cure-agent-budget

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: 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.

Mod: multi-lane dashboard for tri-lane worktrees, branches, live commits, and defect window status. Adds /lanes.

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.

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.

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands

Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.

16 skills · 1 command · 2 agents · 1 MCP server · hooks

Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.

8 skills · 1 agent · hooks