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Competitor Tracking

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jonathimer
competitor-tracking

Systematic competitor analysis for developer tools. Track features, pricing, positioning, content strategy, and community sentiment for direct and indirect competitors. Trigger phrases: "competitor analysis", "track competitors", "competitive intelligence", "competitor research", "what are competitors doing", "competitive landscape", "competitor features", "competitor pricing", "battlecard", "competitive battlecard", "compete against", "vs [competitor]"

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill namecompetitor-tracking
Stars
87
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Competitor Tracking 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.
  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/jonathimer/devmarketing-skills.git /tmp/devmarketing-skills
mkdir -p .claude/skills
cp -r /tmp/devmarketing-skills/skills/competitor-tracking .claude/skills/competitor-tracking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Tracking 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 Competitor Tracking 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 Competitor Tracking 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.

Competitor Tracking

Systematic framework for tracking competitors in the developer tools space, from identification through ongoing monitoring and battlecard creation.

Overview

Competitor tracking for developer tools requires monitoring multiple dimensions: product features, pricing, developer sentiment, content strategy, community growth, and funding/trajectory. Unlike consumer products, developer tools compete on technical merit, documentation quality, and community trust.

Effective competitor tracking helps you:

  • Understand your competitive positioning
  • Anticipate competitor moves
  • Arm sales and marketing with accurate battlecards
  • Identify market gaps and opportunities
  • Learn from competitor successes and failures

Competitor Identification

Types of Competitors

Direct Competitors:

  • Same category, same target developer
  • Solve the same core problem
  • Would appear in the same "best X tools" lists
  • Example: If you're a CI/CD tool, other CI/CD tools

Indirect Competitors:

  • Adjacent categories that overlap with your use case
  • Might be expanding into your space
  • Developers might use instead of your category
  • Example: GitHub Actions competing with standalone CI tools

DIY Alternatives:

  • Open source tools developers self-host
  • Custom scripts and internal tooling
  • "Just use bash scripts" or "build it yourself"
  • Often your biggest competitor by volume

Platform Alternatives:

  • Cloud provider native services (AWS, GCP, Azure equivalents)
  • All-in-one platforms that include your functionality
  • Enterprise suite solutions

Competitive Landscape Mapping

Create a competitive landscape document with:

  1. Competitor profiles - Company, product, target market, positioning
  2. Feature matrix - Core features compared across competitors
  3. Pricing comparison - Tiers, pricing model, enterprise pricing signals
  4. Strengths/weaknesses - Honest assessment of each competitor
  5. Trajectory - Funding, growth signals, strategic direction

What to Track

Product and Features

Track weekly/monthly:

  • Changelog and release notes
  • New feature announcements
  • Pricing changes
  • Integration announcements
  • API changes
  • SDK/library updates

How to track:

  • Subscribe to competitor newsletters
  • Follow their GitHub releases
  • Monitor their Twitter/blog
  • Set up monitoring alerts for "[competitor] launch" "[competitor] announces"

Pricing and Packaging

Key signals:

  • Pricing page changes (use archive.org to track history)
  • New tier introductions
  • Enterprise/custom pricing signals
  • Free tier changes
  • Usage-based vs seat-based shifts

Competitive pricing intelligence:

  • What's included in free tier?
  • Where are the upgrade triggers?
  • How do they handle overages?
  • What's the enterprise motion?

Positioning and Messaging

Track changes in:

  • Homepage headline and hero
  • "Who it's for" positioning
  • Primary use cases emphasized
  • Comparison pages (how they position against others)
  • Case studies and social proof

Analyze:

  • What problem do they lead with?
  • What audience are they targeting?
  • What's their unique angle?
  • How are they different from 6 months ago?

Content Strategy

Monitor:

  • Blog post frequency and topics
  • Documentation quality and coverage
  • Video/tutorial content
  • Conference talks and sponsorships
  • Developer education initiatives

Look for:

  • SEO plays (what keywords are they targeting?)
  • Content gaps you can exploit
  • Successful content formats to learn from

Community and Traction

GitHub signals:

  • Stars/forks growth rate
  • Issue volume and response time
  • Contributor growth
  • Release frequency

Community signals:

  • Discord/Slack member counts
  • Forum activity
  • Stack Overflow tag activity
  • Reddit mention frequency

Developer Sentiment Monitoring

Setting Up Competitor Monitoring

Use social listening tools to track developer sentiment toward competitors across platforms. Set up alerts for:

  • Competitor brand mentions
  • Negative sentiment toward competitors (opportunity signals)
  • Comparison queries ("[competitor] vs")

Key Sentiment Signals

Churn signals:

  • "Migrating away from [competitor]"
  • "Looking for [competitor] alternative"
  • "Frustrated with [competitor]"
  • "Canceling [competitor]"

Praise signals (learn from them):

  • "Love [competitor]'s [feature]"
  • "[Competitor] just works"
  • "Best part of [competitor] is..."

Feature gaps:

  • "Wish [competitor] had..."
  • "[Competitor] doesn't support..."
  • "Waiting for [competitor] to add..."

Competitive Sentiment Analysis

Use your monitoring tool's analytics for trend analysis:

  • Mention volume for competitors over 90 days
  • Sentiment distribution: positive vs negative
  • Co-mentions where competitor and your brand appear together

Building Competitive Battlecards

Battlecard Structure

Create battlecards for sales and marketing teams:

1. Competitor Overview

  • Company background
  • Target market
  • Key value proposition
  • Recent news/trajectory

2. When We Win

  • Scenarios where you have advantage
  • Customer types that prefer you
  • Use cases you excel at
  • Proof points and case studies

3. When We Lose

  • Scenarios where competitor has advantage
  • What to watch out for
  • How to mitigate their strengths

4. Common Objections

  • "But [competitor] has [feature]"
  • "[Competitor] is cheaper"
  • "[Competitor] is more established"
  • Response frameworks for each

5. Competitive Differentiation

  • Key technical differences
  • Pricing comparison
  • Support/service differences
  • Community/ecosystem differences

6. Landmines to Set

  • Questions to ask that favor you
  • Requirements that highlight your strengths
  • Evaluation criteria that matter

Keeping Battlecards Fresh

Update triggers:

  • Competitor launches major feature
  • Competitor changes pricing
  • You ship something that changes the comparison
  • Sales team reports new objections
  • Win/loss analysis reveals new patterns

Review cadence:

  • Major competitors: monthly review
  • Minor competitors: quarterly review
  • Emerging competitors: as needed

Responding to Competitor Moves

When to Respond

Always respond:

  • Competitor makes false claims about you
  • Competitor targets your specific customers
  • Major market shift that affects positioning

Consider responding:

  • Competitor launches feature you have
  • Competitor enters your core market
  • Competitor's crisis creates opportunity

Usually don't respond:

  • Minor feature parity announcements
  • Competitor's internal issues (unless affects their customers)
  • Petty competitive shots

Response Playbooks

Feature launch response:

  1. Assess: Do we have parity? Better? Gap?
  2. Internal communication to sales/support
  3. Update battlecards if needed
  4. Consider content response (blog, comparison page update)
  5. Monitor developer conversations for context

Pricing change response:

  1. Analyze impact on competitive positioning
  2. Update pricing comparison materials
  3. Brief sales team
  4. Consider if pricing adjustment needed
  5. Monitor churn/acquisition impact

Crisis opportunity response:

  1. Don't be sleazy or pile on
  2. Be helpful to affected users if appropriate
  3. Create migration content if there's genuine demand
  4. Let your product speak for itself

Tools

Social Listening

Use monitoring tools to set up alerts for these patterns:

  • Competitor sentiment overview (last 30 days, by sentiment)
  • Churn signals: "alternative OR migrating OR switching" + competitor name
  • Feature gaps: "wish OR need OR missing" + competitor name
  • Comparison mentions: "[competitor] vs"

Other Tools

GitHub Monitoring:

bash
# Track competitor repo activity
gh api repos/[competitor]/[repo] --jq '.stargazers_count, .open_issues_count'

# Search for competitor mentions in issues
gh search issues "[competitor]" --limit 50

npm/PyPI Monitoring:

  • Track download trends for competitor packages
  • Monitor version release frequency
  • Watch for new packages in their ecosystem

Archive.org:

  • Track historical changes to competitor websites
  • Document pricing changes over time
  • Capture positioning shifts

LinkedIn/Careers:

  • Track hiring patterns
  • Identify strategic direction from job postings
  • Monitor team growth signals

Related Skills

  • developer-listening - Broader monitoring beyond just competitors
  • alternatives-pages - Turn competitive intelligence into content
  • positioning - Differentiate based on competitive insights

Frequently asked questions

What does the Competitor Tracking AI skill do?

Systematic competitor analysis for developer tools. Track features, pricing, positioning, content strategy, and community sentiment for direct and indirect competitors. Trigger phrases: "competitor analysis", "track competitors", "competitive intelligence", "competitor research", "what are competitors doing", "competitive landscape", "competitor features", "competitor pricing", "battlecard", "competitive battlecard", "compete against", "vs [competitor]"

Why use Competitor Tracking on TypingMind?

Because you install it once and use it with any model. Competitor Tracking 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 Competitor Tracking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jonathimer/devmarketing-skills/tree/main/skills/competitor-tracking. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Tracking?

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 Competitor Tracking?

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

Is the Competitor Tracking AI skill free?

Yes. It is published on GitHub by jonathimer 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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