads", "UGC creators", "organic UGC", "UGC strategy", "how do we get customers to post about us", "brand hashtag", "UGC brief", "influencer UGC", "UGC for ads", "customer photos and videos", or wants to use real customer content to build trust and reduce content production costs.
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。
Audit and optimize landing pages for conversion rate. Use when the user asks about conversion rate optimization, CRO, landing page audits, improving sign-ups or sales, reducing bounce rate, A/B test ideas for pages, form optimization, or CTA optimization. Trigger phrases include "conversion rate", "CRO", "landing page audit", "why isn't my page converting", "improve conversions", "optimize my page", "reduce bounce rate", "CTA optimization", "form optimization", "above the fold".
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。
Create YOUR personal guarantee on top of the product's guarantee for risk reversal. Triggers on: "create a guarantee", "guarantee for my affiliate", "risk reversal", "money back guarantee", "what guarantee can I offer", "reduce buyer risk", "guarantee copy", "how to guarantee", "affiliate guarantee", "personal guarantee", "risk-free offer", "satisfaction guarantee", "results guarantee".
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 working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).
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。
Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.
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。
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
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。
Pointer to the upstream skill for behavioural guidelines that reduce common LLM coding mistakes, installed from upstream.
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。
Clean-code engineering standards for writing, refactoring, and reviewing code in any programming language. Use this whenever the user asks to write clean code, follow clean-code principles, refactor for clarity, improve naming, reduce complexity or duplication, separate concerns, tighten error handling, work test-first or do TDD, or otherwise raise code quality, readability, and maintainability. Also use when writing or reviewing Operately APIs or Ecto queries. Apply these rules by default when producing or changing code for a quality-conscious user.
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。
Modernizes a bounded capability to reduce demonstrated maintenance cost; not routine upgrades or performance 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。
Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf). Ensures skills achieve high Activation (specificity/completeness) and Implementation (conciseness/actionability) scores. Use when: writing or auditing SKILL.md, improving trigger accuracy, or refactoring skills to reduce redundancy and maximize token ROI.
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。
Reduce mix output noise (5-15% token savings) by installing rtk; Use when long mix output floods context.
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。