Agent skill

Competitive Pricing Intel

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

Monitor competitor pricing pages via live web scrape and Web Archive snapshots.

MITAuto-check passedData & Analytics

Install Competitive Pricing Intel

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill competitive-pricing-intel -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills competitive-pricing-intel --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/competitive-pricing-intel .claude/skills/competitive-pricing-intel && 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
competitive-pricing-intel
GitHub stars
1.2k
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
628 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Monitor competitor pricing pages via live web scrape and Web Archive snapshots.

  • Works in 4 steps: Intake → Current Pricing Capture → Pricing Analysis → …
  • A product marketing team needs to stay current on competitive pricing
  • SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Current Pricing Capture and Phase 2: Pricing Analysis, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Competitive Pricing Intel is an agent skill from gooseworks-ai/goose-skills. Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Track plan changes, tier restructuring, new pricing models, and feature gating shifts. Produces a pricing comparison matrix and flags when a competitor changes packaging. Use when a product marketing team needs to stay current on competitive pricing or when preparing for a pricing change of their own.

Its SKILL.md is about 2.2k 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 Data & Analytics, covering Landing pages, Pricing strategy and Web scraping. 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

  • A product marketing team needs to stay current on competitive pricing
  • Preparing for a pricing change of their own

Example prompts

  • “/competitive-pricing-intel”

Requirements

  • Python 3

Workflow steps

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

  1. Intake
  2. Current Pricing Capture
  3. Pricing Analysis
  4. Output Format

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 and bash).

    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

Competitive Pricing Intel loads about 2.2k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 628 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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). 628 words, ~2,230 tokens.

Download SKILL.mdSave it as .claude/skills/competitive-pricing-intel/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
competitive-pricing-intel
description
Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Track plan changes, tier restructuring, new pricing models, and feature gating shifts. Produces a pricing comparison matrix and flags when a competitor changes packaging. Use when a product marketing team needs to stay current on competitive pricing or when preparing for a pricing change of their own.
tags
competitive-intel

Competitive Pricing Intel

Track competitor pricing pages over time. Detect when they change plans, shift feature gating, adjust pricing models, or introduce new tiers. The output is a living pricing comparison matrix plus alerts when something changes.

Core principle: Pricing is the most under-monitored competitive signal. Most teams only check competitor pricing when they're about to change their own. This skill makes it continuous.

When to Use

  • "What are our competitors charging?"
  • "Has [competitor] changed their pricing recently?"
  • "Build a pricing comparison matrix"
  • "Monitor competitor pricing for changes"
  • "We're rethinking our pricing — show me the competitive landscape"

Phase 0: Intake

  1. Your product name + pricing page URL
  2. Competitors to track — Names + pricing page URLs (2-5 recommended)
  3. Your pricing model — How do you charge? (per seat, usage, flat, freemium, etc.)
  4. Key comparison dimensions — What matters to your buyer? (price per seat, included features, limits, support tiers)
  5. First run or recurring?
    • First run: Full baseline capture + historical analysis
    • Recurring: Compare against last snapshot

Phase 1: Current Pricing Capture

1A: Live Scrape

For each competitor's pricing page:

Fetch: [competitor pricing URL]

Extract:

  • Plan names and prices — Every tier with monthly and annual pricing
  • Feature matrix — What's included in each tier?
  • Limits — Usage caps, seat limits, storage, API calls
  • Add-ons — What costs extra beyond base plans?
  • Enterprise tier — "Contact us" or listed price? What's gated behind sales?
  • Free tier / trial — What's available without paying?
  • Pricing model — Per seat / per user / usage-based / flat / hybrid
1B: Web Archive Historical Check

Search for past versions of their pricing page:

Search: "web.archive.org" "[competitor pricing URL]"
Fetch: web.archive.org/web/*/[competitor pricing URL]

Look for the last 2-3 snapshots to detect:

  • Price increases/decreases
  • Plan restructuring (new tiers added, tiers removed)
  • Feature gating changes (features moved between tiers)
  • Model shifts (e.g., moved from per-seat to usage-based)
  • Free tier changes (expanded or restricted)
1C: Pricing Announcement Research
Search: "[competitor]" pricing change OR "new pricing" OR "updated plans"
Search: "[competitor]" blog pricing OR announcement plans
Search: "[competitor]" site:reddit.com pricing OR "price increase"

Capture any public announcements or community reactions to pricing changes.

Phase 2: Pricing Analysis

2A: Competitive Pricing Matrix

Build a normalized comparison across all competitors:

DimensionYour ProductCompetitor ACompetitor BCompetitor C
Starter price$X/mo$X/mo$X/mo$X/mo
Mid-tier price$X/mo$X/mo$X/mo$X/mo
Enterprise$X/mo or Custom.........
Pricing model[Model][Model][Model][Model]
Free tier[Yes/No + limits].........
Annual discount[X%].........
Key limit (starter)[e.g., 5 seats].........
Key limit (mid)[e.g., 20 seats].........
Overage cost[$/unit or blocked].........
Support included[Email/chat/phone].........
Show full SKILL.md (251 more words)Show less
2B: Price-to-Value Ratio

For the ICP's typical use case, calculate effective cost:

Scenario: [Typical ICP — e.g., "10-person growth team, 5,000 contacts, 1,000 emails/month"]

Your Product: $[X]/mo for this scenario
Competitor A: $[X]/mo for this scenario
Competitor B: $[X]/mo for this scenario

This reveals true competitive pricing position, not just list price.

2C: Packaging Strategy Analysis

For each competitor, identify their packaging strategy:

StrategyDescriptionWho Uses It
Good-Better-Best3 tiers, clear upgrade pathMost SaaS
Usage-basedPay for what you useAPI/infrastructure
Per-seatPrice scales with teamCollaboration tools
FreemiumFree forever, premium featuresPLG products
Reverse trialFull features free, then downgradeConversion-optimized
Platform + add-onsBase platform + modular featuresEnterprise
2D: Change Detection (Recurring Runs)

Compare current snapshot against previous:

Change TypeSeverityExample
Price increaseHighStarter: $29 → $39/mo
Price decreaseHighAggressive competitive move
New tier addedMedium"Growth" plan between Starter and Pro
Tier removedMediumSimplified from 4 to 3 plans
Feature ungatedMediumFeature moved from Pro to Starter
Feature gatedMediumFeature moved from Starter to Pro
Model changeCriticalShifted from per-seat to usage-based
Free tier changeHighFree plan limits reduced/expanded

Phase 3: Output Format

markdown
# Competitive Pricing Intel — [DATE]
Products tracked: [your product], [competitors]
Previous snapshot: [date or "first run"]

---

## Pricing Change Alerts

### [Competitor Name]
- **Change detected:** [Description of what changed]
- **Previous:** [Old pricing/plan structure]
- **Current:** [New pricing/plan structure]
- **Implication for us:** [What this means for your positioning/pricing]

*(Repeat for each competitor with changes. If no changes: "No pricing changes detected since [last run date].")*

---

## Competitive Pricing Matrix

| | [You] | [Comp A] | [Comp B] | [Comp C] |
|---|---|---|---|---|
| **Starter** | $[X]/mo | $[X]/mo | $[X]/mo | $[X]/mo |
| **Mid-tier** | $[X]/mo | $[X]/mo | $[X]/mo | $[X]/mo |
| **Enterprise** | [Price] | [Price] | [Price] | [Price] |
| **Model** | [Type] | [Type] | [Type] | [Type] |
| **Free tier** | [Details] | [Details] | [Details] | [Details] |
| **Annual discount** | [X%] | [X%] | [X%] | [X%] |

---

## ICP Scenario Pricing

For: [Typical buyer scenario]

| Product | Monthly Cost | Annual Cost | Notes |
|---------|-------------|-------------|-------|
| [You] | $[X] | $[X] | [Context] |
| [Comp A] | $[X] | $[X] | [Context — e.g., "requires add-on for [feature]"] |
| [Comp B] | $[X] | $[X] | [Context] |

**Your position:** [Cheapest / Mid-range / Premium] for this scenario

---

## Feature Gating Comparison

Features that matter most to ICP — where are they gated?

| Feature | [You] | [Comp A] | [Comp B] |
|---------|-------|----------|----------|
| [Feature 1] | [Tier] | [Tier] | [Tier] |
| [Feature 2] | [Tier] | [Tier] | [Tier] |
| [Feature 3] | [Tier] | [Tier] | [Tier] |

---

## Packaging Strategy Summary

| Competitor | Strategy | Target Motion | Notes |
|-----------|----------|--------------|-------|
| [Comp A] | [Strategy type] | [PLG/Sales-led/Hybrid] | [Key observation] |
| [Comp B] | [Strategy type] | [Motion] | [Observation] |

---

## Pricing Recommendations

Based on competitive analysis:

### If holding current pricing:
- **Strength:** [Where your pricing wins]
- **Vulnerability:** [Where a competitor undercuts you]
- **Messaging guidance:** [How to position price on sales calls]

### If considering a change:
- **Opportunity:** [Gap in market you could fill — e.g., "no one offers usage-based in this category"]
- **Risk:** [What to watch out for — e.g., "Competitor B is already cheaper at scale"]

Save to pricing-comparison-[YYYY-MM-DD].md in the current working directory.

Scheduling

Run monthly (pricing changes are infrequent but impactful):

bash
0 8 1 * * python3 run_skill.py competitive-pricing-intel --client <client-name>

Cost

ComponentCost
Web scraping (pricing pages)Free
Web Archive lookupsFree
Web search (announcements)Free
Analysis and comparisonFree (LLM reasoning)
TotalFree

Tools Required

  • web_search — for pricing announcements and community reactions
  • fetch_webpage — for scraping current pricing pages
  • No API keys required

Trigger Phrases

  • "What are competitors charging?"
  • "Has [competitor] changed their pricing?"
  • "Build a pricing comparison matrix"
  • "Run competitive pricing intel for [client]"
  • "Monitor competitor pricing pages"

© 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/competitive-pricing-intel 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 7, 2026.

Compare with similar skills

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Questions about Competitive Pricing Intel

What does Competitive Pricing Intel do?

Monitor competitor pricing pages via live web scrape and Web Archive snapshots. Competitive Pricing Intel is an agent skill from gooseworks-ai/goose-skills. Monitor competitor pricing pages via live web scrape and Web Archive snapshots.

When should I use Competitive Pricing Intel?

Competitive Pricing Intel fits situations like: A product marketing team needs to stay current on competitive pricing; preparing for a pricing change of their own.

How do I install Competitive Pricing Intel in Claude Code?

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

How do I install Competitive Pricing Intel in Codex?

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

Can I use Competitive Pricing Intel 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 competitive-pricing-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitive-pricing-intel, .gemini/skills/competitive-pricing-intel, .github/skills/competitive-pricing-intel and .opencode/skills/competitive-pricing-intel in your project.

What does Competitive Pricing Intel need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitive Pricing Intel is instructions for the agent only. Our summary lists: Python 3.

Does Competitive Pricing Intel 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 Competitive Pricing Intel 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 Competitive Pricing Intel use?

Competitive Pricing Intel 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 Competitive Pricing Intel use?

About 2.2k tokens (SKILL.md is roughly 8.9k 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 Competitive Pricing Intel?

Skills that share tags, products or a category with Competitive Pricing Intel: Coffee Chat (LeoYeAI/openclaw-master-skills, 2.2k stars), Twitter API (aiskillstore/marketplace, 433 stars), Vendor Pricing Tracker (firecrawl/web-agent, 1.2k stars) and Web Search Scraper API Skill (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitive Pricing Intel?

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.