SkillsAdd

yaojingang/yao-geo-skills

yao-chatgpt-crawler

Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report.

First seen Jun 25, 2026

Installation

$ npx skills add yaojingang/yao-geo-skills --skill yao-chatgpt-crawler
View on skills.sh ↗ GitHub repository ↗

Summary

  • Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report.
  • Not for generic crawling, ChatGPT API chat, SEO writing, or one-off answers.

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Also in this package

Other skills from yaojingang/yao-geo-skills · top by installs.

npx skills add yaojingang/yao-geo-skills
yao-geo-tracking 22 yao-geoflow-cli 21 yao-geoflow-template 20 yao-geoflow-design 20 yao-geo-panorama-audit 20 yao-geo-page-audit 20 yao-geo-knowledge-base-builder 20 yao-geo-intent-miner 20 yao-geo-page-blueprint 19 yao-geo-execution-roadmap 19

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 736
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,821 B
  • docs README.md 9,144 B
  • docs SUMMARY.md 327 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 9 installs

SKILL.md

Yao ChatGPT Crawler

Inputs

Questions, repeat count, target entity/type (person/company/product), browser profile, delay preset, optional output directory, and same-type competitors.

Use random 30s-1m by default; support 1-3m and 3-10m when requested.

Workflow

  1. Read references/user-setup-and-usage.md, references/chatgpt-crawl-workflow.md, and references/report-contract.md as needed.
  2. Run node scripts/preflight.mjs --profile <profile> before fresh crawling.
  3. Stage 1: run scripts/chatgptbatchcrawl.mjs with questions, repeat, profile, target entity/type, interval preset, and output dir.
  4. Stage 2: run scripts/analyzechatgptresults.py. Follow the competitor-review rules in the workflow reference; a target-only alias file never disables inference.
  5. Return crawl JSON, summary, structured Markdown/Excel, HTML report, optional semantic-review cache, and failed logs.

Honest Boundaries

  • Reuses local ChatGPT web automation; does not bypass login, bot checks, or hidden data.
  • Visible ChatGPT citations bound source analysis; probability metrics are repeated-sample estimates.
  • Inferred competitors are heuristic. Review aliases before external use; use --semantic-review required when formal-report confidence demands it.
  • The entity table is an audit surface; only rows entering the competitor matrix affect metrics.
  • Preserve raw answers, reference titles, URLs, and logs so every conclusion can be audited.