Long-term Markdown project memory for AI coding agents. Use when the user wants to record, recall, audit, sync, or compress project decisions, architecture, conventions, monorepo scopes, or .lore/ entries, including natural-language requests like "remember this decision" or explicit lore…
The missing feedback loop for agentic development. Builds a living user model from AI coding session transcripts — extracts who the user is, what the AI keeps getting wrong, and what rules would prevent those mistakes. Writes the result to the memory system so every new session starts informed.
Persistent long-term memory via memini. Use to remember durable facts, decisions, and preferences, and to recall relevant context before acting. Triggers when the user says "remember", "what do you know about", or when starting a task that may have prior context.
Scheduled KB maintenance — ingest yesterday's meetings + session captures, synthesize raw notes into existing topical docs (decisions, people changes, conventions), resolve conflicts, age out stale entries, fix frontmatter and links. Translates raw data into knowledge. Runs unattended; never asks for confirmation. Use…
Search, browse, and resume past AI coding sessions across GitHub Copilot, Claude Code, OpenCode, Cursor, and Codex using the sessfind CLI. Use this skill whenever the user wants to find a previous conversation, search through session history, resume or continue an old session, check what was discussed before, look up…
Use Afu Brain as a MASL butler brain before executing OpenClaw or other agent tools. It turns private owner memory and human intent into safe decisions, skill routing, and approval gates.
Use agent-experience-capitalization as a project-owned, team-shareable engineering memory layer for coding agents. Use it to activate prior experience before work, save reusable lessons after work, inspect save/get/log health, and diagnose Milvus-centric retrieval.
A starter kit for creating an Obsidian vault, which is a folder of linked Markdown notes used as a personal knowledge base. It sets up folders, note templates, Obsidian settings, dashboards, and helper skills.
Semantic search, context management, and document indexing via OpenViking. Use when the user asks to: index/import documents or files into a knowledge base, perform semantic search across indexed content, browse or explore indexed resources, get summaries/overviews of indexed documents, manage an OpenViking instance…
A Russian-language guide for MemoHood, a conversation-memory plugin with tools for searching, recalling, capturing, pinning, and managing remembered facts.
How to use Memento — a local-first MCP memory layer for AI assistants — to remember and recall durable knowledge about the user, their preferences, conventions, decisions, and projects across sessions. Trigger this skill whenever the user has Memento connected and any of the following happens, even when the user does…
Bento packages AI agent workspace state into portable, layered OCI artifacts — everything git doesn't track: agent memory, dependencies, build caches, conversation history, session state. Checkpoints are standard OCI images pushable to any container registry.
Save a work checkpoint to preserve context for multi-session projects. Use when pausing work on a feature, completing a milestone, or before ending a session.
Persistent structured memory + telemetry + audit trail for Claude Code sessions. Use when the user wants automated capture, durable context, and standardized turn-by-turn logging.
Project memory system - save and search past decisions, preferences, context, and notes. Use when user says "remember this", asks "what did we decide about X", or wants to recall/store information.
A skill for turning information about a current partner into an AI skill containing relationship memories and a personality description. It can use chat histories, photos, and social-media posts, and supports later updates.
Install, set up, and use Reference — one MCP server that lets an AI agent search the past session transcripts AND memory files (CLAUDE.md, AGENTS.md, memory/.md) of every AI coding tool on the machine (Claude Code, Codex CLI, Cursor, VS Code, …). Use this skill when the user wants cross-tool recall ("what did we…
Use when running Spaced Repetition Systems for AI Agents (SRSA) daily review sessions, grading cards with again/hard/good/easy, and proposing explicit memory add/delete/update actions after each review.
Interactive walkthrough that builds the user's agent harness — Personalisation (/.claude/CLAUDE.md), Context (project CLAUDE.md), Memory (/.claude/memory/), Skills (/.claude/skills/), Agents (/.claude/agents/), and suggested MCP connectors. Use when the user asks to "set up my agent harness", "build my CLAUDE.md from…
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer for context survival, Compaction Recovery, and battle-tested security patterns. Part of the Hal Stack 🦞.
Maintain a personal, LLM-curated knowledge wiki in a git repo using the Karpathy LLM-wiki pattern. Use this skill when the user wants to ingest a source (article, paper, notes, URL) into their wiki, query accumulated knowledge ("what do I know about X?", "what did I learn from Y?"), or lint the wiki for drift.…
Knowledge management with QMD (Quick Markdown Search). Search, retrieve, and organize your personal knowledge base, notes, docs, and meeting transcripts. Use when asking about past notes, documentation, meetings, or when needing to recall information from your indexed markdown files.
Use AgentDir as a local-first flight recorder for non-trivial coding-agent work in software repositories. Load at the start of coding tasks, before tests/lint/build/typecheck, and when asked about AgentDir evidence, audits, session replay, memory, context packs, adoption, or handoffs.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: