Use this skill whenever the user wants to store, retrieve, search, or manage persistent semantic memory. This includes requests related to memory management, knowledge retention, context caching, storing information across sessions, semantic search over past conversations, tagging and organizing stored information…
Recall and maintain one Agent's private, sourced experience together with human-reviewed shared ART Knowledge Editions. Use when prior decisions, procedures, project facts, user preferences, earlier failures, or reusable conclusions may affect the current task, and when the user asks to remember, retrieve, correct, or…
Run long-lived autonomous agent loops with persistent memory, context-window compaction, self-healing retries, and resumable state. Use when an AI coding agent must retain progress across sessions, recover from failures, or avoid context exhaustion.
Instrucciones arquitectónicas sobre cómo guardar, procesar o buscar conocimientos, PDFs, y reflexiones dentro del ecosistema LLM-Wiki MCP. Usa este skill cuando el usuario pida "memorizar", "guardar" o procesar nueva información.
Add persistent, structured long-term memory to AI agents using Maximem Synap. Use this skill whenever the user is building, debugging, or evaluating an AI agent and mentions any of: "memory", "long-term memory", "persistent memory", "agent memory", "remember across sessions", "context window", "agent forgets", "user…
Use when working day to day with an existing goat shed — running goat commands, inspecting or querying facts, understanding broadcast vs conversation, ownership/visibility of facts, tags, or writing a new importer or deliverer. Also use when explaining goat's data model (facts vs state vs reference, valid time vs…
After successful integration, capture the working contract as a reusable skill. Prevents the same integration from breaking again. Trigger after fixing integration bugs or completing complex features.
Always use Memory Store MCP tools for durable project-local AI memories and notes. Required whenever Codex is researching a project, applying code edits, completing a feature, initializing .memory-store, searching, reading, creating, updating, deleting, or cleaning up persistent project knowledge across sessions…
A semantic compression skill backed by a local MCP server. Compresses PRDs, codebases, research papers, and meeting notes into dense symbolic notation (SHM), reconstructs them back into prose, and manages a persistent library of saved compressions. Trigger on: SQUEEZE, EXPAND, LIST SQUEEZES, RECALL, SEARCH, DELETE…
Use when an agent or application needs persistent memory, cross-session recall, user preferences, durable facts, conversation history, cited document context, memory governance, or direct Turing AgentMemory MCP integration.
Auto-activate when the user types /zero or asks about the Zero system — boot, health-check, sync, install, or troubleshoot — e.g. "/zero", "เปิด zero", "เช็คระบบ zero", "zero status", "ติดตั้ง zero", "zero ไม่ทำงาน", "ซิงก์สมอง", "อัปเดตสมอง", "zero-brain", "สกิลของ zero". Covers the /.zero zone — brain vault…
Use at the start of any coding session to recall project context stored by other agents/tools, and every time you reach a decision a future session would otherwise have to work out again. Applies when starting work on a project, resuming after a break, switching from another tool (Codex, Cursor, Gemini/Antigravity…
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