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AI & LLM Engineering · Slack · For data scientists
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when a Token Meter task will produce Slack, GitHub, release, contributor, or user-facing status communication. | splunk/ | 116 | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 2 | A skill your agent uses when writing messages in async channels (Slack, GitHub issues, email threads) where the reader may not have context and cannot ask follow-up questions immediately. | aiming-lab/ | 3.5k | — | ~224 | Automated safety check: Pass | MIT | 4 mo ago |
| 3 | Default guidance for building AI agents. An agent skill from vercel/vercel-plugin. | vercel/ | 301 | — | ~1.4k | Automated safety check: Pass | Unknown | yesterday |
| 4 | The scheduled model sweep. An agent skill from Kiln-AI/Kiln. | Kiln-AI/ | 5.2k | — | ~3.6k | Automated safety check: Notes | Unknown | 2 days ago |
| 5 | A skill your agent uses when a Token Meter Slack or GitHub request needs contextual intake, clarification, triage, acknowledgment, or closure. | splunk/ | 116 | — | ~1.4k | Automated safety check: Warn | MIT | 2 days ago |
| 6 | Show the current user's open PRs across every pod registered under .github/teams/, grouped by merge readiness, with copy-paste Slack ping messages routed to the owning pod's team. | tetherto/ | 685 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. | PostHog/ | 40k | — | ~7.6k | Automated safety check: Pass | Unknown | yesterday |
| 8 | Write, edit, and adapt PostHog Signals scouts: scheduled agents that scan a project and report findings. | PostHog/ | 40k | — | ~11k | Automated safety check: Pass | Unknown | yesterday |