memory-management
Automatically manage user's personal memory, context, and decision tracking. Invoked when context updates are needed or decisions are made.
agent-memory
Implement agent memory - short-term, long-term, semantic storage, and retrieval
using-forgetful-memory
Guidance for using Forgetful semantic memory effectively. Applies Zettelkasten atomic memory principles. Use when deciding whether to query or create memories, structuring memory content, or understanding memory importance scoring.
ensue-memory
Augmented cognition layer that makes users smarter by connecting conversations to their persistent knowledge tree. Use proactively when topics arise that might have prior knowledge, and when users ask to remember, recall, search, or organize. Triggers on technical discussions, decision-making, project work, "remember this", "recall", "what do I know about", or any knowledge request.
memory-management
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session-context
Gathers session context for project-analysis agent including git history, recent plans, and pending work detection.
memory-hygiene
Maintains memory cleanliness with deduplication, validation, and expiration
context-graph
Use when storing decision traces, querying past precedents, or implementing learning loops. Load in COMPLETE state or when needing to learn from history. Covers semantic search with Voyage AI embeddings, ChromaDB for cross-platform vector storage, and pattern extraction from history.
learning-capture
Extract and consolidate key learnings, insights, and actionable takeaways from the current conversation session. Use when the user wants to capture, summarize, or document what was learned during the chat, create study materials from discussions, or save important discoveries and decisions for future reference. Triggers include requests like "capture learnings," "summarize what we discussed," "create notes from this conversation," "what did I learn today," or "document our key findings."
learn
learn from the current session
curating-memories
Use when creating new memories to check for duplicates first, when discovering outdated information that should be marked obsolete, when new decisions supersede old ones, or when building connections between related knowledge in Forgetful MCP (mcp__forgetful__* tools).
using-forgetful-memory
PROACTIVELY query Forgetful MCP (mcp__forgetful__* tools) when starting work on any project, when user references past decisions or patterns, when implementing features that may have been solved before, or when needing context about preferences. Save important decisions, patterns, and architectural insights to memory.
taskman
Agent memory and task management CLI. Use this skill when you need to persist context across sessions, track tasks, hand off work, or store temporary agent scratch data. Provides the `taskman` CLI for init, sync, describe, and history operations.
Convex Agents Threads
Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.
context-engineering
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended interactions.
context-manager
Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.
agent-memory
Persist and retrieve repository-specific knowledge using AGENTS.md files. Use when you want to save important information about a codebase (build commands, code style, workflows) for future sessions.
memory
Long-term memory across sessions. Always use memory_search at the start of any user request (unless the user explicitly says not to), especially for questions about the user (profile/personal info/preferences), prior constraints or decisions, and resuming ongoing work; use memory_write only when the user explicitly asks to store memory.
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