objection-handling

31 stars 7 forks
28
D

Use when preparing responses to prospect objections during outbound, discovery, or follow-up conversations.

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Also in: api

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install gtmagents/gtm-agents/objection-handling
skilz install gtmagents/gtm-agents/objection-handling --agent opencode
skilz install gtmagents/gtm-agents/objection-handling --agent codex
skilz install gtmagents/gtm-agents/objection-handling --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/gtmagents/gtm-agents
2. Copy the agent skill directory:
cp -r gtm-agents/plugins/sales-prospecting/skills/objection-handling ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Repository
gtm-agents
Stars
31
Forks
7
Type
Non-Technical
Meta-Domain
development
Primary Domain
github
Market Score
28

Agent Skill Grade

D
Score: 69/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
18/30
Ease of Use
19/25
Writing Style
7/10
Utility
14/20
Modifiers: -1

Areas to Improve

  • Missing Reference Files
  • Incomplete Templates
  • No Validation Steps

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I've been digging into objection-handling skills lately, and yours caught my eye for how it approaches the response patterns—though I'm curious about some gaps in the coverage that might be keeping the score at 69. What made you structure the triggers the way you did?

Links:

The TL;DR

You're at 69/100, solidly in D territory—which means the core concept is there, but execution needs work. This is based on Anthropic's skill best practices, and your strongest area is Spec Compliance (12/15), but Ease of Use and Progressive Disclosure are dragging things down. The framework is solid, but the supporting materials feel half-baked.

What's Working Well

  • Strong spec compliance – Your frontmatter is clean and valid, naming convention is correct. The skill hooks cleanly into the system.
  • Real problem solved – The LACE framework addresses an actual pain point for SDRs and AEs dealing with prospect pushback. It's not theoretical fluff.
  • Clear trigger focus – "Preparing responses to prospect objections" is specific enough that developers know when to reach for this. You nailed that part.

The Big One: Missing Reference Files

This is your biggest drag on the score (costing you ~6 points). You mention a "common objection table," "battlecard snippets," and "micro case studies" in the Templates section, but they don't actually exist. Everything is crammed into one file with no references directory.

Here's the fix: Create a references/ subdirectory with three files:

  • references/objection-table.md – Full table with 6-8 real objections (budget, timing, competitive, already evaluating, etc.) mapped to LACE diagnosis + recommended response
  • references/battlecards.md – One complete batt...

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