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概要と使いどころ
Generate a rules file for any AI coding agent. Interactive setup that scans installed skills, asks about workflow preferences, and writes a tailored instruction file for Claude Code, Cursor, Windsurf, Copilot, Gemini, Roo Code, or Amp. Supports global (user-level), project team-shared, and project dev-specific scopes.
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 assistant for creating clear, actionable task descriptions for GitHub Copilot agents
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 new agent skills following modern best practices with proper structure and documentation. Use when asked to build a new skill, organize skill resources, design skill descriptions, or validate skill structure for portability across Copilot platforms.
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 multi-platform skill compatibility across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and other AI coding agents.
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 addressing PR review comments from Copilot, Claude, or human reviewers. Critically assesses each comment, recommends action (implement/push-back/discuss), and executes appropriately.
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。
Add a new AI provider to agentconfig.org's comparison system. Use when integrating a new coding assistant (e.g., Cursor, Claude Desktop, GitHub Copilot alternative) with proper type system updates, implementation data, UI components, tests, and documentation.
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 FinOps guidance for cloud, AI, and SaaS technology spend. Covers AI cost management, agentic FinOps, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, open-weight vendor APIs (DeepSeek, Qwen, Kimi, GLM), AWS (EC2, Bedrock, SageMaker, Savings Plans, CUR), Azure (reservations, AHB, OpenAI PTUs), GCP (Vertex AI, BigQuery), OCI, Kubernetes cost allocation, data platforms (Databricks, Fabric F-SKUs, Snowflake), tagging governance, SaaS management (SAM, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Codex), ITAM, allocation, showback, chargeback, anomaly management, KPIs and benchmarking, waste detection playbooks, workload onboarding and M&A, and GreenOps (cloud carbon, CSRD). Use for any question about technology cost or waste in your estate - expiring commitments or RIs, NAT gateway bills, idle VMs, snapshot sprawl - and for commitment sizing, rightsizing, allocation, SaaS sprawl, AI dev tool spend, or connecting spend to business value. Built by OptimNow.
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。
Remove the AI tells readers react to in a Facebook Page post: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, announcement auto-pilot. Also --mode audit (under-80 sweet spot, hook, engagement bait), --mode profile (learns how you write) and --mode interview (fills your Story Bank: the stories, scars and numbers posts are made of). Not for writing from scratch (use fb-post-writer). Keywords: humanize, de-AI my post, interview me, audit before posting.
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。
Rebuild or update the course overview video (about 98 seconds) for this course in videos/overview. Use when running /overview-video, or when asked to refresh the course overview video, add a chapter or feature to it, retake its dark-mode app screenshots, change its copy or timing, add music, or render a new MP4.
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。
Review changes in samples/book-app-web for accessibility, responsive layout, tests/build validation, and small beginner-safe changes.
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。
Wrap a raster image in an SVG and overlay a numbered red "step" circle for course screenshots. Use when running /create-svg-image, or when asked to add a numbered callout badge to an image (e.g. a red circle with a "1" pointing at a UI control) that must still render on a GitHub README.
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。
Easy-to-use conversational CLI (Codex style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
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。
Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
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。
Automates ArgoCD application synchronization using the ArgoCD gRPC/REST API and argocd-autopilot CLI. Manages ApplicationSets, sync waves, and health assessments for Kubernetes deployments.
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 Chops to discover, search, edit, and organize local or remote agent skills across Claude Code, Cursor, Codex, Windsurf, Amp, Copilot, and Aider.
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。
Hunt vulnerabilities in LLM-powered applications — direct/indirect prompt injection, system prompt extraction, ASCII smuggling, RCE via code tools, agentic AI exploits (ASI01-ASI10), data exfiltration via response channels, IDOR in chat history, jailbreak chains, RAG poisoning. Use when target has a chatbot, AI assistant, copilot, or agentic AI features.
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。
This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
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。
Plan and record evidence-backed LLM and AI-search citation checks across approved assistant/search surfaces with timestamped queries, locales, modes, cited URLs, snippets, screenshots or transcripts, and caveats. Use this skill when the user asks whether ChatGPT, Perplexity, Claude, Gemini, Copilot, or another assistant cites a target site, but do not claim citation without direct 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。
Use when a local coding agent (Codex, Claude Code, Cursor, or similar) needs to operate Multica through the authenticated `multica` CLI: reading or updating issues, comments, metadata, labels, custom properties, subscribers, projects, agents, squads, runtimes, repos, skills, autopilots, attachments, or workspace state; searching issues; inspecting or cancelling agent runs; replying to a Multica issue from an external agent; creating or triaging issues; checking linked pull requests; or safely handling Multica mention/status side effects without relying on the Multica hosted agent runtime.
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, measures, and improves an Answer Engine Optimization program across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. Use for AEO, GEO, LLMO, AI search visibility, AI citations, brand mentions, answer-engine monitoring, llms.txt, AI crawler audits, or questions like 'what does AI say about us?' and 'why are competitors cited instead of us?'. Produces a durable evidence report and prioritized gameplan, not a one-shot content checklist.
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。
Full autopilot — plan, implement, and polish a task end-to-end.
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。
知识检索专家（瑞卡 Rika）。使用 RAG 技术处理多格式文档（PDF/Word/Excel/Markdown/HTML），构建向量知识库，进行语义检索并为问答提供带来源引用的上下文增强回答。 触发词：由 copilot-team-lead 主理人调度执行，不直接面向用户。当主理人下发文档检索、知识提取或 Phase 4 知识增强任务时激活。
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。
洞察报告撰写师（若溪 Rex）。综合多源数据分析结果、知识检索发现和可视化图表，撰写结构化分析报告。输出包含执行摘要、核心发现、图表和决策建议的 HTML/Markdown 报告。 触发词：由 copilot-team-lead 主理人调度执行，不直接面向用户。当主理人下发 Phase 3 报告撰写任务时激活。也可响应纯报告撰写需求。
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。
智数分析专家团主理人（诺亚 Nova · 首席数据编排师）。协调 5 位专业成员（sql-analyst、data-scientist、knowledge-researcher、dashboard-designer、report-composer）按预设 Workflow 完成端到端数据分析交付。 触发词："分析数据"、"生成报告"、"数据画像"、"查数据库"、"数据分析"、"帮我分析"、"数据可视化"、"仪表盘"。 路由逻辑：单一维度任务走单 agent 直调；综合性任务走对应 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。