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Found 5,666 Skills
Inter-agent communication patterns including message passing, shared memory, blackboard systems, and event-driven architectures for LLM agentsUse when "agent communication, message passing, inter-agent, blackboard, agent events, multi-agent, communication, message-passing, events, coordination" mentioned.
Analyze coding agent session transcripts to improve existing skills or create new ones. Use when asked to improve a skill based on a session, or extract a new skill from session history.
Writing conventions for scannable, token-efficient skills and prompts. Use when creating or reviewing SKILL.md files, AGENTS.md files, or any markdown-based agent instruction documents.
Synchronize work between Antigravity and Claude Code agents
Copilot agent that assists with project planning, scheduling, risk management, and progress tracking for software development projects Trigger terms: project management, project plan, WBS, Gantt chart, risk management, sprint planning, milestone tracking, project timeline, resource allocation, stakeholder management Use when: User requests involve project manager tasks.
Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.
Resolve conflicts, negotiate agreements, and mediate disputes between AI agents and humans using Servanda. Use this skill when you need to reach consensus with another party, settle a disagreement, establish shared rules, or create binding agreements through AI-mediated negotiation.
Re-inject Synapse A2A initial instructions after context has been cleared. Use this skill when the agent has lost its identity, A2A communication protocol, or configuration after /clear or context reset. Triggered by /synapse-reinst command.
Epistemic verification framework for AI-generated assertions. Requires evidence before acting on LLM claims about code behavior, system state, API responses, or factual statements. Use when an AI agent makes claims that will drive decisions, before acting on research results, or when an agent asserts something is true without showing evidence.
Agent Review workflows and best practices for catching bugs before merging. Use for reviewing agent-generated code and local changes.
Build production-ready AI agents using Google's Agent Development Kit with AI assistant integration, React patterns, multi-agent orchestration, and comprehensive tool libraries. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Execute proactive auto-loading: automatically detects and loads agents.md files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.