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Competitor Monitoring

Community
shawnpang
competitor-monitoring

When the user wants to set up ongoing tracking of competitor activity — pricing changes, feature launches, hiring signals, content, or public mentions. Also use when the user mentions "track competitors", "what are competitors doing", "competitor alerts", or "market watch".

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill namecompetitor-monitoring
Stars
368
Forks
43
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 shawnpang on GitHub. Read the source before you install it.

Installation

Install the Competitor Monitoring 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/shawnpang/startup-founder-skills/tree/main/skills/competitor-monitoring
  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/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/competitor-monitoring .claude/skills/competitor-monitoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Monitoring 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 Monitoring 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 Monitoring 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 Monitoring

When to Use

  • Founder wants to know when competitors change pricing, ship features, or raise funding
  • Founder wants a recurring "what changed this week" scan of competitor activity
  • Founder wants to detect strategic shifts from competitor job postings, blog posts, or product updates
  • Founder wants to stay informed without manually checking 10 websites daily

This is the recurring sibling of competitive-analysis (one-time deep dive). Use this skill for ongoing monitoring, not initial research.

Context Required

  • List of 3-7 competitors to track (names, websites, product URLs)
  • What the founder cares about most (pricing, features, positioning, hiring, funding, content)
  • Monitoring frequency (weekly recommended for early-stage, biweekly for established markets)
  • The founder's own positioning (to flag threats and opportunities)

Workflow

  1. Define the monitoring surface — for each competitor, identify what to watch:
    • Pricing page — plan changes, new tiers, free plan adjustments
    • Changelog / release notes — new features, deprecations, platform shifts
    • Job postings — engineering roles signal product direction, sales roles signal GTM shifts, exec hires signal strategy changes
    • Blog / content — new positioning, case studies (reveal target customers), thought leadership pivots
    • Social media — founder posts, company announcements, community reactions
    • Review sites — new reviews on G2, Capterra, Trustpilot (sentiment shifts)
    • Funding / press — Crunchbase alerts, press releases, media coverage
  2. Set up the monitoring stack — recommend tools and manual checks:
    • Automated: Google Alerts (brand mentions), Visualping or ChangeTower (page change detection), Crunchbase alerts (funding), LinkedIn job alerts
    • Manual weekly scan: pricing pages, changelogs, recent blog posts, latest job postings
    • Quarterly deep dive: full competitive-analysis refresh
  3. Run the scan — check all sources for the monitoring period and flag changes.
  4. Analyze signals — for each change detected:
    • What changed (factual description)
    • What it signals (interpretation — are they moving upmarket? entering your segment? struggling with churn?)
    • Threat level (none / watch / respond / urgent)
    • Recommended action (if any)
  5. Generate the report — produce a concise weekly/biweekly competitor intel brief.

Output Format

markdown
## Competitor Intel Brief — Week of [Date]

### Summary
[1-2 sentence overview: "Quiet week. Competitor A shipped a free tier. No pricing changes elsewhere."]

### Changes Detected

**[Competitor A]**
- **What changed:** [factual description]
- **Signal:** [what this likely means strategically]
- **Threat level:** [None / Watch / Respond / Urgent]
- **Recommended action:** [what to do, if anything]

**[Competitor B]**
- No changes detected this period.

### Job Posting Signals
| Competitor | New Roles | Signal |
|-----------|-----------|--------|
| [A] | 3 enterprise AEs, VP Sales | Moving upmarket |
| [B] | ML engineer, data scientist | Building AI features |

### Emerging Patterns
- [Pattern observed across multiple competitors or over time]

### Action Items
- [ ] [Specific action for the founder]

Frameworks & Best Practices

Reading job postings as strategy signals:

Role TypeWhat It Signals
Enterprise AEs / Sales EngineersMoving upmarket or launching enterprise tier
DevRel / Community ManagerInvesting in developer ecosystem or community-led growth
ML/AI EngineersBuilding AI features or data products
International roles / specific geoExpanding to new markets
Product Marketing ManagerRepositioning or launching new product lines
Head of PartnershipsPlatform/ecosystem strategy
Lots of support hiresScaling fast or struggling with quality

Threat level framework:

  • None: Routine activity, no impact on you
  • Watch: Interesting move, could affect you in 3-6 months — add to next strategy discussion
  • Respond: Directly affects your positioning, pricing, or target market — needs a plan within 2 weeks
  • Urgent: Launches directly competing feature, undercuts your pricing, or targets your exact ICP — needs immediate response

Common mistakes:

  • Monitoring too many competitors (pick 3-5, not 15)
  • Reacting to every move instead of identifying patterns
  • Confusing competitor activity with competitor success (they shipped a feature — doesn't mean it works)
  • Ignoring indirect competitors and new entrants
  • Not archiving snapshots (you'll want to see how their pricing page looked 6 months ago)

Related Skills

  • competitive-analysis — for the initial deep dive and periodic refresh
  • daily-product-digest — for broader market monitoring beyond specific competitors
  • review-mining — for tracking competitor sentiment on review platforms
  • market-research — for understanding market shifts driving competitor behavior

Examples

Prompt: "Set up competitor monitoring for our 4 main competitors in the email marketing space."

Good output includes: Monitoring surface for each competitor (pricing pages, changelogs, job boards, blogs), recommended tool stack for automated alerts, and a template for the weekly intel brief.

Prompt: "What have our competitors been up to this week?"

Good output includes: Scan of changelogs, pricing pages, blog posts, job postings, and social accounts for each tracked competitor. Flagged changes with signal interpretation and threat levels. Actionable summary.

Frequently asked questions

What does the Competitor Monitoring AI skill do?

When the user wants to set up ongoing tracking of competitor activity — pricing changes, feature launches, hiring signals, content, or public mentions. Also use when the user mentions "track competitors", "what are competitors doing", "competitor alerts", or "market watch".

Why use Competitor Monitoring on TypingMind?

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

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

Which AI models can use Competitor Monitoring?

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 Monitoring?

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

Is the Competitor Monitoring AI skill free?

Yes. It is published on GitHub by shawnpang 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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