Use when the user wants to capture, ingest, organize, query, or lint cross-project engineering experience or evidence-backed technical learning and AI-discussion conclusions in a configured Craft Wiki. Also use after a substantive approved architecture decision; verified development, performance, debugging, or review…
Create schema-compliant atomic notes in NODES/ from any input source — concepts, study notes, literature notes, or raw research — with deduplication, controlled tagging, MOC linkage, and relationship discovery. Activate this skill when the user asks to create atomic notes, extract concepts from study notes, atomize…
Capture out-of-scope discoveries, ideas, tasks, and questions into a per-repo SCRATCHPAD.md while coding, then retrieve, archive, or promote them later. Use this skill whenever the user wants to write something down to deal with later instead of now — "park this", "note that", "jot this down", "add a note", "look at…
Live graph memory for agents — query and create entities, derive relationships by rule, explain why two things are associated, read the graph at a past commit, ask what a change would do, and answer as one role. Trigger on: memory, remember, recall, relationship, entity, association, why are X and Y related, as of…
Search this project's own memory before doing something it may already have opinions about. Use before running a build/test/deploy command, before choosing a library or approach, before changing configuration or CI, and before re-opening a decision that may already have been settled. Also use when a task resembles…
Nahuali is evidence-aware memory for agents, with deterministic recall verdicts and explicit recorded-history checks. Load this skill whenever a task depends on context from earlier turns or sessions: recall before you answer (never assume), record what happened as it happens, assert durable facts only with evidence…
ACMI is a universal architectural framework for giving AI agents persistent, real-time context. It replaces fragmented, multi-table database joins with a single, lightning-fast Key-Value engine (Upstash Redis) optimized specifically for LLM context windows.
Use when Claude needs project-aware code memory, MCP context retrieval, repository indexing, causal code search, or Droste CLI workflows. Triggers include requests to index a repo with Droste, configure droste mcp, retrieve graph-aware context, inspect caller/callee relationships, avoid blind file reads, or keep…
Turn a repo's git history into memory an agent can use: hotspots, do-not-retry reverts, suppressions, fragile areas, and assertion weakening. Use when starting in an unfamiliar repo, before a refactor or large change, when something keeps breaking, when asked what was tried or why code is this way, or when deciding…
A reference for using weasley-deepmind, a server that stores and retrieves an AI agent’s long-term memories between sessions. It describes memory storage, search, language processing, and related tools.
A local tool for recording thoughts, memories, feelings, and daily events, then using them to build a personal profile and generate stories. It can produce diaries, novels, film scripts, memoirs, and reports from those entries.
Project notes system to prevent AI context loss and reasoning loops. Init notes, save mid-flow, recover context, migrate messy notes, resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.
A read-only review of project memories, notes, instructions, documents, and selected session records that produces a detailed report and a browser-viewable HTML report. It suggests ideas and insights but does not apply changes.
Memory consolidation and defragmentation for long-term memory maintenance. Use when asked to consolidate memories, defrag memory, run REM sleep, clean up memory files, or process session logs into durable memory. Also use periodically during heartbeats for memory maintenance.
Capture and retrieve durable project memory for spec-driven engineering, including decisions, constraints, setup steps, root causes, fixes, patterns, and reusable snippets through lightweight local indexing and keyword retrieval. Use this whenever the user wants to save knowledge for later, look up prior solutions…
Automatically prepare fidelity-first, bounded context when users paste text, attach files or folders, provide webpages or PDFs for Markdown conversion, continue long conversations, or supply documents containing images and complex tables. Route each input through Text, Hybrid, or Source; reduce exact or…
Use when resuming work after chat loss, switching AI models, migrating context to a new agent or workspace, or maintaining long-running research and project memory across sessions. Manages roadmap, decision log, hypotheses, research evidence, and recovery checkpoints as separate canonical files so no single transcript…
Persistent cross-session, cross-tool memory for this project via captain-memo. Use at the START of any non-trivial task to recall prior context, decisions, conventions, and past bugs/fixes, and whenever you'd ask "have we done / decided / hit this before?". Searches a shared local memory corpus (past session…
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: