Competitor Intel

What it does

When your agent uses it

• Tasks that involve Web scraping
• Tasks that involve Positioning and messaging
• Tasks that involve Web search

Example prompts

• “/competitor-intel”

Requirements

• A credential in APIFY_API_TOKEN

Workflow steps

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

1. 1Intake
2. 2Competitor Profile Research
3. 3Competitor Profile Output
4. 4Competitive Landscape Summary
5. 5Ongoing Monitoring (Optional)

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).

  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 these keys or tokens, usually read from environment variables:

  • APIFY_API_TOKEN

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competitor Intel loads about 1.8k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~107

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

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

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). 543 words, ~1,788 tokens.

name

competitor-intel

description

Competitor intelligence system. Research competitors across web, Reddit, Twitter/X, LinkedIn, and blogs. Build deep competitor profiles, monitor content and positioning changes, track what gets traction, and identify competitive gaps. Covers data collection, content tracking, and strategy analysis. Pure research skill — uses web search, web fetch, and optionally Apify for social scraping. No scripts required.

# Competitor Profile: [Company Name]
**Last updated:** [DATE]
**Website:** [URL]

## Overview
- **What they do:** [1-2 sentences]
- **ICP:** [who they sell to]
- **Stage:** [funding, headcount]
- **Pricing:** [model + price points]

## Positioning
- **Value prop:** [their core claim]
- **Key differentiators:** [what they emphasize]
- **Positioning against us:** [how they frame the comparison, if any]

## Product
- **Core features:** [list]
- **Recent launches:** [last 6 months]
- **Integrations:** [key partners]

## Content & Marketing
- **Blog frequency:** [posts/month]
- **Top topics:** [themes they write about]
- **Social activity:** [LinkedIn, Twitter/X presence and engagement level]
- **Content strategy:** [what type of content dominates — thought leadership, SEO, product marketing]

## Customer Evidence
- **Notable customers:** [logos]
- **G2/Capterra rating:** [score + review count]
- **Common praise:** [what customers love]
- **Common complaints:** [what customers dislike]

## Signals
- **Hiring:** [what roles, what it signals]
- **Partnerships:** [recent partnerships]
- **News:** [recent press/announcements]

## Strengths & Weaknesses (vs. You)
### Where they're strong:
- [strength 1]
- [strength 2]

### Where they're weak:
- [weakness 1]
- [weakness 2]

### Your opportunity:
- [gap you can exploit]

# Competitive Landscape — [Your Company] — [DATE]

## Positioning Map
| Company | Core Claim | ICP Focus | Price Point | Key Differentiator |
|---------|-----------|-----------|-------------|-------------------|
| You | [claim] | [ICP] | [price] | [differentiator] |
| Comp 1 | [claim] | [ICP] | [price] | [differentiator] |
| Comp 2 | ... | ... | ... | ... |

## Content Comparison
| Company | Blog Frequency | Top Topics | Social Presence |
|---------|---------------|-----------|-----------------|
| You | [X/month] | [topics] | [LinkedIn/Twitter activity] |
| Comp 1 | [X/month] | [topics] | [activity] |

## Feature Comparison
| Feature | You | Comp 1 | Comp 2 | Comp 3 |
|---------|-----|--------|--------|--------|
| [feature 1] | ✓/✗ | ✓/✗ | ✓/✗ | ✓/✗ |

## Key Takeaways
1. [Most important competitive insight]
2. [Second]
3. [Third]

## Recommended Actions
1. [What to do based on competitive gaps]
2. [Positioning adjustment]
3. [Content/feature opportunity]

© 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/competitor-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 9, 2026.

• criptogus/agent-evolve-network.claude/skills/competitor-intel