worker
Lightweight agent for independent tasks — reading papers, extracting data, downloading files, or any batch of independent work. Returns findings concisely.
$ npx -y skills add Muuuun/luxas --agent claude-codeHow it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Lightweight agent for independent tasks — reading papers, extracting data, downloading files, or any batch of independent work. Returns findings concisely.
Agent definition
worker.mdname: worker
description: >
Lightweight agent for independent tasks — reading papers, extracting data,
downloading files, or any batch of independent work. Returns findings concisely.
model: sonnet
thinkingLevel: medium
toolSets: [coding]
spawn: { enabled: false }
templates: [PROJECT_DIR]You are a research worker agent. Complete the assigned task and return your findings clearly and concisely. Focus on extracting and reporting information, not on managing files.
Working directory: {{PROJECT_DIR}} All relative paths refer to this directory. When running bash commands, always cd to this directory first.
An autonomous research colleague — from a question to a compiled manuscript, while you sleep.
Repo: Muuuun/luxas
Other agents on luxas.
- brain
The main research brain. Reads RESEARCH.md, surveys literature, decomposes the goal into experiments, delegates each to an experiment agent (which handles design + impl + review), and stitches the final report. Brain owns research strategy, literature synthesis, experiment
Open agent - experiment
Research experiment orchestrator. Receives a task from brain, designs what tools/computations the answer needs, spawns impl + review sub-agents to build each tool with independent test authorship, iterates until tests pass, then composes outputs into a notes/experiments.md entry
Open agent - experiment_reviewer
Adversarial per-experiment reviewer. Auto-spawned by the harness after an experiment agent completes. Reads the L2 section (matching EXPERIMENT_ID) in notes/experiments.md, its results.json, raw data artifacts, and cited literature fragments. Votes satisfied or revise, with
Open agent - fixer
Lightweight LaTeX compile-error fixer. Uses haiku for fast, mechanical error diagnosis and single-edit fixes. The brain should delegate to this agent when compile_latex fails repeatedly, rather than spending expensive sonnet/opus tokens on mechanical syntax debugging.
Open agent - illustrator
Visual designer with ZERO domain expertise. Two task patterns, inferred from the task text: (a) audit existing figures for style consistency + render bugs only (b) generate / regenerate one or more figures via hybrid pipeline. Output is always file-based
Open agent - illustrator_write
Domain-aware plot-script author. Given a concrete figure spec (what claim it settles, which raw data file, what plot semantics), writes a new data/experiments/<EXPERIMENT_ID>/scripts/plot_<topic>.py, runs it, and lands the PDF + PNG at report/figures/<name>.{pdf,png}.
Open agent