Keep the decision steps in SKILL.md and move catalogs, examples, and checklists verbatim to references/ to reduce the context cost of loading the skill. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
125 lines
4.2 KiB
Markdown
125 lines
4.2 KiB
Markdown
# Content Ideation and Prioritization
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## Content Ideation Sources
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### 1. Keyword Data
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If user provides keyword exports (Ahrefs, SEMrush, GSC), analyze for:
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- Topic clusters (group related keywords)
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- Buyer stage (awareness/consideration/decision/implementation)
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- Search intent (informational, commercial, transactional)
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- Quick wins (low competition + decent volume + high relevance)
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- Content gaps (keywords competitors rank for that you don't)
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Output as prioritized table:
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| Keyword | Volume | Difficulty | Buyer Stage | Content Type | Priority |
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### 2. Call Transcripts
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If user provides sales or customer call transcripts, extract:
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- Questions asked → FAQ content or blog posts
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- Pain points → problems in their own words
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- Objections → content to address proactively
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- Language patterns → exact phrases to use (voice of customer)
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- Competitor mentions → what they compared you to
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Output content ideas with supporting quotes.
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### 3. Survey Responses
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If user provides survey data, mine for:
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- Open-ended responses (topics and language)
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- Common themes (30%+ mention = high priority)
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- Resource requests (what they wish existed)
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- Content preferences (formats they want)
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### 4. Forum Research
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Use web search to find content ideas:
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**Reddit:** `site:reddit.com [topic]`
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- Top posts in relevant subreddits
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- Questions and frustrations in comments
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- Upvoted answers (validates what resonates)
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**Quora:** `site:quora.com [topic]`
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- Most-followed questions
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- Highly upvoted answers
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**Other:** Indie Hackers, Hacker News, Product Hunt, industry Slack/Discord
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Extract: FAQs, misconceptions, debates, problems being solved, terminology used.
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### 5. Competitor Analysis
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Use web search to analyze competitor content:
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**Find their content:** `site:competitor.com/blog`
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**Analyze:**
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- Top-performing posts (comments, shares)
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- Topics covered repeatedly
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- Gaps they haven't covered
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- Case studies (customer problems, use cases, results)
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- Content structure (pillars, categories, formats)
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**Identify opportunities:**
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- Topics you can cover better
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- Angles they're missing
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- Outdated content to improve on
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### 6. Sales and Support Input
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Extract from customer-facing teams:
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- Common objections
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- Repeated questions
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- Support ticket patterns
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- Success stories
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- Feature requests and underlying problems
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## Prioritizing Content Ideas
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Score each idea on four factors:
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### 1. Customer Impact (40%)
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- How frequently did this topic come up in research?
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- What percentage of customers face this challenge?
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- How emotionally charged was this pain point?
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- What's the potential LTV of customers with this need?
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### 2. Content-Market Fit (30%)
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- Does this align with problems your product solves?
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- Can you offer unique insights from customer research?
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- Do you have customer stories to support this?
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- Will this naturally lead to product interest?
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### 3. Search Potential (20%)
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- What's the monthly search volume?
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- How competitive is this topic?
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- Are there related long-tail opportunities?
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- Is search interest growing or declining?
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### 4. Resource Requirements (10%)
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- Do you have expertise to create authoritative content?
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- What additional research is needed?
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- What assets (graphics, data, examples) will you need?
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### Scoring Template
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| Idea | Customer Impact (40%) | Content-Market Fit (30%) | Search Potential (20%) | Resources (10%) | Total |
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|------|----------------------|-------------------------|----------------------|-----------------|-------|
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| Topic A | 8 | 9 | 7 | 6 | 8.0 |
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| Topic B | 6 | 7 | 9 | 8 | 7.1 |
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Score 1-10 per factor, multiply by the weight, sum for the total. Rank the list; make the top-scoring pieces first.
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## Calendar Split: 60/30/10
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Balance the editorial calendar so search compounds while shareable pieces keep you visible:
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- **60% searchable** — the foundation. Demand you can capture predictably (use-case content, hub/spoke, how-tos).
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- **30% shareable** — thought leadership, original data, opinion. Creates demand and earns links/mentions.
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- **10% experimental** — new formats, channels, or bets. Cheap insurance against a stale mix.
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This is a starting ratio, not a rule. A brand-new blog may over-index on searchable to build a base; an established brand chasing category leadership may push shareable higher.
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