Browse skills

Helps with analysis, MCP tools as part of orchestrating AI agents and multi-step workflows workflows.

Generates new AI agent skills based on provided descriptions, enabling rapid prototyping and experimentation for pjt222 users.

Generates new, fully configured AI agents based on provided specifications and desired capabilities.

Authentication And Credentials For Agentic Workflows — provides AI agent assistance for software development workflows.

Skill Authoring — provides AI agent assistance for software development workflows.

Skill Authoring — provides AI agent assistance for software development workflows.

Provides backend development guidance and assistance for software development workflows.

Coordinate multi-agent development pipelines using shared JSON task files. Supports Linear, DAG, and Debate modes for AI agent orchestration across code, test, docs, and monitor agents.

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure — works offline.

Three-layer progressive MCP client with Socket daemon. Query available tools, call MCP servers efficiently, and manage daemon processes. Reduces token overhead with lazy loading.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

The I18N skill translates user input and agent responses across multiple languages, enhancing global accessibility and communication.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

This AI agent automates trading on Uniswap by analyzing liquidity pools and executing trades based on pre-defined strategies for profit maximization.

Dynamically assigns tasks to multiple agents, optimizing workflow and resource allocation for complex objectives.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

Parcadei's agent-orchestration dynamically chains and manages multiple AI agents to achieve complex tasks efficiently.

Parcadei's agent-context-isolation prevents unintended knowledge leakage between agent conversations and tasks.

Decompose complex tasks into specialized sub-agents for improved efficiency and nuanced problem-solving capabilities.

Quickly gathers relevant information from web sources to answer questions or support decision-making tasks.

Generates detailed, step-by-step plans to achieve complex goals, optimizing actions and anticipating potential roadblocks.

Periodically checks external services & APIs to proactively identify and resolve potential issues impacting agent performance.