Firecrawl Competitive Intel
FirecrawlOfficialCreated by firecrawl
- Skill
- Content generator
- Business and productivity
- ISC
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Firecrawl Competitive Intel provides a systematic approach to tracking competitor activity. It automates the collection of data from pricing pages, feature lists, and changelogs, organizing the findings into a structured report that includes comparative matrices and actionable insights. The skill is designed to handle recurring monitoring tasks, ensuring that users stay informed about market shifts through consistent, source-backed intelligence gathering.
What it does
- Automates the extraction of pricing tiers and feature sets from competitor websites.
- Monitors changelogs, blogs, and documentation for product updates.
- Generates structured competitive intelligence reports with cross-competitor comparisons.
- Provides a standardized format for tracking changes over time.
- Supports parallel data collection for multiple competitors or focus areas.
When to use it
- When you need to track competitor pricing changes on a recurring basis.
- When performing a feature gap analysis against multiple market rivals.
- When you need to maintain an up-to-date repository of competitor product updates.
- When you require structured data output for competitive benchmarking.
Advantages
- Reduces manual effort in monitoring multiple competitor sources.
- Ensures consistent data collection through a defined workflow.
- Provides clear source attribution for every data point collected.
- Facilitates easy diffing of competitor changes across different time periods.
Usage examples
- “Monitor the pricing and feature updates for our top three competitors in the CRM space weekly.”
- The agent will initiate a recurring workflow to scrape the specified CRM competitors, extract current pricing tiers and recent feature additions, and compile a comparative report.
- “Check if any of our competitors have updated their changelogs or released new features this month.”
- The agent will crawl the provided competitor documentation and blog pages, identifying new entries and summarizing the changes in a structured format.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/firecrawl/firecrawl-competitive-intel/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip firecrawl-competitive-intel.zip -d .agents/skills
Documentation by firecrawl
Firecrawl Competitive Intel
Use this for monitoring competitors over time. This is not the broad competitor analysis workflow.
Onboarding Interview
Infer competitors, focus, cadence, and output format from context. If competitors are clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the competitor list, focus area, or whether authenticated pages/profiles are required.
Firecrawl Collection Plan
For each competitor, use Firecrawl scrape or browser as needed:
pricing pages, annual/monthly toggles, expanded feature tables
feature and product pages
changelogs, blogs, release notes, docs updates
authenticated dashboards only when the user has legitimate access
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners. A natural split is one competitor per researcher or one focus area per researcher.
Each researcher should return pricing tiers, features, recent changes, source URLs, and confidence notes.
Final Deliverable
# Competitive Intel: [Competitors]
## Alerts
[Notable pricing, feature, or positioning changes]
## Per-Competitor Breakdown
[Pricing tiers, feature inventory, recent changes]
## Cross-Competitor Comparison
[Pricing table, feature matrix, key differentiators]
## Suggested Follow-Ups
[What to monitor next]
## Sources
[URLs visited]
## Rerun Inputs
workflow: firecrawl-competitive-intel
competitors: [list]
focus: [all/pricing/features/changelog]
cadence: [one-off/weekly/monthly]JSON Shape
When structured output is requested, include generatedAt, competitors, pricing, recentChanges, features, and sources.
Quality Bar
Extract real plan names, limits, and dates when available.
Note contact-sales or gated details instead of guessing.
Preserve sources for diffing future runs.
Files
- ATTRIBUTION.mdAdded by AutoGineer946 B
- LICENSELicence file added by AutoGineer735 B
- SKILL.md2.4 KiB
SKILL.md
Firecrawl Competitive Intel
Use this for monitoring competitors over time. This is not the broad competitor analysis workflow.
Onboarding Interview
Infer competitors, focus, cadence, and output format from context. If competitors are clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the competitor list, focus area, or whether authenticated pages/profiles are required.
Firecrawl Collection Plan
For each competitor, use Firecrawl scrape or browser as needed:
pricing pages, annual/monthly toggles, expanded feature tables
feature and product pages
changelogs, blogs, release notes, docs updates
authenticated dashboards only when the user has legitimate access
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners. A natural split is one competitor per researcher or one focus area per researcher.
Each researcher should return pricing tiers, features, recent changes, source URLs, and confidence notes.
Final Deliverable
# Competitive Intel: [Competitors]
## Alerts
[Notable pricing, feature, or positioning changes]
## Per-Competitor Breakdown
[Pricing tiers, feature inventory, recent changes]
## Cross-Competitor Comparison
[Pricing table, feature matrix, key differentiators]
## Suggested Follow-Ups
[What to monitor next]
## Sources
[URLs visited]
## Rerun Inputs
workflow: firecrawl-competitive-intel
competitors: [list]
focus: [all/pricing/features/changelog]
cadence: [one-off/weekly/monthly]JSON Shape
When structured output is requested, include generatedAt, competitors, pricing, recentChanges, features, and sources.
Quality Bar
Extract real plan names, limits, and dates when available.
Note contact-sales or gated details instead of guessing.
Preserve sources for diffing future runs.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- firecrawl
- Publisher
- Firecrawl (Official)
- Source
- firecrawl/skills · skills/workflows/firecrawl-competitive-intel · commit 458d9d0
- Licence
- ISC License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by firecrawl.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download firecrawl-competitive-intel.zip