Individual skill
battlecards
Creates competitive battlecards for sales deal conversations. Produces win themes, landmines to plant, objection handlers, and competitive positioning per competitor. Outputs a structured markdown battlecard with quick-reference sections for live sales calls. Depends on competitor-research for competitive intelligence and consumes product-messaging, win-loss-analysis, and positioning for framing. Feeds into sales-deck, outreach-emails, and demo-script. Triggered by "battlecard", "competitive intel", "win against [competitor]", or "how do we beat [competitor]".
skills/community/battlecards/SKILL.md
Source commit c7852deefb3cd90029f02d328b9e59cea39ef585
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 129
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-marketing Repository topic
- arabic Repository topic
- chatgpt-prompts Repository topic
- claude-skills Repository topic
- cro Repository topic
- custom-gpt Repository topic
- geo Repository topic
- growth Repository topic
- growth-hacking Repository topic
- marketing Repository topic
- sales Derived category
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SKILL.mdcore · 9,653 bytesSKILL.mdcore · 9,653 bytesreferences/auto-update.mddoc · 2,074 bytesreferences/battlecard-template.mddoc · 5,407 bytesreferences/process.mddoc · 11,667 bytesreferences/quality.mddoc · 3,670 bytes
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<!--
COMMUNITY SKILL — included under its original MIT license.
Source: https://github.com/matteotitta/genesys-skills by Matteo Titta (MIT).
License text: ../LICENSE-genesys-skills.txt
Curated into Growth Marketing OS by Mahmoud Omar (mahmoudomar.com) — this file
is NOT original work by the repo author; see /skills/community/README.md.
-->
# Battlecards
Quick-reference competitive intelligence battlecards for live sales conversations. Designed to be scanned in 30 seconds during a call. Supports batch generation for multiple competitors with confidence-level sourcing on every claim.
The body of this file holds decision-grade context (when to invoke, inputs, structure, anti-hallucination guardrails, gotchas). Step-by-step process, output template, quality gates, and feedback loops live in `references/`.