Chalk Labs
Need help deploying browser-automation?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/artgaurav16420-oss-browser-automation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
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What's inside
- Skill name
browser-automation- Description
- None
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Browser Automation Activate this skill when you need to interact with a live web interface to verify functionality, capture data, or perform actions that don't have an API. ## Red Flags 1. "I can't see the UI" 1. "I'm not sure if the button is there" 1. "I need to verify the layout" 1. Testing a local web app manually ## The Process ### 1. Launch & Navigate 1. Use your browser tool to open the URL (local or remote). 1. Wait for the page to stabilize. ### 2. Inspect & Plan 1. Take a screenshot or read the DOM to understand the current state. 1. Identify the selectors for the elements you need to interact with. ### 3. Interact Perform atomic actions: 1. **Click**: Buttons, links, checkboxes. 1. **Type**: Input fields, text areas. 1. **Select**: Dropdowns, radio buttons. 1. **Scroll**: To find hidden content. ### 4. Verify 1. After every interaction, verify the expected state change (e.g., "Success" message, navigation to new page). 1. Capture screenshots for your human partner to review. ### 5. Debugging If an interaction fails: 1. Read the console logs. 1. Check for element visibility/overlap. 1. Try alternative selectors (XPath vs CSS). ## Success Criteria 1. The end-to-end user flow is verified. 1. Visual bugs are caught and documented. 1. Complex data is extracted accurately from the UI.
From artgaurav16420-oss/Mega-Skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 4, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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artgaurav16420-oss
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SkillCFreshness: CClaude Code +9 - 0.450score
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artgaurav16420-oss
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel.
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get browser-automation running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
browser-automation skill. Agent Mart. https://agentmart.dev/skills/artgaurav16420-oss-browser-automation (last updated 2026-10-24)