dashclaw-skills

Governance behavior for AI agents governed by DashClaw. Teaches the governance protocol: when to call guard (risk thresholds), how to interpret decisions (allow/warn/block/require_approval), when to record actions, how to wait for approvals, and session lifecycle management. Loads org-specific policies and capabilities from MCP resources at session start. Use with @dashclaw/mcp-server. Trigger on: governed agent, dashclaw governance, guard policy, approval wait, governed capability, risk threshold, action recording, session lifecycle.

DashClaw platform expert for integration, troubleshooting, and governance. Snapshot-based — prefer live queries via `python -m livingcode query`, or `GET {baseUrl}/api/doctor` when Python/livingcode/the repo are unavailable.

Human-in-the-loop approval workflows for governed agent actions

Set up a DashClaw instance, install the CLI tool, and configure Claude Code hooks

Debug DashClaw errors, signal issues, and misconfigurations