Individual skill
agent-fleet-manager
Operate an agentfleet fleet for large-scale periodic information gathering. Use when the user wants to monitor many sources on a schedule (prospect signals, competitor pages, regulatory updates, listings, datasets), act as a worker executing leased batches, review what changed or failed across the fleet, or export fleet activity as OpenTelemetry traces.
SKILL.md
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- Oct 1, 2026
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- Apache-2.0
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.gitignoreasset · 62 bytesCHANGELOG.mddoc · 834 bytesLICENSEasset · 11,358 bytesREADME.mddoc · 8,268 bytesSKILL.mdcore · 3,719 bytesSKILL.mdcore · 3,719 bytesSKILL.mdcore · 3,719 bytesagentfleet/__init__.pyruns · 155 bytesagentfleet/cli.pyruns · 5,975 bytesagentfleet/engine.pyruns · 10,061 bytesagentfleet/jev.pyruns · 8,801 bytesagentfleet/otel.pyruns · 3,838 bytesagentfleet/schema.sqlasset · 2,541 bytesexamples/demo.pyruns · 2,042 bytesexamples/jev_questions.jsonasset · 420 bytesexamples/jev_request.jsonasset · 525 bytestests/test_engine.pyruns · 4,077 bytestests/test_jev.pyruns · 12,697 bytes
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# Operating an agentfleet fleet
One SQLite file holds the whole fleet. All commands take `--db <path>`. Full mechanics are in [README.md](README.md); this file is the operating procedure.
## Register what to watch
```
python -m agentfleet.cli add-source --db fleet.db <name> <route> --cadence <seconds>
```
The route means whatever your worker decides: a URL for the built-in HTTP fetcher, a search query, an API endpoint, a natural-language instruction for an agent worker. Pick cadences honestly — a careers page is an hourly-to-daily source; a statute database is weekly. Do not register sources the user has no right to fetch, and respect robots.txt and rate expectations when the worker is a fetcher you control.
## Run a sweep