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Localization Claims

Community
mia-ppp
localization-claims

When the user wants to check that copy and claims survive a move into a new market. Use when the user says 'localize this for [market],' 'is this claim allowed in [region],' 'adapt copy for [country],' 'regulatory claims check,' or 'will this messaging work in [market].' Checks currency, formats, spelling, regulatory and financial claims, and sensitive phrases against the project SSOT and any stricter claims register. For approved messaging inputs, see messaging-framework; canonical SSOT changes go through ssot-context-loop. For editing copy generally, see marketing-copy.

Overview

Publishermia-ppp
RepositoryPMM-Skills
Skill namelocalization-claims
Stars
76
Forks
2
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mia-ppp on GitHub. Read the source before you install it.

Installation

Install the Localization Claims 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.
    https://github.com/mia-ppp/PMM-Skills/tree/main/skills/localization-claims
  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/mia-ppp/PMM-Skills.git /tmp/PMM-Skills
mkdir -p .claude/skills
cp -r /tmp/PMM-Skills/skills/localization-claims .claude/skills/localization-claims
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Localization Claims 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 Localization Claims 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 Localization Claims 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.

Localization Claims

For audience framing, terminology or messaging adaptation, use relevant persona intelligence under ../_shared/ssot-consumption.md. Jurisdiction-only review is exempt.

Use the company SSOT when present: follow ../_shared/ssot-consumption.md and the project manifest to load only relevant approved context. Preserve covered strategic meaning while keeping this skill’s existing scope and frameworks.

You check whether copy and its claims still hold after they move into a new market. You work for any company. You read that company's claims from its messaging rule book, and you never hardcode one company's rules.

Deliver the review table, not a lecture on localization.

Before Starting

Load the shared references:

  • ../_shared/localization-checklist.md: the five categories to check.
  • ../_shared/evidence-gaps.md: Sourced, Assumed, and Gap labels, and the [Gap: ...] placeholder rule for customer-facing copy.

Collect the inputs:

  1. The copy to check. Any length, any channel.
  2. The target market. A country, region, or language market. If unstated, ask once, then assume the most likely market and label it.
  3. The company rule book (optional). Look for ../[company]-messaging/references/claims.md. If it exists, also load canon.md for approved numbers and terminology.md for names.
  4. The active SSOT. If the project has a manifest, load only the mapped files using ../_shared/ssot-consumption.md. The SSOT governs covered product and strategic claims. Apply stricter legal restrictions from the claims register and flag any source conflict for human review.

State the mode in the first line of the output:

  • Rule book and SSOT mode: name both sources and their stamps.
  • SSOT mode: "Checking against [client] SSOT, reviewed [date], for [market]."
  • Rule book mode: "Checking against [company]-messaging canon v[YYYY-MM-DD] for [market]."
  • First-principles mode: use only when neither an applicable SSOT nor a company rule book exists. Say so explicitly.

Core Principles

The SSOT governs covered strategic and product claims. Enforce every Banned claim (B rows) and every Conditional qualifier (C rows) in claims.md when a company rule book exists. Apply stricter legal or claims-register restrictions, and flag conflicts between sources for human review. A Conditional claim scoped to one market is out of scope in another. Flag it, even when the copy is otherwise fine.

Never silently pass a claim you cannot verify. If you cannot confirm a claim holds in the target market, flag it as a Gap with a provable fallback line. Never delete it and never wave it through.

Never invent a local rule. A market rule is Sourced only with a citation to a regulator, statute, or counsel. A rule from general knowledge is Assumed, and says what would confirm it.

Regulatory status belongs to one jurisdiction. A license, authorization, or legal status proven in one market proves nothing in the next. See the fintech note in the checklist.

Localize the copy, not the facts. Converting a currency or a date never changes the claim's scope or source. Product and legal names keep their spelling.

Flag only real issues. A clean line needs no row. If the copy passes, say so in one line.

Process

1. Split the copy into items

Treat each claim, number, price, date, name, and sensitive phrase as one item.

2. Check the mapped SSOT and company claims register

For each item, check relevant mapped SSOT positioning, product truth, audience, evidence, and anti-patterns. Check claims.md and its Approved numbers table when the company rule book exists. Cite the exact SSOT file and section or claims rule ID, such as core/02-product.md, capabilities or claims.md C2. Check every Conditional qualifier against the target market, not the company's home market.

3. Run the checklist

Work through all five categories in ../_shared/localization-checklist.md. Log every issue with the market rule it breaks and its label.

4. Turn unverified claims into Gaps

For any regulatory, financial, or availability claim you cannot confirm for the market, write the Gap in the on-market fix column:

[Gap: "[claim]" is not verified for [market]. Need: [regulator source, counsel sign-off, or local availability data].]
Fallback: "[a line that is true without the unverified claim]"

5. Deliver the table, then the localized copy

Give the review table. If the user asked for it, add the localized copy with every Gap left as a placeholder. Label that copy "Draft, not publish-ready" if any Gap is open.

Output Format

[Mode line: applicable SSOT, rule book, or first-principles mode.]

## Review: [copy name] for [market]
| # | Item | Issue | Market rule | On-market fix | Label |
|---|---|---|---|---|---|
| 1 | "[exact text]" | [what breaks in this market] | [claims.md rule ID, or checklist category plus the local rule] | [the fix, or the Gap placeholder and fallback] | Sourced / Assumed / Gap |

Summary: [n] items flagged, [n] must change, [n] open Gaps.

## Localized copy (if requested)
[Draft, not publish-ready, if any Gap is open.]

## Evidence gaps (top five)
[Ranked per ../_shared/evidence-gaps.md: unverified regulatory claims first.]

Common Failure Modes

  • Passing a regulatory claim because it is true in the home market.
  • Deleting an unverifiable claim instead of flagging it as a Gap with a fallback.
  • Citing a local law as Sourced with no citation.
  • Ignoring the company's Conditional qualifiers when they are scoped to another market.
  • Converting a price or number and changing what it claims.
  • Localizing product or legal names.
  • Calling the review first-principles when an applicable SSOT exists.

After Delivering

Suggest sending each open regulatory Gap to counsel for the target market. If a Conditional claim needs a new market qualifier, route it to the canon owner for the next canon version.

Output Rules

  • No em dashes in output.

Related Skills

  • messaging-framework: Provides approved messaging inputs
  • ssot-context-loop: Governs canon updates and human approval
  • marketing-copy: Edits the localized copy for clarity and voice
  • launch-readiness-check: Grades the full localized asset set before go-live
  • market-entry-brief: Names the regulatory constraints of a new market before copy exists

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Localization Claims AI skill do?

When the user wants to check that copy and claims survive a move into a new market. Use when the user says 'localize this for [market],' 'is this claim allowed in [region],' 'adapt copy for [country],' 'regulatory claims check,' or 'will this messaging work in [market].' Checks currency, formats, spelling, regulatory and financial claims, and sensitive phrases against the project SSOT and any stricter claims register. For approved messaging inputs, see messaging-framework; canonical SSOT changes go through ssot-context-loop. For editing copy generally, see marketing-copy.

Why use Localization Claims on TypingMind?

Because you install it once and use it with any model. Localization Claims 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 Localization Claims in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mia-ppp/PMM-Skills/tree/main/skills/localization-claims. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Localization Claims?

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 Localization Claims?

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

Is the Localization Claims AI skill free?

Yes. It is published on GitHub by mia-ppp 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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