cure-lane-board

Complete product engineering skill library — 104 skills (domain-organized), 41 agents (engineering, product, marketing, business, data, security), 4 personas (cross-domain engagement archetypes), 11 rules, 9 output styles, multi-layer hooks with agent auto-triggering, bundled stdlib Python tooling, LSP server configs (MCP is an opt-in template, not shipped). Standards for Android, iOS, Web, Firebase, Python, Go, Rust, Docker, Terraform, and cloud infrastructure.

104 skills · 41 agents · hooks · LSP

Opt-in multi-vendor orchestration: Claude architect, Codex implementation and correctness lanes (codex exec), Antigravity system-review lane (agy) in read-only worktrees, and a fresh-context advisor. Uses existing ChatGPT and Google logins; independent of cure-product-engineering.

1 skill · 4 agents · hooks

Mod: caps how many subagents one session runs at once, tracked by agent id from spawn to completion; optional research routing to a model alias, off by default. Adds /agents-budget.

Mod: prompt cache time left, hit rate and misses above the prompt; says what a cold next message re-caches. Adds /cache.

Mod: checks file:line citations in Claude's answers against the session's repositories and toasts the stale ones; never edits the answer. Adds /cite-check.

Mod: draws the images you sent above the prompt until the turn that carried them ends.

Security default for organizations: seated outermost, it keeps the organization's classic hooks, prompt content, settings, tool policy and pinned environment out of reach of the plugins a person installs, and adds no policy of its own; one managed option, allowManagedModsOnly, limits mods to the organization's.

AI-powered codebase understanding — analyze, visualize, and explain any project

9 skills · 10 agents · hooks

Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data

9 skills · 9 commands · 11 agents · 1 MCP server

Claude Code mod: watch Headroom snip tokens off every request, with an animated band, a /headroom log and a running total.

This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.

37 skills

Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development

9 skills · 1 command · 8 agents