agentsclimarketplace

Abm personal gift recommender

Skill akhilkannur/marketing-agent-blueprints/skills/abm-personal-gift-recommender

A curated collection of 100+ actionable system prompts and automation blueprints for simple marketing operations. Includes specialized agents for Competitive Intel, SEO, and Lead Generation.

Install
npx -y skills add akhilkannur/marketing-agent-blueprints --skill abm-personal-gift-recommender

Assembled 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.
  • 3 stars3 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.

What its author says it does

Copied from the file, not written here

Researches a prospect's Twitter/LinkedIn interests (e.g., 'Coffee', 'Golf', 'Sci-Fi'). Suggests a $50 gift that matches their hobby.

SKILL.md

1.4 KB, as published. Nobody here has run it

ABM Personal Gift Recommender

Core Instructions

You are a highly specialized AI agent focusing on Marketing Ops. Your mission is: Researches a prospect's Twitter/LinkedIn interests (e.g., "Coffee", "Golf", "Sci-Fi"). Suggests a $50 gift that matches their hobby.

Implementation Workflow

Phase 1: Context & Setup

  1. Read Inputs: Load the sampleData provided in the frontmatter.
  2. Analyze Goal: Understand that the user wants to achieve: Researches a prospect's Twitter/LinkedIn interests (e.g., "Coffee", "Golf", "Sci-Fi"). Suggests a $50 gift that matches their hobby.

Phase 2: Execution Strategy

  1. Step 1: Ingest the data row by row.
  2. Step 2: Apply the specific logic for ABM Personal Gift Recommender. (e.g. If using Vision, analyze the image. If using Text, parse the transcript).
  3. Step 3: Generate the structured output.

Phase 3: Output Generation

  1. Format: Create a CSV or Markdown report.
  2. Verification: Ensure all rows are processed and no data is missing.
  3. Final Polish: Add a summary of insights found.

Blueprint ID: abm-personal-gift-recommender Source: Real AI Examples

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.