MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Research best-in-class products using Browser MCP and WebSearch
MITAuto-check passed
Install Competitor Scan
$ npx skills add WellApp-ai/Well --skill competitor-scan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WellApp-ai/Well competitor-scan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .claude/skills/competitor-scan && rm -rf skills-srcUse ~/.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/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .claude/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scanType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add WellApp-ai/Well --skill competitor-scan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WellApp-ai/Well competitor-scan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .agents/skills/competitor-scan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .agents/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add WellApp-ai/Well --skill competitor-scan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WellApp-ai/Well competitor-scan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .cursor/skills/competitor-scan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .cursor/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/WellApp-ai/Well.git --path cursor-rules/skills/competitor-scan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add WellApp-ai/Well --skill competitor-scan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WellApp-ai/Well competitor-scan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .gemini/skills/competitor-scan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .gemini/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install WellApp-ai/Well competitor-scanInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add WellApp-ai/Well --skill competitor-scan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .github/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .github/skills/competitor-scan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .github/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add WellApp-ai/Well --skill competitor-scan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WellApp-ai/Well competitor-scan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cursor-rules/skills/competitor-scan .opencode/skills/competitor-scan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "competitor-scan" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/competitor-scan into .opencode/skills/competitor-scan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-scan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
competitor-scan- GitHub stars
- 345
- Token cost
- ~696 tokens
- SKILL.md length
- 207 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research best-in-class products using Browser MCP and WebSearch
- Works in 4 steps: Identify Competitors → Screenshot Key Flows (Browser MCP) → Research Teardowns (WebSearch) → …
- SKILL.md covers When to Use, Instructions, Output Format and Invocation, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Competitor Scan is an agent skill from WellApp-ai/Well. Research best-in-class products using Browser MCP and WebSearch
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol. The repository describes itself as: No more Sundays on Finance. We build the infrastructure that retrieves, processes, and routes your financial and business data to your FinOps stack, so founders can ship, not… The licence is MIT.
Example prompts
- “/competitor-scan”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c740217. 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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Competitor Scan loads about 696 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 207 words of instructions outside code blocks.
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 WellApp-ai/Well at commit c740217, republished under its MIT licence (© WellApp-ai). 207 words, ~696 tokens.
Download SKILL.mdSave it as
.claude/skills/competitor-scan/SKILL.md (or your agent's skills folder).- name
- competitor-scan
- description
- Research best-in-class products using Browser MCP and WebSearch
Competitor Scan Skill
Research how best-in-class products solve similar problems using Browser MCP for screenshots and WebSearch for teardowns.
When to Use
- At the start of DIVERGE Loop (L1)
- When exploring new UI patterns
- When benchmarking against industry standards
Instructions
Phase 1: Identify Competitors
Use the domain competitor table:
| Domain | Products to Study |
|---|---|
| Workspaces/Collaboration | Notion, Linear, Slack, Figma, Attio |
| Data Tables | Airtable, Retool, Rows, Grist |
| AI Chat | ChatGPT, Claude, Gemini, Perplexity |
| Onboarding/Flows | Stripe, Plaid, Mercury, Ramp |
| Settings/Admin | Vercel, Railway, PlanetScale |
| Invitations/Team | Slack, Notion, Linear, Figma |
| Billing/Subscriptions | Stripe, Paddle, Chargebee |
Phase 2: Screenshot Key Flows (Browser MCP)
For each relevant competitor:
1. browser_navigate to the product URL or relevant page
2. browser_snapshot to understand the page structure
3. browser_take_screenshot to capture the UI
4. browser_click / browser_type to navigate through flowsCapture:
- Entry points (how users start the flow)
- Key screens (main interactions)
- Edge cases (empty states, errors)
- Micro-interactions (hover states, transitions)
Phase 3: Research Teardowns (WebSearch)
Search for existing analysis:
WebSearch "[Product] UI teardown [feature]"
WebSearch "[Product] UX case study [feature]"
WebSearch "[Feature] best practices design patterns"Phase 4: Extract Patterns
For each competitor, note:
| Aspect | Pattern |
|---|---|
| Layout | How is content organized? |
| Navigation | How do users move between states? |
| Actions | How are primary/secondary actions presented? |
| Feedback | How is success/error communicated? |
| Copy | What language/tone is used? |
Output Format
After running this skill, output:
## Competitor Scan
### Products Analyzed
1. [Product A] - [URL or feature]
2. [Product B] - [URL or feature]
3. [Product C] - [URL or feature]
### Key Patterns Observed
| Pattern | Product | Description |
|---------|---------|-------------|
| [Pattern] | [Product] | [How they do it] |
### Insights for Our Design
- [Insight 1]: [How to apply]
- [Insight 2]: [How to apply]
### Screenshots Captured
- [Description of screenshot 1]
- [Description of screenshot 2]Invocation
Invoke manually with "use competitor-scan skill" or follow Ask mode DIVERGE loop which references this skill's phases.
Related Skills
problem-framing- Define what problem to researchdesign-context- Compare external patterns with internal
© WellApp-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
Just SKILL.md in cursor-rules/skills/competitor-scan of WellApp-ai/Well.
Open the folder on GitHubat commit c740217
Compare with similar skills
Competitor Scan 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Competitor Scan this skillWellApp-ai/Well | 345 | — | ~696 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.4k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace.
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Iterate until success or limit, composing existing skills with Jidoka integration
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Build a balance sheet (bilan) from a Well workspace. An agent skill from WellApp-ai/Well.
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Generate and maintain BPMN 2.0 diagrams linked to Gherkin scenarios
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Related
Works with
Questions about Competitor Scan
What does Competitor Scan do?
Research best-in-class products using Browser MCP and WebSearch. Competitor Scan is an agent skill from WellApp-ai/Well.
How do I install Competitor Scan in Claude Code?
Run `npx skills add WellApp-ai/Well --skill competitor-scan -a claude-code`. Or copy the skill folder (cursor-rules/skills/competitor-scan in WellApp-ai/Well) into .claude/skills/competitor-scan in your project. Claude Code loads it when a task matches its description.
How do I install Competitor Scan in Codex?
Run `npx skills add WellApp-ai/Well --skill competitor-scan -a codex`. Or copy the skill folder (cursor-rules/skills/competitor-scan in WellApp-ai/Well) into .agents/skills/competitor-scan in your project. Codex loads it when a task matches its description.
Can I use Competitor Scan 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 WellApp-ai/Well --skill competitor-scan -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-scan, .gemini/skills/competitor-scan, .github/skills/competitor-scan and .opencode/skills/competitor-scan in your project.
What does Competitor Scan need to run?
SKILL.md names no scripts, command-line tools or credentials: Competitor Scan is instructions for the agent only.
Does Competitor Scan 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 Competitor Scan 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 Scan use?
Competitor Scan 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 Scan use?
About 696 tokens (SKILL.md is roughly 2.8k 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 Scan?
Skills that share tags, products or a category with Competitor Scan: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Competitor Scan?
WellApp-ai (a GitHub organization) maintains it in WellApp-ai/Well, which has 345 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 7, 2026.
Source: WellApp-ai/Well on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.