Tianlong Analyst for Openclaw

An advanced AI requirement analysis expert powered by the Tianlong Engine V7.4 designed to deconstruct complex problems and provide actionable strategic insights.

guilinleolee
v1.0.0
Mar 6, 2026
0
950
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install tianlong-analyst

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 tianlong-analyst 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 Tianlong Analyst?

Tianlong Analyst is a professional-grade requirement deconstruction tool that leverages the Tianlong Engine V7.4 to provide deep analytical capabilities. It is specifically engineered to look past surface-level requests to identify the root cause, true objectives, and potential risks of any project. By integrating high-level critical thinking models, this skill provides a structured pathway from initial ideation to technical execution.

As a core component of the Openclaw Skills library, it offers a critical thinking score of 0.96, ensuring that every analysis is rigorous and data-driven. Whether you are a developer evaluating a new feature or a product manager validating a startup idea, this tool provides the analytical depth necessary to make informed decisions.

Tianlong Analyst Use Cases

  • Validating product requirements and startup ideas to ensure market-fit.
  • Conducting technical stack evaluations and architectural decision support.
  • Performing project feasibility studies before resource allocation.
  • Assisting in complex professional or investment decision-making scenarios.

How Tianlong Analyst Works

  1. The user provides a requirement description via the dedicated command interface.
  2. The skill deconstructs the input into surface needs versus the fundamental real needs of the user.
  3. It performs a complexity assessment using a traffic-light system (Green, Yellow, Red) to determine the difficulty and execution strategy.
  4. The engine applies critical thinking frameworks, including First Principles and Second-order consequences, to challenge assumptions.
  5. It generates a final structured report containing categorized action items and risk mitigation strategies.

Tianlong Analyst Setup

To use this analysis tool within your environment, ensure you have access to the Openclaw Skills ecosystem. You can trigger the analysis directly using the following command syntax:

/tianlong-analyst <your_requirement_description>

Example:

/tianlong-analyst "I want to build a decentralized AI writing assistant"

Tianlong Analyst Data Schema & Taxonomy

The skill organizes its output into a multi-dimensional schema designed for clarity and depth:

Section Metadata Included
Requirement Deconstruction Surface vs Real Needs, User Personas, Use Case Scenarios
Complexity Assessment Difficulty Level (Color-coded), Judgment Criteria, Execution Path
Critical Thinking First Principles Analysis, Incentive Analysis, Asymmetric Return Evaluation
Actionable Roadmap Immediate Actions, Decisions Required, Risk Warnings

Tianlong Analyst Advanced Features

  • Integration with Tianlong Engine V7.4 for high-fidelity logical reasoning.
  • Asymmetric return evaluation to identify high-impact opportunities with low downside risk.
  • Multi-dimensional incentive analysis to understand stakeholder motivations.
  • Second-order thinking simulations to predict long-term project impacts as part of your Openclaw Skills workflow.

SKILL.md


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