Setup, configuration, and validation for the vibe environment
0 on GitHubby Databricks Field Engineeringv1.1.5updated 7 months agosetup
/
Plugin fe-vibe-setup from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (7)
configure-vibe
Configure, setup, and validate the vibe environment including dependencies, directories, and permissions
dupe-check
Check whether a plugin or skill idea already exists in the vibe marketplace. Use this before building a new plugin or skill to avoid duplicating existing work. Triggers on "dupe check", "duplicate check", "does a skill exist for", "is there already a plugin for", "check if this exists", "before I bu
mcp-error-handling
Handle MCP authentication and connection errors instead of silently skipping them
validate-mcp-access
Validate MCP connection access for Slack, Glean, JIRA, and Confluence in the logfood workspace
vibe-publish-plugin
Publish skills, hooks, MCP servers, or plugins to the vibe marketplace. Validates structure, creates PRs, and handles permissions.
vibe-report-issue
Report an issue with vibe by summarizing the current conversation, describing the problem, and filing a GitHub issue in the vibe repo. Use when something went wrong, a skill didn't invoke correctly, or results were unexpected.
vibe-update
Update vibe and its plugins to the latest version
Subagents (1)
vibe-profile
Discover and build a comprehensive user profile including personal info, accounts, use cases, team members, and Slack channels. Writes profile to ~/.vibe/profile.
Common Field Engineering workflows for Aha! Ideas, sizing, documentation, security, support, troubleshooting, TODO management, account transitions, RFP responses, QBR decks, humanizer, SA daily/weekly planning, and showcases
Autonomous TDD pipeline for building features end-to-end. Chains PRD → gate tests → implementation → live validation → remediation in a self-correcting loop. Uses headless Claude sessions via the relentless CLI for multi-phase execution. Includes autoresearch for autonomous skill optimization.
Databricks AI development toolkit (for FE and customers) with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
Deploy, debug, and monitor applications on Render: skills for blueprints, deploys and troubleshooting, a Render assistant agent, deploy/status commands, a render.yaml validation hook, and the Render MCP connector preconfigured over OAuth.
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.