Explore our collection of Agent Skills to enhance your AI workflow.
Implements a persistent, file-based workflow for complex task planning and execution using the Manus-style 3-file pattern.
Optimizes AgentDB implementations with advanced capabilities like QUIC synchronization, hybrid search, and distributed database management.
Orchestrates multi-agent workflows to design and specify modern Chrome extensions following Manifest V3 standards.
Implements ultra-fast semantic vector search for RAG systems and intelligent document retrieval using AgentDB.
Performs real-time web searches using the Gemini CLI to provide Claude with up-to-date technical information, news, and research.
Orchestrates multi-agent swarms using agentic-flow for parallel task execution, dynamic topologies, and intelligent coordination.
Equips AI agents with adaptive learning and pattern recognition capabilities to optimize strategies based on historical performance.
Optimizes distributed AI systems with low-latency QUIC synchronization, hybrid vector search, and advanced multi-database management.
Implements Schmidhuber's compression progress theory to provide intrinsic curiosity rewards for autonomous AI learning and exploration.
Automates the end-to-end GitHub release lifecycle using AI swarms for intelligent versioning, documentation, and multi-platform deployment.
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex automated task execution.
Implements high-performance adaptive learning and memory distillation for AI agents using AgentDB’s ultra-fast vector database.
Implements high-performance persistent memory and learning patterns for stateful AI agents using AgentDB.
Trains, deploys, and manages distributed neural networks across isolated E2B sandbox environments using advanced machine learning architectures.
Streamlines GitHub project management through swarm-coordinated issue tracking and automated board synchronization.
Manages the full lifecycle of Flow Nexus applications including cloud sandboxes, authentication, and app store deployments.
Automates the synchronization and marketing copy generation for plugin marketplaces within GitHub repositories.
Automates Claude Code operations through intelligent pre- and post-task hooks to streamline development workflows and agent coordination.
Generates production-ready Claude Code Skills using standardized YAML frontmatter and progressive disclosure architecture.
Connects Claude to the OpenAI Codex CLI to provide second opinions, code reviews, and automated file modifications.
Orchestrates dynamic agent compositions and manages specialized AI personalities for complex parallel workflows.
Provides a comprehensive guide to Cloudflare services, pricing, and architectural patterns for edge computing and web security.
Refines and polishes documents through iterative multi-phase review loops to improve clarity, consistency, and professional formatting.
Analyzes and optimizes Claude Code memory configurations to improve project context and AI efficiency.
Executes complex implementation plans autonomously through fresh context subagents and atomic git commits.
Provides comprehensive guidance and command references for the agent-browser CLI to enable AI-driven headless browser automation.
Provides comprehensive implementation patterns and best practices for Cloudflare's full suite of storage and database services.
Provides systematic guidance for migrating project rules from CLAUDE.md to modular rule files to optimize AI context and maintainability.
Designs intuitive, standardized, and production-ready command-line interfaces following industry best practices.
Optimizes AI contextual memory by providing a comprehensive framework for modularizing project rules and path-specific instructions.
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