research
Conducts comprehensive web research on any topic using search APIs and web scraping.
Skill by abvijaykumar
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/abvijaykumar-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: data, research
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/research
Tools it pre-approves 3
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
internet_searchReadWrite
What's inside
- Skill name
research- Description
- Conducts comprehensive web research on any topic using search APIs and web scraping. Use when the user asks for research, information gathering, competitive analysis, or needs current data from the web.
- License
- MIT
- Compatibility
- Requires internet access and Tavily API key
- Allowed tools
- internet_search, Read, Write
- Instructions
- 20 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Web Research Skill ## Overview This skill provides structured web research capabilities. It handles breaking down complex research questions into targeted search queries and synthesizing findings. ## Instructions 1. Parse the research query to identify key topics and missing information. 2. Use the `internet_search` tool to gather initial results. 3. If results are insufficient, try alternative search queries. 4. Synthesize the findings into a clear, structured summary. 5. Save the detailed findings to the `./workspace` directory as a markdown file. ## Examples ### Input "Research the latest developments in quantum computing" ### Expected Behavior The agent should conduct 3-5 targeted searches, summarize the key breakthroughs (e.g., error correction, new qubit types), and write a report to `workspace/quantum_research.md`.
From abvijaykumar/deep-agents-langchain-blog, MIT.
More from abvijaykumar/deep-agents-langchain-blog
Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Mar 26, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from abvijaykumar
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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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- 500+
- media placements
- founders on every account
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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.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/abvijaykumar-research (last updated 2026-10-24)