content-brief
Skill0 starsChanged 2 months agoMITView on GitHub
Writer-ready SEO brief: primary entity, keywords, fan-out sub-queries, tagged outline, required real material, meta drafts, links, schema, quality targets.
19 other projects use a version of this.
Adopted by
Most recently taken up by
- agiea-brain/agency-skillstheir own version, first seen Nov 8, 2026
- winsley-jeune/harborrank-skillstheir own version, first seen Nov 1, 2026
- akii-technologies-ltd/akii-seo-ai-search-optimizertheir own version, first seen Nov 1, 2026
- Ryze-AI-Adgent/open-seo-mcp-skillstheir own version, first seen Oct 27, 2026
- tidycatc132/claude-skillstheir own version, first seen Oct 25, 2026
- langchain-ai/design-agenttheir own version, first seen Oct 25, 2026
Used with
Projects with it also use competitor-gap, serp-analysis and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
DarynaRodriguezSkillcompetitor-gap
Finds the terms rivals rank for and the site does not, confirms who the real organic competitors are, and returns a gap table split into terms to win, terms underperforming, and terms to concede.
Also in 4 projects that use this
opencueSkillserp-analysis
Use when the user asks to "analyze SERPs"; reviews ranking factors, features, intent, AI Overviews, and snippets. SERP分析/搜索结果
Also in 3 projects that use this
indranilbanerjeeSkillclient-proposal
Draft a client proposal or RFP response: scope, deliverables, KPIs, pricing tiers. \"respond to this RFP\"
Also in 3 projects that use this
akii-technologies-ltdSkillinternal-linking
Analyze and improve internal linking strategy. Use when the user asks about "internal links", "link structure", "site architecture", "link strategy", "orphan pages", "link equity", "page authority distribution", "anchor text", "topical clusters", "siloing", or wants to improve how pages connect.
Also in 3 projects that use this
akii-technologies-ltdSkillkeyword-clustering
Cluster and organize keywords into topical groups for SEO. Use when the user asks to "cluster keywords", "group keywords", "organize keywords", "keyword mapping", "topic clusters", "keyword grouping", "build a content plan", "pillar pages", "topical authority", "semantic clustering", or pastes a list of keywords.
Also in 3 projects that use this
silvainfmSkillschema-markup
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.
Also in 5 projects that use this
Other versions19 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 19
- Ryze-AI-Adgent/open-seo-mcp-skills★ 8.4ksame name
- indranilbanerjee/digital-marketing-pro★ 934same name
- langchain-ai/design-agent★ 596same name
- akii-technologies-ltd/akii-seo-ai-search-optimizer★ 79same name
- semrush/skills★ 13same name
- calven-ai/marketing-as-code★ 10same name
- searchfit/searchfit-seo★ 9same name
- winsley-jeune/harborrank-skills★ 2same name
- agiea-brain/agency-skills★ 1same name
- busyeugene/content-marketing-skills★ 1same name
9 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- alignment-auditSkill
- auditSkill
- citable-passageSkill
- entity-coverageSkill
- humanizerSkill
- internal-linksSkill
- meta-tagsSkill
- navboost-auditSkill
- optimizeSkill
- researchSkill
- schema-genSkill
- scoreSkill
- seo-fundamentalsSkill
- topic-clustersSkill
- write-seoSkill
The file
Files
/content-brief — SEO content brief
Target: $ARGUMENTS
Targets and thresholds: ${CLAUDE_PLUGIN_ROOT}/skills/seo-fundamentals/references/scoring-spec.md. Ground-truth rules: ${CLAUDE_PLUGIN_ROOT}/skills/seo-fundamentals/SKILL.md.
Research
- Entity and keywords — primary entity (Knowledge Graph entity, not just the string), primary keyword and intent, 5–8 secondary keywords, 3–5 question keywords (PAA), 3–5 semantically related terms.
- Query fan-out — 8–12 sub-queries AI Mode would decompose the query into (definition, how-to, comparison, troubleshooting, best practice, alternatives, cost, when).
- Competitive landscape — top-10 content types, lengths (median), structures, snippet opportunities, presence of an AI Overview.
- Entity coverage — run
/entity-coverage(or reuse its output). The brief must list the MUST-COVER entities and 5–8 information-gain points by name; each gain point becomes an outline section. If/entity-coveragecannot run, build a lighter matrix from the top 5 and say so.
Brief output
Header — target keyword, primary entity, intent, target length (SERP median +20–30%), audience, content type, difficulty.
Keywords table — primary (title, H1, first 50 words as sentence subject, 2–3 H2s, conclusion, slug), secondary (body, some H2/H3), questions (H2/H3 for snippets), related terms (naturally). No density target — the spam floor is 3%.
Outline — H1 with the primary entity; each H2/H3 tagged [MUST-COVER], [OPPORTUNITY], [INFORMATION GAIN], or [FAN-OUT TARGET: sub-query]; snippet targets marked. For each section: purpose (2–3 sentences), key points, how competitors handle it, differentiation angle, and the requirement that the first 40–60 words after the heading answer the heading's question.
Material the writer must obtain — for each information-gain point: the real data, case, quote, or screenshot needed and from whom. State explicitly that placeholders [NEEDS REAL DATA] are acceptable in drafts and fabricated material is not.
Meta draft — 3 title options (50–60 chars, entity front-loaded, click copy) and 3 descriptions (150–160 chars, value + CTA); slug (3–5 words). Final variants via /meta-tags.
Snippet strategy — target format (paragraph 40–60 words / list 5–9 items / table / definition), target question, placement right after the matching H2.
Links — 3–5 internal targets (existing pages), 2–3 external primary sources.
Schema — Article + Person (author, sameAs) + BreadcrumbList; FAQ only if the Q/A will be in the body verbatim.
Engagement requirements — hook type, where real anecdotes go (2–3), CTA placement (first within 500 words), visual notes.
Quality targets — length, Flesch ≥50 (60–70 for broad audiences), heading every 300–400 words, ≥4 citable passages per 1,000 words, ≥8 specialized entities, ≥3 information-gain points, ≥3 internal links, 2–3 external primary sources, publish threshold 70/100 with AI Overviews readiness ≥ PARTIAL.
Next: /write-seo with this brief.
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