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Ux Content Strategy

Community
peterbamuhigire
ux-content-strategy

Use when planning, governing, or upgrading product content as a system - voice charts, content-first design, UI text patterns, form completion gates, error taxonomy, content measurement, decision communication, lifecycle narrative, and content operations. Higher-level orchestration above tactical microcopy and form mechanics.

Overview

Publisherpeterbamuhigire
Repositorychwezi-dev-engine
Skill nameux-content-strategy
Stars
29
Forks
6
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Ux Content Strategy 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/peterbamuhigire/chwezi-dev-engine/tree/main/skills/frontend-ux/ux-content-strategy
  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/peterbamuhigire/chwezi-dev-engine.git /tmp/chwezi-dev-engine
mkdir -p .claude/skills
cp -r /tmp/chwezi-dev-engine/skills/frontend-ux/ux-content-strategy .claude/skills/ux-content-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Content Strategy 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 Ux Content Strategy 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 Ux Content Strategy 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.

UX Content Strategy

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use When

  • Defining or refreshing product voice, tone-shift rules, and content principles for a product or feature family.
  • Designing a flow where content drives layout (onboarding, recovery, churn-risk, premium upgrades, complex forms).
  • Establishing a content measurement framework tied to completion, comprehension, error reduction, conversion, trust, and support deflection.
  • Communicating a content decision to skeptical stakeholders or capturing agreement after debate.
  • Planning a 30 / 60 / 90-day content operation across multiple surfaces, locales, or teams.

Do Not Use When

  • The task is a single string of microcopy with an established voice and clear pattern - use ux-writing directly.
  • The task is form layout, field grouping, input types, or validation mechanics - use form-ux-design directly.
  • The request is a one-line stakeholder reply that needs no decision rationale capture.

Required Inputs

  • Product purpose, audience segments, and the user state(s) the content must serve (first use, mastery, error, churn-risk, win-back).
  • Existing voice or content guidance, brand constraints, regulatory or legal copy requirements, locale list.
  • The surface(s) involved (screen, form, email, notification, system message) and the metric the content is expected to move.
  • Stakeholder map: who decides, who reviews, who has veto.

Workflow

  • Read this SKILL.md first. Pull only the references you need for the current decision.
  • Decide whether the task is strategic (voice, measurement, lifecycle) or tactical (a string, a field, an error). If tactical, hand off to ux-writing or form-ux-design.
  • For any new flow: write the content brief before the wireframe. Layout decisions follow content, not the reverse. See references/content-first-design-workflow.md.
  • For any new product or sub-product without a voice chart: build one before approving copy. See references/voice-chart-construction.md.
  • For any UI text decision: pick the pattern from references/ui-text-patterns-library.md, not from instinct.
  • For any error: classify (system / user / environment), then apply the recovery formula in references/error-state-taxonomy-and-recovery.md.
  • For any form: apply input reduction and engagement gates from references/form-completion-gates.md before writing labels.
  • Set the metric and baseline using references/content-measurement-framework.md before content ships, or the change is unmeasurable.
  • Communicate the decision using the framing in references/design-decision-communication.md and capture explicit agreement.
  • For lifecycle content (onboarding through win-back), apply the narrative arc and peak/end placement in references/product-narrative-arcs.md.

Quality Standards

  • Every content decision names: the user state it serves, the metric it moves, the voice principle it enforces, and the alternative it rejected.
  • Voice attributes are observable in the copy. If a stakeholder cannot point to the word that proves "warm" or "expert," the chart is decorative.
  • Tone shifts by user state, not by writer mood. Same product, different moments, predictable shift.
  • Errors tell the user what happened, why, and the next move - in that order, in user language, without blame.
  • No content ships without a measurement plan: baseline, target, time window, sampling rule.
  • Stakeholder agreements are recorded in writing with the date, the alternatives considered, and the trade-off accepted.

Anti-Patterns

  • Writing copy onto a finished wireframe and calling it content design.
  • Voice charts that list adjectives nobody can disprove ("friendly," "professional," "human").
  • Apologetic system errors that hide cause and offer no next step.
  • Form labels rewritten in isolation while the field still asks for data the business does not need now.
  • "We measured engagement" used as a substitute for completion, comprehension, error rate, or trust signals.
  • Carrying a content debate by seniority instead of by evidence, then re-litigating it three sprints later.
  • Treating onboarding as the only narrative moment and ignoring recovery, mastery, and win-back.

Outputs

  • Voice chart with tone-shift table, content principles, and worked examples per user state.
  • Content brief(s) preceding wireframes, with success metric, voice principle, user state, and copy boundary.
  • UI text decisions traceable to a pattern in the library.
  • Error taxonomy with recovery copy formulas and escalation paths.
  • Content measurement plan: metric, baseline, target, instrumentation, review cadence.
  • Decision log entries (decision -> reason -> evidence -> alternatives -> trade-off -> agreement).
  • Lifecycle narrative map with peak/end moments identified per persona.
  • 30 / 60 / 90-day content operations plan when scope warrants.

Evidence Produced

CategoryArtifactFormatExample
UX qualityUX content strategy and voice chartMarkdown with voice principles, UI patterns, and audience rulesdocs/ux/content-strategy.md
CorrectnessUI text QA checklistMarkdown checklist covering buttons, labels, errors, empty states, and confirmationsdocs/ux/ui-text-qa.md
PerformanceForm completion gateMarkdown or CSV with friction, validation timing, and completion metricsdocs/ux/form-completion-gate.md
Release evidenceContent measurement planMarkdown plan with metrics, owners, review cadence, and change logdocs/ux/content-measurement.md

References

  • references/voice-chart-construction.md - deriving voice attributes and the tone-shift table.
  • references/content-first-design-workflow.md - content brief template and the content-first protocol.
  • references/ui-text-patterns-library.md - rules for label, button, error, empty, loading, confirm, notification.
  • references/form-completion-gates.md - input reduction logic, gradual engagement, inline validation copy.
  • references/error-state-taxonomy-and-recovery.md - error categories, recovery formulas, escalation copy.
  • references/content-measurement-framework.md - metrics tied to content goals, baseline-to-target.
  • references/design-decision-communication.md - rationale framing, objection handling, agreement capture.
  • references/product-narrative-arcs.md - lifecycle stories, peak/end moments, persona-aware narrative.
  • Use ux-writing for tactical microcopy execution once strategy is set.
  • Use form-ux-design for form mechanics, field selection, and validation behavior.

Derived from Metts and Welfle (2020) Strategic Writing for UX, Wroblewski (2008) Web Form Design: Filling in the Blanks, Greever (2020) Articulating Design Decisions, 2nd ed., and Parrish (2020) Storytelling in Design.

When To Invoke Companion Skills

SituationSkill
Voice exists, you need a single button or empty state stringux-writing
Form layout, field count, input type, validation behaviorform-ux-design
New product, new sub-product, or voice drift across teamsthis skill, then ux-writing
Error rate or completion rate is the target metricthis skill, then form-ux-design and ux-writing
Stakeholder has rejected copy three timesthis skill - see design-decision-communication.md

Decision Gates

  • Voice gate: No copy ships for a new product surface until the voice chart and at least one tone-shift row exist.
  • Content-first gate: No high-stakes flow goes to visual design until a content brief is approved.
  • Measurement gate: No content change is "done" until baseline, target, and review date are recorded.
  • Decision gate: No revisited debate is reopened without new evidence; the decision log is the source of truth.
  • Narrative gate: No lifecycle program ships without identifying its peak and end moments per persona.

Operating Cadence

Inputs

ArtifactProduced byRequired?Why
Product purpose, audience, and critical flowsProduct brief or researchrequiredAnchors voice and content priorities
Current interface copy and performance evidenceRepository and analyticsoptionalReveals drift and measurable failure points

Capability contract

Read and search current product copy and approved research first. Editing requires authorisation; do not publish copy or alter production content without explicit approval.

Degraded mode

If product copy, research, or metrics are unavailable, return a provisional brief, list needed evidence, and avoid claiming that decisions are validated.

  • Weekly: review content tickets against voice and pattern library; flag drift.
  • Monthly: review measurement dashboard against targets; retire content that fails to move its metric.
  • Quarterly: refresh voice chart only if evidence shows the audience or product purpose has shifted; otherwise leave it alone.
  • Per release: confirm error taxonomy coverage for new failure modes introduced by the release.

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 Ux Content Strategy AI skill do?

Use when planning, governing, or upgrading product content as a system - voice charts, content-first design, UI text patterns, form completion gates, error taxonomy, content measurement, decision communication, lifecycle narrative, and content operations. Higher-level orchestration above tactical microcopy and form mechanics.

Why use Ux Content Strategy on TypingMind?

Because you install it once and use it with any model. Ux Content Strategy 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 Ux Content Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/frontend-ux/ux-content-strategy. 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 Ux Content Strategy?

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 Ux Content Strategy?

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

Is the Ux Content Strategy AI skill free?

Yes. It is published on GitHub by peterbamuhigire 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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