An advanced AI consultant skill for performing deep technical analysis, competitor comparisons, and weighted product selection decisions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tech-evaluation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tech-evaluation 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 Tech Evaluation & Product Selection Advisor?
This skill transforms your AI agent into a senior IT architect and product consultant. It is designed to move beyond simple tool descriptions by providing rigorous, data-driven technical evaluations. Whether you are choosing a database, a frontend framework, or an API service, this Openclaw Skills extension automates the entire research and decision-making lifecycle, ensuring your stack is built on objective analysis rather than hype.
By leveraging the tech-evaluation capability, developers can bypass manual spreadsheet comparisons. The skill naturally integrates with various search and code execution tools to gather real-time data from GitHub, official documentation, and community benchmarks, making Openclaw Skills a vital part of any modern development workflow.
Tech Evaluation & Product Selection Advisor Use Cases
- Comparing multiple GitHub repositories to find the most active and suitable library for a specific feature.
- Evaluating enterprise software options based on custom weighted criteria like cost, security, and integration capabilities.
- Identifying the best technical architecture or cloud service for a new project startup.
- Running benchmarks and security audits on third-party tools before integration.
How Tech Evaluation & Product Selection Advisor Works
- Automatically extracts user requirements and constraints into a structured information card.
- Performs deep analysis of the target product including its architecture, maintenance status, and typical use cases.
- Scans the ecosystem to identify 3-8 relevant competitors for comparison.
- Conducts a multi-dimensional comparison across factors like performance, documentation quality, and license risks.
- Applies a weighted scoring model tailored to the specific scenario.
- Delivers a definitive selection decision with clear justifications and an actionable MVP test plan.
Tech Evaluation & Product Selection Advisor Setup
To add this capability to your agent, include the tech-evaluation definition in your agent configuration. Ensure your agent has permissions for web searching and code execution to fetch real-time repository data. This is a primary feature within the Openclaw Skills library.
# Example of how to trigger the evaluation logic
openclaw-agent "Compare Tailwind CSS vs Bootstrap for a high-performance dashboard"
Tech Evaluation & Product Selection Advisor Data Schema & Taxonomy
The skill organizes data into a logical flow of analysis objects to ensure clarity and depth. This structure is a hallmark of high-quality Openclaw Skills implementation:
| Component | Description |
|---|---|
| Information Card | Contains clear info, inferred info, and assumptions derived from user prompts. |
| Product Analysis | Detailed breakdown of core capabilities, architecture, and maintenance risks. |
| Comparison Matrix | Multi-dimensional scoring (1-10) for all candidates across performance and usability. |
| Weighted Score Table | Final rankings based on scenario-specific priorities like cost or scalability. |
| Action Plan | Step-by-step validation tasks and 1-hour trial guides for the chosen solution. |
Tech Evaluation & Product Selection Advisor Advanced Features
- Parallel processing of GitHub API calls and web searches to minimize latency during the research phase.
- Automated GitHub repository discovery via topic search and REST API metadata analysis.
- Custom weighted scoring models that adjust dynamically based on whether the user is an individual developer or an enterprise team.
- Built-in risk assessment for open-source licenses and project maintenance longevity within Openclaw Skills.
- Deep integration with browser snapshots to analyze documentation and landing pages directly.
SKILL.md
Loading
Related Openclaw Skills
Self-Check System
A mandatory multi-dimensional reasoning and quality control framework designed to ensure AI agent reliability and transparency.
Safe Bitwarden CLI
An industrial-grade secure bridge to Bitwarden for zero-trust password and TOTP code management via native clipboard piping.
Discord Chat
A powerful integration for AI agents to interact with Discord channels through automated messaging, searching, and moderation.
Xiangji Translation Service
A comprehensive translation tool that leverages multiple AI engines to provide professional text and image-based language conversion.
Human-Machine Collaboration Protocol
A sophisticated execution protocol for AI agents to facilitate proactive communication, meeting preparation, and post-meeting task automation.
Weather Plus
A comprehensive weather utility for AI agents providing real-time data, multi-day forecasts, and personalized clothing indices with no individual API keys required.
Featured*
