Synthesize fork-cohort, release, and contributor data into a weekly fleet-state digest.
npx skills add https://github.com/anajuliabit/aeon --skill fleet-state
Please help me install this Agent Skill. Skill: fleet-state Source: https://github.com/anajuliabit/aeon/tree/main/skills/fleet-state Command: npx skills add https://github.com/anajuliabit/aeon --skill fleet-state
Fleet operators waste time stitching together multiple weekly agent outputs to understand how the overall fork “fleet” is changing (health buckets, releases, and the current contributor spotlight).
Run fleet-state with no extra var to generate a weekly digest and notification from the latest fork-cohort, fork-release, and contributor-spotlight data for the parent repo.
High-intent search queries and answers about installing and using this skill.
Automate weekly status reporting by synthesizing existing fork-cohort bucket totals, release activity, and contributor spotlights into a single digest with week-over-week deltas. The process reads memory/topics and latest articles to generate an operator-ready overview without manual stitching.
A fleet state digest is a weekly synthesis of fork-cohort health buckets, release activity, and contributor spotlights. You need it when operators require an at-a-glance view with consistent week-over-week deltas instead of stitching together multiple agent outputs manually.
Generate a weekly digest without re-querying by reading authoritative inputs from existing memory/topics and latest articles. The process composes fork release activity and contributor spotlight insights from these sources, computing week-over-week deltas and outputting articles/fleet-state.md files.
Yes, the weekly digest supports graceful degradation by producing partial output when one or two source state or artifact files are missing. This avoids hard failures when upstream skills haven't run, ensuring you still get a usable fleet overview.
The best way to track week-over-week trend deltas is synthesizing existing fork-cohort bucket totals and release activity into a single state-of-the-fleet narrative. This approach computes deltas automatically and gates notifications based on verdict and source availability.
The main limitation is that these digests do not perform new data collection, relying entirely on existing memory/topics and latest articles as sources of truth. If upstream skills haven't populated these inputs, the digest can only provide partial output through graceful degradation.
swarm-ai-researchGenerate a weekly recognition article for a standout fork operator from fork-cohort data.
aaronjmarsSynthesize fleet cohort, release, and contributor outputs into a weekly digest with WoW deltas.
swarm-ai-researchAggregate forks, upstream PRs, reviews, and fork activity into a ranked weekly leaderboard.
anajuliabitList active GitHub forks and compare each to upstream for divergence.
