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Make focused changes to API routes with verification.
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Based on SOC occupation classification
| name | c--projects-dashclaw-route-changes |
| description | Make focused changes to API routes with verification. |
Use when an HTTP route or server module needs to be added or changed.
C:\Projects\DashClaw\app\api-keys\page.jsC:\Projects\DashClaw\appC:\Projects\DashClaw\app\lib\sessionViewer.mjsC:\Projects\DashClaw\app\api\mcp\route.jsC:\Projects\DashClaw\middleware.jsGenerated by AgentLens from session acec7ebd-b7d3-4e21-8582-f9617e66b654 at 2026-05-12T21:42:09.652Z.
Skill candidate distilled from 3 similar prior session(s). Review and edit before relying on it.
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"