Technical Research Skill for Openclaw

An advanced systematic research agent that produces multi-dimensional technical reports and architectural blueprints through real-time web intelligence.

linshengli
v1.0.0
Mar 11, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install technical-research

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install technical-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Technical Research Skill?

The Technical Research skill is a sophisticated workflow designed for developers and architects who need to master a new technology domain rapidly. Unlike standard search tools, this Openclaw Skills integration performs a structured four-dimensional investigation: deep conceptual analysis, real-time industry intelligence, cross-solution comparison, and executive synthesis. It acts as a bridge between high-level inquiries and professional-grade technical documentation.

By utilizing WebSearch and WebFetch tools, the skill avoids stale training data, ensuring that GitHub stars, latest research papers, and current SOTA (State of the Art) benchmarks are reflected in every report. It is particularly effective for teams performing technology stack selection, competitive analysis, or preparing internal technical sharing sessions where accuracy and depth are paramount.

Technical Research Skill Use Cases

  • Comprehensive investigation prior to technology stack selection
  • Rapid onboarding and deep-dives into new technical domains
  • Horizontal comparison of competing open-source solutions or frameworks
  • Preparation of high-quality materials for internal team technical sharing and architectural reviews

How Technical Research Skill Works

  1. Conceptual Analysis: Performs a deep-dive into the technical principles, including ASCII architecture diagrams and LaTeX-based mathematical formalization.
  2. Industry Intelligence: Executes targeted real-time queries for GitHub projects, academic papers (arXiv), and expert engineering blogs.
  3. Solution Comparison: Generates a systematic horizontal evaluation of 5-7 mainstream implementations, including pros/cons and cost estimations.
  4. Essence Synthesis: Distills the findings into the One Formula mental model and a STAR-method summary.
  5. Final Integration: Consolidates all dimensions into a single, comprehensive markdown file and a structured directory for future reference.

Technical Research Skill Setup

To enable this research capability within your environment, ensure your agent has access to the WebSearch and WebFetch tools.

Initiate a research task using the following command structure:

# Research a specific technology or concept
research {technical_domain}

# Example usage
research RAG Technology
research Vector Databases

Technical Research Skill Data Schema & Taxonomy

The skill organizes research into a structured directory under research/{topic}/. Metadata and navigation are handled via an index file.

File Name Description
00-index.md Navigation index and execution statistics
01-full-report.md Collection of all dimensional reports
02-The-All-in-One.md Condensed essence and executive summary
{topic}-concept.md Deep conceptual and architectural analysis
{topic}-intel.md Real-time industry intelligence and project data
{topic}-research.md Final consolidated document (Primary Output)

Technical Research Skill Advanced Features

  • Real-time GitHub data fetching including stars, active commits, and tech stack detection
  • Automated LaTeX formatting for core algorithms and performance models
  • Architecture-as-Code visualization using ASCII flowcharts
  • SOTA research paper filtering (prioritizing high-impact venues like NeurIPS, ICML, and ACL)
  • Multi-language blog synthesis (70% English / 30% Chinese) for global technical perspectives

SKILL.md


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