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Found 424 Skills
SEO, AEO (Answer Engine Optimization), and GEO strategy for search engines and AI visibility. Triggers on "SEO audit," "technical SEO," "on-page SEO," "AI search optimization," "AEO," "GEO," "AI visibility," "optimize for ChatGPT," "optimize for Perplexity," "AI Overviews," "answer engine optimization," "generative engine optimization," "AI citations," "featured snippets," "meta tags," "schema markup," "search ranking," "content optimization," "E-E-A-T," "structured data," "search console," "SEO health check," "why am I not ranking," "AI search readiness," "backlink strategy," "link building," "domain authority," "programmatic SEO," "SEO at scale," "template-based SEO," "AEO monitoring," "AI search monitoring," "JSON-LD," "rich snippets," "schema.org," "SERP analysis," "search intent," "site architecture," "information architecture," "URL structure," "internal linking," or "navigation." For keyword research, see keyword-research-and-clustering.
スキルを作成・更新・プロンプト改善するためのメタスキル。 **collaborative**モードでユーザーと対話しながら共創し、 抽象的なアイデアから具体的な実装まで柔軟に対応する。 **orchestrate**モードでタスクの実行エンジン（Claude Code / Codex / 連携）を選択。 Anchors: • Continuous Delivery (Jez Humble) / 適用: 自動化パイプライン / 目的: 決定論的実行 • The Lean Startup (Eric Ries) / 適用: Build-Measure-Learn / 目的: 反復改善 • Domain-Driven Design (Eric Evans) / 適用: 戦略的設計・ユビキタス言語・Bounded Context / 目的: ドメイン構造の明確化 • Clean Architecture (Robert C. Martin) / 適用: 依存関係ルール・層分離設計 / 目的: 変更に強い高精度スキル • Design Thinking (IDEO) / 適用: ユーザー中心設計 / 目的: 共感と共創 Trigger: 新規スキルの作成、既存スキルの更新、プロンプト改善を行う場合に使用。 スキル作成, スキル更新, プロンプト改善, skill creation, skill update, improve prompt, Codexに任せて, assign codex, Codexで実行, GPTに依頼, 実行モード選択, どのAIを使う, IPC Bridge統一, API統一パターン, safeInvoke/safeOn, Preload API標準化, IPC handler registration, Preload API integration, contextBridge, Electron IPC pattern
Interactive MCP visual output via @json-render/mcp. Upgrade plain JSON tool responses to interactive dashboards rendered in sandboxed iframes inside Claude, Cursor, and ChatGPT conversations. Covers createMcpApp(), registerJsonRenderTool(), CSP config, streaming, and dashboard component patterns. Use when building MCP servers that return visual output, upgrading existing MCP tools with interactive UI, or creating eval/monitoring dashboards.
Check and improve your brand's visibility across AI search engines (ChatGPT, Perplexity, Gemini, Grok, Claude, DeepSeek). Set up tracking, run visibility analyses, audit your website for AI readability, and get actionable recommendations. Uses the npx goose-aeo@latest CLI.
Detect and remove AI-generated writing patterns from text while preserving semantic meaning and factual accuracy. Rewrites text to sound natural, varied, and human-authored across domains including academic, technical, blog, professional, and social media writing. Use this skill when the user asks to "humanize text", "make this sound human", "remove AI patterns", "rewrite to sound natural", "make this less AI", "de-slop this", "clean up AI writing", "make this not sound like ChatGPT", or provides AI-generated text and asks for a natural rewrite. Also trigger when reviewing drafts for AI tells, checking if text sounds AI-generated, or requesting a "human pass" on content.
imagine is a multi-provider command-line tool for generating and editing images via Google Gemini, Google Vertex AI, and OpenAI (gpt-image-2).
Jamie platform help — bot-free AI meeting note-taker, REST API with personal and workspace keys, webhook automations, CRM sync to HubSpot/Salesforce/Attio, MCP server for Claude/ChatGPT/Cursor. Use when setting up Jamie for a sales team, connecting Jamie webhooks to Make.com or a custom endpoint, pulling meeting transcripts and summaries via Jamie API, syncing Jamie action items to Asana or CRM, troubleshooting Jamie not recording or missing speakers, comparing Jamie pricing tiers, or configuring Jamie speaker recognition. Do NOT use for choosing between note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
Optimize content for AI search engines including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Microsoft Copilot. Covers generative engine optimization (GEO), AI citability audits, content structuring for extraction, schema markup, bot access configuration, and monitoring. Use when optimizing for AI search, AI overviews, generative search, LLM visibility, semantic search, entity optimization, or when user mentions AI SEO, GEO, Perplexity citations, ChatGPT visibility, or AI-generated answers.
Builds robust, tool-specific prompts from user intent using a structured extraction and routing engine. Use when the user asks for prompt creation, prompt repair, prompt decomposition, or adapting prompts across Claude, GPT, reasoning models, Gemini, coding IDEs, autonomous agents, and image tools.
Create or update content for the agegr/mindmap-ppt static presentation project from a prose draft, article, speech, report, or notes. Use when Codex needs to turn a written document into the project's project/source.js Markdown mind-map data, choose which nodes need illustrations, generate or request GPT Image 2 illustrations matching the project's restrained presentation style, place assets under project/, and validate the result with npm run check.
Use this skill to process bot review feedback on a pull request (for example coderabbitai and chatgpt-codex-operator). Invoke when bot comments arrive and the user wants triage, decision making, and implementation of required fixes.
Get a second opinion from leading AI models on code, architecture, strategy, prompting, or anything. Queries models via OpenRouter, Gemini, or OpenAI APIs. Supports single opinion, multi-model consensus, and devil's advocate patterns. Trigger with 'brains trust', 'second opinion', 'ask gemini', 'ask gpt', 'peer review', 'consult', 'challenge this', or 'devil's advocate'.