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By surebeli
Thin plugin layer over the llm-hopper file-based protocol. Dispatches task-typed work to vendor CLI subprocesses (codex, kimi, opencode, copilot, agy). No harness reaction core; vendor CLIs bring their own runtime. State lives in plain markdown under .hopper/. See https://github.com/surebeli/hopper-plugin.
npx claudepluginhub surebeli/hopper-pluginDispatch a task from .hopper/queue.md to its preferred vendor CLI via hopper-dispatch. Supports --background for long-running tasks (spec §14).
Show cached vendor models (from `--probe`). Use this when you don't remember a specific model name before dispatching.
Refresh the per-machine vendor capability cache by live-querying each vendor CLI. Run when models change or cache shows `[STALE]`.
Print the completed result of a hopper-dispatched task in the host session (vendor verdict + log tail).
Plugin host-lifecycle smoke test. Prints hopper-dispatch readiness banner. Verifies T-PLUGIN-00 Prong 1.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Comprehensive status line with context usage, API rate limits, and cost tracking
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Refactor code following best practices and design patterns
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
SpecTeam: AI-native spec review and decision alignment for product and engineering teams.
A self-evolving knowledge system for AI-paired builders. Built on Karpathy's LLM-Wiki principle, the CORE is a self-closing ingest/synthesis loop + auto-dreaming that resurfaces frozen pages when their relevance returns. Phase 1 reach (current): AI-paired engineering — compile project business semantics so agents read project conventions before they write code. Phase 2 (designed): team spec authoring + dispute resolution. Builders inherit a kata, adapt it to their project, transcend the form. 13 skills (init, import, ingest, search, graph, tier, digest, query, lint, config, dream, watch, sync). Multi-CLI session ingest in flight (v1.11).
Karpathy-style persistent markdown knowledge base — custom frontmatter dimensions, three-tier memory aging (active/archived/frozen), external plugin fallback (deepwiki-cli, web search). 10 skills: init, import, ingest, search, graph, tier, digest, query, lint.
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