Blog Style logo

Blog Style

CommunityPopular
AgriciDaniel
blog-style

Learn author writing style from 5 to 10 existing blog posts and generate a voice profile for /blog style learn, VOICE.md, blog-persona, and blog-write when users ask to infer tone, analyze author voice, learn style, or build a writing baseline.

Overview

PublisherAgriciDaniel
Repositoryclaude-blog
Skill nameblog-style
Stars
2.2K
Forks
362
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Blog Style AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-blog.git /tmp/claude-blog
mkdir -p .claude/skills
cp -r /tmp/claude-blog/skills/blog-style .claude/skills/blog-style
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog Style in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blog Style on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blog Style is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Blog Style - Writing Style Learning

Learn an author voice profile from existing posts, then use it as a baseline for VOICE.md, blog-persona, and blog-write. The profile captures measurable style signals so future drafts can preserve the author's cadence, vocabulary, and tone.

Commands

CommandPurpose
/blog style learn <paths>Analyze sample posts and generate a voice profile

Learn Workflow

Use 5 to 10 representative posts from the same author, brand, or editorial voice. Accept individual markdown files, MDX files, text files, or a directory containing posts.

Run the local learner:

bash
python3 scripts/style_learn.py <paths> --format markdown

For machine-readable output:

bash
python3 scripts/style_learn.py <paths> --format json --output voice-profile.json

For a VOICE.md-ready block:

bash
python3 scripts/style_learn.py <paths> --format markdown --output VOICE.md

If fewer than the requested minimum sample count is supplied, warn and continue. The default minimum is 5 posts.

Profile Fields

The learner aggregates the existing blog analyzer across each sample post:

  • Sentence length mean and median
  • Sentence length burstiness as corpus variance
  • Vocabulary richness as type-token ratio
  • Transition-word sentence rate
  • Passive-voice sentence rate
  • AI trigger words per 1,000 words as a baseline to preserve or avoid
  • Paragraph-length distribution
  • First-person usage rate
  • Heading-as-question ratio
  • Signature phrases from top 2-gram and 3-gram content phrases with stopwords removed
  • Tone descriptors derived from the measured metrics

Consuming the Profile

Drop the markdown block into project VOICE.md when the goal is durable project context. Blog-write can use the style baselines as drafting targets:

  • Keep average sentence length near the learned mean.
  • Match the learned sentence variation unless the user asks for a tighter or looser cadence.
  • Preserve signature phrases only when they fit the topic naturally.
  • Treat the AI trigger baseline as a ceiling when the author rarely uses those terms.
  • Use the first-person and heading-question rates to decide how personal and question-led the draft should feel.

Feed the JSON output into blog-persona when a structured persona should be created or updated. Map the learned values to persona sentence length, passive voice, readability, vocabulary, and tone settings.

Error Handling

  • Too few posts: Continue and warn that the profile may be less stable.
  • Missing paths: Skip missing paths and include a warning in the profile.
  • Unsupported files: Skip unsupported file types and include a warning.
  • Empty samples: Return zeroed metrics rather than crashing.

Frequently asked questions

What does the Blog Style AI skill do?

Learn author writing style from 5 to 10 existing blog posts and generate a voice profile for /blog style learn, VOICE.md, blog-persona, and blog-write when users ask to infer tone, analyze author voice, learn style, or build a writing baseline.

Why use Blog Style on TypingMind?

Because you install it once and use it with any model. Blog Style is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blog Style in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-blog/tree/main/skills/blog-style. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blog Style?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blog Style?

As many as you like. As long as a model supports skills, you can use Blog Style with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog Style AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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