본문으로 건너뛰기
cccskills
무료GitHub에 공개

seo-content-engine

Build and run an SEO content engine: audit current state, identify gaps, build keyword architecture, generate content calendar, draft content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md3.8 KB
  • skill.meta.json251 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

SEO Content Engine

Build a compounding SEO content engine for a client: audit → gap analysis → keyword architecture → content calendar → content drafting → publishing pipeline.

When to Use

  • "Build an SEO content strategy for [client]"
  • "Create a content engine for [company]"
  • "What content should [company] be publishing?"

Prerequisites

  • Client website URL
  • Client context.md with ICP, value props, positioning
  • Top competitors identified (from intelligence package or manually)

Steps

1. Audit Current State

Skill: seo-content-audit (orchestrates site-content-catalog + seo-domain-analyzer + brand-voice-extractor)

Run the full SEO audit to understand:

  • Current content inventory (what exists, by type and topic)
  • Domain authority, organic traffic, keyword rankings
  • Competitive gap matrix (what competitors rank for that the client doesn't)
  • Brand voice profile (writing style to match)

Skill: aeo-visibility

Test AI answer engine visibility for key queries.

Output: Complete picture of where the client stands in search.

2. Identify Content Gaps

From the audit, identify:

Competitive gaps: Keywords competitors rank for that the client doesn't Funnel gaps: Missing content at TOFU, MOFU, or BOFU stages Topic gaps: Industry/vertical content that doesn't exist Comparison gaps: Missing "vs" pages and "alternatives" pages

Prioritize by: search volume x commercial intent x competitive difficulty.

3. Build Keyword Architecture

Organize target keywords by funnel stage:

  • TOFU (awareness): "what is [category]", "[category] use cases", "how to [solve problem]"
  • MOFU (evaluation): "[category] comparison", "how to choose [solution]", "[compliance/technical] requirements"
  • BOFU (decision): "[Company] vs [Competitor]", "[Competitor] alternatives", pricing guides, migration guides

Map each keyword cluster to a content type (blog post, landing page, guide, comparison page).

4. Create Content Calendar

Build a prioritized content calendar:

  1. Week 1-2: Highest-urgency BOFU pages (comparison pages, especially if competitors are publishing attack content)
  2. Week 2-4: Core MOFU guides and evaluation content
  3. Week 4-8: TOFU awareness content and programmatic SEO templates
  4. Ongoing: 2-3 editorial pieces per week

5. Draft Content

Skill: content-asset-creator (for landing pages, reports, one-pagers) Method: AI-assisted drafting with brand voice matching (from brand-voice-extractor output)

For each content piece:

  • Match the client's brand voice and style
  • Include target keywords naturally
  • Build internal linking to related content
  • Include clear CTAs
  • Add structured data / schema markup recommendations

6. Build Internal Linking Architecture

Design the linking structure:

  • TOFU pages link to related MOFU pages
  • MOFU pages link to BOFU pages (comparison, pricing)
  • BOFU pages link to product/signup
  • All pages link to relevant pillar content

7. Publish & Monitor

  • Publish on client's blog/site (or provide drafts for client to publish)
  • Track: organic traffic by page/cluster, rankings by keyword, content-to-signup conversion
  • Monthly: Review which content is ranking, which needs updates

Ongoing Cadence

  • Weekly: Publish 2-3 pieces, monitor rankings
  • Monthly: Review content performance, update calendar, refresh underperforming pages
  • Quarterly: Re-run seo-content-audit to measure progress and identify new gaps

Human Checkpoints

  • After Step 2: Review gap analysis and priority recommendations
  • After Step 4: Review content calendar before drafting
  • After Step 5: Review content drafts before publishing

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

gooseworks-ai의 스킬 모두 보기

이 스킬의 문제 신고