发现最适合你需求的 AI 技能
Convert Elite Longterm Memory data into a structured ExpertPack. Migrates the 5-layer memory system (SESSION-STATE hot RAM, LanceDB warm store, Git-Notes cold store, MEMORY.md curated archive, and daily journals) into ExpertPack's portable format with multi-layer retrieval, context tiers, and EK measurement. Output is Obsidian-compatible — includes YAML frontmatter on all content files and can be opened as an Obsidian vault. Use when: upgrading from Elite Longterm Memory to ExpertPack, backing u
Share images, screenshots, and files from the AI workspace to users on the local network via HTTP. Use when the agent needs to show images, browser screenshots, or any files to the user and the current channel doesn't support inline media (e.g., webchat, CLI). Starts a lightweight Node.js static file server on LAN, managed by systemd. Drop files in the shared directory and send the user a clickable URL.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Monitor Google AI Studio (Gemini API) usage, rate limits, and quota consumption with automated alerts.
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Direct MyAnimeList lookup tool. Bypasses Jikan/API issues by using MAL's internal endpoints.
Runs a user-provided maintenance task bundle, optionally requesting elevation or sudo to execute admin-only fixes.
注册“饿了么”热门技能;当需要访问或自动化饿了么相关内容时调用。
Generate professional HTML proposals from meeting notes. Features 5 proposal styles (Corporate, Entrepreneur, Creative, Consultant, Minimal), 6+ color themes, and a Design Wizard for custom templates. Triggers on "create proposal", "proposal for [client]", "proposal wizard", "proposal from [notes]", "show proposal styles", "finalize proposal". Integrates with ai-meeting-notes for context. Outputs beautiful, responsive HTML ready to send or export as PDF.
Enforce execution discipline for ongoing work after the user has already approved direction. Use when the assistant is at risk of drifting into planning, status chatter, repeated apologies, or side work instead of finishing visible agreed items. Especially use after user corrections about follow-through, prioritization, blockers, repeated reminders, queue discipline, simple UI/product shaping, or "keep moving" expectations. Also use to turn repeated execution failures into reusable system improv
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
AI-powered EHR summarization using Transformer architecture to extract