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Generate a summary of recent cluster activity for handoffs, standups, or status updates. Use when the user asks for a status update, what happened recently, needs a summary for a handoff, or says "catch me up".
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Based on SOC occupation classification
Covers GitHub conventions for pull requests, issues, and comments including linking, language style, formatting, and callout syntax. Use when creating PRs, writing issues, or posting comments on Datum Cloud repositories.
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Create a new GitHub release. Verifies CI is green on the release commit and refreshes the third-party NOTICE file before tagging, determines the next version from the latest tag, summarizes merged PRs since the last release, drafts release notes in the established style, and publishes via gh release create. Works for any datum-cloud service repository.
Scan a project repository for strict AGPL-3.0 license compliance across Go, Rust, and JavaScript/React codebases. Use this skill whenever the user asks to check, audit, verify, or enforce AGPL license compliance on a project, repo, or codebase. Triggers on phrases like "check agpl compliance", "audit license headers", "is this project agpl compliant", "scan for license headers", "check my license files", "agpl audit", or any request involving ensuring a project is properly licensed under AGPL. Always use this skill — don't wing AGPL compliance checks from general knowledge.
Covers producing weekly operational reports for the Datum AI Edge. Use when asked for an ops review, traffic report, latency analysis, provisioning report, or edge performance summary. Guides metric queries, anomaly detection, and publishing to datum-cloud/engineering.
| name | activity-summary |
| description | Generate a summary of recent cluster activity for handoffs, standups, or status updates. Use when the user asks for a status update, what happened recently, needs a summary for a handoff, or says "catch me up". |
| model | haiku |
Generate a concise activity summary.
Call summarize_recent_activity for the requested time range.
Default to "last 24 hours" for handoffs/standups, "last 1 hour" for quick checks.
Call get_activity_timeline with an appropriate bucket size
(e.g., "1h" for 24h range, "5m" for 1h range) to show activity distribution.
If the user wants to know if current activity is unusual, call
compare_activity_periods comparing the current window to the same
duration immediately before.
Format output as a concise status report:
$ARGUMENTS
