research-tracker

You can track autonomous research agents across multiple projects by using a SQLite-based ledger that records state, progress, and coordination events. This skill provides an append-only datastore to monitor background work and manage multi-step investigations.

Coordinating long-running research sub-agents is best handled through instruction queues and a state-tracking ledger. This approach manages agent handoffs and monitors background work using a SQLite datastore.

To monitor the progress of multi-step investigations, you can use a CLI to log steps, signal liveliness with heartbeats, and verify status. This records progress in a SQLite-based datastore for auditing.

Yes, you can use SQLite for append-only state tracking of background workflows. This skill uses a SQLite-based ledger to track research progress, log events, and coordinate autonomous agents.

No external dependencies are required to manage research agent orchestration with this skill. It relies on a YAML frontmatter defining name and description, plus operational instructions loaded into context with optional directories for extended functionality.