phase-research

Solid

Run Phase 1 Research only — keyword research, SERP analysis, competitor analysis, content gap analysis, surface targeting. Use when user wants research-only output without writing an article. Triggered by /seo-blog research, "research this keyword", "what's the SERP for X", "competitor analysis for".

AI & Automation 43 stars 13 forks Updated 3 days ago Apache-2.0

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Quality Score: 86/100

Stars 20%
55
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Phase Research Orchestrator Run 6 research sub-skills in sequence, accumulate findings into `research.json`. Stage 6 (community-research) is ALWAYS-ON. ## Inputs - `state.json` with `state.brief.primary_keyword` required - Optional `state.project_slug` for project-aware research (cache reuse, competitor exclusion) ## Stages ``` 1. keyword-research → Tavily + Crossref + AI-search probe + SerpApi autocomplete + related_questions (true PAA) Output: primary keyword expansion + LSI + intent + PAA 2. serp-analysis → 13 SERP features detection (Google + Bing + AIO) SerpApi = REAL organic positions + featured snippet + People-Also-Ask + AI Overview (structured, not generic search) Output: serp_features[], top-10 URLs 3. competitor-analysis → top-5 competitor deep extract (5-tier waterfall) Output: competitor_titles[] with content_gap 4. content-gap-analysis → 5 frameworks: SEO/AI/FAQ/Format/Authority gaps Output: content_gaps[] with opportunity_score 5. surface-targeting → User selects 1-5 surfaces (owned/serp/aio/chatgpt/pplx/claude/gemini/reddit/youtube) Output: brief.target_surfaces[] updated 6. community-research → ALWAYS-ON Reddit + X pass (cost ≈ 0 via the Tavily pool). ...

Details

Author
XuanRanL
Repository
XuanRanL/loamwright-SEO-Skill
Created
2 weeks ago
Last Updated
3 days ago
Language
Python
License
Apache-2.0

Integrates with

OpenAI · AI WordPress · CMS

Bundled in these plugins

xuanran-seo-blog-writer

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