Use when implementing a medium or large coding project from a written spec, plan, or product goal where drift, skipped validation, PR correctness, or multi-block delivery risk matter.
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
Use when implementing a medium or large coding project from a written spec, plan, or product goal where drift, skipped validation, PR correctness, or multi-block delivery risk matter.
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 aggregate Langfuse cost, volume, latency, and model telemetry efficiently with Metrics API v2. Use for dashboards, rollout checks, usage summaries, and cost or latency comparisons; use Observations API v2 instead when individual rows are actually required.
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。
Configure and debug MCP servers for Claude Code, OpenCode, and Codex CLI, including auth headers, scope, and validation checks. Use when MCP tools fail to connect, when an MCP server returns 401/404/HTML, or when adding a new MCP server to this repo.
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 to process automated PR review feedback (Copilot, Greptile, Codex) and iterate until all AI threads are addressed, checks are green, and the PR is merge-ready. Trigger when the user says "address review feedback", "recycle reviews", or references an automated reviewer.
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。
Configure and debug MCP servers for OpenCode, Codex CLI, and Claude Code, including auth headers, scope, and validation checks. Use when MCP tools fail to connect or when adding a new MCP server.
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。
Walk every branching path and boundary condition in content, report only unhandled edge cases. Orthogonal to adversarial review - method-driven not attitude-driven. Use when you need exhaustive edge-case analysis of code, specs, or diffs.
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。
Review code changes adversarially using parallel review layers (Blind Hunter, Edge Case Hunter, Acceptance Auditor) with structured triage into actionable categories. Use when the user says "run code review" or "review this 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。
Help users discover what to build on Stellar. Use when a user says "what should I build on Stellar", "Stellar app ideas", "I want to build on Stellar but don't know what", "Stellar startup ideas", "find me a Stellar project idea", "I'm new to Stellar and want to build something", or "what's hot on Stellar right now". Interviews user sharply, then proposes ranked ideas grounded in real ecosystem gaps from the LumenLoop 728-project database and current SCF funding 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。
Forensic case investigation with evidence-graded findings, calibrated to the input. Use when the user asks to investigate a bug, trace what caused an incident, walk through unfamiliar code, or build a mental model of a code area before working on it.
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。
VenTu is a static export on GitHub Pages — no Node runtime at request time. Use when adding routes, auth, alerts, forms, API endpoints, or anything that could depend on a server.
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 implementing smooth, native-feeling animations using React's View Transition API (`<ViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.
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 system and premium UX rules for VenTu (ventu.surf). Use whenever building, restyling, reviewing, or polishing any frontend page, component, map, drawer, or motion. Overrides generic AI aesthetic defaults.
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
Port one complete feature family with provenance, current-API adaptation, repository ownership, localization, resources, and verification.
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。
Resolve localized text at presentation boundaries using English-source keys, with Russian localization only when requested, and correct lifecycle refresh.
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 common EntitySystem helpers, prototype APIs, spawning, deletion, audio, popup, and random 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。
Reproduce failures, trace authoritative flow, prove the broken assumption, and add targeted regression coverage.
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。
Review correctness, access, repository ownership, authority, localization, compatibility, resources, scope, and verification evidence.
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。
Change persistent models and SQLite/PostgreSQL migrations without breaking existing servers.
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。
Diagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.
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。
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
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 create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
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 or modify web UI in React, Next.js, or Angular. Use for components, pages, styles, forms, and frontend state or data flows.
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。
Restructure existing code while preserving observable behavior. Use for targeted technical debt or hotspot work with characterization tests.
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。