Best use case
apollo-prospecting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Apollo.io prospecting and engagement data integration
Teams using apollo-prospecting should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/apollo-prospecting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How apollo-prospecting Compares
| Feature / Agent | apollo-prospecting | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Apollo.io prospecting and engagement data integration
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Apollo Prospecting ## Overview The Apollo Prospecting skill provides integration with Apollo.io for prospecting, contact database access, email sequence engagement metrics, and buying intent signals. This skill combines data enrichment with sales engagement capabilities for streamlined outbound workflows. ## Capabilities ### Contact Database Search - Search Apollo's extensive contact database - Filter by company, title, industry, and location - Access verified email addresses - Export contacts for outreach campaigns ### Sequence Engagement Metrics - Track email open and click rates - Monitor reply rates by sequence and template - Analyze optimal send times - Measure sequence completion rates ### Intent Signals - Access buying intent data - Track account engagement scores - Monitor content consumption patterns - Identify sales-ready accounts ### Account Scoring - Leverage Apollo's account scoring algorithms - Prioritize accounts by fit and intent - Track score changes over time - Combine with custom scoring models ## Usage ### Prospecting Campaign ``` Build a targeted prospect list based on ICP criteria and enroll them in an appropriate outreach sequence. ``` ### Engagement Analysis ``` Analyze sequence performance to identify best-performing messages and optimal engagement patterns. ``` ### Account Prioritization ``` Score and prioritize accounts based on combined fit and intent signals for focused outreach. ``` ## Enhances Processes - lead-routing-assignment - lead-qualification-scoring ## Dependencies - Apollo.io subscription with API access - Email integration for sequence tracking - CRM sync configuration
Related Skills
apollo-server
Apollo Server configuration, plugins, caching, federation, and performance optimization.
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.
observe
Observe, inspect, or monitor a Babysitter run.
model
Inspect or change Babysitter model-routing policy by phase.