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Stakeholder Requirements Gathering

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nimrodfisher
stakeholder-requirements-gathering

Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.

Overview

Publishernimrodfisher
Repositorydata-analytics-skills
Skill namestakeholder-requirements-gathering
Stars
493
Forks
87
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Stakeholder Requirements Gathering 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/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/stakeholder-requirements-gathering
  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/nimrodfisher/data-analytics-skills.git /tmp/data-analytics-skills
mkdir -p .claude/skills
cp -r /tmp/data-analytics-skills/05-stakeholder-communication/stakeholder-requirements-gathering .claude/skills/stakeholder-requirements-gathering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stakeholder Requirements Gathering 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 Requirements Gathering 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 Requirements Gathering 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.

When to use

At the start of any non-trivial analysis request, especially when the ask is vague ("can you look into X?"), when multiple stakeholders have a stake in the outcome, or when the result will drive an important decision. Spending 30 minutes on requirements prevents days of rework.

Process

  1. Run the intake interview — use the question guide in assets/interview_guide.md to surface: the business decision being made, who the audience is, what "done" looks like, and what constraints exist.
  2. Identify the decision type — apply references/decision_maker_framework.md to classify the decision (strategic / operational / tactical) and calibrate the required rigour and format.
  3. Document requirements — fill in assets/requirements_doc_template.md covering: business question, success criteria, scope inclusions/exclusions, data sources, and timeline.
  4. Resolve ambiguities — use the elicitation techniques in references/elicitation_techniques.md for any requirement still unclear after the interview (5-whys, scenario walkthrough, MoSCoW prioritisation).
  5. Get explicit sign-off — send the requirements doc to the requestor for confirmation before starting work; update based on feedback.
  6. Produce the analysis brief — convert approved requirements into assets/analysis_brief_template.md, which becomes the authoritative scope document for the project.

Inputs the skill needs

  • Stakeholder's initial request (however vague)
  • Name and role of primary requestor and any other stakeholders
  • Proposed deadline or urgency level

Output

  • Completed requirements doc (requirements_doc_template.md)
  • Analysis brief ready to hand to the analyst (analysis_brief_template.md)
  • Interview notes (optional, for complex projects)

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 Stakeholder Requirements Gathering AI skill do?

Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.

Why use Stakeholder Requirements Gathering on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nimrodfisher/data-analytics-skills/tree/main/05-stakeholder-communication/stakeholder-requirements-gathering. 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 Stakeholder Requirements Gathering?

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 Requirements Gathering?

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

Is the Stakeholder Requirements Gathering AI skill free?

Yes. It is published on GitHub by nimrodfisher 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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