deepthinklite

What This Skill Does

DeepthinkLite is a powerful research tool designed for the OpenClaw ecosystem, bringing a structured, local-first deep research methodology directly to your agent. Unlike standard chat-based queries that vanish into your history, DeepthinkLite enforces a formal research process that produces durable, version-controllable artifacts: questions.md and response.md. By imposing a mandatory time budget and enforcing a strict, prompt-injection-resistant workflow, it ensures that your agent provides comprehensive, high-quality, and reliable information while maintaining strict security boundaries.

Installation

To add this skill to your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/virajsanghvi1/deepthinklite

Use Cases

DeepthinkLite is ideal for complex information gathering tasks where accuracy and traceability are paramount. Use it to:

• Technical Due Diligence: Analyze internal codebases alongside recent public documentation for libraries or frameworks.
• Market Analysis: Compile research on competitors by aggregating web-based reports and internal company documentation.
• Project Scoping: Generate structured investigation plans for ambiguous technical requirements.
• Long-term Knowledge Management: Create artifacts that you can commit to Git, diff, and reuse as a reference point for future project iterations.

Example Prompts

1. "DeepthinkLite, research the architectural trade-offs between implementing a Postgres-based queue versus Redis for our current notification service. Output the findings to ./research/notifications."
2. "Perform a deep dive into the recent security advisories for our internal web server dependencies. Create a remediation plan using a 30-minute time budget."
3. "Investigate how to migrate our legacy logging infrastructure to the new cloud-native standard. Use summary-only mode and list all primary sources in questions.md."

Tips & Limitations

• Respect the Budget: Always define a time budget if you have specific constraints; otherwise, the agent will default to a 10-60 minute range.
• Security First: Remember that DeepthinkLite treats all external data as untrusted. When prompted for access to local files or the web, review the agent's intent carefully.
• Source Modes: Use summary-only when dealing with sensitive environments to prevent raw code snippets from potentially triggering unwanted LLM execution paths.