slack-helper
Skill40 starsChanged 13 days agoNo licenceView on GitHub
Run Shaw's embedded client Slack channels — the async support surface of the Fractional AI Department retainer. Sweep channels for new questions, unpack forwarded messages the connector strips to nothing, draft answers and outbound posts in Shaw's voice, and get every Q&A and pain point logged (the databases are owned by `convo-mining`). Use whenever Shaw mentions Slack at all, even in passing: \"anything happening in slack\", \"any new questions\", \"what did X ask\", \"read that thread\", \"can you read the forwarded message\", \"draft a reply to this\", \"log this Q&A\", \"who's asked what this week\". Also fires for outbound posts to a client channel (an intro, an announcement, a heads-up to the whole org), whenever a client question needs an answer or a record, and whenever a Slack tool call (slack_read_channel, slack_search_public_and_private, slack_read_thread, slack_send_message_draft) is the next thing you're about to do. Do NOT use for LinkedIn, email, or internal chat unrelated to client support.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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