A sophisticated solutions architect for your AI agent that transforms complex user goals into high-efficiency, vetted skill stacks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-skill-advisor
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 smart-skill-advisor 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 Smart Skill Advisor?
Smart Skill Advisor acts as a dedicated solutions architect within the Openclaw Skills ecosystem. Instead of providing static search results, it analyzes the underlying intent of a user's request to identify the most effective combination of tools. It focuses on creating the smallest useful stack possible, ensuring that every recommended skill serves a distinct purpose in achieving the final objective.
This skill prioritizes safety and transparency by explicitly calling out tradeoffs and risks associated with third-party code. It follows a strict protocol where installation guidance is only provided after explicit user confirmation, preventing accidental or unwanted environment changes while maintaining a professional, senior-engineer approach to workflow automation.
Smart Skill Advisor Use Cases
- When a user has a complex objective that requires coordinating multiple Openclaw Skills.
- Strategic planning for users who need to compare different technical approaches before committing to an installation.
- Users looking for the fastest, safest path from an abstract idea to a functional execution workflow.
- Projects requiring a multi-step pipeline such as 'Search -> Extract -> Summarize -> Store'.
How Smart Skill Advisor Works
- Intent Analysis: The advisor clarifies the real end goal and breaks it down into specific capability buckets.
- Targeted Discovery: It searches for candidate Openclaw Skills based on capability needs rather than just keyword matching.
- Filtering & Scoring: Candidates are ranked based on goal fit, setup friction, trust signals, and how well they complement other skills in the stack.
- Stack Sequencing: A logical execution order is defined, assigning specific roles to each skill (e.g., primary vs. optional).
- Review & Approval: The advisor presents the recommended stack and execution plan, waiting for explicit user consent before offering installation steps.
Smart Skill Advisor Setup
To integrate this advisor into your environment, ensure you have the core agent protocol active and add the skill definition to your registry:
# Standard installation for Openclaw Skills
claw install smart-skill-advisor
No additional external CLIs are required for the advisor to function, as it intelligently adapts to the tools already available in your specific environment.
Smart Skill Advisor Data Schema & Taxonomy
Smart Skill Advisor organizes its output into a structured recommendation format to ensure clarity for the user:
| Section | Description | Data Type |
|---|---|---|
| Recommended Stack | The primary skill or collection of skills suggested for the goal. | Markdown List |
| Execution Plan | A step-by-step breakdown of tasks, reasons, and risk notes. | Numbered List |
| Alternatives | Skills that were considered but rejected with specific reasoning. | Markdown List |
| Capability Buckets | Extracted technical requirements derived from user intent. | Internal Metadata |
| Safety Signals | Specific flags for skills that fetch third-party code or have high friction. | Warning Tags |
Smart Skill Advisor Advanced Features
- Multi-Agent Orchestration: Recommends sequences designed for collaborative agent workflows.
- Risk-Aware Vetting: Automatically suggests a vetting or review step for any skill involving sensitive third-party code.
- Adaptive Capability Mapping: Translates broad requests (e.g., 'build an app') into concrete technical requirements like scaffolding and observability.
- Tradeoff Logic: Provides a detailed 'Why This Stack Works' analysis, highlighting whether the stack optimizes for speed, safety, or flexibility.
SKILL.md
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