Agent skill

Content Creator

by borghei in borghei/Claude-Skills

Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks.

MITAuto-check passedWriting & Content

Install Content Creator

skills CLI
$ npx skills add borghei/Claude-Skills --skill content-creator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills content-creator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/content-creator .claude/skills/content-creator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
content-creator
GitHub stars
874
Token cost
~4.6k tokens
SKILL.md length
2,007 words
Files
10 (incl. scripts, references, assets)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks.

  • Works in 3 steps: Run scripts/brand_voice_analyzer.py on… → Review references/brand_guidelines.md to… → Apply chosen voice consistently across…
  • Writing blog posts
  • SKILL.md covers Table of Contents, Keywords, Clarify First and Quick Start, plus 10 more sections
  • Runs Python scripts from its folder; calls python

What it does

Content Creator is an agent skill from borghei/Claude-Skills. Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks. Use when writing blog posts, creating social content, or analyzing brand voice.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `assets/content_calendar_template.md`, `examples/brand_voice_analysis_example.md` and `examples/seo_optimization_example.md`).

It sits in Writing & Content, covering Blog and article writing, Brand voice and tone and Social media posts. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Writing blog posts
  • Creating social content
  • Analyzing brand voice

Example prompts

  • “/content-creator”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Run scripts/brand_voice_analyzer.py on existing content to establish baseline
  2. Review references/brand_guidelines.md to select voice attributes
  3. Apply chosen voice consistently across all content

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Content Creator loads about 4.6k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 2,007 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 2,007 words, ~4,603 tokens.

Download SKILL.mdSave it as .claude/skills/content-creator/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
content-creator
description
Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks. Use when writing blog posts, creating social content, or analyzing brand voice.
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
marketing
metadata.domain
content-marketing
metadata.updated
2025-10-20
metadata.python-tools
brand_voice_analyzer.py, seo_optimizer.py
metadata.tech-stack
SEO, social-media-platforms

Content Creator

Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.


Table of Contents


Keywords

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


Clarify First

Before creating the content, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Primary keyword & topic — the search target and angle (drives SEO optimization and blog structure)
  • Content type & platform — blog post, LinkedIn, X, Instagram (selects the framework template and length)
  • Brand voice — archetype + formality/tone, or sample content to baseline against (keeps voice consistent across pieces)
  • Target audience — who they are and their expertise level (sets readability target and messaging)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

Brand Voice Development
  1. Run scripts/brand_voice_analyzer.py on existing content to establish baseline
  2. Review references/brand_guidelines.md to select voice attributes
  3. Apply chosen voice consistently across all content
Blog Content Creation
  1. Choose template from references/content_frameworks.md
  2. Research keywords for topic
  3. Write content following template structure
  4. Run scripts/seo_optimizer.py [file] [primary-keyword] to optimize
  5. Apply recommendations before publishing
Social Media Content
  1. Review platform best practices in references/social_media_optimization.md
  2. Use appropriate template from references/content_frameworks.md
  3. Optimize based on platform-specific guidelines
  4. Schedule using assets/content_calendar_template.md

Core Workflows

Workflow 1: Establish Brand Voice (First Time Setup)

For new brands or clients:

Step 1: Analyze Existing Content (if available)

bash
python scripts/brand_voice_analyzer.py existing_content.txt

Step 2: Define Voice Attributes

  • Review brand personality archetypes in references/brand_guidelines.md
  • Select primary and secondary archetypes
  • Choose 3-5 tone attributes
  • Document in brand guidelines

Step 3: Create Voice Sample

  • Write 3 sample pieces in chosen voice
  • Test consistency using analyzer
  • Refine based on results
Workflow 2: Create SEO-Optimized Blog Posts

Step 1: Keyword Research

  • Identify primary keyword (search volume 500-5000/month)
  • Find 3-5 secondary keywords
  • List 10-15 LSI keywords

Step 2: Content Structure

  • Use blog template from references/content_frameworks.md
  • Include keyword in title, first paragraph, and 2-3 H2s
  • Aim for 1,500-2,500 words for comprehensive coverage

Step 3: Optimization Check

bash
python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"

Step 4: Apply SEO Recommendations

  • Adjust keyword density to 1-3%
  • Ensure proper heading structure
  • Add internal and external links
  • Optimize meta description
Workflow 3: Create Social Media Content

Step 1: Platform Selection

  • Identify primary platforms based on audience
  • Review platform-specific guidelines in references/social_media_optimization.md

Step 2: Content Adaptation

  • Start with blog post or core message
  • Use repurposing matrix from references/content_frameworks.md
  • Adapt for each platform following templates

Step 3: Optimization Checklist

  • Platform-appropriate length
  • Optimal posting time
  • Correct image dimensions
  • Platform-specific hashtags
  • Engagement elements (polls, questions)
Workflow 4: Plan Content Calendar

Step 1: Monthly Planning

  • Copy assets/content_calendar_template.md
  • Set monthly goals and KPIs
  • Identify key campaigns/themes

Step 2: Weekly Distribution

  • Follow 40/25/25/10 content pillar ratio
  • Balance platforms throughout week
  • Align with optimal posting times

Step 3: Batch Creation

  • Create all weekly content in one session
  • Maintain consistent voice across pieces
  • Prepare all visual assets together

Tools

Brand Voice Analyzer

Analyzes text content for voice characteristics, readability, and consistency.

Usage:

bash
# 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:

ParameterRequiredDescription
fileYesPath to content file
formatNoOutput format: text (default) or json

Output:

  • Voice profile (formality, tone, perspective)
  • Readability score (Flesch Reading Ease)
  • Sentence structure analysis
  • Improvement recommendations
SEO Optimizer

Analyzes content for SEO optimization and provides actionable recommendations.

Usage:

bash
# 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:

ParameterRequiredDescription
fileYesPath to content file (md or html)
primary_keywordYesMain target keyword
secondary_keywordsNoComma-separated secondary keywords
--jsonNoOutput in JSON format

Output:

  • SEO score (0-100)
  • Keyword density analysis
  • Structure assessment
  • Meta tag suggestions
  • Specific optimization recommendations

Reference Guides

When to Use Each Reference

references/brand_guidelines.md

  • Setting up new brand voice
  • Ensuring consistency across content
  • Training new team members
  • Resolving voice/tone questions

references/content_frameworks.md

  • Starting any new content piece
  • Structuring different content types
  • Creating content templates
  • Planning content repurposing

references/social_media_optimization.md

  • Platform-specific optimization
  • Hashtag strategy development
  • Understanding algorithm factors
  • Setting up analytics tracking

references/analytics_guide.md

  • Tracking content performance
  • Setting up measurement frameworks
  • Creating performance reports
  • Attribution modeling

Best Practices

Content Creation Process
  1. Start with audience need/pain point
  2. Research before writing
  3. Create outline using templates
  4. Write first draft without editing
  5. Optimize for SEO
  6. Edit for brand voice
  7. Proofread and fact-check
  8. Optimize for platform
  9. Schedule strategically
Quality Indicators
  • SEO score above 75/100
  • Readability appropriate for audience
  • Consistent brand voice throughout
  • Clear value proposition
  • Actionable takeaways
  • Proper visual formatting
  • Platform-optimized
Common Pitfalls to Avoid
  • Writing before researching keywords
  • Ignoring platform-specific requirements
  • Inconsistent brand voice
  • Over-optimizing for SEO (keyword stuffing)
  • Missing clear CTAs
  • Publishing without proofreading
  • Ignoring analytics feedback

Integration Points

This skill works best with:

  • Analytics platforms - Google Analytics, social media insights for tracking (see references/analytics_guide.md)
  • SEO tools - For keyword research and competitive analysis
  • Design tools - Canva, Figma for visual content
  • Scheduling platforms - Buffer, Hootsuite for content distribution
  • Email marketing systems - For newsletter content campaigns

Troubleshooting

ProblemLikely CauseSolution
SEO score is low despite keyword inclusionKeywords present but not in strategic positions (title, H1, first paragraph, H2s)Place primary keyword in the first paragraph, at least one H2, and the page title. Keyword density alone is no longer a ranking factor -- placement and natural integration matter more in 2026
Brand voice analyzer shows inconsistent results across contentMultiple authors writing without shared voice guidelinesEstablish a baseline by running brand_voice_analyzer.py on your best-performing content. Document the formality score, tone, and perspective as your target profile. Have all authors reference this baseline
Content ranks initially then dropsThin content or lack of E-E-A-T signalsGoogle's December 2025 core update and helpful content system penalize shallow content. Add first-person experience, original data (3+ fresh statistics per 1,000 words), expert quotes, and case studies. Content must demonstrate Experience that AI cannot replicate
AI-generated content flagged or not rankingUnedited AI output lacking human oversight, expertise, or originalityGoogle does not penalize AI-assisted content per se, but mass-produced AI content without human review, original perspective, or expertise signals will underperform. Always add personal experience, proprietary data, and fact-checked claims. Layer in E-E-A-T signals: author bylines with credentials, cited sources, real examples
SEO optimizer recommends increasing keyword density above 3%Legacy recommendation conflicting with current best practiceOverride any density target above 2%. A 2026 study of 1,500+ Google results found no correlation between keyword density and ranking. Pages in the top 10 have 50% lower keyword density than two years ago. Focus on topical coverage and semantic relevance instead
Content not winning featured snippetsMissing concise answer format near the top of the pageProvide a 2-3 sentence direct answer to the core question within the first 120-150 words. Use short paragraphs (2-4 sentences), bulleted lists, and clear H2/H3 subheadings. Featured snippets have 42.9% CTR -- the highest of any SERP feature
Social media content underperforming despite good blog contentDirect copy-paste without platform adaptationEach platform requires format-specific adaptation. LinkedIn favors 1,300-character posts with carousel documents (21.77% median engagement rate). Instagram prioritizes visual-first carousel posts. TikTok requires short-form video. Use the repurposing matrix in references/content_frameworks.md

Show full SKILL.md (821 more words)Show less

Success Criteria

  • SEO Score: Achieve 75+/100 on the SEO optimizer for all published content. Top-performing content averages 80-90. Track scores before and after optimization to measure improvement
  • Content Length: Target 1,500-2,500 words for comprehensive blog posts. Top-10 Google results average 1,447 words; position-1 results average 1,890 words. Content over 3,000 words wins 3x more traffic and 4x more shares but requires strong structure
  • Keyword Placement: Primary keyword must appear in the page title, first paragraph, and at least one H2. Keyword density between 1-2% (not higher). Secondary keywords should appear naturally throughout with no forced repetition
  • Readability: Target Flesch Reading Ease score of 60-70 for general audiences (8th-9th grade level). B2B technical content can target 40-55. Sentence variety should be rated "medium" or "high" by the brand voice analyzer
  • E-E-A-T Compliance: Every piece of content must include at least one first-person experience element, 3+ cited statistics per 1,000 words, and author attribution with relevant credentials. This is non-negotiable for ranking in 2026 following Google's helpful content updates
  • Brand Voice Consistency: Maintain consistent formality, tone, and perspective scores across all content pieces as measured by brand_voice_analyzer.py. Variance of more than 15 points in formality score between pieces indicates inconsistency
  • Content Calendar Adherence: Follow the 40/25/25/10 content pillar ratio (educational/thought leadership/product/promotional). Publish at minimum 2-4 blog posts per month and 5-7 social posts per week across primary platforms

Scope & Limitations

In Scope:

  • Brand voice analysis: formality scoring, tone detection, perspective analysis, readability (Flesch Reading Ease), sentence structure analysis
  • SEO content optimization: keyword density, content structure evaluation, meta tag suggestions, heading analysis, link audit, SEO score (0-100)
  • Content framework guidance via reference documents (blog templates, social media formats, email structures)
  • Content calendar planning and platform-specific optimization guidance

Out of Scope:

  • AI content generation (this skill analyzes and optimizes content, it does not generate it)
  • Keyword research and search volume data (use dedicated SEO tools like Ahrefs, SEMrush, or Moz, or the app-store-optimization skill for mobile)
  • Image or video creation and optimization (use design tools like Canva or Figma)
  • Social media scheduling and publishing (use Buffer, Hootsuite, or native platform tools)
  • Backlink analysis and link building (requires external SEO tools)
  • Real-time SERP tracking or rank monitoring
  • AI content detection scoring (Google does not penalize AI content by detection alone; focus on quality signals instead)

Integration Points

IntegrationPurposeHow to Connect
Google Search ConsoleMonitor indexing, search queries, CTR, and position dataUse Search Console data to identify underperforming pages, then run seo_optimizer.py to diagnose and fix issues. Track position changes after optimization
Google Analytics 4 (GA4)Content performance measurement, engagement metricsMeasure page views, time on page, bounce rate, and conversions per content piece. Feed insights back into content strategy decisions
SEO Tools (Ahrefs, SEMrush, Moz)Keyword research, backlink data, competitive analysisExport target keywords from SEO tools to use as input for seo_optimizer.py. Use competitive gap analysis to inform content topics
CMS Platforms (WordPress, Webflow, Ghost)Content publishing and meta tag implementationApply meta tag suggestions from seo_optimizer.py directly to CMS fields. Implement heading structure recommendations in post editor
social-media-analyzer skillSocial content performance trackingAnalyze which content formats and topics perform best on social, then use findings to inform content creation priorities
campaign-analytics skillContent ROI measurementTrack content-attributed conversions through campaign analytics. Identify which content pieces drive the most pipeline or revenue
app-store-optimization skillApp description writingApply SEO writing principles and brand voice consistency to app store descriptions using shared voice guidelines

Tool Reference

brand_voice_analyzer.py

Type: CLI script (positional arguments, no argparse flags)

Usage:

bash
python brand_voice_analyzer.py <file> [format]
ArgumentPositionRequiredDefaultDescription
file1stYes--Path to text content file to analyze
format2ndNotextOutput format: text (human-readable) or json (machine-readable)

Output Fields:

  • word_count -- Total words in content
  • readability_score -- Flesch Reading Ease (0-100). Below 30 = difficult, 30-60 = moderate, 60-70 = standard, 70+ = easy
  • voice_profile -- Per-dimension analysis:
    • formality -- Dominant: formal or casual (based on keyword matching)
    • tone -- Dominant: professional or friendly
    • perspective -- Dominant: authoritative or conversational
  • sentence_analysis -- Average sentence length (words), variety (low/medium/high), total count
  • recommendations -- Actionable suggestions for readability, sentence variety, and voice consistency
seo_optimizer.py

Type: CLI script (positional arguments with one optional flag)

Usage:

bash
python seo_optimizer.py <file> [primary_keyword] [secondary_keywords] [--json]
ArgumentPosition/FlagRequiredDefaultDescription
file1stYes--Path to content file (markdown or HTML)
primary_keyword2ndNoNoneMain target keyword for density and placement analysis
secondary_keywords3rdNoNoneComma-separated secondary keywords (e.g., "seo,content,optimization")
--jsonFlagNotext outputOutput raw JSON instead of human-readable format

Output Fields:

  • optimization_score -- Overall SEO score (0-100). Scoring: content length (20 pts), keyword optimization (30 pts), structure (25 pts), readability (25 pts)
  • content_length -- Word count
  • keyword_analysis:
    • primary_keyword -- Count, density (0-1 scale), in_first_paragraph (bool), in_headings (bool)
    • secondary_keywords -- Per-keyword count and density
    • lsi_keywords -- Top 10 semantically related terms extracted from content
  • structure_analysis -- Heading counts (h1/h2/h3), paragraph count, average paragraph length, list count, internal/external link counts
  • readability -- Score (0-100), level (Easy/Moderate/Difficult/Very Difficult), average sentence length
  • meta_suggestions -- Generated title, meta description, URL slug, Open Graph tags
  • recommendations -- Prioritized list of specific improvement actions

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, references, assets) in marketing/content-creator of borghei/Claude-Skills.

  • SKILL.md
  • assets/content_calendar_template.md
  • examples/brand_voice_analysis_example.md
  • examples/seo_optimization_example.md
  • references/analytics_guide.md
  • references/brand_guidelines.md
  • references/content_frameworks.md
  • references/social_media_optimization.md
  • scripts/brand_voice_analyzer.py
  • scripts/seo_optimizer.py

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Content Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Content Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Content Creator this skillborghei/Claude-Skills874—~4.6kAutomated safety check: PassMIT
Voice Buildercharlie947/social-media-skills3.8k—~3.3kAutomated safety check: PassMIT
Content Writerchrispangg/deepagentsdk128—~3.3kAutomated safety check: PassMIT
Content Creatorthatrebeccarae/claude-marketing162—~1.1kAutomated safety check: PassMIT
Content Creatorsickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT
Writewaynesutton/markdown-site628—~3kAutomated safety check: PassMIT

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Questions about Content Creator

What does Content Creator do?

Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks. Content Creator is an agent skill from borghei/Claude-Skills. Create SEO-optimized marketing content with consistent brand voice, using a brand voice analyzer, SEO optimizer, and content frameworks.

When should I use Content Creator?

Content Creator fits situations like: writing blog posts; creating social content; analyzing brand voice.

How do I install Content Creator in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill content-creator -a claude-code`. Or copy the skill folder (marketing/content-creator in borghei/Claude-Skills) into .claude/skills/content-creator in your project. Claude Code loads it when a task matches its description.

How do I install Content Creator in Codex?

Run `npx skills add borghei/Claude-Skills --skill content-creator -a codex`. Or copy the skill folder (marketing/content-creator in borghei/Claude-Skills) into .agents/skills/content-creator in your project. Codex loads it when a task matches its description.

Can I use Content Creator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill content-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-creator, .gemini/skills/content-creator, .github/skills/content-creator and .opencode/skills/content-creator in your project.

What does Content Creator need to run?

Going by SKILL.md and its folder, Content Creator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Content Creator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Content Creator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Content Creator use?

Content Creator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Content Creator use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.3k tokens, read only when the agent opens those files.

What are the alternatives to Content Creator?

Skills that share tags, products or a category with Content Creator: Voice Builder (charlie947/social-media-skills, 3.8k stars), Content Writer (chrispangg/deepagentsdk, 128 stars), Content Creator (thatrebeccarae/claude-marketing, 162 stars) and Content Creator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Content Creator?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.