webchat-audio-notifications

1.8k

openclaw

Add browser audio notifications to Moltbot/Clawdbot webchat with 5 intensity levels - from whisper to impossible-to-miss (only when tab is backgrounded).

podcast-studio

43

OneWave-AI

Generate podcast scripts from text content. Use Tone.js and Howler.js for audio mixing. Create intro/outro music, transitions, sound effects.

howler-sync

1

jbeck018

Synchronize howler-agents evolution data between local SQLite storage and a remote team database (Postgres). Push local runs to shared storage, pull team results, and manage the dual-mode persistence layer.

github-multi-repo

1

jbeck018

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

AgentDB Memory Patterns

1

jbeck018

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

V3 Deep Integration

1

jbeck018

Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.

V3 Memory Unification

1

jbeck018

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

github-code-review

1

jbeck018

Comprehensive GitHub code review with AI-powered swarm coordination

V3 Performance Optimization

1

jbeck018

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

AgentDB Advanced Features

1

jbeck018

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

V3 Core Implementation

1

jbeck018

Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

AgentDB Vector Search

1

jbeck018

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

ReasoningBank with AgentDB

1

jbeck018

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

ReasoningBank Intelligence

1

jbeck018

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

howler-init

1

jbeck018

Analyze the current repository using howler-agents to generate GEA knowledge events. Builds a structured understanding of the codebase -- architecture, patterns, dependencies, test coverage, conventions -- and stores it in the hive-mind so future howler-agents runs operate with full repo context.

howler-agents-wiggam

1

jbeck018

Combine the Ralph Wiggum iterative loop with howler-agents hive-mind + GEA evolution. Each iteration runs a full howler-agents pass, sees previous work in files, and uses collective intelligence to iteratively improve until a completion promise is met.

github-project-management

1

jbeck018

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

howler-setup

1

jbeck018

Initialize howler-agents: install the package, register the MCP server, create the .howler-agents/ directory, and verify the setup. Run this first before using any other howler skills.

V3 DDD Architecture

1

jbeck018

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

howler-auto-evolve

1

jbeck018

Run an auto-evolution loop that deploys evolved agents via claude-flow orchestration, executes real tasks, and feeds outcomes back into the GEA evolutionary cycle. Agents improve automatically based on real-world performance.