Browse skills

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

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.

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.

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

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.

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

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.

Eliminates unnecessary polling loops in agents, enabling faster responses and reduced resource consumption through event-driven actions.

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

Agentic Development helps you rapidly build and refine AI agents by suggesting improvements & variations, accelerating your automation workflows.

Agentica SDK empowers developers to seamlessly integrate and control Parcadei AI agents within their applications for dynamic automation and intelligent interactions.

Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose work", "Mixed/brownfield".

Use this skill when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.

Provides AI agents guidance and assistance for software development workflows.

The Swarm agent orchestrates multiple simple agents to tackle complex tasks efficiently, boosting productivity and automation.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.

Provides AI agents guidance and assistance for software development workflows.