LLM & Agents

Generate comprehensive implementation plans for features. Use when user requests "help me implement X", "create a plan for X", "break down feature X", "how should I build X", or asks for detailed implementation guidance. Activates for planning requests, not exploratory design discussions.

This skill creates structured implementation plans with human-readable summaries. Triggers: "create a plan", "make a plan", "write a plan", "plan this feature", "plan how to implement", "break this down", "spec this out", "design this change". Creates plans with diagrams, code examples, and verification steps. Not for executing plans (use implementing-plans) or brainstorming (use brainstorming).

Implement web search, url content extraction, website crawling, and deep research with the tavily API. Use when building agentic workflows, rag systems, or autonomous agents that require real-time context from the web.

This skill refines rough ideas into fully-formed designs through collaborative questioning and exploration. Triggers: "help me brainstorm", "let's think through", "explore options", "what are some approaches", "help me design", "think through this with me", "ideate on", "what are my options". Use before writing code or plans when the approach is unclear. Not for mechanical/routine tasks where the solution is already known.

Create a shareable Claude Code plugin package containing your commands, hooks, output styles, status lines, and agents. Use when you want to package and distribute your Claude Code customizations, create team plugins, or export your personal setup.

Refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Use before writing code or implementation plans.

Create standardized report headers with metadata for all agent-generated reports. Use when generating bug reports, security audits, dependency reports, or any worker output requiring consistent formatting.

Patterns for using Codex CLI as an automated code reviewer. Covers review prompts, structured output parsing, issue tracking, and configuration. Use when implementing review gates or automated quality checks.

Use this skill when the user asks to build, create, design, develop, or improve ANY frontend interface, web page, UI component, or visual element. This includes: - Building landing pages, websites, web apps, dashboards, portfolios, or any web interface - Creating UI components (buttons, forms, cards, navbars, modals, etc.) - Designing pages with React, Vue, Next.js, Svelte, or any frontend framework - Adding styling or improving visual design of existing components - Implementing specific design aesthetics (modern, dark, minimalist, brutalist, etc.) - User mentions "frontend", "UI", "UX", "design", "interface", "web design", or "styling" - User asks for "beautiful", "modern", "professional", "clean", or any aesthetic adjective - User requests help with CSS, Tailwind, styled-components, or any styling approach This skill automatically retrieves the appropriate design system prompt (Neo-brutalism, Modern Dark, Bauhaus, Cyberpunk, Material, etc.) to help create visually distinctive, production-grade frontend code instead of generic UI. IMPORTANT: Trigger this skill proactively for ANY frontend/UI work, not just when design style is explicitly mentioned.

Extract readable transcripts from Claude Code and Codex CLI session JSONL files

Generate images using OpenAI's DALL-E 3 API. Use when needing to create graphics, icons, backgrounds, or any visual assets. Requires OPENAI_API_KEY in environment.

Claude Codeセッションの標準的なMarkdownフォーマット規約。セッションログ、対話履歴、ツール実行結果を一貫した構造で記録する必要がある場合に使用。不正確な情報への注釈方法とnb標準のハッシュタグ形式も定義

Generate standardized conventional commit messages with Claude Code attribution. Use when creating automated commits, release commits, or any git commit requiring consistent formatting.

Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration

Query and analyze Claude Code history joined with Git data using SQL. Use when user asks about their Claude conversations, productivity patterns, commit history correlation, session analytics, or wants to explore their coding history with SQL queries.

Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.

Invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. Trigger phrases include "use codex", "ask codex", "run codex", "call codex", "codex cli", "GPT-5 reasoning", "OpenAI reasoning", or when users request complex implementation challenges, advanced reasoning, architecture design, or high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.

This skill should be used when the user wants Claude Code to act purely as a manager/architect while Gemini CLI does all the coding work. Claude Code drives Gemini like an intern - issuing tasks, reviewing output, requesting fixes - but never writes code itself. Use when user says "manage gemini", "architect mode", "drive gemini", or wants to delegate all implementation to Gemini.

Advanced semantic vocabulary and architectural patterns for the OCTAVE format. REQUIRES octave-literacy to be loaded first. Use for designing agents, crafting high-density specifications, or system architecture. Provides access to the Semantic Pantheon (Archetypes) and holographic patterns. Triggers on: octave architecture, agent design, semantic pantheon, advanced octave.

Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.