「coding」の検索結果

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx) or Word templates (.dotx). Triggers include: any mention of Microsoft Word Documents, such as 'Word doc', 'word document', '.docx', '.dotx', 'microsoft doc'. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a deliverable as a Word or .docx file (to download, email or print), use this skill. However, if they ask for a document, page, report, memo, or notes WITHOUT naming a file format and the session offers Claude's own dedicated document or page skill or connector, use that instead, even if they will email or print it. Do NOT use for PDFs, spreadsheets, Google Docs, or coding unrelated to document 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。

Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.

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。

Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.

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。

Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data.

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。

Ask which skill or flow fits your situation. A router over the user-invoked skills in 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。

Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).

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-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

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 a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

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。

Route agent work through AccInt's MCP memory loop: retrieve prior outcomes, resolve frames, and close commitments with 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。

Prepare, validate, inspect, and edit EcoSIM soil management inputs using soil_mgmt_in NetCDF, editable Excel workbooks, and optional JSON files. Use when checking fertilizer, tillage, or irrigation management data; converting soil-mngt NetCDF to Excel for editing; converting edited Excel back to JSON or NetCDF; decoding fertf/tillf/irrigf selector variables; or validating EcoSIM ReadManagementMod.F90 soil-management inputs.

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。

Delegate a bounded repository task to an allowlisted external coding CLI through the guarded Flow runner. Use for automatic provider selection or explicit Codex, OpenCode, Kimi, Gemini, or Kiro delegation that requires timeout handling and independent local 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。

Systematically review pull requests, feature implementations, and code changes to ensure quality, maintainability, security, and adherence to best practices. Use when reviewing code before merging, conducting peer reviews, performing self-reviews, auditing code quality, checking for security vulnerabilities, ensuring consistent coding standards, verifying test coverage, assessing performance implications, evaluating architectural decisions, or providing constructive feedback to improve team code quality.

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。

Create well-structured, comprehensive Claude skills with clear activation criteria, detailed descriptions, usage examples, and proper documentation following best practices. Use when documenting new workflows, creating reusable skill patterns, establishing coding standards as skills, building team knowledge base, or expanding the skills library with new capabilities.

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。

End-of-session cleanup for coding and project work. Use when the user says "finish", "wrap up", "done for now", or any variation of ending a work session.

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 an externally created PR for coding rule violations against memory/INDEX.md atoms and docs/architecture/code-review-rules.md.

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。

Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)

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。

Eng manager-mode plan review. Lock in the execution plan — architecture, data flow, diagrams, edge cases, test coverage, performance. Walks through issues interactively with opinionated recommendations. Use when asked to "review the architecture", "engineering review", or "lock in the plan". Proactively suggest when the user has a plan or design doc and is about to start coding — to catch architecture issues before implementation. (gstack) Voice triggers (speech-to-text aliases): "tech review", "technical review", "plan engineering 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。

Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or automation-friendly CLIs.

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 type-driven design in Rust. Use when encoding invariants in types, applying newtype pattern, implementing type state machines, using PhantomData, or making invalid states unrepresentable.

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。

Provides Rust coding best practices for structure, patterns, performance, and error handling. Use when writing or reviewing Rust code, or when the user asks for Rust style guidance.

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。

Initialize AGENTS.md documentation for a codebase. Use when setting up a new repository for AI coding assistants, creating project documentation for Claude Code or Cursor, or improving existing AGENTS.md files.

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。

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

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。

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

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。

Derive and implement first-principles audio-coupled haptic and kinetic UI feedback. Use when designing, reviewing, or coding haptics/audio for mobile apps, native iOS/Android, React Native/Expo, SwiftUI, games, detent pickers, toggles, sliders, page curls, scroll gestures, wallet/signature flows, Solana transactions, backend/realtime state changes, confirmations, settlements, and semantic UI events where feedback should follow signal math instead of ad hoc vibration 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。