CUSTOMER SUPPORT

Mine a Discord Support Channel for Recurring Questions to Document

On a daily schedule, scans a Discord support channel for questions the community keeps asking, deduplicates against existing ReadMe docs.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionFetch messages from Discord channelDiscordDiscord
  • ActionExtract and group questions with OpenAIOpenAI
  • ActionCheck ReadMe for existing coverageReadMeReadMe
  • LogicKeep recurring undocumented questions
  • OutputOpen GitHub docs issuesGitHubGitHub

What it does

Keeps your community support channel from being the only place an answer lives. Each day it reads new messages in a Discord support channel, identifies recurring questions, checks whether ReadMe already documents them, and files a GitHub issue for each undocumented question so it enters the team's normal workflow.

When to use it

Use this when a lot of real support happens in Discord and good answers get buried in scrollback. It converts that tribal knowledge into tracked documentation work instead of letting the same question resurface every week.

How it works

  1. 1A daily schedule fires the run.
  2. 2Pull the last day of messages from the Discord support channel.
  3. 3OpenAI extracts distinct questions and groups repeats, ignoring chit-chat.
  4. 4Search ReadMe for existing coverage of each grouped question.
  5. 5A logic step keeps only questions that recur and have no doc.
  6. 6Open a GitHub issue per gap, labeled docs, with the question and linked Discord messages.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ReadMeAPI docs, changelog, auth.
  4. 4
    Connect GitHubRepos, issues, pull requests, actions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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