Use when answering questions from a research library through the ARCHILLES MCP tools — picking the right tool for the question, choosing search mode and filters, and turning [docN] markers into citations a reader can follow. Covers searchbookswithcitations, listbooksbyauthor, searchannotations, listtags and the…
Token-efficient routing for a repo's Markdown docs. Use BEFORE reading or grepping any .md file to find the one canonical doc for a question — and to read it at the section level instead of whole. Trovex serves the single current doc per query (with a canonical/stale/duplicate freshness marker) for 60% fewer tokens…
Persistent cross-session memory via Engram's MCP tools (engramrecall, engramremember, engramcontext, engramfeedback, engramforget, engramstatus). Use this skill at the START of any session on a known project or with a known user — recall before acting. Also use it whenever the user states a preference, makes a…
Maintain the agent's persistent identity and user preferences. Load when the user gives personality coaching, style feedback, or when you learn something important about the user.
Use when starting a coding session, making design decisions, fixing bugs, or when the user asks to remember or recall something — manages persistent memory via the mem CLI across project and global scopes.
ClawDrive — agent-native local file platform with multimodal semantic search. Use for adding files, searching, sharing pots, inspecting/downloading shares, transcription (see transcription.md), and tunnels (see tunnels.md).
Manage Zilliz Cloud vector databases via zilliz-cli. Use when the user wants to: (1) set up zilliz-cli (install, login, configure), (2) manage clusters (create, list, describe, suspend, resume, delete, modify), (3) manage collections, indexes, partitions, databases, or aliases, (4) perform vector operations (search…
★not rated 5
changed 3d agoC180 tokens
originalApache-2.0
Progressive disclosure terminal workflow using the Go doc-cli tool to query self-docs over the HTTP API. Use doc-cli search to fetch minimal candidate IDs and snippets, then doc-cli get to retrieve exact chunk markdown.
Token-efficient web research for AI agents. Fetches, indexes, and queries web content locally via hybrid BM25 + embeddings, returning only the chunks that fit a token budget. Replaces raw webfetch for any task involving more than one source. Use when the user asks you to research, compare, summarize, or fact-check…
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…
★not rated 3
changed 3d agoA72 tokens
originalApache-2.0
Mandatory long-term memory workflow for Codex, Claude Code, and MCP clients backed by the local Ariadne server (Qdrant + bge-m3). Always use at the start or resumption of substantive project work, after context compaction, when prior work or decisions may matter, and immediately after durable decisions, gotchas…
Use this when someone asks to "search documents", "query RAG", "ingest file", "ingest PDF", "save web page", "add to knowledge base", or mentions document search, semantic search, vector search, or RAG operations. Covers score interpretation ( 0.5 skip), query tips, and ingestion guidance for querydocuments…
Search the user's local documents (PDF, docx, pptx, markdown, text, HTML, mbox email) through Haypile, a local search daemon. Use when the user asks what their files say, wants passages from contracts, papers, or notes, or wants a folder indexed for search. Every result carries a file and page citation. Runs entirely…
Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, context-pack, task-ledger, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and recurring source workflows.
Long-term memory tools for searching past knowledge, decisions, and lessons. Use when the user references past work, asks about previous decisions, or when you need context from earlier sessions.
Use when an agent should pick work up from Engram quickly and leave behind a clean structured handoff for the next session. Best for multi-step coding, investigations, releases, debugging, and any task where recent decisions and open loops matter.
Run health diagnostics on the amem memory database. Use when the user wants to check memory health, embedding coverage, stale memories, or diagnose issues.
Search, save, and query a three-tier semantic memory shared across all AI agents on your workstation. Use before starting any task (search first for prior context) and after completing significant work (save findings with entities for consolidation). Supports savedecision for full PROV-O provenance and…
Use when saving or recalling persistent memory via trailmem MCP tools (trailmemstore, trailmemquery, trailmemwelcome, ...), when a trailmem tool call fails or is rejected, or when unsure how to fill its parameters (project scoping, agenttype, eventtype, dedup, linking, archiving).
Use subconscious-mcp MCP tools (recall, remember, echo, driftreport, forget) for local semantic memory. Trigger when starting non-trivial work, before re-solving a problem, after completing a reusable task, on a nearduplicate warning, or when the user mentions memory, cache, or repeated work across sessions.
Consolidate the brain — refresh the index, review sessions since the last reflection, distill durable facts into memory files, compact the store, propose skills, commit. Use when asked to "reflect" or "consolidate memory"; also invoked headless by the nightly job.
★not rated 0 1mo agoA59 tokens
originalMIT
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: