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概要と使いどころ
Review a Go design spec before implementation begins - dispatch a subagent that checks a design doc for completeness, consistency, and idiomatic Go (simplicity, small consumer-defined interfaces, explicit wrapped errors, context propagation). Use when a user has a Go spec to review, asks "is this spec ready?", or is about to implement from a written design. Distilled from spf13/go-skills and adapted to this repo's conventions.
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。
Frappe-specific search and discovery guidance for finding benches, apps, remotes, sites, ports, hooks, DocTypes, builder DocTypes, and frontend surfaces quickly. Use when the task starts with locating or classifying Frappe 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。
Universal prose writing and audit skill. Apply for writing, editing, or reviewing prose, and for explicit requests to score text or flag formulaic AI-writing patterns. Do not activate for ordinary factual, code, or configuration 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。
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
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Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document 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。
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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。
Record and track organizational decisions using the RAPID framework. Captures decision context, options analysis, RAPID roles, risk assessment, and communication plan. Use when making cross-functional decisions, documenting governance choices, or building an auditable decision trail.
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 concise follow-up messages, nudges, reminders, and recap emails from open decisions, stale requests, or recent meetings. Use when the work is repetitive business writing with known context. Do not use for sensitive legal language, high-stakes negotiation, or board-level communication without 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。
Build or refine brand positioning with audience, category, differentiators, proof, tone, JTBD signals, and competitive context. Use when marketing, founders, or GTM teams need a positioning canvas, messaging pillars, or campaign foundation. Do not use for isolated ad copy tweaks with no strategy question.
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。
Write structured job descriptions with clear requirements, responsibilities, and employer value proposition. Follows SHRM BASK competency framework. Adapts tone to employer brand and industry context. Use when creating new positions or updating existing JDs. Do not use for internal performance criteria or career ladder definitions.
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。
Write Architecture Decision Records (ADRs) following the Michael Nygard format. Captures context, options considered, decision rationale, and consequences. Use when making technology choices, framework selections, or any architectural decision that future developers need to understand.
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, diagnose, or optimize the persistent OpenClaw fleet, native CLI routing, skill loading, run evidence, and context recovery. Use for orchestration operations; product implementation uses its own relevant skills.
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Use this agent when you need to synthesize and distill the core functions of a gene from multiple information sources (textual summaries, reviewed annotations, bioinformatics analysis) and populate the `core_functions` section of a gene review YAML file. This agent should be called after completing the gene research, annotation review, and bioinformatics analysis phases of a gene review project.
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 and fix Flutter layout, overflow, unbounded constraint, scroll, and responsive rendering issues in this repository while preserving the template's existing feature, theme, localization, and shared widget patterns. Use when UI overflows, text clips, widgets disappear, layouts fail on mobile/tablet/desktop, or a feature needs responsive behavior.
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。
Zustand stores, client state patterns. Use when deciding between Zustand vs useState, managing global state, or avoiding Context misuse.
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。
Svelte 5 runes — $state, $derived, $effect, $props, $bindable, snippets, callback props, context. Load when writing Svelte 5 components or reactive modules.
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。
Headless rich text editor framework built on ProseMirror. Use when building an editor with TipTap — setup, extensions, custom nodes and marks, menus, node views, serialization.
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。
tRPC type-safe API patterns — routers and procedures, input validation, context and middleware, TRPCError, and the typed client bridge
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 Native Skia GPU-accelerated 2D graphics - Canvas, declarative drawing, shaders, image filters, Paragraph text, Atlas batch rendering, Reanimated animations
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。
CLI specification planning frameworks. Use when a spec touches a command surface, an interactive flow, config precedence, exit codes, or output modes. Covers flag contracts, prompt flow design, precedence tables, exit-code taxonomy, TTY/piped/JSON output, error text, signals, and cross-platform concerns.
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。
GraphQL API server with Apollo Server — schema, resolvers, context, error handling, data sources, plugins
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 content platform — GROQ queries, schema definitions, @sanity/client, Portable Text, image handling, real-time listeners, mutations, TypeGen
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。
Speech-to-text transcription and translation via OpenAI Audio API -- models, response formats, timestamps, prompting, streaming, chunking, and diarization
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。
Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG
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。