Agent skill

Voice Analysis

by jwynia in jwynia/agent-skills

Extract and document a writer's distinctive voice patterns for consistent reproduction.

MITAuto-check passedWriting & Content

Install Voice Analysis

skills CLI
$ npx skills add jwynia/agent-skills --skill voice-analysis -a claude-code

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

GitHub CLI
$ gh skill install jwynia/agent-skills voice-analysis --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/jwynia/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/general/writing/analysis/voice-analysis .claude/skills/voice-analysis && 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
voice-analysis
GitHub stars
170
Token cost
~2.6k tokens
SKILL.md length
1,155 words
Files
1
Skills in repo
111
Repo updated
First seen
Licence
MIT

At a glance

Extract and document a writer's distinctive voice patterns for consistent reproduction.

  • Works in 8 steps: Sample Collection → Linguistic Analysis → Lexical Fingerprinting → …
  • You need to capture writing voice
  • SKILL.md covers Purpose, Core Principle, Phase 1: Sample Collection and Phase 2: Linguistic Analysis, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Voice Analysis is an agent skill from jwynia/agent-skills. Extract and document a writer's distinctive voice patterns for consistent reproduction. Use when you need to capture writing voice, analyze writing style, create a voice guide, or write in someone's established style. Keywords: voice, tone, style, writing analysis, fingerprint.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Brand voice and tone. The licence is MIT.

When your agent uses it

  • You need to capture writing voice
  • Analyze writing style
  • Create a voice guide
  • Write in someones established style

Example prompts

  • “/voice-analysis”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Sample Collection
  2. Linguistic Analysis
  3. Lexical Fingerprinting
  4. Conceptual DNA
  5. Emotional Texture
  6. Reader Dynamics
  7. Voice Guide Synthesis
  8. Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e02ec7e. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Voice Analysis loads about 2.6k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from jwynia/agent-skills at commit e02ec7e, republished under its MIT licence (© jwynia). 1,155 words, ~2,633 tokens.

Download SKILL.mdSave it as .claude/skills/voice-analysis/SKILL.md (or your agent's skills folder).
name
voice-analysis
description
Extract and document a writer's distinctive voice patterns for consistent reproduction. Use when you need to capture writing voice, analyze writing style, create a voice guide, or write in someone's established style. Keywords: voice, tone, style, writing analysis, fingerprint.
license
MIT
metadata.author
jwynia
metadata.version
1.0
metadata.type
utility
metadata.mode
evaluative
metadata.domain
fiction

Voice & Tone Analysis

Purpose

Extract and document a writer's distinctive voice patterns for consistent reproduction. Creates a "voice guide" that enables authentic writing that sounds like the source, not a generic approximation.

Core Principle

Capture spirit, not just mechanics. The goal is writing that makes the source say "yes, that's me" not "I guess that's accurate."


Phase 1: Sample Collection

Gather 5-10 Examples from Each Category

Peak Voice - Writing they identify as "most them"

Off-Voice - Writing that doesn't represent them well

Different Contexts:

  • Technical/instructional content
  • Persuasive/argumentative pieces
  • Narrative/storytelling
  • Casual communication (emails, messages)
  • Formal communication
  • Emotional/vulnerable content
Self-Report Prompts

Rewrite Exercise: Ask: "Rewrite this neutral paragraph in your voice:"

"The new policy will be implemented next month. It includes several changes to current procedures. Employees should review documentation and submit questions by the deadline."

Rule Breaking: "What writing 'rules' do you consistently ignore? Why?"

Pet Peeves: "What writing choices immediately signal something wasn't written by you?"

Evolution: "How has your writing changed in 5 years? What stayed constant?"


Phase 2: Linguistic Analysis

Sentence Level
PatternWhat to Track
Average lengthWords per sentence
RangeShortest to longest
FragmentsUsage frequency, contexts
Run-onsTendency, intentionality
Opening patternsHow sentences typically start
Closing patternsHow sentences typically end
Paragraph Architecture
ElementWhat to Track
Average lengthSentences per paragraph
Topic sentencesBeginning, middle, end, absent
TransitionsExplicit words, implicit flow, abrupt
Information orderBuild-up, front-load, circular
Punctuation Signature
MarkTrack Usage Pattern
Em dashInterruption, emphasis, list, asides
ParenthesesFrequency, content type
SemicolonPresence, absence, alternative
EllipsisTrailing, pause, omission
ExclamationFrequency, contexts
Rhetorical questionsFrequency, function

Phase 3: Lexical Fingerprinting

Word Choice Matrix
CategoryPreferredAvoidedSignature Examples
Technical terms
Colloquialisms
Intensifiersvery, extremely, quite...
Hedgingperhaps, might, seems...
Abstract/concrete
Register Analysis
  • Consistent register (formal/informal throughout)
  • Deliberate register mixing (formal content, casual asides)
  • Context-dependent shifting (formal for X, casual for Y)
Recurring Constructions

List phrases/patterns appearing 3+ times:





Phase 4: Conceptual DNA

Metaphor Mapping
Source DomainTarget DomainExampleFrequency
(war, journey, building...)(ideas, processes...)
Reference Pool
  • Cultural touchstones: (movies, books, memes, history...)
  • Time period: (contemporary, 90s, classic...)
  • Accessibility level: (mainstream, niche, insider)
  • Domains drawn from: (sports, cooking, science...)
Reasoning Patterns

Rate 1-5 for prevalence:

  • Analogical reasoning (like X, therefore Y)
  • First principles (from basics up)
  • Empirical evidence (data, studies)
  • Personal anecdote (I experienced...)
  • Hypotheticals (imagine if...)
  • Socratic questioning (but what if...?)

Phase 5: Emotional Texture

Enthusiasm Spectrum
LowMediumHigh
(understated)(balanced)(expressive)
Criticism Styles
StyleWhen UsedMarkers
Direct"This is wrong because..."
Diplomatic"One consideration might be..."
Humorous"Well, that's one way to..."
Analytical"The issue breaks down to..."
Vulnerability Patterns
  • Admission phrases: "I'll admit...", "honestly..."
  • Uncertainty markers: "I think...", "not sure but..."
  • Personal revelation style: Direct? Buried in humor? Rare?

Phase 6: Reader Dynamics

Positioning

The writer positions as:

  • Expert/teacher (I know, let me explain)
  • Peer/collaborator (we're figuring this out together)
  • Student/learner (I'm working through this)
  • Challenger/provocateur (conventional wisdom is wrong)
  • Guide/facilitator (here's how to navigate)
Assumed Context
  • Shared knowledge level: Assumes expertise? Explains basics?
  • Cultural assumptions: In-group references? Universal?
  • Relationship warmth: Distant professional? Familiar?
Interactive Patterns
  • Questions per 1000 words: ___
  • Direct address frequency ("you"): ___
  • Imperative usage (commands): ___
  • Inclusive language ("we/us"): ___

Phase 7: Voice Guide Synthesis

Core Voice Statement

In 2-3 sentences, capture the essence:

The Rules That Matter Most

Always:

Never:

Usually, unless:

Sentence Construction Guide
  • Preferred length:
  • Variety pattern:
  • Opening moves:
  • Power positions: (where key info lands)
Word Selection Principles
  • Go-to words for [concept]:
  • Banned words/phrases:
  • Register rules:
Structural Signatures
  • Paragraph rhythm:
  • Transition style:
  • Information architecture:
Emotional Register
  • Default tone:
  • Excitement expression:
  • Criticism approach:
  • Vulnerability threshold:
The Litmus Test

A piece captures this voice when: 1. 2. 3.

Red Flags

Definitely NOT this voice when: 1. 2. 3.


Phase 8: Validation

Before finalizing the voice guide:

  • Can identify the author in a blind test?
  • Guided writing feels authentic, not performative?
  • Patterns are descriptive, not prescriptive?
  • Captures spirit, not just mechanics?
  • Source would say "yes, that's me"?

Quick Reference Template

In Every Piece
The Heart of the Voice

[Single paragraph essence]

Emergency Voice Recovery

When writing has gone generic, add: 1. 2. 3.


Usage Notes

For AI Writing

Once the voice guide is complete, include relevant sections in the prompt to guide generation toward authentic voice reproduction.

Show full SKILL.md (452 more words)Show less
For Self-Analysis

Writers can use this framework to understand their own voice, identify what makes their writing distinctive, and consciously apply those patterns.

For Editing

Use the voice guide as a checklist when editing to ensure consistency and authenticity.


Anti-Patterns

1. Mechanics Over Spirit

Pattern: Cataloging every linguistic feature without understanding what makes the voice feel distinctive. Why it fails: A perfect inventory of word frequencies and sentence lengths can produce writing that's technically accurate but feels like a parody. Voice is gestalt, not components. Fix: Start from "what makes this voice feel like this?" Work backward to mechanics. The inventory serves understanding; understanding doesn't emerge from inventory alone.

2. Single-Context Capture

Pattern: Analyzing voice from one type of writing, then applying it to all contexts. Why it fails: Writers shift voice across contexts. Technical writing voice differs from casual email voice. Capturing one context and forcing it everywhere creates uncanny artifacts. Fix: Sample across contexts. Map how voice shifts. Include context-switching rules in the voice guide. Understand which elements are constant vs. context-dependent.

3. Frequency as Rule

Pattern: If they use em-dashes 8% of the time, the voice guide prescribes 8% em-dash usage. Why it fails: Frequency is a statistical average, not a style rule. Forced frequency creates awkward placement. Natural writers don't count punctuation. Fix: Understand when they use em-dashes, not how often. "Uses em-dashes for dramatic interjections, rarely for lists" is actionable. "8% em-dashes" is not.

4. Imitation Artifacts

Pattern: Voice-guided writing that feels like someone doing an impression—technically accurate but overperformed. Why it fails: Distinctive features become tics when isolated. Real voice balances distinctive and neutral. Guides that catalog only distinctive features produce caricature. Fix: Include neutral baseline alongside distinctive features. Most sentences should sound natural, with distinctive features emerging at appropriate moments, not constantly.

5. Frozen Voice

Pattern: Treating the voice guide as permanent, not updating as the writer evolves. Why it fails: Writers change. A voice guide from 2020 may not fit 2025 writing. Using outdated guides produces writing that feels like an old version of the person. Fix: Note the capture date. Plan periodic updates. Include the writer's own reflections on how their voice has evolved. Treat the guide as living documentation.

Integration

Inbound (feeds into this skill)
SkillWhat it provides
(writing samples)Raw material for analysis
prose-styleSentence-level craft framework for analysis
Outbound (this skill enables)
SkillWhat this provides
prose-styleVoice-specific sentence construction guidance
dialogueVoice patterns for character speech
(AI generation)Voice guides for consistent AI-assisted writing
Complementary
SkillRelationship
prose-styleVoice-analysis captures what; prose-style provides how. Use voice-analysis first to understand the target, then prose-style to achieve it
dialogueVoice-analysis for authorial voice; dialogue skill for character voices within fiction

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

Files

Just SKILL.md in skills/general/writing/analysis/voice-analysis of jwynia/agent-skills.

Open the folder on GitHubat commit e02ec7e

Compare with similar skills

Voice Analysis 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.

Voice Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Voice Analysis this skilljwynia/agent-skills170—~2.6kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
BrandOhh-889/skyroc79513 repos~733Automated safety check: PassMIT
Khazix WeChat Article WriterKKKKhazix/khazix-skills21k1 repos~2.9kAutomated safety check: PassMIT
Writing Guidelinesvercel-labs/agent-skills32k7 repos~309Automated safety check: PassNone
Unslop AI Writing Cleanuptheclaymethod/unslop518—~1.7kAutomated safety check: PassMIT

Similar skills

  • Avoid AI Writing

    conorbronsdon/avoid-ai-writing

    Audit and rewrite content to remove AI writing patterns ("AI-isms").

    4.9k GitHub starsUsed in 3 repos~8.1k tokens
    Writing & ContentAuto-check passed
  • Brand

    Ohh-889/skyroc

    Brand voice, visual identity, messaging frameworks, asset management, brand consistency.

    795 GitHub starsUsed in 13 repos~733 tokens
    Writing & ContentAuto-check passed
  • Khazix WeChat Article Writer

    KKKKhazix/khazix-skills

    Writes long-form WeChat official account articles in the personal style of the Khazix account, from briefs, links, PDFs or rough notes, with a topic quality check.

    21k GitHub starsUsed in 1 repo~2.9k tokens
    Writing & ContentAuto-check passed
  • Writing Guidelines

    vercel-labs/agent-skills

    Official

    Review docs/prose for Writing Guidelines compliance. An agent skill from vercel-labs/agent-skills.

    32k GitHub starsUsed in 7 repos~309 tokens
    Writing & ContentAuto-check passed
  • Unslop AI Writing Cleanup

    theclaymethod/unslop

    Removes AI writing tells from prose through an audit-first flow, routing to a two-pass rewrite, a report-only cleanup, voice teaching or mimicry depending on the sub-command used.

    518 GitHub stars~1.7k tokensUpdated 1 mo ago
    Writing & ContentAuto-check passed
  • UX Writing

    content-designer/ux-writing-skill

    Applies UX writing practice to interface copy such as buttons, errors, forms and onboarding, using four quality standards and accessibility guidance.

    224 GitHub starsUsed in 1 repo~3.8k tokens
    Writing & ContentAuto-check passed

More from jwynia/agent-skills

All 111 skills in this repo
  • Devcontainer

    jwynia/agent-skills

    Diagnose devcontainer configuration problems and guide development environment setup.

    170 GitHub stars~1.2k tokensUpdated 7 mo ago
    Auto-check: notes
  • Frontend Design

    jwynia/agent-skills

    Create distinctive, production-grade frontend interfaces with high design quality.

    170 GitHub stars~3.2k tokensUpdated 7 mo ago
    Auto-check passed
  • Gitea Workflow

    jwynia/agent-skills

    Orchestrate agile development workflows for Gitea repositories using the tea CLI.

    170 GitHub stars~3.8k tokensUpdated 7 mo ago
    Auto-check passed
  • Godot Asset Generator

    jwynia/agent-skills

    Generate game assets using AI image generation APIs (DALL-E, Replicate, fal.ai) and prepare them for Godot.

    170 GitHub stars~3.8k tokensUpdated 7 mo ago
    Auto-check passed
  • Mastra Hono

    jwynia/agent-skills

    Develop AI agents, tools, and workflows with Mastra v1 Beta and Hono servers.

    170 GitHub stars~2.9k tokensUpdated 7 mo ago
    Auto-check passed
  • PPTX Generator

    jwynia/agent-skills

    Create and manipulate PowerPoint PPTX files programmatically.

    170 GitHub stars~3.1k tokensUpdated 7 mo ago
    Auto-check passed

Questions about Voice Analysis

What does Voice Analysis do?

Extract and document a writer's distinctive voice patterns for consistent reproduction. Voice Analysis is an agent skill from jwynia/agent-skills. Extract and document a writer's distinctive voice patterns for consistent reproduction.

When should I use Voice Analysis?

Voice Analysis fits situations like: you need to capture writing voice; analyze writing style; create a voice guide; write in someones established style.

How do I install Voice Analysis in Claude Code?

Run `npx skills add jwynia/agent-skills --skill voice-analysis -a claude-code`. Or copy the skill folder (skills/general/writing/analysis/voice-analysis in jwynia/agent-skills) into .claude/skills/voice-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Voice Analysis in Codex?

Run `npx skills add jwynia/agent-skills --skill voice-analysis -a codex`. Or copy the skill folder (skills/general/writing/analysis/voice-analysis in jwynia/agent-skills) into .agents/skills/voice-analysis in your project. Codex loads it when a task matches its description.

Can I use Voice Analysis 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 jwynia/agent-skills --skill voice-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-analysis, .gemini/skills/voice-analysis, .github/skills/voice-analysis and .opencode/skills/voice-analysis in your project.

What does Voice Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Voice Analysis is instructions for the agent only.

Does Voice Analysis 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 Voice Analysis 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. Review the folder before installing.

What licence does Voice Analysis use?

Voice Analysis 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 Voice Analysis use?

About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Voice Analysis?

Skills that share tags, products or a category with Voice Analysis: Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), Brand (Ohh-889/skyroc, 795 stars), Khazix WeChat Article Writer (KKKKhazix/khazix-skills, 21k stars) and Writing Guidelines (vercel-labs/agent-skills, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Analysis?

jwynia (a GitHub user) maintains it in jwynia/agent-skills, which has 170 GitHub stars. The repository holds 111 skills in this directory. The repository was last updated on February 24, 2026.

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