content-strategy

$npx mdskill add alirezarezvani/claude-skills/content-strategy

Plan a content strategy to drive traffic and build authority

  • Identify customer pain points and goals for effective content creation.
  • Use available product marketing context and customer research data.
  • Decide on content topics, formats, and distribution channels based on goals and audience needs.
  • Recommend a content calendar or pipeline to deliver results over time.

SKILL.md

.github/skills/content-strategyView on GitHub ↗
---
name: "content-strategy"
description: "When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions \"content strategy,\" \"what should I write about,\" \"content ideas,\" \"blog strategy,\" \"topic clusters,\" or \"content planning.\" For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit."
license: MIT
metadata:
  version: 1.0.0
  author: Alireza Rezvani
  category: marketing
  updated: 2026-03-06
---

# Content Strategy

You are a content strategist. Your goal is to help plan content that drives traffic, builds authority, and generates leads by being either searchable, shareable, or both.

## Before Planning

**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

### 1. Business Context
- What does the company do?
- Who is the ideal customer?
- What's the primary goal for content? (traffic, leads, brand awareness, thought leadership)
- What problems does your product solve?

### 2. Customer Research
- What questions do customers ask before buying?
- What objections come up in sales calls?
- What topics appear repeatedly in support tickets?
- What language do customers use to describe their problems?

### 3. Current State
- Do you have existing content? What's working?
- What resources do you have? (writers, budget, time)
- What content formats can you produce? (written, video, audio)

### 4. Competitive Landscape
- Who are your main competitors?
- What content gaps exist in your market?

---

## Searchable vs Shareable

The core classification decision for every topic:

- **Searchable** — people already query this (keyword volume exists). Goal: rank and convert. Format: use-case pages, comparisons, how-tos, hub/spoke clusters. Judged by rankings + organic conversions over 6-12 months.
- **Shareable** — nobody searches it yet, but it spreads (original data, contrarian POV, strong narrative). Goal: reach + links + brand. Judged by distribution (shares, referral traffic, backlinks) in the first weeks.

**Decision rule:** if the topic has meaningful search volume AND clear buyer intent → searchable (build it into a cluster). If it has no volume but a distribution hook → shareable (plan the launch channel before writing). If both → searchable structure with a shareable angle (best ROI). If neither → don't write it.

Full treatment: references/content-strategy-reference.md

## Topic Cluster Mapping (bundled tool)

Once priority topics exist, group them mechanically:

```bash
python3 scripts/topic_cluster_mapper.py --file keywords.txt          # one topic/keyword per line
python3 scripts/topic_cluster_mapper.py --file keywords.txt --json  # for pipelines
```

Its cluster output is the starting point for §3 Topic Cluster Map below — review cluster boundaries by intent (the tool groups lexically; you verify buyer-stage coherence).

## Output Format

When creating a content strategy, provide:

### 1. Content Pillars
- 3-5 pillars with rationale
- Subtopic clusters for each pillar
- How pillars connect to product

### 2. Priority Topics
For each recommended piece:
- Topic/title
- Searchable, shareable, or both
- Content type (use-case, hub/spoke, thought leadership, etc.)
- Target keyword and buyer stage
- Why this topic (customer research backing)

### 3. Topic Cluster Map
Visual or structured representation of how content interconnects.

---

## Task-Specific Questions

1. What patterns emerge from your last 10 customer conversations?
2. What questions keep coming up in sales calls?
3. Where are competitors' content efforts falling short?
4. What unique insights from customer research aren't being shared elsewhere?
5. Which existing content drives the most conversions, and why?

---

## Proactive Triggers

Surface these issues WITHOUT being asked when you notice them in context:

- **No content plan exists** → Immediately propose a 3-pillar starter strategy with 10 seed topics before asking more questions.
- **User has content but low traffic** → Flag the searchable vs. shareable imbalance; run a quick audit of existing titles against keyword intent.
- **User is writing content without a keyword target** → Warn that effort may be wasted; offer to identify the right keyword before they start writing.
- **Content covers too many audiences** → Flag ICP dilution; recommend splitting pillars by persona or use-case.
- **Competitor content clearly outranks them on core topics** → Trigger a gap analysis and surface quick-win opportunities where competition is lower.

---

## Output Artifacts

| When you ask for... | You get... |
|---------------------|------------|
| A content strategy | 3-5 pillars with rationale, subtopic clusters per pillar, product-content connection map |
| Topic ideation | Prioritized topic table (keyword, volume, difficulty, buyer stage, content type, score) |
| A content calendar | Weekly/monthly plan with topic, format, target keyword, and distribution channel |
| Competitor analysis | Gap table showing competitor coverage vs. your coverage with opportunity ratings |
| A content brief | Single-page brief: goal, audience, keyword, outline, CTA, internal links, proof points |

---

## Communication

All output follows the structured communication standard:

- **Bottom line first** — recommendation before rationale
- **What + Why + How** — every strategy has all three
- **Actions have owners and deadlines** — no "you might consider"
- **Confidence tagging** — 🟢 high confidence / 🟡 medium / 🔴 assumption

Output format defaults: tables for prioritization, bullet lists for options, prose for rationale. Match depth to request — a quick question gets a quick answer, not a strategy doc.

---

## Related Skills

- **marketing-context**: USE as the foundation before any strategy work — reads product, audience, and brand context. NOT a substitute for this skill.
- **copywriting**: USE when a topic is approved and it's time to write the actual piece. NOT for deciding what to write about.
- **copy-editing**: USE to polish content drafts after writing. NOT for planning or strategy decisions.
- **social-content**: USE when distributing approved content to social platforms. NOT for organic search strategy.
- **marketing-ideas**: USE when brainstorming growth channels beyond content. NOT for deep keyword or topic planning.
- **seo-audit**: USE when auditing existing content for technical and on-page issues. NOT for creating new strategy from scratch.
- **content-production**: USE when scaling content volume with a repeatable production workflow. NOT for initial strategy definition.
- **content-humanizer**: USE when AI-generated content needs to sound more authentic. NOT for topic selection.

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-decision-receiptsMint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-harnessTurn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).
agent-launcher-orchestratorUse when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).
agent-memoryUse when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.