web-research
Deep web scraping and structured lead research via Firecrawl web-agent.
Skill by TeddyJubu
Chalk Labs
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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/teddyjubu-web-research
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: sales, research, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/web-research
What's inside
- Skill name
web-research- Description
- Deep web scraping and structured lead research via Firecrawl web-agent.
- License
- MIT
- Instructions
- 45 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Web research (Firecrawl web-agent) Use this skill when the operator asks for lead lists, market research, competitor scraping, or any task that needs many pages searched and structured output (CSV). ## Prerequisites 1. Firecrawl web-agent Express sidecar running (see `docs/web-agent-setup.md`). 2. `WABOT_AGENT_WEB_AGENT_ENABLED=true` on wabot-agent. 3. Call `web_research_health` before queueing a job. ## Workflow 1. Confirm the brief (targets, geography, exclusions, columns, minimum row count). 2. Call `start_web_research` with the **full** research prompt in `prompt` (do not shorten exclusion rules or column headers). 3. Tell the operator the job id and that results will arrive on WhatsApp when finished (may take 30–120+ minutes for 500+ leads). 4. Use `get_web_research_status` if they ask for progress. ## Output format - Prefer `output_format=csv` and require CSV headers in the prompt. - For strict JSON, use `output_format=json` and pass `output_schema_json` (JSON Schema string). ### Standard lead CSV headers ``` businessName,businessCategory,websiteUrl,googleMapsUrl,googleRating,googleReviewCount,address,phoneNumber,businessEmail,ownerName,ownerEmail,doctorOrPractitionerName,ownerLinkedInUrl,companyLinkedInUrl,facebookUrl,instagramUrl,bookingUrl,whatsappUrl,fitReason,personalisationLine,sourceUrl,notes ``` ## Lead-gen prompt checklist Include in every `start_web_research` prompt: - **Target types** — clinic categories and geography (e.g. Singapore). - **Exclusions** — hospital groups, government, major chains, franchises. - **Research method** — Google Maps keywords, regions, directories; no guessed emails. - **Quality** — dedupe, validate emails, source URL per row, no patient data. - **Goal row count** — e.g. at least 500 independent clinics. Pass the operator’s full brief verbatim when they provide one; do not drop exclusion lists or column definitions. ## Owner-only `start_web_research` is restricted to owner WhatsApp numbers when `WABOT_AGENT_WEB_AGENT_OWNER_ONLY=true` (default).
From TeddyJubu/wabot-agent, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 14
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/TeddyJubu/wabot-agent
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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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.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
web-research skill. Agent Mart. https://agentmart.dev/skills/teddyjubu-web-research (last updated 2026-10-24)