What data sources are used?

Public social profiles and role metadata; the system uses publicly available signals and respects privacy.

Can the gift budget be adjusted?

Yes. The workflow can target different budgets and still align to hobby signals; adjust in configuration.

What format is the output?

CSV or Markdown report with gift suggestions and outreach notes, depending on the workflow.

Abm Personal Gift Recommender

Scanned

npx machina-cli add skill akhilkannur/marketing-agent-blueprints/abm-personal-gift-recommender --openclaw

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SKILL.md

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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

Read Inputs: Load the sampleData provided in the frontmatter.
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

Step 1: Ingest the data row by row.
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).
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: abm-personal-gift-recommender Source: Real AI Examples

Source

git clone https://github.com/akhilkannur/marketing-agent-blueprints/blob/main/skills/abm-personal-gift-recommender/SKILL.md

View on GitHub

Overview

An ABM focused tool that analyzes a prospect’s public social signals to identify hobbies like Coffee, Golf, or Sci-Fi, then recommends a $50 gift aligned with the hobby. This helps tailor outreach and boost engagement in Marketing Ops campaigns.

How This Skill Works

The system ingests prospect data from public Twitter and LinkedIn signals, extracts hobby indicators, maps those hobbies to curated $50 gift options, and outputs a shareable plan with the gift and outreach notes for personalized outreach.

When to Use It

When building an ABM outreach sequence and want a personalized gift tied to observed hobbies
When a prospect publicly mentions a hobby on social profiles and you want to act on it
When you have a tight budget of around $50 for gifting
When running nurture programs and need consistent, hobby aligned gifts
When preparing a multi-channel outreach that includes a physical or desk gift

Quick Start

Step 1: Collect the prospect's social handles (Twitter/LinkedIn)
Step 2: Run the ABM Gift Recommender to extract hobbies and map to a 50 budget
Step 3: Export the plan and include a tailored outreach message referencing the hobby

Best Practices

Validate social signals before gifting to avoid misinterpretation
Keep gifts to a consistent budget around 50 USD
Choose gifts that scale across prospects and are easy to ship
Craft outreach messaging that references the hobby and gift
Log outcomes to refine hobby mappings and ROI

Example Use Cases

Prospect mentions Coffee; gift idea: a premium coffee sampler set around $50
Prospect posts Golf; gift idea: branded golf ball sleeve within $50
Interest in Sci-Fi; gift idea: sci-fi themed notebook or star map mug near $50
Hobby: Hiking/Outdoors; gift idea: compact multitool or reusable water bottle around $50
No clear hobby detected; fallback gift: versatile desk accessory (notebook or USB hub) under $50

Frequently Asked Questions

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