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Battlecards

Community
growthack88
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]".

Overview

Publishergrowthack88
Repositorygrowth-marketing-os
Skill namebattlecards
Stars
125
Forks
25
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by growthack88 on GitHub. Read the source before you install it.

Installation

Install the Battlecards AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/battlecards
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git /tmp/growth-marketing-os
mkdir -p .claude/skills
cp -r /tmp/growth-marketing-os/skills/community/battlecards .claude/skills/battlecards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Battlecards in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Battlecards on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Battlecards is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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/.


Claude Code triggers

Invoke this skill when user says:

  • "Create battlecard for [competitor]"
  • "Competitive battlecard"
  • "How to win against [competitor]"
  • "Competitive intel for sales"
  • "Battlecards for [product]"
  • "Sales battlecard"
  • "Counter-positioning against [competitor]"
  • "Competitive one-pager" (if focus is on win/lose scenarios)

Do NOT invoke when:

  • User wants deep competitor research → Use /competitor-research skill
  • User wants sales deck → Use /sales-deck skill
  • User wants demo script → Use /demo-script skill
  • User wants competitive feature comparison only → Use /competitor-research skill

Input requirements

Required inputs

InputDescriptionSource
Competitor name(s)Which competitor(s) to create battlecards forUser specifies
Your product contextWhat you sell, key capabilitiesUser, product-messaging, or URL

Optional inputs (improve quality)

InputHow it helps
competitor-research outputPre-researched intel (funding, features, positioning)
win-loss-analysis outputWhen we win/lose patterns with evidence
Product messagingCounter-positioning based on your value props
Positioning contextStrategic anchors for competitive framing
Competitor URLsFor live research if no prior research exists
Sales call transcriptsReal objections and competitive mentions

Input validation checklist

Before proceeding, verify:

  • Competitor(s) confirmed
  • Your product's key differentiators known
  • At least one intel source available (research, URL, or docs)

If inputs are missing: Ask which competitor(s). Offer to run competitor-research first if no intel available.


Process at a glance

PhasePurposeOutput
1. Competitor selectionConfirm scope (single vs batch)Confirmed competitor list
2. Intel gatheringPull from research + win-loss + web researchIntel dossier per competitor
3. Battlecard generationFill template, add confidence levels, write talk tracks + landminesDraft battlecard(s)
4. Validation & deliveryVerify sources, format for deliveryFinal battlecard(s)

Full step-by-step (with checkpoints, confidence framework, workflow sequences, GDrive export commands) in references/process.md.


Battlecard structure (decision-grade)

Every battlecard contains these sections — in this order, no exceptions:

  1. Quick facts — Founded, funding, employees, target market, pricing model, starting price (side-by-side table)
  2. When we win — 3 specific scenarios + verbatim customer proof point
  3. When we lose — 2+ honest losing scenarios + mitigation actions
  4. Their pitch — Verbatim competitor language + key claims
  5. Counter-positioning — Scripted "when they say X, we say Y" responses
  6. Feature comparison — Honest table with winner-per-row
  7. Landmines to plant — 3+ discovery questions that expose competitor weaknesses
  8. Objection handling — Common objections with proof-pointed responses
  9. Red flags — When to walk away (qualification-out criteria)
  10. Sources — Every claim with URL + access date + confidence

Full template with field-level guidance in references/battlecard-template.md. Output wrapper format and iteration prompts in references/auto-update.md.


Anti-hallucination guardrails

Critical for sales credibility:

  1. Never invent competitor claims. Only use verified data with sources.
  2. Never fabricate customer quotes. Verbatim only or mark "[PLACEHOLDER: need customer quote]".
  3. Never guess competitor pricing. Use verified data or mark "[CONFIRM: pricing]".
  4. Mark confidence levels on all competitive intel (High/Medium/Low/UNVERIFIED).
  5. Cite sources for all factual claims with access dates.
  6. Acknowledge gaps rather than fill with plausible content.
  7. Be honest about weaknesses. "When we lose" builds credibility with sales team.

Gotchas

  • Fabricated competitor pricing: Invents pricing tiers when pricing page is gated or not found → Mark pricing as [UNAVAILABLE] and note where to find it (sales call, demo request). Never guess.
  • Generic objection handlers: Produces "we're more reliable" instead of specific counter-arguments → Every objection handler must reference a concrete differentiator or proof point.
  • Missing landmines: Only covers strengths, forgets to include questions that expose competitor weaknesses → Landmines are the most valuable section for sales reps. 3-5 questions per competitor minimum.
  • Stale competitive data: Uses old competitor positioning without checking current website → Always scrape competitor website at time of battlecard creation. Note access date.

Integration with other skills

Upstream skills (provide inputs)

SkillWhat it providesRequired?
competitor-researchCompany facts, positioning, features, pricingRecommended
win-loss-analysisWin/loss patterns, objections, proof pointsRecommended
product-messagingYour value props for counter-positioningRecommended
positioningStrategic competitive anchorsOptional

Downstream skills (consume outputs)

SkillHow it uses battlecards
sales-deckDifferentiation slide content
demo-scriptObjection handling during demos
outreach-emailsCompetitive displacement email content

Reference files

FilePurpose
references/process.md4-phase runbook + flowchart + confidence framework + workflow sequences
references/battlecard-template.mdComplete battlecard structure with field-level examples
references/quality.mdPre-delivery checklist + self-evaluation protocol + anti-examples
references/auto-update.mdOutput wrapper, iteration prompts, feedback signal detection, pattern rules

MCP data integration

Level: 2 — PM Execution (inherits upstream, no unique pulls)

Inherits from: competitor-research, win-loss-analysis, product-messaging

Pulls fresh: NONE — all data comes from upstream. Battlecards synthesize existing competitor research and win-loss patterns.

Fallback (no MCP): Use competitor-research and win-loss-analysis outputs directly. If upstream skills haven't run, trigger them first before running battlecards.


Changelog

VersionDateChanges
1.02026-02-06Initial skill creation. Extracted from sales-enablement with dedicated process, confidence framework, batch support, and Google Docs/PDF export
1.12026-05-01Slim refactor: extracted process, quality, and auto-update protocol to references/ (Phase 4.5.1.C)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Battlecards AI skill do?

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]".

Why use Battlecards on TypingMind?

Because you install it once and use it with any model. Battlecards is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Battlecards in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/battlecards. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Battlecards?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Battlecards?

As many as you like. As long as a model supports skills, you can use Battlecards with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Battlecards AI skill free?

Yes. It is published on GitHub by growthack88 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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