Create, hand off, claim, execute, and close agent tasks through the MemPalace logstream. Use when the user wants to delegate work, prepare a ready-to-paste task for another agent, receive a MemPalace task id, or explicitly launch a supported headless agent in controlled mode.
MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys.
Convert Kami HTML templates to production-grade PDF via Chromium/Playwright. Complements Kami (design) with PDF rendering. Use when user asks to generate PDF files, render HTML to PDF, or export documents.
Generate PDFs, resumes, CVs, letters, slide decks, portfolios, one-pagers, white papers, and professional documents. Use when user asks to create a PDF, make a resume, write a letter, design slides, format a document, typeset a report, build a portfolio, make a presentation, or create a one-pager. Warm parchment…
Design GPU-accelerated animations with Web Animations API (WAAPI), Scroll-Driven Animations (ScrollTimeline/ViewTimeline), FLIP technique, easing systems, and accessibility (prefers-reduced-motion). Use when user asks to create animations, transitions, scroll effects, page transitions, or interactive motion for web…
Activate this skill when starting a new session, beginning a new task, saving knowledge, recalling past decisions, or after completing significant work. Also activate on errors to log them for pattern analysis. Relevant when the user asks about memory, past context, lessons learned, decisions history, project…
Explore 2-4 design options with pros/cons/criteria matrix before writing code. Use for L3-L4 tasks (refactors, architecture, new subsystems). Pairs with savedecision MCP tool.
Universal protocol for total-agent-memory MCP server. Activate at session start, before any non-trivial task, after every significant action, on errors, and at session end. Relevant whenever the user mentions: memory, recall, past context, decisions history, conventions, lessons learned, "продолжаем", "сохранись"…
Use when the user wants to generate TypeScript types from an OpenAPI document and wire them into the typed client produced by knowject-read-api. Triggers on phrases like "/knowject types", "把 openapi 转成 types", "给 read-api client 补类型", "生成 typed client 的类型", "rewrite the unknown placeholders", "wire types into the…
Use when the user wants to design MCP tool candidates, function/tool calling schemas, or agent tool risk gates from project API surfaces. Triggers on phrases like "/knowject mcp tools", "design MCP tools from this API", "把这些 endpoint 设计成 MCP tools", "为 agent 工具加确认 gate", "API-to-MCP tool design", or "which endpoints…
Use when the user wants to capture durable, source-cited project memory from repo artifacts, handoff notes, diffs, PR notes, or conversation summaries. Triggers on phrases like "/knowject memory", "沉淀一下这个项目的记忆", "把这次交接总结成 knowject memory", "capture project memory", "update knowject memory from these docs", or "把这次 PR…
Search and explore an Obsidian vault through the NoteBrain CLI (semantic search, tags, backlinks, connections, hidden links, boosted retrieval). Use it whenever the user mentions their notes, knowledge base, Obsidian vault, semantic search, finding connections or unlinked notes, or asks exploratory questions like…
Create or resume a session takeoff baton — a curated, ephemeral, git-ignored hand-off note that lets the next Claude session continue a long-running task. A repo can hold several batons at once, one per work line (topic). Use when the user says "交接", "takeoff", "交棒", "context 快滿了交接給下個 session", "hand off to next…
Production-grade FastAPI development with async patterns, Pydantic v2, dependency injection, ML/AI endpoint design, and modern Python best practices for building high-performance REST APIs.
Select and connect the right vector-store backend for the vector-mcp MCP server — chromadb, postgres/pgvector, qdrant, couchbase, or mongodb — and supply the correct dbtype/connection parameters that every collection and search call needs. Use when the agent must decide which engine to target, wire up…
Create, populate, list, and delete vector-store collections through the vector-mcp MCP server's vectorcollectionmanagement tool. Use when the agent must stand up a new RAG collection, ingest documents (from a directory, file paths/URLs, or raw text) into an existing collection, enumerate collections, or drop one …
Retrieve knowledge from a vector-store collection via the vector-mcp MCP server's vectorsearch tool — semantic (ANN) search, lexical BM25 search, or a hybrid of the two fused with Reciprocal Rank Fusion. Use when the agent must answer a question from an indexed corpus, pull top-k relevant chunks for RAG context, or…