autodiscovery

AutoDiscovery

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.

Workflows

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

Routing

1. Honor explicit requests

• "local", "on my machine", "offline", "run it myself", or any reference to the asta-autodiscovery CLI → local.
• "remote", "hosted", "cloud", "Asta service", "my runs", "credits", or any reference to the asta autodiscovery (note the space) subcommand → remote.

2. Use signals when the request is ambiguous

• Past runs are stored in a local directory for local runs, or on the remote server for remote runs
• If the user is starting fresh and has not indicated a preference, ask which workflow they want before proceeding. Mention the tradeoff: remote uses Asta credentials and rate limits; local runs with the user's hardware and credentials.

3. No chaining

The two workflows are independent. Do not silently switch between them mid-task.