matteotitta
Registry indexed
tov-guidelines
Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone
Overview
Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone attributes with before and after examples, a We are / We are not table, tone by context, vocabulary to use and avoid, and open questions. Triggers: "tone of voice", "brand voice", "voice guidelines", "writing style guide", "extract voice from our website", "TOV". Not for visual identity (use /brand-kit) or messaging (use /messaging).
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TOV guidelines
Find out how a company actually writes, then write that down as rules specific enough that a new writer, or an AI, sounds like them on the first draft. Two phases with a review in between: first the evidence, then the guidelines.
When to use it
- Building the context folder, before any copy or content work.
- Starting a content program, or onboarding writers or AI tools.
- When content has drifted, or the existing guide is more than six months old.
Don't use it for colours and fonts (/brand-kit), for what to say (/messaging), or when the user only wants a one-line description of the voice.
Inputs
Required: the company website URL. It needs a homepage and at least 5 to 10 pages of real content. If it's thin, say so and flag the sample size in the output.
Optional: founder notes or transcripts, an existing style guide to update, context/icp/ for the reader, context/expert-pov/ for the founder's own voice.
Paths. Write context/brand/MMYY-tov-analysis.md (Phase 1) and context/brand/MMYY-tov-guidelines.md (Phase 2). Agency or consultant? Swap context/ for clients/<client>/context/ throughout.
Tools. Page fetching for the site. Web search with a site filter helps collect founder posts. Exa or Firecrawl are fine if you have them.
Phase 1: analysis
-
Pick the pages. Homepage, about or values, 3 to 5 blog posts, 2 to 3 case studies, pricing, FAQ, a landing page. Aim for 15 to 20.
-
Sentence patterns: average length, first or third person, questions, imperatives.
-
Paragraph patterns: length, how they open, where evidence sits.
-
Word patterns: the company's own terms, the customer's terms, words they avoid, how often they use modifiers.
-
Structure patterns: sentence or title case headers, CTA wording and placement, how they stack proof.
-
Score frequency.
- High: 80% of pages or more.
- Medium: 40 to 79%.
- Low: under 40%.
- Conflict: pages contradict each other.
Show the count ("5 of 6 pages").
-
Map voice by content type. Person, formality and CTA style for homepage, blog, case study and pricing.
-
Collect real examples for each pattern. Use real sentences only, never invented ones.
-
Flag inconsistencies and gaps, with the questions you'd ask the founder.
-
Review gate. The user confirms the patterns, corrects anything wrong and answers the gap questions. Don't start Phase 2 without this.
Phase 2: guidelines
- Apply the feedback and resolve each inconsistency.
- Write the core guide:
- who reads it
- 3 to 5 tone attributes, each with a before and after rewrite
- vocabulary to use and avoid
- structure templates for the main content types
- We are / We are not table. 5 to 8 rows, each backed by Phase 1 evidence.
- Tone by context. How the voice shifts for these contexts:
- cold outreach
- nurture email
- objection handling
- sales follow-up
- support reply
- case study
- social post
- Tone by reader emotion. How to write to someone frustrated, sceptical, excited or rushed.
- AI writing tells to avoid. At least five patterns that would make this brand sound machine-written, shown with the brand's own fix. Examples: generic praise openers, three short parallel sentences, "it's not X, it's Y" contrasts, filler transitions, closing on "what do you think?".
- Optional sections, only when they apply:
- hard questions answered: security, pricing, a big competitor. Mark these draft until the founder approves.
- product microcopy, for companies with a product UI.
- AI assistant voice, for companies with a chatbot.
- Open questions. At least three, each saying what it unblocks.
- Source every rule to a page, or mark it "TBD, needs founder input".
What good looks like
- At least 15 pages read, with findings in every pattern category.
- Frequencies are counts, never "usually" or "often".
- No adjective-only rules. "Friendly" isn't a guideline; "use 'you' in the first sentence of every page" is.
- Every example is real text from the site.
- A writer could pick the right tone for a support reply without asking anyone.
Mistakes to avoid
- Writing the voice you wish they had instead of the one they have. Note the gap; don't paper over it.
- Skipping the review gate.
- Copying another company's style guide structure and filling it with adjectives.
- Rules so vague any brand could use them.
Chain
Step 6 of the suggested chain: /company-context → /icp-research → /competitor-research → /win-loss → /expert-pov → tov-guidelines → /brand-kit → /positioning → /messaging → /funnel-strategy → /goals.
File metadata
name: tov-guidelines description: >- Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone attributes with before and after examples, a We are / We are not table, tone by context, vocabulary to use and avoid, and open questions. Triggers: "tone of voice", "brand voice", "voice guidelines", "writing style guide", "extract voice from our website", "TOV". Not for visual identity (use /brand-kit) or messaging (use /messaging). version: '1.0.0' license: MIT
View original text
---
name: tov-guidelines
description: >-
Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can
follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with
frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone attributes with
before and after examples, a We are / We are not table, tone by context, vocabulary to use and avoid,
and open questions. Triggers: "tone of voice", "brand voice", "voice guidelines", "writing style
guide", "extract voice from our website", "TOV". Not for visual identity (use /brand-kit) or messaging
(use /messaging).
version: '1.0.0'
license: MIT
---
# TOV guidelines
Find out how a company actually writes, then write that down as rules specific enough that a new writer, or an AI, sounds like them on the first draft. Two phases with a review in between: first the evidence, then the guidelines.
## When to use it
- Building the context folder, before any copy or content work.
- Starting a content program, or onboarding writers or AI tools.
- When content has drifted, or the existing guide is more than six months old.
Don't use it for colours and fonts (`/brand-kit`), for what to say (`/messaging`), or when the user only wants a one-line description of the voice.
## Inputs
**Required:** the company website URL. It needs a homepage and at least 5 to 10 pages of real content. If it's thin, say so and flag the sample size in the output.
**Optional:** founder notes or transcripts, an existing style guide to update, `context/icp/` for the reader, `context/expert-pov/` for the founder's own voice.
**Paths.** Write `context/brand/MMYY-tov-analysis.md` (Phase 1) and `context/brand/MMYY-tov-guidelines.md` (Phase 2). Agency or consultant? Swap `context/` for `clients/<client>/context/` throughout.
**Tools.** Page fetching for the site. Web search with a site filter helps collect founder posts. Exa or Firecrawl are fine if you have them.
## Phase 1: analysis
1. **Pick the pages.** Homepage, about or values, 3 to 5 blog posts, 2 to 3 case studies, pricing, FAQ, a landing page. Aim for 15 to 20.
2. **Sentence patterns:** average length, first or third person, questions, imperatives.
3. **Paragraph patterns:** length, how they open, where evidence sits.
4. **Word patterns:** the company's own terms, the customer's terms, words they avoid, how often they use modifiers.
5. **Structure patterns:** sentence or title case headers, CTA wording and placement, how they stack proof.
6. **Score frequency.**
- High: 80% of pages or more.
- Medium: 40 to 79%.
- Low: under 40%.
- Conflict: pages contradict each other.
Show the count ("5 of 6 pages").
7. **Map voice by content type.** Person, formality and CTA style for homepage, blog, case study and pricing.
8. **Collect real examples** for each pattern. Use real sentences only, never invented ones.
9. **Flag inconsistencies and gaps**, with the questions you'd ask the founder.
10. **Review gate.** The user confirms the patterns, corrects anything wrong and answers the gap questions. Don't start Phase 2 without this.
## Phase 2: guidelines
1. **Apply the feedback** and resolve each inconsistency.
2. **Write the core guide:**
- who reads it
- 3 to 5 tone attributes, each with a before and after rewrite
- vocabulary to use and avoid
- structure templates for the main content types
3. **We are / We are not table.** 5 to 8 rows, each backed by Phase 1 evidence.
4. **Tone by context.** How the voice shifts for these contexts:
- cold outreach
- nurture email
- objection handling
- sales follow-up
- support reply
- case study
- social post
5. **Tone by reader emotion.** How to write to someone frustrated, sceptical, excited or rushed.
6. **AI writing tells to avoid.** At least five patterns that would make this brand sound machine-written, shown with the brand's own fix. Examples: generic praise openers, three short parallel sentences, "it's not X, it's Y" contrasts, filler transitions, closing on "what do you think?".
7. **Optional sections**, only when they apply:
- hard questions answered: security, pricing, a big competitor. Mark these draft until the founder approves.
- product microcopy, for companies with a product UI.
- AI assistant voice, for companies with a chatbot.
8. **Open questions.** At least three, each saying what it unblocks.
9. **Source every rule** to a page, or mark it "TBD, needs founder input".
## What good looks like
- At least 15 pages read, with findings in every pattern category.
- Frequencies are counts, never "usually" or "often".
- No adjective-only rules. "Friendly" isn't a guideline; "use 'you' in the first sentence of every page" is.
- Every example is real text from the site.
- A writer could pick the right tone for a support reply without asking anyone.
## Mistakes to avoid
- Writing the voice you wish they had instead of the one they have. Note the gap; don't paper over it.
- Skipping the review gate.
- Copying another company's style guide structure and filling it with adjectives.
- Rules so vague any brand could use them.
## Chain
Step 6 of the suggested chain: `/company-context` → `/icp-research` → `/competitor-research` → `/win-loss` → `/expert-pov` → **tov-guidelines** → `/brand-kit` → `/positioning` → `/messaging` → `/funnel-strategy` → `/goals`.
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Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- AI review approval is missing
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 19 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- matteotitta/repo-structure-in-house
- License
- MIT
- Version
- 1.0.0
- Last GitHub push
- Oct 14, 2026
- Registry updated
- Oct 14, 2026
- Instruction path
- .claude/skills/tov-guidelines/SKILL.md @ 4016985f52ad
Version reported in registry metadata; check source releases before relying on it.
Quality
59/100
Promising
Trust
69/100
Sandbox only
Audit
78/100
Risky
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- AI review approval is missing
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 19 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "matteotitta-tov-guidelines",
"task": "Use tov-guidelines in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/matteotitta-tov-guidelines",
"api": "https://www.openagentskill.com/api/agent/skills/matteotitta-tov-guidelines",
"audit": "https://www.openagentskill.com/skills/matteotitta-tov-guidelines/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=matteotitta-tov-guidelines&task=Use%20tov-guidelines%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20tov-guidelines%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20tov-guidelines%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/matteotitta-tov-guidelines/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/matteotitta-tov-guidelines"
}
}For the creator
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- Creator
- matteotitta
- Indexed by
- OpenAgentSkill community index
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