菜单
Create, configure, and monitor AutoDiscovery runs — either via the hosted service (`asta autodiscovery`) or via the local CLI (`asta-autodiscovery`). Use when the user asks about their runs, experiments, discoveries, wants to check status, or wants to start a new discovery run.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Show the user the agent's work on a research project and save iterations on the user's behalf. Scaffold rendering and deploy infrastructure (Quarto today, GitHub Pages, dev container), show the rendered output, save iterations. Doesn't handle research execution (use `asta-flows`).
Install or update the `asta` CLI to the version pinned by this plugin. Invoke whenever `asta` is not on PATH (e.g. `command not found` for `asta`) or when a subcommand/flag appears missing — that signals a stale install needing an update.
Converse with the user to identify the next most productive units of work for the current project, and record them in project.md under Pending Work. Use when the user wants to plan what to work on next, or when there is no project.md yet.
Execute the approved plan in work/<slug>/README.md (status ready), write outputs into work/<slug>/data/, record what happened in the Results section, then hand off to review-work. Use when there is a ready work item.
Write a detailed, executable plan for a single unit of work, then get it approved by review-plan. Updates work/<slug>/README.md with concrete instructions and sets status to ready (or needs-input if review repeatedly rejects).
Critic skill. Given a plan in work/<slug>/README.md (status pending-review), check that the steps are concrete, the tools are appropriate, and the plan is realistic. Write a verdict and feedback back into the README.
| name | autodiscovery |
| description | Create, configure, and monitor AutoDiscovery runs — either via the hosted service (`asta autodiscovery`) or via the local CLI (`asta-autodiscovery`). Use when the user asks about their runs, experiments, discoveries, wants to check status, or wants to start a new discovery run. |
| allowed-tools | Bash(asta autodiscovery *) Bash(asta auth *) Bash(asta-autodiscovery *) Bash(uv tool *) Bash(command -v *) Read(*) Write(*.json) TaskOutput |
AutoDiscovery is an AI-driven scientific discovery platform that runs iterative experiments guided by Bayesian surprise and MCTS optimization.
This skill is a router. Inspect the user's request, pick one workflow, then read its .md file in workflows/ and follow it. Do not execute a workflow from memory — always open the file first.
| Name | Purpose | Detailed instructions |
|---|---|---|
| remote | Use the hosted AutoDiscovery service via asta autodiscovery. Requires Asta auth and consumes credits; runs execute on Asta infrastructure. | workflows/remote.md |
| local | Run AutoDiscovery locally via the asta-autodiscovery CLI. Executes on the user's machine with user-provided API keys for making LLM calls | workflows/local.md |
asta-autodiscovery CLI → local.asta autodiscovery (note the space) subcommand → remote.The two workflows are independent. Do not silently switch between them mid-task.