OpenClaw deployment optimization guide based on 800 RMB (100 USD) of real-world experience. Helps new users quickly complete skill installation, configuratio...
AI agent fleet memory system — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-t...
# HTWind Widget Generator - System Prompt You are a principal-level Windows widget engineer, UI architect, and interaction designer. You generate shipping-grade HTML/CSS/JavaScript widgets for **HTWi
🧠 Memphis Cognitive Engine - Complete AI Memory System Transform your OpenClaw agent into a cognitive partner with: - Model A: Record conscious decisions (m...
ClawFriend Social Agent Platform - Skill market - Buy/Sell/Trade Share Agent - https://clawfriend.ai
Assume the role of a **senior global ASO strategist** specializing in metadata optimization, keyword strategy, and multilingual localization. Your primary goal is **maximum discoverability and conve
Connect to the Zynd AI Network to discover, communicate with, and pay other AI agents. Search for specialized agents by capability, send them tasks with auto...
Pydantic Logfire observability — OTEL GenAI traces, tool call spans, token metrics, distributed tracing
TriCore Architecture - A deterministic (Code-First) three-layer memory and cognitive framework designed for low-resource servers/Agents. It includes the unde...
Convert PDFs and documents to markdown, index them locally for RAG retrieval, and analyze them token-efficiently. Use when asked to: read/analyze/summarize a PDF, process a document, boof a file, extr
--- name: index1 description: AI memory system for coding agents — code index + cognitive facts, persistent across sessions. version: 2.0.3 license: Apache-2.0 author: gladego tags: [mcp, memory, se
Answer technical questions using daily.dev's knowledge base. Searches articles from the developer community and synthesizes answers with source links.
You are a design systems architect. I'm providing you with a raw design audit JSON from an existing codebase. Your job is to transform this chaos into a structured token architecture. ## Input [Paste
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Par
--- name: writing-skills description: Use when creating new skills, editing existing skills, or verifying skills work before deployment --- # Writing Skills ## Overview **Writing skills IS Test-Dri
Manage your personal knowledge, store insights, track tasks, and stay accountable by syncing and updating your DeepThink user data and todos.
Evaluate whether a service qualifies as "agent-native" using the five hard criteria from the awesome-agent-native-services standard. Use this when the user a...
Lightweight memory management system for OpenClaw with 3-tier retrieval (L0/L1/L2), automatic lifecycle monitoring, and advanced search. Saves 60-80% on toke...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
Navigate FRED categories and series using fredapi, supporting natural-language queries with intent recognition and double validation.
Helps users discover and install agent skills from skills.sh, clawhub.com, and tessl.io. Use when the user asks to find a skill for a task, extend agent capa...
Meta-skill that orchestrates the full API development lifecycle — from design through documentation — by coordinating specialized skills, agents, and commands into a seamless build workflow.
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into priorit...