supercool-research
Brief SuperCool for deep research (market research, competitor analysis, literature review, due diligence) and get the report.
Skill by Famous-Labs
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/famous-labs-supercool-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: documents, 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/supercool-research
What's inside
- Skill name
supercool-research- Description
- Brief SuperCool for deep research (market research, competitor analysis, literature review, due diligence) and get the report. Use with the supercool skill when the user wants a researched report rather than a quick answer.
- License
- MIT
- Instructions
- 13 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Research briefs for SuperCool Send it the way the `supercool` skill says: with `message_agent` (then `wait_for_updates`) when SuperCool's MCP tools are available, otherwise with the CLI's `supercool ask "<brief>" --wait --json --timeout 60m`. Say: - **The question** to answer, and the decision it feeds. - **Scope:** markets, regions, time period, sources to prefer or avoid. - **Depth and length:** a one-page summary or a detailed report with citations. - **Output:** document format (report, table, slides), and any structure to follow. - **Inputs:** attach existing notes or data (public https URLs with `message_agent`, or `--file` with the CLI). The agent's reply summarizes; the full report is in the saved files.
From Famous-Labs/supercool-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Famous-Labs/supercool-skills
- Website
- supercool.com/cli
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Famous-Labs
- 0.565score
design-assets
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Make design assets with SuperCool: logos, icons, diagrams, flowcharts, charts and UI mockups.
SkillAFreshness: AClaude Code +9 - 0.565score
document
Famous-Labs
Write a polished document with SuperCool: a proposal, plan, brief, one-pager, guide or policy, delivered as a formatted file.
SkillAFreshness: AClaude Code +9 - 0.565score
get-started
Famous-Labs
Start here with SuperCool Sites & Decks: what the user's SuperCool agent builds (websites, presentations, documents, research reports, design assets) and how…
SkillAFreshness: AClaude Code +9 - 0.565score
presentation
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Make a presentation or pitch deck with SuperCool, ready to present or download.
SkillAFreshness: AClaude Code +9 - 0.565score
research-report
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Get a research report from SuperCool that reads the web and cites its sources.
SkillAFreshness: AClaude Code +9 - 0.565score
website
Famous-Labs
Build and publish a website or landing page with SuperCool, then change it by asking.
SkillAFreshness: AClaude Code +9
Cite this page
supercool-research skill. Agent Mart. https://agentmart.dev/skills/famous-labs-supercool-research (last updated 2026-10-24)