openclaw-skills/content-creator/SKILL.md
Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.
npx skillsauth add seaworld008/commonly-used-high-value-skills content-creatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
scripts/brand_voice_analyzer.py on existing content to establish baselinereferences/brand_guidelines.md to select voice attributesreferences/content_frameworks.mdscripts/seo_optimizer.py [file] [primary-keyword] to optimizereferences/social_media_optimization.mdreferences/content_frameworks.mdassets/content_calendar_template.mdFor new brands or clients:
Step 1: Analyze Existing Content (if available)
python scripts/brand_voice_analyzer.py existing_content.txt
Step 2: Define Voice Attributes
references/brand_guidelines.mdStep 3: Create Voice Sample
Step 1: Keyword Research
Step 2: Content Structure
references/content_frameworks.mdStep 3: Optimization Check
python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"
Step 4: Apply SEO Recommendations
Step 1: Platform Selection
references/social_media_optimization.mdStep 2: Content Adaptation
references/content_frameworks.mdStep 3: Optimization Checklist
Step 1: Monthly Planning
assets/content_calendar_template.mdStep 2: Weekly Distribution
Step 3: Batch Creation
Analyzes text content for voice characteristics, readability, and consistency.
Usage:
# Human-readable output
python scripts/brand_voice_analyzer.py content.txt
# JSON output for integrations
python scripts/brand_voice_analyzer.py content.txt json
Parameters:
| Parameter | Required | Description |
|-----------|----------|-------------|
| file | Yes | Path to content file |
| format | No | Output format: text (default) or json |
Output:
Analyzes content for SEO optimization and provides actionable recommendations.
Usage:
# Basic analysis
python scripts/seo_optimizer.py article.md "main keyword"
# With secondary keywords
python scripts/seo_optimizer.py article.md "main keyword" "secondary,keywords,list"
# JSON output
python scripts/seo_optimizer.py article.md "keyword" --json
Parameters:
| Parameter | Required | Description |
|-----------|----------|-------------|
| file | Yes | Path to content file (md or html) |
| primary_keyword | Yes | Main target keyword |
| secondary_keywords | No | Comma-separated secondary keywords |
| --json | No | Output in JSON format |
Output:
references/brand_guidelines.md
references/content_frameworks.md
references/social_media_optimization.md
references/analytics_guide.md
This skill works best with:
references/analytics_guide.md)development
Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.
testing
Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.
development
Converting document formats (Markdown/Word/Excel/PDF/HTML). Converts specs from Scribe and reports from Harvest into distributable formats; generates reusable conversion scripts. Use when converting documents, building accessibility-compliant PDFs, or creating Pandoc/LibreOffice pipelines.
testing
Curating cross-agent knowledge and guarding institutional memory. Extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices, prevents organizational forgetting. Use when consolidating cross-agent insights, curating memory, or auditing knowledge decay.