AI Agent Skill HUB

open-research

Autonomous web research and content extraction. Best for deep dives into topics, news, and technical documentation.

14 stars
byAbdullahMalik17
View on GitHubInstallation ↓

Best use case

open-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Autonomous web research and content extraction. Best for deep dives into topics, news, and technical documentation.

Teams using open-research should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/open-research/SKILL.md --create-dirs "https://raw.githubusercontent.com/AbdullahMalik17/malikclaw/main/workspace/skills/open-research/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/open-research/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How open-research Compares

Feature / Agentopen-researchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Autonomous web research and content extraction. Best for deep dives into topics, news, and technical documentation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

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Find the best AI skills to adapt into ChatGPT workflows for research, writing, summarization, planning, and repeatable assistant tasks.

SKILL.md Source

# Open Research 🦅

This skill enables **autonomous research** by combining search and fetching. Use this to go beyond simple queries—act as an investigator.

## When to use (trigger phrases)

Use this skill when the user asks for:
- "Research the latest on [Topic]"
- "Find the documentation for [Library] and summarize it"
- "Look up the specs for [Hardware] and compare it with [Hardware]"
- "Investigate [Event/News] and give me a detailed report"

## Core Workflow

1. **Search**: Use `web_search` to find relevant links.
2. **Fetch**: Use `web_fetch` to extract content from the most promising URLs.
3. **Synthesize**: Combine the extracted information into a high-signal report.

## Examples

### Deep Dive into a Project
```bash
# First find the repo/docs
web_search "MalikClaw GitHub repository"

# Then fetch the README or ARCHITECTURE
web_fetch "https://github.com/AbdullahMalik17/malikclaw/blob/main/README.md"
```

### Technical Comparison
```bash
# Search for specs
web_search "Raspberry Pi 5 vs Orange Pi 5 specs"

# Fetch detailed benchmarks
web_fetch "https://example-benchmark-site.com/pi5-vs-opi5"
```

## Proactive Investigation
If a search result seems incomplete, **don't stop**. Follow the links. If a site is blocked, try another source.

## Best Practices
- **Parallel Fetching**: Fetch multiple URLs if the information is spread across sites.
- **Context Management**: Be selective with what you fetch to keep the context window lean and efficient (the "MalikClaw Way").
- **Citations**: Always cite your sources with `[Source Name](URL)`.

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