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概要と使いどころ
Use ESLint in .NET repositories that ship JavaScript, TypeScript, React, or other Node-based frontend assets. Use when a repo needs a configurable CLI lint gate for frontend correctness, import hygiene, unsafe patterns, or framework-specific 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。
Updates a project changelog with entries for changes since the branch diverged from main. Use when about to open a PR, cutting a release, or when the user asks about changelog, release notes, or migration notes.
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。
Master entry point for all Stitch design workflows. Routes from user request → design spec → prompt assembly → screen generation → iteration (edit, variants, design systems) → design system extraction → framework conversion (Next.js, Svelte, HTML, React Native, or SwiftUI) → optional quality pass.
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 a high-fidelity UI screen or wireframe from a text prompt using Stitch. This is the core text-to-UI generation tool — the heart of the Stitch workflow.
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。
Converts a Stitch screen, a local HTML file, or a URL into clean, platform-agnostic HTML5 + CSS — semantic markup, CSS custom properties for theming, dark mode via prefers-color-scheme, mobile-first responsive, zero framework dependencies. Works in browsers, WebViews, Capacitor, and Ionic. Only the Stitch route needs an API key.
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。
Meta-skill for creating new stitch-kit skills. Enforces naming conventions, SKILL.md structure, examples format, and the Design-First SOP. Use when adding new framework support, a new domain-specific prompt architect, or any new capability to the stitch-kit plugin.
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。
Adds a purposeful animation layer to Stitch-generated components — CSS transitions, Framer Motion (React/Next.js), or Svelte transitions. Always respects prefers-reduced-motion.
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。
Extracts a Stitch design and generates production code artifacts — CSS custom properties with dark mode tokens, a Tailwind v4 @theme block, and a semantic design system document. Run this before framework conversion 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。
Generate test files from acceptance criteria or existing code. Supports criteria-driven mode (from specs/tasks) and code-analysis mode (from source files). Auto-detects test framework and spawns test-writer agents for parallel 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。
Convert Claude Code plugins into generic, platform-agnostic format. Supports full conversion (skills, agents, hooks), flatten mode (skills only — agents converted to skills, hooks absorbed), or nested mode (agents nested as pure markdown within parent skills, hooks absorbed). Full mode supports per-group or unified output layouts — unified merges all groups into a single directory organized by component type. Strips Claude Code-specific implementation details to produce clean markdown files preserving only the intent and instructions. Use when asked to "make this portable", "convert to generic format", "export plugin", "create universal skills", "strip platform dependencies", "make harness-agnostic", "decouple from Claude Code", "flatten to skills only", "nest agents in skills", or when the user wants their plugin content usable outside Claude Code. Also use when the user wants to share skills with teams using different agent frameworks.
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。
Builds NPV, IRR, and payback models for capital investment decisions with hurdle rate calibration and risk adjustment. Use when evaluating capital investments, comparing project returns, or building capital allocation frameworks.
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。
Structures portfolio company monitoring with monthly financial packages, KPI dashboards, and management assessment frameworks. Use when monitoring portfolio companies, building reporting templates, or tracking financial performance.
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。
Evaluates water rights valuation with seniority analysis, regulatory framework assessment, and allocation risk for resource investments. Use when analyzing water rights, evaluating water allocation, or assessing water risk.
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。
Values infrastructure assets with DCF, regulated asset base, and comparable transaction methodologies adjusted for regulatory and contractual frameworks. Use when valuing infrastructure assets, analyzing regulated utilities, or benchmarking infra transactions.
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。
Evaluates regulated utility rate-setting with RAB methodology, allowed return analysis, and regulatory reset risk assessment. Use when analyzing regulatory frameworks, modeling rate cases, or evaluating allowed return mechanics.
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。
Ripgrep-powered dead-code crawler that finds stale, broken, or orphaned JavaScript/CJS/MJS modules in the Agent Studio framework. Walks a target directory, checks each file for external references, and surfaces (or deletes) unreferenced files. Prevents registry bloat and silent tool dropouts from modules no one 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。
Research-backed template refresh workflow for updating existing templates with placeholder verification and rendering 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。
Creates JSON Schema validation files for skills, agents, hooks, workflows, and data structures. Ensures type safety and input validation across the framework.
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 brownfield codebase analysis with weighted keyword scoring, three-stream analysis, and design pattern recognition. Detects project type, frameworks, dependencies, architecture patterns, and generates comprehensive project profile.
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。
Qwik framework expert including resumability, lazy loading, and 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。
Creates rule files for the Claude Code framework. Rules are markdown files in .claude/rules/ that are auto-loaded by Claude 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。
Research-backed JSON Schema refresh workflow for updating existing schemas with validation checkpoints and cross-reference 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。
Specific optimization strategies for Python scripts working with larger-than-memory datasets via Dask.
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。
Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.
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。