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概要と使いどころ
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your full history from a single CID, even after total state loss.
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 real-time cryptocurrency prices across exchanges with historical data and alerts. Provides price data infrastructure for dependent skills (portfolio, tax, DeFi, arbitrage). Use when checking crypto prices, monitoring markets, or fetching historical price data. Trigger with phrases like "check price", "BTC price", "crypto prices", "price history", "get quote for", "what's ETH trading at", "show me top coins", or "track my watchlist".
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 and test Polymarket prediction market trading strategies for YES/NO token trading. Provides 6 tools: get_all_prediction_events (browse markets, $0.001), get_prediction_market_data (analyze price history, $0.001), create_prediction_market_strategy (generate code, $1-$4.50), run_prediction_market_backtest (test performance, $0.001). Trade on real-world events (politics, economics, sports, crypto). Currently simulation only (live deployment coming soon).
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。
Maxim motion-comic narrative video — engineered for narrative engagement and origin-story investment. Uses Sequential Art Closure + Narrative Transportation + Curiosity Gap Theory to turn brand origins and episodic content into deeply-engaging narratives that viewers finish and share.
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。
Maxim Presentation Intelligence — pitch decks, investor presentations, executive briefings, product demos, conference talks, narrative-driven visual storytelling, data visualization in slides. Applies Minto Pyramid, Duarte Sparkline, McKinsey Slide Logic, and Dual Coding Theory to every deck. Powered by Maxim behavioral science layer.
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。
Maxim Design System Intelligence — token architecture (primitive→semantic→component), component library governance, CSS variable systems, Tailwind integration, design-to-code handoff, Storybook, Figma token export. Activate for design system creation, token audits, component specs, dark mode systems, brand-to-token sync. Powered by Maxim behavioral science + Atomic Design + TOGAF governance.
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。
Give your AI agent the same visibility you have in the Power Automate portal — plus a bit more. The Graph API only returns top-level run status. Flow Studio MCP exposes action-level inputs, outputs, loop iterations, and nested child flow failures. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app
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。
Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.
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。
Stock quotes, history, search, compare, crypto via Yahoo.
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。
Hyperliquid market data, account history, trade 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。
Query Polymarket: markets, prices, orderbooks, history.
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。
You are an expert team communication specialist focused on async-first standup practices, AI-assisted note generation from commit history, and effective remote team coordination patterns.
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。
Documentation and narrative content. USE FOR: writing docs; markdown files; storybook stories; vitepress guides; API documentation. DO NOT USE FOR: production code changes (use code-implementation skill); tests (use test-writing skill); commit conventions (use commit-conventions skill).
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。
Documentation and narrative content for create-vue-dsfr. Use for markdown files, Storybook stories, VitePress guides, component documentation, and API documentation. Read the shared project skill before acting.
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。
Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong
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。
Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux 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。
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
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。
[BETA] Expert assistance for the Adobe I/O CLI plugin `@adobe/aio-cli-plugin-aem-rde` — the `aio aem rde` / `aio aem:rde` command tree used to deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments (RDEs). Activate ONLY when the user explicitly references RDE concepts: 'AEM RDE', 'Rapid Development Environment', `aio aem rde`, `aio aem:rde`, `aem-rde`, RDE snapshots, RDE deploy/install, `rde install`, `rde inspect`, `rde status`, `rde history`, `rde reset`, the `@adobe/aio-cli-plugin-aem-rde` package, or Cloud Manager program/environment configuration that is specifically for an RDE environment. Do NOT activate on generic AEMaaCS phrases like 'deploy to AEM Cloud', 'push my bundle', 'tail the publish log', 'cloud sandbox', or unqualified 'dispatcher-config / frontend / env-config deployments' — those belong to Cloud Manager pipelines, not RDE. This skill is in beta. Verify all outputs before applying them to production projects.
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。
Creates a new experience document in the Sanity studio. Use when the user wants to add a job, role, internship, or work history entry to the Experience collection.
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。
Handle an explicit Git intent such as branch/worktree setup, commit organization, history archaeology, conflict resolution, PR preparation, or versioning; do not trigger as a process skill for every code or file change.
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。
Explain a complex concept through a short allegory, story, analogy, metaphor, or intuitive teaching example, then map it back to formal concepts and limits; do not use as the primary skill for implementation, specs, source-cited API guidance, or fiction-only writing.
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。
Run a non-destructive open-source, npm, or public release readiness checklist covering package metadata, provenance, license, internal artifact exposure, and dry-run evidence; complements security, shipping, and sanitizer reviews, and must not publish, delete, rewrite history, or mutate release state.
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 clean React/Vue component skeletons with TypeScript types, prop variants, styling hooks, test files, Storybook stories, and usage documentation. Use when users request "create a component", "scaffold component", "new React component", or "generate component boilerplate".
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。
This skill should be used when the user asks to "plan a feature", "create PRD", "interview me about requirements", "define stories", "write a spec", "break down feature into tasks", "create implementation plan", "help me scope this feature", "what questions should I answer", or discusses feature planning. Covers the PRD interview process, spec structure, story atomization, and 4-phase workflow from idea to Dex tasks.
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。