Agent skill

Battlecard Generator

by gooseworks-ai in gooseworks-ai/goose-skills

Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine…

MITAuto-check passedSales & Support

Install Battlecard Generator

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill battlecard-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills battlecard-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-intel/composites/battlecard-generator .claude/skills/battlecard-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
battlecard-generator
GitHub stars
1.2k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
508 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine…

  • Works in 4 steps: Intake → Competitor Research → Competitive Analysis → …
  • Sales needs competitive ammo
  • SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Competitor Research and Phase 2: Competitive Analysis, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Battlecard Generator is an agent skill from gooseworks-ai/goose-skills. Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Sales & Support, covering Competitor analysis and Sales enablement. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Sales needs competitive ammo
  • Entering a new market with established incumbents

Example prompts

  • “/battlecard-generator”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Intake
  2. Competitor Research
  3. Competitive Analysis
  4. Output — Battlecard

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Battlecard Generator loads about 2.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 508 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 508 words, ~2,285 tokens.

Download SKILL.mdSave it as .claude/skills/battlecard-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
battlecard-generator
description
Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.
tags
competitive-intel

Battlecard Generator

Research a competitor from every public angle — website, reviews, ads, social, pricing — and produce a structured sales battlecard. The output is what a rep opens 5 minutes before a competitive deal.

Built for: PMMs building competitive programs without a dedicated competitive intel team. The battlecard should be opinionated, not a neutral feature comparison.

When to Use

  • "Build a battlecard against [competitor]"
  • "We keep losing deals to [competitor] — help me understand why"
  • "What are [competitor]'s weaknesses we can exploit?"
  • "Prep the sales team for competitive deals against [competitor]"
  • "Research [competitor] and give me competitive positioning"

Phase 0: Intake

  1. Your product name + URL
  2. Competitor name + URL — One competitor per battlecard (focused > broad)
  3. Deal context — Where do you compete? (same ICP, upmarket/downmarket, different use case?)
  4. Known win/loss signals — Any patterns from deals you've won or lost against them?
  5. Sales team size — Are reps technical or business-focused? (affects language level)
  6. Existing positioning — Your one-line positioning vs this competitor (if any)

Phase 1: Competitor Research

1A: Website & Messaging Analysis
Fetch: [competitor] homepage, pricing page, about page, product page
Search: "[competitor]" "we help" OR "the only" OR "unlike"
Search: "[competitor]" case study OR customer story

Extract:

  • Hero claim — their primary positioning
  • Category — what category do they place themselves in?
  • Target audience — who do they say they serve?
  • Key features emphasized — what do they lead with?
  • Social proof — customer logos, metrics, quotes
  • Pricing structure — plans, pricing model, enterprise vs self-serve
1B: Review Intelligence
Search: "[competitor]" site:g2.com OR site:capterra.com
Search: "[competitor]" reviews "switched from" OR "moved to"

From reviews, extract:

  • Top 5 praised features (their moat — don't compete here directly)
  • Top 5 complaints (your attack angles)
  • Switching signals — why do customers leave?
  • ICP patterns — what roles/company sizes review them?
1C: Ad & Content Analysis
Search: "[competitor]" advertisement OR sponsored
Search: "[competitor]" vs OR alternative OR compare

Extract:

  • Ad messaging — what claims do they pay to promote?
  • Comparison pages — have they published "us vs X" pages?
  • Content themes — what topics do they create content around?
1D: Social & Community Signals
Search: "[competitor]" site:reddit.com OR site:twitter.com complaints OR issues
Search: "[competitor]" "looking for alternative" OR "anyone use"

Extract:

  • Common frustrations discussed publicly
  • Feature requests their users are vocal about
  • Sentiment patterns — do users love or tolerate them?
Show full SKILL.md (201 more words)Show less
1E: Pricing Deep Dive
Fetch: [competitor] pricing page
Search: "[competitor]" pricing OR cost OR "how much"

Map their pricing:

  • Model: Per seat / usage-based / flat rate / hybrid
  • Tiers: What's in each tier?
  • Free tier: What's included? What's gated?
  • Enterprise: Custom pricing? What triggers enterprise sales?
  • Hidden costs: Implementation, overages, add-ons?

Phase 2: Competitive Analysis

Strengths & Weaknesses Matrix
DimensionThemUsNet
[Feature area 1][Rating + context][Rating + context]Win/Lose/Tie
[Feature area 2].........
Pricing.........
Ease of use.........
Support.........
Integrations.........
Where We Win (lead with these)
  1. [Strength] — [Evidence from research]
  2. [Strength] — [Evidence]
  3. [Strength] — [Evidence]
Where We Lose (don't engage here)
  1. [Weakness] — [Mitigation strategy]
  2. [Weakness] — [How to reframe]
Where It's Close (differentiate on narrative)
  1. [Area] — [How to position the tie as a win]

Phase 3: Output — Battlecard

markdown
# Battlecard: [Your Product] vs [Competitor]
Last updated: [DATE] | Confidence: [High/Medium — based on data freshness]

---

## Quick Reference (The 30-Second Version)

**They say:** "[Their positioning headline]"
**We say:** "[Our counter-positioning]"
**We win when:** [Deal profile where we have advantage]
**We lose when:** [Deal profile where they have advantage]
**Best opening move:** "[Question or statement to frame the deal]"

---

## Competitor Overview

| | [Competitor] |
|---|---|
| **Founded** | [Year] |
| **Funding** | [Amount / stage] |
| **Headcount** | [Estimate] |
| **Target market** | [Who they serve] |
| **Pricing** | [Model + range] |
| **Category** | [How they position] |

---

## Positioning Traps

Questions to ask early in the deal that frame the evaluation in your favor:

1. **"[Question that highlights your strength]"**
   → If they say [X], you win because [reason]
   → If they say [Y], pivot to [angle]

2. **"[Question that exposes competitor weakness]"**
   → Their answer will likely be [X], which reveals [limitation]

3. **"[Question about a capability they lack]"**
   → They can't do this. When the prospect asks them, it plants doubt.

---

## Landmine Questions

Drop these casually — they'll come up when the prospect evaluates the competitor:

- "Have you asked [competitor] about [specific limitation]?"
- "When you evaluate [competitor], make sure to test [area where they're weak]."
- "One thing worth checking: [competitor] pricing can get expensive once you [usage trigger]."

---

## Objection Handling

### "Why shouldn't we just go with [Competitor]?"
> "[Direct response — acknowledge their strength, pivot to your differentiation]"

### "[Competitor] has more features / is more established"
> "[Response — focus on what matters for this buyer's use case, not feature count]"

### "[Competitor] is cheaper"
> "[Response — reframe on total cost, hidden costs, or value per dollar]"

### "[Competitor] has [big customer logo]"
> "[Response — your relevant social proof + why logo != fit]"

### "We're already using [Competitor]"
> "[Response — switching cost vs cost of staying, what's changed]"

---

## Feature Comparison (Honest Assessment)

| Capability | Us | [Competitor] | Verdict |
|-----------|-----|-------------|---------|
| [Feature 1] | [Status + context] | [Status + context] | [Who wins + why] |
| [Feature 2] | ... | ... | ... |
| [Feature 3] | ... | ... | ... |
| Pricing transparency | ... | ... | ... |
| Onboarding speed | ... | ... | ... |
| Support quality | ... | ... | ... |

---

## Their Customers Say (From Reviews)

### What they love (don't fight these):
- "[Quote from review]" — [Platform, Role]
- "[Quote]" — ...

### What they hate (exploit these):
- "[Quote from negative review]" — [Platform, Role]
- "[Quote]" — ...
- "[Quote]" — ...

---

## Pricing Comparison

| | Us | [Competitor] |
|---|---|---|
| **Entry price** | [$/mo] | [$/mo] |
| **Mid-tier** | [$/mo] | [$/mo] |
| **Enterprise** | [Custom / $X] | [Custom / $X] |
| **Free tier** | [What's included] | [What's included] |
| **Hidden costs** | [None / list] | [Implementation, overages, etc.] |

**Pricing attack angle:** [How to frame pricing comparison favorably]

---

## Win Themes (What Wins Deals)

Based on competitive patterns:
1. **[Theme]** — "[Proof point or quote]"
2. **[Theme]** — ...
3. **[Theme]** — ...

## Loss Themes (What Loses Deals)

Be aware — we tend to lose when:
1. **[Pattern]** — Mitigation: [strategy]
2. **[Pattern]** — Mitigation: [strategy]

---

## Quick Responses for Email/Chat

**When prospect mentions [competitor]:**
> "[2-sentence response for email or Slack]"

**When asked for a comparison:**
> "[3-sentence elevator pitch vs competitor]"

Save to clients/<client-name>/product-marketing/battlecards/vs-[competitor-slug]-[YYYY-MM-DD].md.

Cost

ComponentCost
Web researchFree
Review mining (optional, via review-site-scraper)~$0.50-1.00
Ad analysis (optional, via ad scrapers)~$0.50-1.00
All analysis and battlecard generationFree (LLM reasoning)
TotalFree — $2

Tools Required

  • web_search — for competitor research
  • fetch_webpage — for site analysis
  • Optional: review-site-scraper for G2/Capterra mining
  • Optional: google-ad-scraper for ad intelligence, web_search against Meta Ad Library for Meta ads

Trigger Phrases

  • "Build a battlecard against [competitor]"
  • "Competitive intel on [competitor]"
  • "Run the battlecard generator for [competitor]"
  • "Help me win deals against [competitor]"

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/competitive-intel/composites/battlecard-generator of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Battlecard Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Battlecard Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Battlecard Generator this skillgooseworks-ai/goose-skills1.2k1 repos~2.3kAutomated safety check: PassMIT
Sales Enablement Kitaaron-he-zhu/aaron-marketing-skills2.9k—~3.3kAutomated safety check: PassApache-2.0
Battlecardsgrowthack88/growth-marketing-os116—~2.4kAutomated safety check: PassMIT
Competitive Battlecardphuryn/pm-skills27k—~721Automated safety check: PassMIT
Gtm Competitive Battlecard Writercriptogus/agent-evolve-network288—~551Automated safety check: PassCC-BY-SA-4.0
Competitive Intelligencew95/awesome-claude-corporate-skills244—~3.1kAutomated safety check: PassMIT

Similar skills

  • Sales Enablement Kit

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "build battle cards", "prep the sales team for launch", or "write the internal launch FAQ"; produces the internal enablement kit for a sales-led launch…

    2.9k GitHub stars~3.3k tokensUpdated yesterday
    Sales & SupportAuto-check passed
  • Battlecards

    growthack88/growth-marketing-os

    Creates competitive battlecards for sales deal conversations.

    116 GitHub stars~2.4k tokensUpdated 8 days ago
    Sales & SupportAuto-check passed
  • Competitive Battlecard

    phuryn/pm-skills

    Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns.

    27k GitHub stars~721 tokensUpdated yesterday
    Sales & SupportAuto-check passed
  • Gtm Competitive Battlecard Writer

    criptogus/agent-evolve-network

    Writes seller-ready battlecards: positioning, traps, landmines, objection handling, and proof points.

    288 GitHub stars~551 tokensUpdated 2 days ago
    Sales & SupportAuto-check passed
  • Competitive Intelligence

    w95/awesome-claude-corporate-skills

    Research your competitors and build an interactive battlecard.

    244 GitHub stars~3.1k tokensUpdated 7 mo ago
    Sales & SupportAuto-check passed
  • Afrexai Competitive Intel

    LeoYeAI/openclaw-master-skills

    Complete competitive intelligence system — market mapping, product teardowns, pricing intel, win/loss analysis, battlecards, and strategic monitoring.

    2.2k GitHub stars~4.7k tokensUpdated 2 mo ago
    Sales & SupportAuto-check passed

More from gooseworks-ai/goose-skills

All 273 skills in this repo
  • Reddit Post Finder

    gooseworks-ai/goose-skills

    Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~1.2k tokens
    Auto-check passed
  • Create Image Fal

    gooseworks-ai/goose-skills

    Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.

    1.2k GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Render Hook Replacement

    gooseworks-ai/goose-skills

    Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Blog Feed Monitor

    gooseworks-ai/goose-skills

    Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.

    1.2k GitHub starsUsed in 1 repo~578 tokens
    Auto-check passed
  • Competitor Post Engagers

    gooseworks-ai/goose-skills

    Find leads by scraping engagers from a competitor's top LinkedIn posts.

    1.2k GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check: notes
  • Render Chatgpt Chat

    gooseworks-ai/goose-skills

    Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Questions about Battlecard Generator

What does Battlecard Generator do?

Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine…. Battlecard Generator is an agent skill from gooseworks-ai/goose-skills. Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes.

When should I use Battlecard Generator?

Battlecard Generator fits situations like: sales needs competitive ammo; entering a new market with established incumbents.

How do I install Battlecard Generator in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill battlecard-generator -a claude-code`. Or copy the skill folder (skills/competitive-intel/composites/battlecard-generator in gooseworks-ai/goose-skills) into .claude/skills/battlecard-generator in your project. Claude Code loads it when a task matches its description.

How do I install Battlecard Generator in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill battlecard-generator -a codex`. Or copy the skill folder (skills/competitive-intel/composites/battlecard-generator in gooseworks-ai/goose-skills) into .agents/skills/battlecard-generator in your project. Codex loads it when a task matches its description.

Can I use Battlecard Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill battlecard-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/battlecard-generator, .gemini/skills/battlecard-generator, .github/skills/battlecard-generator and .opencode/skills/battlecard-generator in your project.

What does Battlecard Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Battlecard Generator is instructions for the agent only.

Does Battlecard Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Battlecard Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Battlecard Generator use?

Battlecard Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Battlecard Generator use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Battlecard Generator?

Skills that share tags, products or a category with Battlecard Generator: Sales Enablement Kit (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Battlecards (growthack88/growth-marketing-os, 116 stars), Competitive Battlecard (phuryn/pm-skills, 27k stars) and Gtm Competitive Battlecard Writer (criptogus/agent-evolve-network, 288 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Battlecard Generator?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.