AI Agent memory search using SQLite FTS5. 90%+ token reduction (10x+) compared to reading full files. Use when the agent needs to search through markdown mem...
Add persistent memory to any agent so it can remember prior work, maintain context across sessions, and continue long-running workflows.
--- name: finance-search-agent description: AI agent for finance search agent tasks --- # Finance Search Agent ## Overview This skill provides specialized capabilities for finance search agent. ##
Generates or completes 8D reports (Eight Disciplines) from customer complaint data, with D1–D8 fill-in guidance and a standard template. Supports customer-sp...
API connector for AetherLang Omega — execute 10 Karpathy-inspired agent node types (plan, code_interpreter, critique, router, ensemble, memory, tool, loop, t...
Guided learning skill — one concept at a time, gentle guidance, comprehension checks, chapter review
Intelligent memory layer for Clawdbot using Mem0. Provides semantic search and automatic storage of user preferences, patterns, and context across conversati...
--- name: Auto-Improve Skill description: Automatische Selbst-Verbesserung durch Fehler-Lernen und Pattern-Erkennung --- # Auto-Improve Skill **Kernprinzip:** Jede Aktion macht mich besser f
Track dog health, walks, training, routines, travel, and vet coordination with species-aware memory and emergency triage.
Manage and navigate a multi-layered, branch-based memory system. This skill helps organize complex agent context into Root, Domain, and Project layers to pre...
Persistent memory system enabling AI agents to remember facts, learn from experiences, and track entities across sessions for improved context awareness.
--- name: memory-lancedb-hybrid description: LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking). --- # LanceDB Hybrid Search (Memory Plugin) This skill packag
Guide users through building a custom multi-agent team on OpenClaw — from role design to workspace files, routing bindings, channel configuration, and collab...
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews...
Programmatic academic research assistant using CORE API to search, analyze, summarize, and write scholarly content with citation formatting and methodology c...
Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...
Test-driven behavioral verification for AI agents. Catches silent degradation when agent loads memory but doesn't apply learned behaviors. Use when building agent with persistent memory, testing after
Local persistent vector memory system using LanceDB and Ollama for semantic search and multi-user isolated long-term AI assistant memory.
A GitHub Intelligence Tool from an AI PM perspective. Goes beyond displaying data to deliver PM-grade paradigm insights. Powered by the locally authenticated...
🧠 Memphis Cognitive Engine - Complete AI Memory System Transform your OpenClaw agent into a cognitive partner with: - Model A: Record conscious decisions (m...
An embedded UX research skill that deeply studies how users interact with OpenClaw through passive ethnographic observation, structured micro-surveys, and re...
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure m...