stakeholder-ask-ranker 0.1.0

Local CLI and desktop app for ranking messy stakeholder asks into a focused delivery queue.

Stakeholder Ask Ranker

Stakeholder Ask Ranker turns pasted stakeholder requests, meeting scraps, and planning notes into a prioritized delivery queue. It runs locally as a CLI or a small Tkinter desktop app.

It is useful when product, support, sales, and leadership asks arrive in different formats and someone needs a quick first pass before grooming the work.

Install

python3 -m pip install stakeholder-ask-ranker

CLI

stakeholder-ask-ranker examples/stakeholder-notes.txt
stakeholder-ask-ranker examples/stakeholder-notes.txt --format json
stakeholder-ask-ranker examples/stakeholder-notes.txt --format csv --output queue.csv

The CLI also reads from stdin:

pbpaste | stakeholder-ask-ranker --format markdown

Desktop App

stakeholder-ask-ranker-gui

Paste notes, rank the queue, switch between Markdown, JSON, and CSV, then copy or save the result.

Optional Planning Briefs

For a short LLM-generated planning brief, choose a provider and set the matching environment variable:

OPENAI_API_KEY=... stakeholder-ask-ranker examples/stakeholder-notes.txt --llm openai
ANTHROPIC_API_KEY=... stakeholder-ask-ranker examples/stakeholder-notes.txt --llm anthropic
stakeholder-ask-ranker examples/stakeholder-notes.txt --llm ollama --model llama3.1

Provider calls are opt-in. Ranking works without network access or API keys.

What It Scores

• Value signals such as customer, revenue, compliance, incident, and renewal risk
• Urgency signals such as today, tomorrow, urgent, blocked, deadline, and before launch
• Named requester, owner, stakeholder, due date, and impact fields
• Effort hints such as copy, report, dashboard, workflow, integration, migration, and rewrite
• Confidence based on how complete the ask is

Development

python3 -m pytest
python3 -m build --no-isolation
python3 -m twine check dist/*

License

MIT