Build and maintain Moss Pikachu, a macOS menu bar semantic file search app using Moss Python SDK (PyPI moss>=1.6.0), FSEvents, SwiftUI, and Pikachu pet animations. Use when working on MossPikachu, mossworker.py, FileMonitor, SearchService, menu bar overlay, or Moss integration in this repository.
Discover prior agent work across sessions, projects, providers, and machines. Use for historical investigations and analogous solutions, or as a fallback when native conversation and history tools cannot recover the needed evidence.
ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring, and memory lifecycle (pin/snooze/forget). Use when tuning retrieval, troubleshooting recall quality, or any ClawMem…
Redis backends for Google's Agent Development Kit (ADK). Use this skill when the user wants to back an ADK agent with Redis: persistent sessions and long-term memory via Redis Agent Memory Server, RAG search tools over a RedisVL index (vector / hybrid / range / text / SQL), MCP toolsets for RedisVL or Agent Memory…
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.
Advance the Fortemi delivery roadmap by one concrete increment and document the progress. Reads .aiwg/planning/roadmap.md, picks the next actionable item respecting phase gating, does or dispatches the work, then records progress back into the roadmap. Built for fresh sessions and simple loops.
A Russian-language guide for MemoHood, a conversation-memory plugin with tools for searching, recalling, capturing, pinning, and managing remembered facts.
A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.
Discover LedgerMind when a user asks for persistent local agent memory, cross-session context, reusable task history, or workflow knowledge; explain its capabilities and limits, then offer a user-approved local installation.
User manual for the mind-mem persistent memory CLI (mm). Use when an agent needs to recall prior decisions, tasks or project facts from a mind-mem workspace, pack memory into context, check workspace health, review governed proposals, install or troubleshoot mind-mem, or answer questions about how mind-mem works …
Build a personalized Engrama memory graph for any user through a conversational interview. Use this skill whenever someone says "set up Engrama", "create my graph", "onboard", "build my profile", "configure Engrama for me", or asks how to start using Engrama. Also use when the user mentions they have a different role…
Answer doctrinal questions with verified citations from jw.org. Use when the user asks "¿qué dice la Biblia / Watch Tower sobre X?", "¿qué creemos sobre Y?", "respóndele a este argumento", or any topic that touches on JW doctrine (Trinity, soul, last days, blood, holidays, etc.).
Give an AI agent trusted persistent memory across sessions. Use before planning or answering when earlier runs may contain relevant decisions, failures, experiments, user corrections, unresolved work, or lessons that should influence the current task, and after learning a durable fact that future runs should inherit.
Use the another-brain MCP tools (remember, search, recent, get, reinforce, forget) as shared long-term memory. Activates at the start of a task that may continue previous work, when recalling past decisions/fixes/preferences, when learning something worth remembering across sessions or agents, or after using a…
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…
Search and read documents from a local Harbor Clerk knowledge base. Use when the user references their personal documents, contracts, notes, emails, or asks "what did I store about X?".
Deduction search over the 2dph brain (Ladybug graph: ops corpus, portfolio, ssh hosts) with bin/brain/search.go instead of reading files or grepping repos. Use whenever a question starts with "where is", "what runs on", "which file describes", "who is", "how is X done", before opening any documentation.
Summarize activity for the Ephemeral Buffer MCP repository, including commits, pull requests, issues, releases, and CI. Use for EB weekly or custom-period activity reports; do not use for implementing repository changes.
Search local indexed markdown knowledge bases. Use when the user asks to find notes, dig up a concept from personal docs, cross-reference ideas across wikis, or answer from indexed local files. Triggers on "look up in notes", "search my docs", "what did I write about", "find in my vault", "check my index", "retrieve…
Set up an external AI agent to connect to the Life Memory System through MCP, including verified installation, retrieval, RawEvent writes, sync, diagnostics, and Working-Agent governance. Use when an agent needs to install or verify the Life Memory MCP bridge, onboard Codex/Claude/Cursor/Windsurf style clients, or…
A Chinese-language search tool for finding content in a user's local collection, including documents, code, images with text, saved web pages, and video transcripts. It can also index files, find similar content, show time-based patterns, and map relationships between named things.
★not rated 0 7d agoA111 tokens
AGPL-3.0
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: