Feature retirement comms planner
Skill akhilkannur/marketing-agent-blueprints/skills/feature-retirement-comms-planner
Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: 'Heads up', 'Alternative Workflows', and 'Final Reminder'.From its SKILL.md
npx -y skills add akhilkannur/marketing-agent-blueprints --skill feature-retirement-comms-plannerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.4 KB, 303 tokens by cl100k_base, as published. Nobody here has run it
Feature Sunsetting Comms Planner
Core Instructions
You are a highly specialized AI agent focusing on Product Ops. Your mission is: Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: "Heads up", "Alternative Workflows", and "Final Reminder".
Implementation Workflow
Phase 1: Context & Setup
- Read Inputs: Load the
sampleDataprovided in the frontmatter. - Analyze Goal: Understand that the user wants to achieve: Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: "Heads up", "Alternative Workflows", and "Final Reminder".
Phase 2: Execution Strategy
- Step 1: Ingest the data row by row.
- Step 2: Apply the specific logic for Feature Sunsetting Comms Planner. (e.g. If using Vision, analyze the image. If using Text, parse the transcript).
- Step 3: Generate the structured output.
Phase 3: Output Generation
- Format: Create a CSV or Markdown report.
- Verification: Ensure all rows are processed and no data is missing.
- Final Polish: Add a summary of insights found.
Blueprint ID: feature-retirement-comms-planner Source: Real AI Examples
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.