Starlight: design one accountable AI department, practise agent evaluation and verify workflow evidence, with a local MCP practice server.
Plugin starlight-department-lab from marketplace claude-skills-library in frankxai/claude-skills-library. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
design-ai-departmentTriage and design one accountable AI department from a recurring workflow, including when not to automate, the smallest viable topology, human authority, evidence, evaluations, recovery, and portable package projections. Use when asked to design an AI team, agent department, governed workflow, multi
learn-starlight-missionComplete or facilitate a versioned Starlight Academy mission for a human or sponsored agent, producing the required artifact and an honest evidence packet without claiming certification or runtime authority.
practice-agent-evaluationGuides humans and agents through synthetic workflow evaluation, preserving an unaided attempt, checking sources and authority, revising judgments, and testing transfer. Use for agent outcomes, approval scope, or retrieved-source instructions.
test-workflow-evidenceBuild and revise deterministic acceptance checks for one synthetic agent workflow using public fixtures, false acceptances, false rejections and explicit unknown outcomes. Use after evaluation practice when a learner wants executable tests, an inspectable test suite or a regression case.
verify-ai-department-packageIndependently audit an AI department packet or installable package for workflow fit, authority, topology simplicity, producer-verifier separation, evidence, evaluations, recovery, security, portability, and honest release claims. Use before publishing, installing, admitting, deploying, or materially
starlight-department-labruns: node ${CLAUDE_PLUGIN_ROOT}/mcp/server.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: practice with public Academy teaching guides, source-backed challenges and feedback inside your own conversation.
4 skills · 1 MCP server
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.
2 skills · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · 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
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
8 skills · 1 MCP server
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.