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learning-career-development

Helps your agent record training information. It can store details like the course name, who provided it, and employee progress.

What it does

This tool helps organize information about training and career development. It records details like the course name, who provided it, how it was delivered (online, in-person), who attended, the duration, progress, score, whether it was mandatory, if a certificate was earned, and what new skills were gained.

When to use it

  • ✓To log courses that employees have completed.
  • ✓To track progress on mandatory training.
  • ✓To list skills acquired after a course.

Example of what to ask your AI

“I want to register a leadership course I took, provided by Company X, it was online and mandatory. The certificate was issued and I gained skills in team management.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/learning-career-development/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/learning-career-development/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI collects information about training, such as name, provider, method, participant, duration, progress, score, mandatory status, certificate, and skills. It organizes this data to create a learning record.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill learning-career-development

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/learning-career-development/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Learning & Career Development

What it is: Learning management.

Overview

Works out the smallest useful Learning & Career Development setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 5: Develop. Fits: Growth stage. Table code: n/a.

When to Use This Skill

  • lms tracker
  • learning management
  • course completion tracker
  • employee training record

Also use it when the user says "learning management", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: How many people are learning something right now?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Learning - Internal or external courses? / Mandatory or optional? / How many people?
  • Records - Certificates tracked? / Progress visible? / Completion required?
  • Process - Who approves enrolment? / Budget per person? / LMS in use?
  • Current process - How do you track now? / Files or nothing? / What gets missed?
  • Outcome - What do you need? / A record, dashboards or mandatory tracking?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

module: learning-career-development
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Learning": null
  "Records": null
  "Process": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking

Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Track enrolment, completion and certificate per person, and only add mandatory flags if something is actually enforced.

Why this one: Learning records matter later for probation and promotion. Keep them per person with a completion date and a link to the certificate.

Workflow: Enrolment → Progress → Completion → Certificate → Record

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no

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FAQ

Does this tool store personal employee data?

No, this tool creates templates and training records but does not store real employee or customer data. It generates empty templates.

Can I use this for payroll calculations?

No, this tool focuses on career development and learning, not financial or legal calculations.

What kind of output can I ask the AI to generate?

You can ask it to create a training record, or a template in CSV, SQL, JSON Schema, or Notion format, based on the information you provide.

Details

Original description by the author

Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained. Use for learning records.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#3421
License
MIT
Updated
10/15/2026

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