Explore our collection of Agent Skills to enhance your AI workflow.
Equips AI agents with nine reinforcement learning algorithms to optimize decision-making and behavior through experience.
Implements the SPARC framework to orchestrate multi-agent workflows across five systematic development phases from specification to completion.
Enhances Claude's task management by automating the brainstorming, planning, and execution phases while tracking progress in a dedicated journal.
Automates code quality verification, truth scoring, and intelligent rollbacks to ensure high-reliability agent outputs.
Generates production-ready Claude Code Skills with standardized YAML frontmatter and progressive disclosure structures.
Identifies and reduces code duplication to streamline software architecture and improve codebase maintainability.
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.
Generates structured, command-focused technical documentation based on recent development activity and branch history.
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 a multi-agent workflow to transform vague project ideas into comprehensive technical specifications for frontend-only web applications.
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.
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.
Manages generic file I/O operations and directory structures within Plan Marshall orchestration directories.
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.
Establishes a standardized requirements and specification documentation framework for new CUI projects.
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.
Orchestrates complex agent behaviors and institutional knowledge through mandatory skill-chaining and governance protocols to ensure high-compliance software development.
Connects Claude to the OpenAI Codex CLI to provide second opinions, code reviews, and automated file modifications.
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