Agent skill

Brand Voice Content Creator

by davila7 in davila7/claude-code-templates

Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it.

MITAuto-check passedWriting & Content

Install Brand Voice Content Creator

skills CLI
$ npx skills add davila7/claude-code-templates --skill content-creator -a claude-code

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

GitHub CLI
$ gh skill install davila7/claude-code-templates 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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/business-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
32k
Used in
3 other repos
Token cost
~1.9k tokens
SKILL.md length
683 words
Files
7 (incl. scripts, references, assets)
Skills in repo
477
Repo updated
First seen
Licence
MIT

At a glance

Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it.

  • Works in 3 steps: Run scripts/brand_voice_analyzer.py on… → Review references/brand_guidelines.md to… → Apply chosen voice consistently across…
  • Establishing a consistent brand voice before writing content for a new client
  • SKILL.md covers Keywords, Quick Start, Core Workflows and Key Scripts, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

For a new brand or client, a bundled analyzer script reads existing content to establish a baseline voice, which gets paired with personality archetypes and tone attributes chosen from a brand guidelines reference, then checked for consistency by writing a few sample pieces and re-running the analyzer against them. That established voice then carries through every later piece of content rather than being reinvented each time.

Blog posts start from keyword research, picking one primary keyword with meaningful search volume, three to five secondary keywords and ten to fifteen related terms, then follow a template from a content frameworks reference with the keyword placed in the title, the first paragraph and a couple of subheadings. A bundled SEO optimizer script checks the draft against the chosen keywords and returns recommendations, such as adjusting keyword density into a one-to-three-percent range, that get applied before publishing.

Social content instead starts from platform-specific best practices and a content calendar template, so the same underlying voice gets adapted to each platform's conventions rather than posted unchanged everywhere.

When your agent uses it

  • Establishing a consistent brand voice before writing content for a new client
  • Drafting an SEO-optimized blog post around a primary keyword
  • Adapting established brand voice into platform-specific social posts
  • Scheduling a batch of content using a content calendar template

Example prompts

  • “Analyze our last ten blog posts and establish a baseline brand voice.”
  • “Write an SEO blog post targeting 'home office setup' as the primary keyword.”
  • “Turn this blog post into three social captions in our established voice.”

Requirements

  • Python, to run the bundled brand voice and SEO scripts

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 14680ec. 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

Brand Voice Content Creator loads about 1.9k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 683 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.3k

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 davila7/claude-code-templates at commit 14680ec, republished under its MIT licence (© davila7). 683 words, ~1,865 tokens.

Download SKILL.mdSave it as .claude/skills/content-creator/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
content-creator
description
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.
license
MIT
metadata.version
1.0.0
metadata.author
Alireza Rezvani
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.

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

Quick Start

For 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
For 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
For 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

Establishing Brand Voice (First Time Setup)

When creating content for a new brand or client:

  1. Analyze Existing Content (if available)

    bash
    python scripts/brand_voice_analyzer.py existing_content.txt
  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
  3. Create Voice Sample

    • Write 3 sample pieces in chosen voice
    • Test consistency using analyzer
    • Refine based on results
Creating SEO-Optimized Blog Posts
  1. Keyword Research

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

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

    • Adjust keyword density to 1-3%
    • Ensure proper heading structure
    • Add internal and external links
    • Optimize meta description
Social Media Content Creation
  1. Platform Selection

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

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

    • Platform-appropriate length
    • Optimal posting time
    • Correct image dimensions
    • Platform-specific hashtags
    • Engagement elements (polls, questions)
Content Calendar Planning
  1. Monthly Planning

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

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

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

Key Scripts

brand_voice_analyzer.py

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

Usage: python scripts/brand_voice_analyzer.py <file> [json|text]

Returns:

  • Voice profile (formality, tone, perspective)
  • Readability score
  • Sentence structure analysis
  • Improvement recommendations
Show full SKILL.md (273 more words)Show less
seo_optimizer.py

Analyzes content for SEO optimization and provides actionable recommendations.

Usage: python scripts/seo_optimizer.py <file> [primary_keyword] [secondary_keywords]

Returns:

  • 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

Best Practices

Content Creation Process
  1. Always 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

Performance Metrics

Track these KPIs for content success:

Content Metrics
  • Organic traffic growth
  • Average time on page
  • Bounce rate
  • Social shares
  • Backlinks earned
Engagement Metrics
  • Comments and discussions
  • Email click-through rates
  • Social media engagement rate
  • Content downloads
  • Form submissions
Business Metrics
  • Leads generated
  • Conversion rate
  • Customer acquisition cost
  • Revenue attribution
  • ROI per content piece

Integration Points

This skill works best with:

  • Analytics platforms (Google Analytics, social media insights)
  • SEO tools (for keyword research)
  • Design tools (for visual content)
  • Scheduling platforms (for content distribution)
  • Email marketing systems (for newsletter content)

Quick Commands

bash
# Analyze brand voice
python scripts/brand_voice_analyzer.py content.txt

# Optimize for SEO
python scripts/seo_optimizer.py article.md "main keyword"

# Check content against brand guidelines
grep -f references/brand_guidelines.md content.txt

# Create monthly calendar
cp assets/content_calendar_template.md this_month_calendar.md

© davila7, 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 6 other files (scripts, references, assets) in cli-tool/components/skills/business-marketing/content-creator of davila7/claude-code-templates.

  • SKILL.md
  • assets/content_calendar_template.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 14680ec

Used in 3 other repositories

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Brand Voice 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.

Brand Voice Content Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brand Voice Content Creator this skilldavila7/claude-code-templates32k3 repos~1.9kAutomated safety check: PassMIT
Content Creatorsickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT
Content Engineindranilbanerjee/digital-marketing-pro8551 repos~8.9kAutomated safety check: PassMIT
Content Briefindranilbanerjee/digital-marketing-pro8551 repos~1.2kAutomated safety check: PassMIT
Content Creatorthatrebeccarae/claude-marketing162—~1.1kAutomated safety check: PassMIT
Content Creatoralirezarezvani/claude-skills28k1 repos~713Automated safety check: PassMIT

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Questions about Brand Voice Content Creator

What does Brand Voice Content Creator do?

Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it. For a new brand or client, a bundled analyzer script reads existing content to establish a baseline voice, which gets paired with personality archetypes and tone attributes chosen from a brand guidelines reference, then checked for consistency by writing a few sample pieces and re-running the analyzer against them. That established voice then carries through every later piece of content rather than being reinvented each time.

When should I use Brand Voice Content Creator?

Brand Voice Content Creator fits situations like: establishing a consistent brand voice before writing content for a new client; drafting an SEO-optimized blog post around a primary keyword; adapting established brand voice into platform-specific social posts; scheduling a batch of content using a content calendar template.

How do I install Brand Voice Content Creator in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill content-creator -a claude-code`. Or copy the skill folder (cli-tool/components/skills/business-marketing/content-creator in davila7/claude-code-templates) into .claude/skills/content-creator in your project. Claude Code loads it when a task matches its description.

How do I install Brand Voice Content Creator in Codex?

Run `npx skills add davila7/claude-code-templates --skill content-creator -a codex`. Or copy the skill folder (cli-tool/components/skills/business-marketing/content-creator in davila7/claude-code-templates) into .agents/skills/content-creator in your project. Codex loads it when a task matches its description.

Can I use Brand Voice 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 davila7/claude-code-templates --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 Brand Voice Content Creator need to run?

Going by SKILL.md and its folder, Brand Voice Content Creator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python, to run the bundled brand voice and SEO scripts.

Does Brand Voice 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 Brand Voice 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 Brand Voice Content Creator use?

Brand Voice 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 Brand Voice Content Creator use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 6.5k tokens, read only when the agent opens those files.

What are the alternatives to Brand Voice Content Creator?

Skills that share tags, products or a category with Brand Voice Content Creator: Content Creator (sickn33/agentic-awesome-skills, 47k stars), Content Engine (indranilbanerjee/digital-marketing-pro, 855 stars), Content Brief (indranilbanerjee/digital-marketing-pro, 855 stars) and Content Creator (thatrebeccarae/claude-marketing, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brand Voice Content Creator?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,463 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 8, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.