Competitor monitoring

01What is it?
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. Its edge is a particular angle on competitive research, giving the agent tighter constraints than a plain competitor monitoring request.
02Inputs
Context for competitive research: your goals, audience, constraints, and any source material the skill asks for.
03Output
A ready-to-use result for competitive research: the analysis, copy, or recommendations the agent produces.
Paste-ready

Install as a package

Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.

Terminal
$ npx skills add shawnpang/startup-founder-skills --skill competitor-monitoring

Use in Profound

Copy this file into a new Profound Skill. That's it, nothing else to install.

Copy and create in Profound
SKILL.md

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

## 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.

How do I install Competitor monitoring in Cursor, Claude Code, or Codex?

Run npx skills add shawnpang/startup-founder-skills --skill competitor-monitoring in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Competitor monitoring, not every skill in the repository.

Where does Competitor monitoring come from and what license is it under?

Competitor monitoring comes from the shawnpang/startup-founder-skills repository on GitHub. That repository has 255 GitHub stars. The skill is published under the MIT license.

Prefer plain text? Read the Competitor monitoring guide as markdown.