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chand1012

Lite Research

by chand1012 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install lite-research
Description
Perform lite research using web search and web fetch tools. Use when user asks to "research" something (not "deep research"). Uses advanced search strategies...
README (SKILL.md)

Lite Research Skill

This skill performs quick research by searching the web and reading the top results using built-in tools with advanced search strategies.

When to Use This Skill

Use this skill when the user says "research \x3Ctopic>" (but NOT "deep research"). This skill:

  • Uses web_search to find results for multiple related queries using search best practices
  • Uses web_fetch to read the top 5 results for each query
  • Does NOT spawn sub-agents
  • Provides a summary of findings with sources

Advanced Search Strategy

Instead of basic queries, this skill uses research-proven techniques and limits queries to maximum 5:

1. Query Variations with Synonyms and Alternatives

For a topic like "artificial intelligence", create 2-5 queries like:

  • "artificial intelligence" OR "AI" OR "machine learning"
  • "artificial intelligence" overview introduction basics
  • "artificial intelligence" recent developments 2024 2025
  • "artificial intelligence" challenges problems issues
  • "artificial intelligence" applications uses examples

Limit: Maximum 5 queries total to balance thoroughness with efficiency.

2. Boolean Operators and Search Techniques

  • Use OR for synonyms: "climate change" OR "global warming"
  • Use quotation marks for exact phrases
  • Include both singular and plural forms
  • Add time constraints when relevant

3. Alternative Terminology

Consider:

  • Different spellings (globalization vs globalisation)
  • Technical vs common terms ("myocardial infarction" vs "heart attack")
  • Regional variations ("university" vs "college")
  • Historical terminology changes

4. Multi-Perspective Approach

Create queries from different angles:

  • Basic overview: "{topic} overview introduction"
  • Current state: "{topic} 2024 2025 recent developments"
  • Critical analysis: "{topic} challenges problems issues"
  • Applications: "{topic} applications uses examples"

Implementation Workflow

When user says "research \x3Ctopic>":

  1. Analyze the topic - identify key concepts and potential synonyms

  2. Create 2-5 strategic queries maximum using:

    • Synonyms with OR operators
    • Different query types (overview, recent, critical, applications)
    • Time-specific terms when relevant
    • Quotation marks for exact phrases
    • Important: Never exceed 5 distinct queries
  3. Execute searches with count=5 for each query (max 5 queries total)

  4. Fetch and analyze content from results

  5. Compile findings focusing on:

    • Key concepts and definitions
    • Current developments and trends
    • Different perspectives and applications
    • Notable challenges or controversies

Example Queries for "renewable energy"

  • "renewable energy" OR "clean energy" OR "green energy"
  • "renewable energy" overview introduction "current state"
  • "renewable energy" 2024 2025 "recent developments" trends
  • "renewable energy" challenges problems limitations issues
  • "renewable energy" applications examples projects case studies

Maximum 5 queries total - adjust based on topic complexity and available information.

Important Notes

  • Only triggers on "research" commands, not "deep research"
  • Never spawn sub-agents - use direct tool calls
  • Focus on comprehensive but quick overview
  • Provide sources and URLs for transparency
  • Adapt query strategy based on topic complexity
Usage Guidance
This skill is coherent for quick web research: it will perform multiple web searches and fetch external pages (potentially up to ~25). Verify that your platform's web_search/web_fetch tools are allowed to access the web you expect (and are subject to rate limits and privacy settings). Be aware results can include biased or inaccurate sources—review citations before acting on findings. Finally, note the skill only triggers on 'research' (not 'deep research'), so phrasing matters if you expect more exhaustive analysis.
Capability Analysis
Type: OpenClaw Skill Name: lite-research Version: 1.0.0 The lite-research skill provides structured instructions for an AI agent to perform efficient web research using standard web_search and web_fetch tools. It includes well-defined search strategies, such as using Boolean operators and query variations, while explicitly limiting the scope to 5 queries and prohibiting the spawning of sub-agents. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found in SKILL.md or README.md.
Capability Assessment
Purpose & Capability
Name and description match the declared behavior: generate 2–5 strategic queries, use web_search and web_fetch to read top results, and produce a short summary with sources. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md confines the agent to web_search and web_fetch calls, limits queries to 5 and results to 5 per query, and explicitly forbids spawning sub-agents; it does not instruct the agent to read local files, access secrets, or call unexpected external endpoints. Note: the skill will fetch and read external URLs (up to ~25 pages), which is expected for its purpose.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk or downloaded during installation.
Credentials
Requires no environment variables, credentials, or config paths; requested access is proportionate to a web-based research task.
Persistence & Privilege
always is false and there are no special persistence or cross-skill configuration changes. Autonomous invocation is allowed (platform default) but not excessive for this skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lite-research
  3. After installation, invoke the skill by name or use /lite-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
lite-research 1.0.0 – Initial release - Introduces a skill for performing quick research using advanced web search strategies. - Automatically generates up to 5 diverse queries per topic, using Boolean operators, synonyms, and alternative terminology. - Fetches and analyzes the top 5 results for each query, summarizing key findings, trends, challenges, and applications. - Only activates on "research" (not "deep research") requests and never spawns sub-agents. - Provides users with concise summaries and transparent source links.
Metadata
Slug lite-research
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Lite Research?

Perform lite research using web search and web fetch tools. Use when user asks to "research" something (not "deep research"). Uses advanced search strategies... It is an AI Agent Skill for Claude Code / OpenClaw, with 161 downloads so far.

How do I install Lite Research?

Run "/install lite-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Lite Research free?

Yes, Lite Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Lite Research support?

Lite Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Lite Research?

It is built and maintained by chand1012 (@chand1012); the current version is v1.0.0.

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