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Channel Message Flows

  • 71 installs
  • 385k repo stars
  • Updated August 3, 2026
  • steipete/clawdis

Helps with ai & agent building tasks during AI-assisted development.

About

channel-message-flows is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • channel-message-flows
  • AI & Agent Building
  • AI-coding skill

Channel Message Flows by the numbers

  • 71 all-time installs (skills.sh)
  • +5 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #5,591 of 16,556 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/steipete/clawdis --skill channel-message-flows

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Listed on Skillselion
Installs71
repo stars385k
Last updatedAugust 3, 2026
Repositorysteipete/clawdis

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Channel Message Flows

Use this from the OpenClaw repo root to run the QA Lab evidence for Telegram draft/final delivery sequencing. This skill no longer launches a standalone script; the behavior is owned by the QA scenario and its Vitest-backed e2e test.

QA Scenario

Run the scenario through QA Lab:

pnpm openclaw qa suite --scenario channel-message-flows

Run the focused e2e test directly in a Codex worktree:

node scripts/run-vitest.mjs extensions/telegram/src/channel-message-flows.qa.e2e.test.ts

References

  • qa/scenarios/channels/channel-message-flows.yaml
  • extensions/telegram/src/channel-message-flows.qa.e2e.test.ts
  • extensions/telegram/src/test-support/channel-message-flows.ts

The scenario covers channels.streaming as primary evidence and records secondary coverage for thread preservation, delivery ordering, and reasoning preview visibility.

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