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Stakeholder Communication

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Owl-Listener
stakeholder-communication

Communicate accessibility decisions, requirements, and value to stakeholders who aren't accessibility specialists. Use when presenting accessibility work to leadership, product managers, engineers, or anyone who needs to understand why accessibility decisions matter. Triggers on: stakeholder, business case, justify accessibility, explain accessibility, leadership, executive, ROI, why accessibility, cost of accessibility, persuade, convince, accessibility presentation.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill namestakeholder-communication
Stars
108
Forks
28
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Stakeholder Communication 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/Owl-Listener/inclusive-design-skills/tree/main/accessibility-decisions/skills/stakeholder-communication
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/accessibility-decisions/skills/stakeholder-communication .claude/skills/stakeholder-communication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stakeholder Communication 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 Stakeholder Communication 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 Stakeholder Communication 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.

Stakeholder Communication

Communicate accessibility decisions in language that resonates with the person you're talking to — because the right argument depends on who's listening.

Core Principle

Different stakeholders care about different things. The accessibility argument that moves a CFO is not the one that moves an engineer. Match your framing to their priorities.

Stakeholder Frames

For Executives and Leadership

They care about: risk, revenue, reputation, legal exposure.

Frame accessibility as:

  • Risk reduction: "Non-compliance exposes us to legal action. ADA lawsuits increased every year for the past decade. The European Accessibility Act is now in effect."
  • Market size: "15% of the global population has a disability. That's over 1 billion potential users we're currently excluding."
  • Brand reputation: "Accessibility failures become public quickly. Accessibility leadership becomes a differentiator."
  • Cost avoidance: "Fixing accessibility at the design stage costs 10x less than fixing it after launch and 100x less than fixing it after a lawsuit."

For Product Managers

They care about: user satisfaction, completion rates, scope, timeline.

Frame accessibility as:

  • Conversion improvement: "Users who can't complete the flow don't convert. Every accessibility barrier is a drop-off point."
  • User satisfaction: "Accessibility improvements consistently improve satisfaction scores for ALL users, not just those with disabilities."
  • Scope clarity: "Here are the specific acceptance criteria. They're not extra work — they're the definition of done."
  • Competitive advantage: "Our competitors don't do this well. Accessibility is a real differentiator in procurement decisions."

For Engineers

They care about: clarity, specificity, standards, implementation cost.

Frame accessibility as:

  • Clear specifications: "Here's exactly what needs to happen: specific WCAG criteria, specific attributes, specific behaviour."
  • Code quality signal: "Accessible code is well-structured code. Semantic HTML, logical DOM order, and proper state management are engineering best practices regardless of accessibility."
  • Testing criteria: "Here's how to test it: these keyboard sequences, these screen reader announcements, these contrast ratios."
  • Prevention over remediation: "Building it right now is faster than fixing it after QA finds it."

For Designers

They care about: user experience, craft, professional standards.

Frame accessibility as:

  • Design quality: "Accessible design is better design. Clear hierarchy, consistent patterns, plain language, and forgiving interactions improve the experience for everyone."
  • Professional standard: "Accessibility is not a constraint on creativity. It's a design requirement, like responsive design or performance."
  • User empathy: "We design for real people in real contexts. Disability is part of that reality."

Structuring the Conversation

When Asking for Resources

  1. State the specific user problem (not the technical requirement)
  2. Quantify who's affected (numbers, not percentages alone)
  3. Show the fix and its scope (specific, bounded, achievable)
  4. Connect to something they already care about (legal, revenue, brand)

When Pushing Back on Cuts

  1. Name exactly who gets excluded by the cut
  2. State the severity (blocked vs friction)
  3. Offer an alternative scope reduction that doesn't sacrifice accessibility
  4. Document the decision if overruled (this protects everyone)

When Reporting Progress

  • Lead with outcomes: "3 more user groups can now complete checkout"
  • Show before/after: concrete improvements, not abstract compliance
  • Connect to metrics they track: completion rate, support tickets, satisfaction scores
  • Avoid jargon: "users who can't see the screen" not "JAWS users encountering ARIA violations"

Anti-Patterns

  • Leading with compliance alone (feels like box-ticking, not value)
  • Using guilt ("disabled people can't use our product")
  • Being vague ("we need to improve accessibility")
  • Framing as optional ("it would be nice to...")
  • Treating accessibility as a separate project rather than part of quality

Assessment Questions

  1. Can you articulate the accessibility argument in terms each stakeholder cares about?
  2. Are accessibility requirements presented as specific acceptance criteria, not vague aspirations?
  3. Is progress reported in user outcomes, not technical compliance?
  4. When accessibility is deprioritised, is the decision and its impact documented?

Frequently asked questions

What does the Stakeholder Communication AI skill do?

Communicate accessibility decisions, requirements, and value to stakeholders who aren't accessibility specialists. Use when presenting accessibility work to leadership, product managers, engineers, or anyone who needs to understand why accessibility decisions matter. Triggers on: stakeholder, business case, justify accessibility, explain accessibility, leadership, executive, ROI, why accessibility, cost of accessibility, persuade, convince, accessibility presentation.

Why use Stakeholder Communication on TypingMind?

Because you install it once and use it with any model. Stakeholder Communication 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 Stakeholder Communication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/accessibility-decisions/skills/stakeholder-communication. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Stakeholder Communication?

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 Stakeholder Communication?

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

Is the Stakeholder Communication AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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