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auto-content-blog

Full end-to-end SEO + GEO content creation pipeline for crypto/Web3 teams. Trigger this skill when the user wants to: write a blog post or article, research keywords, generate a content brief or outline, mine community comments for UGC insights, optimize content for SEO or AI search engines (GEO), score or audit an existing article, or check if writing sounds AI-generated. Also trigger automatically at the start of every new session to scan X for trending topics relevant to the user's project spec — propose hot keywords before the user asks. Accepts a project spec .md file as primary input. Also works with plain keyword or topic. Run all stages in sequence when starting from scratch. Enter mid-pipeline if user provides an existing draft or only asks for one stage.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kaokray/cook-a-skill-content-blog-social
Or

Auto Content blog

End-to-end pipeline: trending topic → keyword research → brief → UGC enrichment → human-style draft → visual & link enrichment → SEO + GEO optimization → scored QA report.

Pipeline

[0]   X TREND MONITOR   → auto-run on session start, propose hot keywords
[1]   KEYWORD RESEARCH  → scored, data-backed selection
[2]   CONTENT BRIEF     → outline + keyword map + UGC insertion points
[3]   UGC ENRICHMENT    → mine comments → ready-to-paste blog sections
[4]   DRAFT             → human-style, data-backed, zero AI patterns
[4.5] VISUAL & LINKS    → data charts (matplotlib) + inline hyperlinks on every citation
[5]   SEO + GEO         → on-page checklist + AI-bot-friendly formatting
[6]   QA REPORT         → rubric score + publish verdict

Enter at any stage. Run all stages from scratch. Start at Stage 5 for existing drafts.

Quick commands:

  • run full pipeline → Stage 0 → Stage 6
  • start from stage [N] → enter at any stage
  • score my draft → Stage 5 → Stage 6
  • enrich my draft → Stage 4.5 only (charts + links on existing draft)

Reference files (read when detail is needed):

  • references/scoring-rubrics.md — all scoring tables (trend, keyword, UGC, SEO, GEO)
  • references/ai-patterns-blacklist.md — full list of AI phrases to never write
  • references/output-templates.md — exact output format for each stage
  • references/example-run.md — real example: keyword "what is liquid staking"

Inputs

Required: project_spec (.md) + keyword_or_topic Optional: ugc_urls (skip Stage 3 if absent), blog_draft, language (default: English), word_count (default: 1500–2000), tone (default: auto-detect from spec)

If project_spec is missing: stop and ask for it before starting.


Stage 0 — X Trend Monitor

Run automatically at the start of every new session, before the user says anything.

  1. Parse project_spec.md → extract: domain/niche, audience, product themes, competitor names
  2. Run web searches (fill in values from spec):
    • site:x.com [domain keyword] -filter:replies
    • [domain keyword] trending twitter 2025
    • [domain keyword] discussion OR debate twitter
    • [competitor name] twitter sentiment 2025
    • crypto twitter trending today
    • [domain keyword] CT crypto twitter discussion
  3. Score each topic → see references/scoring-rubrics.md Stage 0
  4. Keep top 3. Output Trend Alert before any user message → see references/output-templates.md Stage 0

Fallback if web search off: skip, say "Stage 0 unavailable. Provide a keyword to start Stage 1." Fallback if no trends found: list 3 evergreen topics from spec context.


Stage 1 — Keyword Research

Metadata

Author@kaokray
Stars1776
Views1
Updated2026-03-02
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kaokray-cook-a-skill-content-blog-social": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.