How to create and run agent actions. Actions are the single source of truth for app operations — the agent calls them as tools and…
Agent skill for agent - invoke with $agent-agent
Analytics your AI agent can actually use.
Automates multi-agent peer review workflows with configurable reviewer roles, audit trails, and stop-hook gating before finalizing tasks.
Generates agent-browser command playbooks for each Daedalus PRD user story (enrich, extract, observe, scout, agent, billing) to guide UI…
Best practices for using agent-browser with Kernel cloud browsers.
Builds, edit or validate Agent Skill through conversational discovery.
Interact with Channel Talk using extracted desktop app or browser credentials - read chats, send messages, search messages, manage groups
Generate a documentation pack for a .NET repository so AI coding agents can reason about it — AGENTS.md, architecture, ADRs, data model…
Create, repair, compact, or audit repository agent context using minimum viable context, progressive disclosure, canonical ownership…
Halts agent drift, restates user objectives, and applies minimal safe corrections to keep AI workflows on track.
Create production-grade agent .md files aligned with the Anthropic 2026
Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools.
Use when rendering multi-agent debate, discussion, or review output in the terminal.
Multi-agent orchestration enforcement for /team command.
Testing and benchmarking LLM agents including behavioral testing,
Designs and runs agent evaluation frameworks to measure and improve performance.
Agent eXperience Interface (AXI) — ergonomic standards for building CLI tools that agents use via shell execution.
Coordinates multi-agent workflows, sub-agent task routing, and collaborator configurations within your project.
Meta-skill that orchestrates the full agent creation pipeline.