Turn an Obsidian vault into an AI-readable personal identity layer. Use when setting up ME.md and AGENT.md, scaffolding the full Knowledge Palace v2 structure, onboarding AI assistants, or maintaining the vault contract. Default setup creates the complete 30.knowledge system; --minimal creates only the lightweight…
Use when building a deciduous decision graph to capture design evolution, architecture history, or how a codebase's design changed over time. Provides the deciduous CLI commands and graph structure guidelines.
Build, extend, AND query a persistent LLM-maintained wiki for any research topic. Conversational entry point that routes between four modes — query (read-only Q&A against existing research with optional Q&A save-back), init (new topic ingest), append-deep (add sources to existing topic via short rounds), and…
Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents. Stores entities (modules, functions), their dependencies (imports), public API (shared/exports), and reasons for every connection. Use when: (1) project has a .dsp/ directory, (2) user asks to set up…
Operate a dedicated Codex session-management task: show backup progress and inventories, configure retention, safely back up or clean verified local Codex sessions, restore sessions, exchange cross-device evidence, or migrate legacy archives. Do not use for ordinary project-file backups or ChatGPT web conversations.
Incremental LLM-friendly wiki generator for Obsidian note vaults. Use when: (1) Building wiki from notes, (2) Ingesting notes to wiki, (3) Obsidian LLM wiki, (4) Incremental knowledge base management. Triggers: 'build wiki from notes', 'ingest notes to wiki', 'Obsidian LLM wiki', 'incremental knowledge base'.
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 you need to recall past work, previous decisions, error solutions, or project history. Activates the 3-layer memory search workflow for token-efficient retrieval.
Use when the user wants to create a new CLAUDE.md from scratch for a repository, bootstrap project memory for a new repo, set up a repo for Claude Code for the first time, or completely rewrite an existing CLAUDE.md deemed unsalvageable. Produces a lean, high-signal file under 80 lines (120 hard cap) by scanning the…
Use Enzyme in an already activated Obsidian, Markdown, or Hermes workspace for working-memory retrieval, source-grounded exploration, semantic search by concept rather than keyword, runtime note-writing, and refresh. If the workspace is not initialized, follow the first-time setup section before normal retrieval.
End-of-session ritual that turns sessions into institutional memory via Zengram. Detects repeatable workflows worth capturing as skills AND mistakes/corrections worth capturing as CLAUDE.md rules. Reflects honestly, stores to Zengram, updates local memory, spots workflow patterns, and proposes rule updates. Use when…
Activate a Cognitive Digital Twin. Can simulate a custom subject (via core/ directory) OR load pre-installed celebrity/expert personas (from personas/ directory).
Use GitMemo when users want Claude Code or Cursor to save AI conversations as Markdown, search chat history, create Git-backed notes, keep a personal knowledge base, sync memories to Git, or reuse past project context. GitMemo provides local-first conversation memory, notes, search, MCP tools, and optional Git sync.
Local-first cross-harness memory for agents. Syke observes activity across supported harnesses, keeps a current memex in context, and gives agents syke ask, syke memex, and syke record for continuity across sessions.
ZettelForge v2.0.0 — Production CTI agentic memory system. Hybrid TypeDB (STIX 2.1 ontology) + LanceDB (vector search). Zero external AI dependencies: fastembed for embeddings, llama-cpp-python for LLM. 75% accuracy on CTI queries, 18% on LOCOMO. Use when agents need persistent memory, threat intel retrieval, entity…
A note-taking system based on Zettelkasten, a method of keeping small, linked notes that can later be combined into larger pieces of writing. It turns source material into atomic notes, adds links, checks clusters of related notes, and can identify research gaps.
This skill should be used when organizing and structuring Personal Knowledge Management (PKM) vaults, particularly Obsidian vaults using the Linking Your Thinking (LYT) methodology. Use this skill when the user asks to analyze notes, create MOCs (Maps of Content), find related notes, organize folders, generate…
Use EverMe cloud memory proactively when the user refers to previous conversations, earlier decisions, "last time", "remember when", existing project conventions, or previously solved errors, and save durable user preferences, habits, and decisions the moment they are stated. Do not repeat a search when the host…
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: