agentsclimarketplace

Autoxeo customer diagnostician

Skill stella-dust/autoxeo-marketplace/plugins/autoxeo-creator/skills/autoxeo-customer-diagnostician

Diagnose user intent, GEO/AEO task boundary, AI platform targets, assets, execution safety, and service opportunity before creating a custom AutoXEO skill or plugin.From its SKILL.md

Install
npx -y skills add stella-dust/autoxeo-marketplace --skill autoxeo-customer-diagnostician

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.1 KB, 216 tokens by cl100k_base, as published. Nobody here has run it

AutoXEO Customer Diagnostician

Use this skill before generating a new autoxeo-xxx skill, plugin, pack, or repo.

Questions

  1. What GEO/AEO job does the user need the agent to perform?
  2. Which AI platforms matter most?
  3. Which content assets can they change?
  4. Which sources can be collected or imported?
  5. Which claims need human review?
  6. Should this be a single skill, composite plugin, pack, template, or full marketplace repo?
  7. What validation, publishing, or service handoff is expected?

China Market Defaults

  • Primary platform: Doubao.
  • Secondary platforms: Qwen, Yuanbao, DeepSeek.
  • Content assets: Chinese website, docs, blog, case studies, FAQ, AI-readable Markdown, plugin listing.

Outputs

  • customer_segment
  • job_to_be_done
  • asset_model
  • platform_targets
  • recommended_asset_type
  • plugin_boundary
  • pack_candidates
  • service_handoff

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.