competitor-analysis agent skill by browserbase
Researches competitors by auto-discovering them with the Browserbase Search API and studying each across a four-lane pattern, starting from the user's company.
At a glance
| Publisher | Browserbase Official |
|---|---|
| Repository | browserbase/skills (18 listed skills) |
| Category | Business, Sales and Finance |
| License | MIT |
| Last commit | September 1, 2026 (repository) |
| SKILL.md | 392 lines, 4,274 words |
| Bundled files | 16 files, including references, scripts |
| Quality score | 79/100 · C Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the listing badge and raise the score |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 7 script files (7 JavaScript). Your agent may run them, so read them first.
- Credential names SKILL.md mentions:
BROWSERBASE_API_KEY. - MCP: SKILL.md mentions an MCP server.
- Tool permissions requested:
Bash Agent AskUserQuestion(theallowed-toolsfield of SKILL.md). - License: MIT, an open-source or open-content license.
Install competitor-analysis
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/browserbase/skills/tree/main/skills/competitor-analysis
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/browserbase/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/competitor-analysis .claude/skills/
rm -rf "$tmp"
python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo browserbase/skills \
--path skills/competitor-analysis
browserbase/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Competitor research and intelligence skill. Takes a user's company (with optional seed competitor URLs), auto-discovers additional competitors via Browserbase Search API, deeply researches each using a 4-lane pattern (marketing surface, external signal, public benchmarks, strategic diff vs the user's company), and compiles the results into an HTML report with four views: overview, per-competitor deep dive, side-by-side feature/pricing matrix, and a chronological mentions feed (news, reviews, social, comparison pages, and public benchmarks). Use when the user wants to: (1) analyze competitors, (2) build a competitive matrix, (3) extract competitor pricing / features, (4) find comparison pages and online mentions of competitors, (5) surface public benchmarks. Triggers: "competitor analysis", "analyze competitors", "competitive intel", "competitor research", "competitor pricing", "feature comparison", "price comparison", "find comparisons", "who's comparing us", "competitor mentions", "competitor benchmarks".
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Compatibility, from SKILL.md
| Compatibility | Requires the browse CLI (npm install -g browse) and BROWSERBASE_API_KEY env var |
|---|
Sections in SKILL.md
- Pipeline Overview
- Step 0: Setup Output Directory
- Step 1: User Company Research
- Step 2: Depth Mode + Seed Input
- Step 3: Discovery (3 parallel waves)
- Step 4: Gate (category-fit filter)
- Step 4.5: Confirm enrichment set with the user
- Step 5: Deep Enrichment
- Quick mode — single subagent per batch
- Deep / Deeper mode — 5 subagents PER competitor (parallel lane fan-out)
- Merge partials → canonical per-competitor file
- Synthesize the comparison matrix (write matrix.json)
- Fact-check the matrix — spot-check the high-stakes cells (default)
- Step 5d: Battle Card synthesis (deep/deeper only, after Step 5c)
- Step 6: Screenshots
- Step 7: HTML Report
Files in the skill folder
LICENSE.txtSKILL.mdreferences/battle-card-subagent.mdreferences/battle-card.mdreferences/example-research.mdreferences/report-template.htmlreferences/research-patterns.mdreferences/workflow.mdscripts/capture_screenshots.mjsscripts/compile_report.mjsscripts/extract_vs_names.mjsscripts/gate_candidates.mjsscripts/list_urls.mjsscripts/md_utils.mjsscripts/merge_partials.mjsscripts/package.json
Suede Skill Check: 79/100 · C
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 6811ca311633. Report version bf940bbc6289. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Description length: 1 of 5 points. 5 for 150–600 characters; 3 for 100–900; 1 for 50–1,024.
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Instruction depth: 4 of 7 points. 7 for a SKILL.md body of 500–3,000 words; 4 for 250–4,500; 1 for 100 or more.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
competitor-analysis passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 1 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 3 of 3 |
| Instruction depth | 4 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 6 of 9 |
| Curated-list citations | 0 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 2 of 2 |
Show the listing and raise the score
competitor-analysis is listed with 79/100 · C. This badge links to its Suede listing. Skills scoring 80–99 add a numeric and a letter quality shield; the largest open points for competitor-analysis are boundary clause (4), description length (4) and instruction depth (3). Send your repository and the points you want to raise, then request a fresh review after updating the skill.
[](https://skills.suedeai.ai/directory/browserbase/skills/competitor-analysis/)
<a href="https://skills.suedeai.ai/directory/browserbase/skills/competitor-analysis/"><img src="https://skills.suedeai.ai/directory/badge.svg" alt="Suede Skills Directory: listed" height="20"></a>
Where this skill is cited
browserbase/skills is listed from its publisher's official collection or a listing request.