Boost efficiency with task automation and organizers.
Delegates coding tasks to Gemini CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSION_ID.
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coordination patterns, and Gherkin success criteria. Essential for defining reusable, validated workflow processes.
Research and generate Azure deployment guide with EasyAuth (Google + Facebook) and CosmosDB. This skill searches for current documentation and screenshots to produce an up-to-date setup guide at .docs/azure-setup-guide.md.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
Guide for creating effective skills. Use when creating a new skill or updating an existing skill that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Detects installed AI SDKs and configures appropriate integrations.
Queries Gemini 3 Flash for high-speed code analysis, generation, and complex coding questions. Provides P0-P3 prioritized analysis reports, architecture audits, and code generation with configurable thinking levels (minimal/low/medium/high). 1M context, 64K output. Pro-level intelligence at Flash pricing.
Analyze repository structure and generate standardized AGENTS.md files that serve as contributor guides for AI agents. Measures LOC to determine character limits and produces 5-section documents covering overview, folder structure, patterns, conventions, and working agreements.
This skill should be used when creating, configuring, or working with Claude Code subagents. Use when users ask to create custom subagents, set up subagent configurations, manage tool permissions, or need guidance on subagent architecture and best practices.
Generate Skills from HTTP MCP servers with async job patterns (submit/status/result). Use when converting MCP specifications (.mcp.json) into reusable Skills using mcp_tool_catalog.yaml, or when calling async MCP tools via JSON-RPC 2.0 with session-based polling.
Use when user says "resume session", "what did I work on", or "find conversation about [topic]". Automatically searches, resumes, and analyzes Claude Code sessions. Handles session discovery, content search, and automatic session restoration from any directory.
This skill should be used when the user asks to "/gobby-plan", "create plan", "plan feature", "write specification". Guide users through structured specification planning and task creation.
Headless browser automation CLI for AI agents. Use when you need to interact with web pages, fill forms, click buttons, scrape content, take screenshots, or automate any browser-based workflow. Provides snapshot-based element selection optimized for AI agents, session management for parallel browsing, and full Playwright capabilities via CLI.
Create new Skills for Claude Code including YAML frontmatter, descriptions, instructions, and structure. Use when creating, building, or designing skills, or when asked about skill creation, structure, best practices, or debugging skills that don't activate properly.
Create new AI agent skills following the SKILL.md guidelines. Generates complete skill structure including SKILL.md with YAML frontmatter, optional bundled resources (scripts/, references/, assets/), and updates the repository README.md. Validates user input and requests clarification when information is insufficient.
Claude Agent SDK（@anthropic-ai/claude-agent-sdk）を使用したエージェント統合の実装を専門とするスキル。 query() API、Hooksシステム、Permission Control、Electron統合、ストリーミング処理を支援します。 Anchors: • Claude Agent SDK Official Docs / 適用: SDK API、Hooks、Permissions / 目的: 公式パターンに準拠した実装 • Electron IPC Best Practices / 適用: Main-Renderer間通信 / 目的: セキュアなプロセス間通信 • TypeScript Handbook / 適用: 型定義、ジェネリクス / 目的: 型安全なSDK統合 Trigger: Claude Agent SDKを使用したエージェント機能実装、query() APIストリーミング処理、Hooksシステム実装、Electron統合、Permission Control設計、MCP統合を行う場合に使用。 claude-agent-sdk, query API, PreToolUse, PostToolUse, PermissionRequest, Electron IPC, MCP, ストリーミング, 権限制御
This skill should be used when the user asks to "add AI chat", "implement streaming UI", "use useChat hook", "add AI completion", "implement useCompletion", "create conversational interface", "add streaming text", "implement tool calling UI", "create generative UI", "add AI-powered features", "implement StreamableUI", or mentions AI SDK, streaming responses, chat interfaces, or AI-generated content in React/Next.js applications.
Guide for creating and registering new LLM tools in the DEVS platform. Use this when asked to create a new tool, add tool capabilities, or extend the tool system.
Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt workflow, ensuring consistent syntax across all commands and skills.
Standalone CLI bridge - launch external AI CLIs (gemini, codex, claude) directly without MCP server. Use when you need to delegate tasks to specialized CLI tools with their own context windows. Supports role-based prompts and file references.
Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coordination patterns, and Gherkin success criteria. Essential for defining reusable, validated workflow processes.
