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Analyze codebases and map task-relevant files before implementing changes. \n \n Automatically searches for related files, dependencies, tests, and similar code patterns to establish full context \n Generates structured markdown output with files to modify, dependency relationships, test coverage, and reference patterns \n Includes risk assessment checklist for breaking changes, migrations, and configuration updates \n Designed as a pre-implementation step to prevent missed dependencies and unin

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理

Automatically share Google Drive files with all attendees of a Calendar event. \n \n Requires gws-calendar and gws-drive skills as dependencies \n Retrieves event attendee list from Google Calendar, then grants each attendee reader access to specified Drive files \n Includes verification step to confirm sharing permissions were applied successfully \n

Deploy and manage full-stack web apps with Firebase App Hosting using Next.js, Angular, and other supported frameworks. \n \n Requires Firebase project on Blaze pricing plan; supports Server-Side Rendering (SSR) and Incremental Static Regeneration (ISR) workflows \n Deploy via firebase.json configuration with optional apphosting.yaml for backend setup, or enable automated \"git push to deploy\" through GitHub integration \n Includes secret management via CLI commands for secure access to sensiti

Web search optimized for AI agents with real-time data retrieval. \n \n Single command interface ( scripts/search ) for querying the web with results tailored for agent consumption \n Supports JSON output formatting for structured data integration into agent workflows \n Requires Tavily API key for authentication; free API key available from tavily.com \n

Routing hub for Convex backend development skills covering functions, schemas, realtime, storage, agents, and security. \n \n Routes to 11 specialized sub-skills via commands like /convex-functions , /convex-realtime , /convex-agents , and /convex-migrations \n Covers core patterns: queries, mutations, actions, reactive subscriptions, webhooks, file storage, and scheduled tasks \n Includes security-focused skills for audits and best-practice checklists \n Recommended entry point is /convex-best-

Ask an AI assistant what files it needs before answering your question. \n \n Prompts the assistant to identify required and optional files for context before attempting to answer \n Structures output into four categories: must-see files, helpful files, already-seen files, and remaining uncertainties \n Helps developers avoid incomplete answers by ensuring the assistant has examined relevant code upfront \n Reduces back-and-forth by clarifying dependencies and gaps in context before the actual q

Create GitHub Issues automatically from implementation plan phases. \n \n Analyzes implementation plan files to identify phases and generates one issue per phase \n Uses feature_request.yml or chore_request.yml templates, with fallback to default issue format \n Checks for existing issues before creation to avoid duplicates, and updates existing issues when needed \n Includes phase details, requirements, and context in issue descriptions with appropriate labels \n

Interprets shorthand, pseudo-code, and natural language descriptions to generate production-quality code. \n \n Assesses collaborator technical expertise (high/medium/low confidence) to determine how much interpretation and correction is needed \n Processes special shorthand notation marked with start-shorthand and end-shorthand boundaries; always removes ()=> lines when implementing \n Applies expert judgment to translate incomplete or imperfect descriptions into robust code, handling typos, te