Battlecard System Skill

SkillAI & models

Use to standardize competitive positioning, objection handling, and talk

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Battlecard System Skill skill

What this skill tells your AI

The instructions your AI receives, as published by criptogus/agent-evolve-network in .claude/skills/battlecard-system/SKILL.md and read by ahel’s review.

When to Use

  • Launching new competitive programs or product updates.
  • Training teams ahead of major deals or campaigns.
  • Refreshing differentiators based on win/loss analysis.

Framework

  1. Competitive Intel – capture strengths, weaknesses, proof, and trigger signals per competitor.
  2. Messaging Pillars – align headline, supporting proof, and objection responses.
  3. Delivery Format – deck, one-pager, LMS module, and short-form scripts.
  4. Distribution & Access – tag assets, set expiration dates, and embed in enablement tools.
  5. Feedback Loop – collect field feedback, update win/loss data, and refresh quarterly.

Templates

  • Battlecard layout (overview, talk track, objections, proof points).
  • Objection handling matrix.
  • Competitive win/loss capture form.

Tips

  • Keep “permission to win” statements crisp; avoid feature dumping.
  • Include audio/video snippets from top performers.
  • Align with legal/product teams before publishing sensitive data.

Signals

GitHub stars
308
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
battlecard-system
Source
github.com/criptogus/agent-evolve-network