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- Training Needs Analysis Builder
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Training Needs Analysis Builder
The problem Training requests are often vague, reactive, and disconnected from business goals.
$9.99
Training Needs Analysis Builder
Example session with this skill installed
Create a TNA for our engineering team. We see slow sprint velocity and poor documentation code quality. Managers say engineers need better Python skills. Goals: faster delivery and less rework.
- Read your context and instructions
- Compiled the training needs analysis
Training Needs Analysis: Engineering Team
Executive Summary
Prioritizing Python optimization and technical documentation. Analysis flags tool friction as a non-training factor.
Training vs Non-Training Issue Analysis
- Issue: Code quality. Training: Python testing workshop.
- Issue: Velocity. Non-training: Review CI/CD pipeline bottlenecks.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Training requests are often vague, reactive, and disconnected from business goals. Managers frequently mistake process or tool failures for training needs, leading to wasted budget on ineffective workshops.
What it does
- Converts role descriptions and performance data into structured training needs analysis reports.
- Generates skills and competency matrices with clear proficiency levels.
- Distinguishes between training needs and non-training issues like broken tools or poor processes.
- Prioritizes interventions based on business impact, risk, and urgency.
- Produces implementation roadmaps and evaluation plans with concrete success measures.
Frameworks & tools
Compatible with standard HRIS and L&D workflows. Outputs structured data suitable for integration with LMS platforms, performance management systems, and competency frameworks.
Why this beats prompting it yourself
This skill enforces a rigorous diagnostic framework that prevents the common pitfall of prescribing training before identifying the root cause. It builds built-in logic to flag operational issues that training cannot fix, ensuring L&D resources are targeted correctly.
Use cases
- Creating a departmental learning roadmap for a new fiscal year.
- Auditing existing training plans to remove bias and unsupported claims.
- Converting manager feedback into a structured capability development plan.
- Building a technical skills matrix for rapidly scaling teams.
Known limitations
Does not provide legal or employment law advice. Cannot verify the accuracy of user-provided performance data or regulatory compliance requirements.
Does not provide legal, HR, or regulatory advice. Requires user to provide or confirm evidence for capability levels. Does not replace formal employee relations or union consultations.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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- Software
Python
Permissions
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