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weft-deploy

SkillCloud & infra

Lets your agent deploy the Weft program to a named cloud target and report the active version and routes.

Connect your AIUse it in a pipeline

Then ask your AI: use the weft-deploy skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this skill

COMMAND, not reference: Deploy the program to a cloud install, through the deployer. Run this when the user asks for this step by name, naming the target and optionally what to do. The `weft-` reference skills beside it are things you read; this is a procedure you carry out.

What this skill tells your AI

The instructions your AI receives, as published by weavemindai/weft in tangle/cline/.cline/skills/weft-deploy/SKILL.md and read by Ahel’s review.

Act on the cloud install named in the arguments: a deploy, unless the arguments ask for a rollback or for setting up CI.

  1. Read weft-deploying.
  2. The target is the first argument. If there is none, list the targets with weft target list and ask the user which one; never pick one yourself.
  3. Load the deployer skill and do its job with the target and what to do, holding to its scope.
  4. Relay its report: the version active on the target, its route addresses, and anything the user must do by hand, as the exact commands.

Signals

GitHub stars
2k
Forks
218
Last commit
Oct 2026
Advanced
Item type
skill
Key
weft-deploy
Source
github.com/weavemindai/weft

github.com/weavemindai/weft

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