research
Investigate a technical question using primary sources and save a cited Markdown research note.
Skill by paulorsv01
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/paulorsv01-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, productivity
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
What's inside
- Skill name
research- Description
- Investigate a technical question using primary sources and save a cited Markdown research note.
- License
- MIT
- Instructions
- 20 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- openai.yaml · agents/
- skill.toml
SKILL.md (first lines)
# Research ## Evidence and artifact Define the question and the decision the research needs to support. Use relevant primary sources: official documentation, source code, specifications, or first-party APIs. Open the sources behind material claims. Distinguish sourced facts, inference, and unresolved questions. Save one focused Markdown note where the repository keeps research, or use a suitable path when no convention exists. Include the answer, supporting links, and limitations that affect the decision. Match existing documentation metadata. If the user requests delegation and useful independent work remains, assign the research to a background agent. Otherwise, conduct it directly. ## Completion The note answers the question to the extent supported by available evidence and gives a source for each material factual claim. Return its path and the finding that matters to the user's decision.
From paulorsv01/agents, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 24, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/paulorsv01/agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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deep-review
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domain-modeling
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Define domain terminology or record architectural decisions when the user requests domain modeling or decision documentation.
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Investigate bugs with uncertain causes, intermittent failures, or performance regressions using reproducible evidence.
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Design or review command-line interfaces for reliable agent use.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/paulorsv01-research (last updated 2026-10-24)