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botlearn-certify

Compares historical and fresh assessment results to generate HTML and MD certificates.

9|2|Updated Mar 2, 2026
Search Tags:#workflow#template#localization#comparison#certification#assessment#certificate
One-click install
npx skills add https://github.com/botlearn-ai/botlearn-skills --skill botlearn-certify
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: botlearn-certify
Source: https://github.com/botlearn-ai/botlearn-skills/tree/main/skills/botlearn-certify
Command: npx skills add https://github.com/botlearn-ai/botlearn-skills --skill botlearn-certify

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires botlearn-assessment, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

OpenClaw agents require a structured, end-to-end mechanism to validate learning progress and formally certify capability. This skill automates the certification pipeline by comparing historical assessment results with fresh data, classifying professional profiles, and generating portable certificates.

Core Features & Use Cases

  • Dynamic, non-hardcoded dimension matching across reports
  • Data-driven classification and specialty assignment
  • Dual-format certificate generation (HTML + MD) with localization
  • Supports baseline (no history) and growth certificates
  • Flow-driven execution: historical retrieval, fresh exam invocation, and certificate rendering

Quick Start

Trigger the end-to-end certification workflow after an assessment to generate HTML and MD certificates.

Frequently Asked Questions about botlearn-certify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an HTML and MD certificate after an agent assessment?▼

To generate an agent certification certificate, trigger the end-to-end workflow after a fresh exam to compare historical results and render dual-format HTML and MD files.

What is data-driven AI certification for agent growth and how does it work?▼

Data-driven AI certification validates agent learning progress by comparing historical assessment results with fresh exam data, classifying professional profiles, and rendering portable certificates.

Can I issue baseline certificates for agents with no historical assessment data?▼

Yes, the certification workflow supports baseline certificate generation for agents with no history, alongside growth certificates that require comparing historical and fresh assessment data.

Does the certification pipeline handle dynamic dimensions and localization?▼

Yes, the certification pipeline handles dynamic, non-hardcoded dimension matching across reports and supports localization for rendering dual-format HTML and MD certificates.

Do I need the botlearn-assessment dependency to run the certification workflow?▼

Yes, botlearn-assessment is a required dependency that provides the fresh exam invocation needed to resolve agent capability gaps and generate the final certification files.

Why are my agent certification templates not working during profile classification?▼

Certification template rendering includes robust error handling, but failures may occur if historical and fresh assessment dimensions do not match dynamically across reports.

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