tonone
claudeFull company team — 140 agents, 15 teams. All agents and skills in one install.
200 skills · 140 agents · hooks
AI Operations Team — 9 agents: Deploy, Eval, Trace, Guard, Budget, Token, Prompt, Embed, Rank
Plugin ai-ops-team from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Full company team — 140 agents, 15 teams. All agents and skills in one install.
200 skills · 140 agents · hooks
Install all 27 Engineering Team + Product Team agents at once
173 skills · 27 agents · hooks
Install all 15 Engineering Team agents at once
90 skills · 15 agents · hooks
Engineering team for Claude Code: Apex (engineering lead) plus 14 specialists and 85 skills. The core of tonone, sized for the Anthropic plugin directory.
85 skills · 15 agents
Install all 12 Product Team agents at once
83 skills · 12 agents · hooks
Marketing team — 9 agents: Attrib, Buzz, Drip, Ink, Pitch, Reach, Stack, Stage, Vox
42 skills · 9 agents
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
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.
2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
Recommended: all published HyperFrames skills in one versioned bundle. Create and render videos from HTML: the contract, film, captions, overlays, motion and look references, the CLI, the registry, media, Figma, slideshows and Remotion ports.
22 skills
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
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