LLM & Agents

This skill orchestrates autonomous sprint execution by coordinating subagents to implement GitHub issues serially. It manages the full lifecycle: generating implementation plans via Gemini CLI, delegating implementation to subagents, reviewing PRs with Codex MCP, merging approved code, and running post-merge integration. Use this skill when asked to "run a sprint", "execute sprint issues", "implement issues autonomously", or "manage sprint workflow".

Master orchestration skill for Quest Keeper AI development. Use when working on ANY part of Quest Keeper AI - coordinates between frontend (Tauri/React), backend (rpg-mcp), and documentation. Triggers on any mention of Quest Keeper, rpg-mcp, game development for this project, or when referencing the Agents/ folder.

Documentation standards for README.md and AGENTS.md files - tone, structure, thin AGENTS.md philosophy

Use this skill for early-stage project planning. It leverages the Gemini CLI to generate high-quality first drafts of Product Briefs, Research Documents, and full PRDs, guiding users from idea to validated requirements. Triggers include "create PRD", "product brief", or "validate requirements".

Guide proper usage of Editor UI infrastructure including Drawers (ButtonDrawer, ModalDrawer, TableDrawer, etc.), Elements (drag-drop targets, ComponentSelector), FieldEditors, and EditorUIConstants. Use when implementing editor panels, component editors, or any ImGui UI code to ensure consistency and code reuse.

PostgreSQL and pgvector patterns for Tzurot v3 - Connection management, vector operations, migrations, and Railway-specific considerations. Use when working with database or memory retrieval.

Security best practices for Tzurot v3 - Secret management, AI-specific security (prompt injection, PII scrubbing), Economic DoS prevention, Discord permission verification, microservices security, and supply chain integrity. Use when handling secrets, user input, or security-critical code.

Creates new Agent Skills (SKILL.md + optional scripts/references) that follow the Agent Skills spec. Use when the user asks to create, structure, validate, or improve an agent skill.

Create a comprehensive SEO_STRATEGY.md covering both traditional SEO and Generative Engine Optimization (GEO) for AI platforms. Requires CUSTOMER.md to exist first. Includes platform-specific tactics for Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini with effort/impact prioritization.

Technical support and database management for OpenLink Virtuoso Server with RDF Views generation, SPARQL queries, and comprehensive database operations. Provides assistance with installation, configuration, troubleshooting, RDF data management, SQL/SPARQL/GraphQL queries, automated RDF Views generation from relational database tables, entity discovery, and metadata management using 23 specialized MCP tools.

This skill provides comprehensive guidance for running AI coding agents in non-interactive (headless) mode for automation, CI/CD pipelines, and scripting. Use when integrating Claude Code, Codex, Gemini, OpenCode, Qwen, or Droid CLI into automated workflows where human interaction is not desired.

Use this skill when configuring, building, or rebuilding CPython from source, running tests, or debugging test failures. Covers ./configure with --with-pydebug, make commands, ccache for faster rebuilds, Argument Clinic regeneration (make clinic), unittest-based testing with python -m test (NOT pytest), --match filtering, code coverage collection, and platform-specific build paths (Linux vs macOS).

长文档Markdown分段翻译技能（Agent自己翻译）

Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.

Orchestrate fixing issues found by /review. Handles issue discovery, user confirmation, prioritized execution, and progress tracking. Works with review output from any category (bugs, maintainability, types, docs, coverage, claude-md).

Post-creation workflow for new Claude Code plugins - structure, commands, publishing

Assess quality of PRPs and work-orders using systematic confidence scoring. Use when evaluating readiness for execution or subagent delegation.

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling".

AI-Agentic Product Owner accountable for maximizing product value through effective Product Backlog management. Use when creating PBIs, ordering backlog, or accepting sprints.

GitHub Actions security and authentication for Claude Code including API keys, OIDC, AWS Bedrock, Google Vertex AI, secrets management, and permission scoping. Use when setting up authentication or discussing security for GitHub Actions workflows.