Agent skill

Competitor Research

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

Research competitors - products, pricing, team, funding, and strategy

MITAuto-check passedMarketing & SEO

Install Competitor Research

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill competitor-research -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills competitor-research --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/capabilities/competitor-research .claude/skills/competitor-research && 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
competitor-research
GitHub stars
1.2k
Used in
1 other repo
Token cost
~904 tokens
SKILL.md length
139 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Research competitors - products, pricing, team, funding, and strategy

  • Works in 4 steps: Company Overview → Find Similar Companies → Get Product Details → …
  • Tasks that involve Competitor analysis
  • SKILL.md covers Setup, Workflow, Example Usage and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches notion.so and api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Competitor Research is an agent skill from gooseworks-ai/goose-skills. Research competitors - products, pricing, team, funding, and strategy

Its SKILL.md is about 900 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 Marketing & SEO, covering Competitor analysis. 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

  • Tasks that involve Competitor analysis

Example prompts

  • “/competitor-research”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

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

  1. Company Overview
  2. Find Similar Companies
  3. Get Product Details
  4. Research Team

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

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • notion.so
    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

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

Context cost

Competitor Research loads about 904 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 139 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~904

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). 139 words, ~904 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
competitor-research
description
Research competitors - products, pricing, team, funding, and strategy
source
orthogonal

Competitor Research - Comprehensive Intelligence

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Gather comprehensive intelligence on competitors including products, pricing, team, and strategy.

Workflow

Step 1: Company Overview

Get basic company information:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"competitor.com"}}'
Step 2: Find Similar Companies

Use Exa to find related competitors:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/findSimilar"}'
  "url": "https://notion.so",
  "num_results": 10
}'
Step 3: Get Product Details

Scrape pricing and features:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://notion.so/pricing",
  "user_prompt": "Extract all pricing tiers, features per tier, and any enterprise options"
}'
Step 4: Research Team

Find key people at the company:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/people-search"}'
  "searchParams": {
    "company_names": ["Notion"],
    "job_titles": ["CEO", "CTO", "VP Product", "VP Engineering"]
  }
}'

Example Usage

bash
# Find competitor customers
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search"}'
  "query": "companies using Notion for documentation case studies",
  "num_results": 20
}'

Tips

  • Set up regular monitoring for competitor changes
  • Track their job postings for strategic insights
  • Monitor their social media and blog
  • Analyze their customer reviews

Discover More

List all endpoints, or add a path for parameter details:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"brand-dev API endpoints"}' api show exa
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"fiber API endpoints"}' api show scrapegraph

Example: curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"olostep","path":"/v1/scrapes"}' for endpoint parameters.

© 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/capabilities/competitor-research 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.

Compare with similar skills

Competitor Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Competitor Research compared with similar skills
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Competitor Research this skillgooseworks-ai/goose-skills1.2k1 repos~904Automated safety check: PassMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7992 repos~4.6kAutomated safety check: PassMIT
Competitor ProfilingNexus-JPF/note-companion8704 repos~3.5kAutomated safety check: PassMIT
Startup Competitorsferdinandobons/startup-skill1.2k—~4.1kAutomated safety check: PassMIT
Amazon Listing Competitor Analysisbrowser-act/skills6.1k1 repos~3.2kAutomated safety check: PassMIT

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Categories

Questions about Competitor Research

What does Competitor Research do?

Research competitors - products, pricing, team, funding, and strategy. Competitor Research is an agent skill from gooseworks-ai/goose-skills.

When should I use Competitor Research?

Competitor Research fits situations like: tasks that involve Competitor analysis.

How do I install Competitor Research in Claude Code?

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

How do I install Competitor Research in Codex?

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

Can I use Competitor Research 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 competitor-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitor-research, .gemini/skills/competitor-research, .github/skills/competitor-research and .opencode/skills/competitor-research in your project.

What does Competitor Research need to run?

Going by SKILL.md and its folder, Competitor Research needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Competitor Research access the network?

SKILL.md names 2 domains. In commands or code: notion.so and api.gooseworks.ai; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Competitor Research 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 Competitor Research use?

Competitor Research 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 Competitor Research use?

About 904 tokens (SKILL.md is roughly 3.6k 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 Competitor Research?

Skills that share tags, products or a category with Competitor Research: SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Profiling (Nexus-JPF/note-companion, 870 stars) and Startup Competitors (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Research?

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.