Spend fewer tokens without lowering the ceiling: a router skill, a measurement protocol, a doctor/bench CLI and a fail-open RTK hook for shell output.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin starlight-neutron in frankxai/claude-skills-library. Commands read from the repo's manifest — today.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
neutron-logMeasure whether a token-saving tool actually saves tokens and keeps answers correct. Use before adopting or recommending RTK, headroom, caveman or any compressor, after changing a hook or instruction file, and when someone quotes a savings percentage. Runs a same-task before and after protocol and r
neutronSpend fewer tokens without lowering the ceiling. Use when a task will take more than about ten tool calls, before spawning subagents or choosing a model for delegated work, when context is filling up, or on "save tokens", "token budget", "cheaper way", "which model", "optimise this prompt", "this is
node "${CLAUDE_PLUGIN_ROOT}/hooks/rtk-rewrite.mjs"
The complete library of Agent Skills — AI agents & orchestration, MCP & SDKs, Oracle & cloud, frontend & animation, engineering workflow, content & brand, and creative production. Skills auto-activate when relevant.
155 skills
Ten agent-architecture skills from claude-skills-library, each with trigger and outcome evals and a no-plugin baseline.
10 skills
GenCreator / FrankX creator OS: five practices for starting work safely, reviewing a diff, writing in a stated voice, running the checks, and a clean handoff.
5 skills · 1 command
Starlight: design one accountable AI department, practise agent evaluation and verify workflow evidence, with a local MCP practice server.
5 skills · 1 MCP server
Starlight: practice with public Academy teaching guides, source-backed challenges and feedback inside your own conversation.
4 skills · 1 MCP server
Appends two or three short follow-up questions after a substantive answer to help users check key facts, probe the reasoning, and notice missing context
19 skills
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
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
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
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
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