DashClaw

The single command that gets a DashClaw change ON MAIN AND LIVE — it resolves everything blocking production, never defers, and never hands back a checklist. Lands feature branches on main (rebase, gate, merge, push so Vercel deploys), bumps the unified platform+SDK version, and realigns every *description* of the system with the live code: README, PROJECT_DETAILS, SDK READMEs, /docs, generated artifacts (API inventory, OpenAPI, download bundles), plugins/skills/hooks/MCP, marketing/landing pages, the drift-prone hardcoded counts (routes, SDK methods, MCP tools/resources, guard policies) and stale freshness date-stamps. The one step it can't finish itself is the credential-gated SDK publish (`npm run release:sdks`). Use whenever the user wants to ship, land, or finish a change — get it on main, make it live, cut a release, bump the version, refresh all the docs, make everything accurate, fix wrong counts or old dates. Not for building or debugging the feature itself.

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.

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

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.

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

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"

Turn a bug symptom into a structured, reproducible bug report — summary, environment, exact repro steps, actual vs expected, and evidence (logs, error text, failing route/test) — and then optionally scaffold a failing regression test that pins it. Use this the moment a bug, defect, crash, 500, wrong count, broken page, or "this used to work" is reported and you're about to start fixing it, even if the user just pastes an error or says "X is broken". A structured report makes a far better fix prompt than a raw symptom and becomes the regression test that stops the bug coming back. Trigger on: repro, reproduce, bug report, file a bug, "X is broken", "getting a 500", "why is this failing", regression test for a bug, write up this bug.

Compile the week's maintainer-log entries + git history into ONE pasteable Reddit-ready DashClaw update. Drafts only — publishing stays human (MAINTAINER.md §4 spirit). Use when Wes asks for the weekly update, a Reddit digest, or "what happened this week".

Debug DashClaw errors, signal issues, and misconfigurations

Make focused changes to API routes with verification.

Contribute to the DashClaw codebase — architecture, scaffolding, tests, CI

Set up compliance exports, drift detection, evaluations, scoring, and learning analytics

Create and test DashClaw guard policies for agent governance

Integrate DashClaw SDK into any agent using the 4-step governance loop

Register any agent (including this one) as a governed agent on a DashClaw instance