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概要と使いどころ
Aave V3 lending protocol on Base Sepolia testnet. Deposit WETH collateral, borrow USDC, repay loans, withdraw collateral, check health factor, and mint test tokens via faucet. Use when users want to interact with Aave lending, check their lending position health, or get testnet tokens.
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。
Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
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。
Proactive monitoring of Aave V3 borrow positions with liquidation alerts. Queries user collateral, debt, and health factor across chains (Ethereum, Polygon, Arbitrum, etc.). Sends urgent alerts to Telegram/Discord/Slack when health factor drops below configurable thresholds (critical at 1.05, warning at 1.2). Use when you need continuous monitoring of Aave positions, want alerts before liquidation risk occurs, or need periodic summaries of your borrowing health.
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。
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
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。
AI planning coach using the 4To1 Method™ — turn 4-year vision into daily action. Connects to Notion, Todoist, Google Calendar, or local Markdown. Use when user wants to plan goals, do weekly reviews, track projects, or set up a planning system.
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。
Check a change for performance regression against this machine's recorded baseline - decide whether the diff needs checking, run the deck benchmark under the hygiene wrapper, and attribute any regression to an element. Use before opening a PR that touches the simulation hot path.
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。
Verify documentation keeps up with a code change in dynamic-neural-field-composer - Doxygen on public API, the matching wiki page, and stale references elsewhere. Use before opening a PR, or when asked whether docs need updating.
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 asked to babysit or watch a PR, when watching an open pull request, after opening or pushing to a PR, or when asked to monitor CI, review comments, merge conflicts, whether a PR is ready to merge, or to trigger a re-review.
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 a change end-to-end from a freeform prompt - settle the requirements, design the engineering approach and get it approved, implement with TDD, run the format/compile/credo/coveralls gates without shortcuts, self-review the diff like a senior engineer, QA the finished change in the running app, record a demo video when it is visible there, then commit and open the PR. Use when the user wants to "complete an issue", "work the ticket", or hands over a description of something to build.
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。
Product Discovery through an 18-task methodology in 6 blocks — from market analysis to an investor-ready financial plan. Use when someone wants to run Product Discovery, validate a startup, assess a market hypothesis, prepare for an investment round, or raises an adjacent topic — idea validation, niche sizing, competitor teardown, product-market fit, pitch preparation, startup unit economics, geographic expansion into a new country, go-to-market for SEA / Asia / MENA. People rarely name PD explicitly; they say 'is there a market for this', 'assess my idea', 'I need a deck for an angel', 'we are entering Thailand/Singapore/UAE, how do we size it'. Use the skill in those cases too. Three modes: Light (~45 min, idea stage), Full (~2-3 h, MVP with customers), Geographic Expansion (~2 h, product entering a new geography). Produces 3-4 artifacts in /mnt/user-data/outputs/: one-pager.pptx, financial-plan.xlsx, presentation.pptx, optionally interview-guide.docx.
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 building a frontend and the user wants a distinctive / animated / "wow" UI element in React + Tailwind - e.g. a laptop-opening-on-scroll, 3D tilt card, spotlight hero, animated beams/background, marquee, bento grid, interactive globe, meteor/particle background, shimmer button, or scroll/reveal motion. Fetches the showpiece component LIVE at build time from code libraries (Aceternity, Magic UI, Cult UI, ReactBits, 21st.dev) via their shadcn registry command (or WebFetch fallback), then adapts it to brand tokens. Also covers plain components (button, form, modal, table, etc.) as a fallback. Triggers on "make it pop", "something flashy", "animated [X]", "like [cool site]", "build a [showpiece] section". NOT for non-React stacks. Inspiration galleries (Dribbble/godly) are visual reference only - never code.
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。
Own goal-first engineering outcomes: investigate, find root cause, design, plan, then delegate implementation unit-by-unit to cursor-implementation-loop, this plugin's kernel skill, with verification and honest reporting. Use to fix, build, or own an outcome end to end; investigate-and-fix; "make X work"; or plan-then-execute in one request. A request with an approved plan or equivalently precise spec that needs nothing beyond implementation belongs directly to cursor-implementation-loop. Requires this plugin's cursor-implementation-loop skill; they ship together.
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。
Research current job markets and hiring requirements, analyze recent job descriptions (JDs), compare them with a user's resume, projects, skills, and constraints, and turn evidence gaps into prioritized career actions. Use when students, job seekers, or career changers ask about current role or industry outlook (including “现在行情怎么样”), whether a role or JD fits them (including “这个JD适合我吗”), cross-platform JD sampling, resume evidence gaps or truthful tailoring, what career skill to learn next, target-role course or certificate decisions, application readiness, or a capacity-bounded 30/60/90-day job-search plan. Do not use for unrelated personal or education advice, simple factual lookups, automatic job applications, or unsupported resume rewriting.
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 committing or pushing changes and the repository needs a version bump. Analyzes commits using conventional commit prefixes to determine whether the next release is a major, minor, or patch increment. Also use when the user asks about versioning, release planning, or changelog generation.
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。
Drafts certificates of service (proofs of service) for court filings. Use when a filing must be accompanied by proof that copies were served on all parties or counsel. Covers FRCP Rule 5, state equivalents, ECF/e-service, U.S. mail, hand delivery, and overnight courier methods.
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。
Guides the agent through TRID tolerance compliance under 12 CFR § 1026.19(e)(3), comparing Closing Disclosure fees to Loan Estimate fees across zero, 10% cumulative, and unlimited tolerance categories. Use when reviewing a CD for tolerance variances, determining whether a revised LE is permitted, calculating cure amounts, or resolving post-closing tolerance violations.
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。
Produces privilege-safe U.S. corporate legal billing summaries from time and expense data. Converts entries into client-friendly narratives with categorized hours, rates, expenses, and milestones while enforcing engagement-letter rules and ethical billing safeguards. Use when asked to create a billing summary, invoice narrative, timekeeper breakdown, expense summary, or fee narrative.
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。
Drafts post-judgment motions for attorneys' fees using the lodestar method. Covers prevailing party analysis, rate justification, hours documentation, billing judgment, lodestar enhancements, and supporting declarations. Trigger when user needs a fee motion, fee petition, lodestar calculation, or post-trial fee application.
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 structured 500-800 word summaries of legal articles distilling thesis, methodology, arguments, authorities, conclusions, and significance. Triggers when summarizing legal scholarship, reviewing law review articles, preparing literature reviews, or triaging articles for full reading.
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。
Drafts the "Interest of Amicus Curiae" section of an amicus brief. Establishes institutional credibility, tethers the amicus's interest to the specific legal question, articulates non-party impacts, and embeds disclosure guardrails under FRAP 29 and Supreme Court Rule 37. Trigger when drafting amicus briefs, friend-of-the-court filings, interest statements, amicus disclosures, or when the user asks why an organization belongs in a case.
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 appellate-brief TOC, TOA, and Certificate of Compliance with defensible word-count methodology. Triggers on TOC/TOA rebuilds, certificate of compliance drafting, FRAP 32(g) compliance, word-count certification, or final brief formatting before filing.
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。
Produces a plain-language comparison of advance directives and POLST/MOLST forms, covering legal status, clinician signatures, emergency precedence, clinical appropriateness, and document coordination. Use when the user asks about advance directive vs. POLST, living will vs. DNR, which document EMS follows, POLST vs. MOLST vs. POST, whether a healthy person needs a POLST, or document coordination in elder law, estate planning, or serious illness contexts.
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。
AI公司首席法务官技能包。合同治理、知识产权保护、AI专项法务（算法审计/AIGC合规/数据供应链）。覆盖GDPR/CCPA跨境数据合规，新增AI伦理委员会架构、合规分级目标、数据保护双线接口、AIGC内容合规审查链。
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。
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.
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。