Skill · Business
Learning career development
Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained. Use for learning records.
How to use it
- Start your plan and connect your AI once
- Ask for the task in your own words, or say it directly:
Use the Learning career development skill to help me with this.Without a connection: copy the SKILL.md below into your AI's project instructions.
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 connection. For requested workspace changes, follow the shared contract: verify actual tool access and the target before writing. A user saying "connected" is not tool evidence. Never ask for a Notion password or token.
For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user requests a workbook. A CSV carries no types, so after it, name the columns that need a number, date or currency format applied.
Course / Training,Certificate Earned,Completion Date,Course Category,Course URL,Delivery Method,Department,Duration (Hours),Employee Name,Course Request,LMS ID,Mandatory,Notes,Progress %,Provider,Score,Skills Gained,Start Date,Status
Advanced SQL,FALSE,2026-10-30,General,https://example.com/courses/leadership,Self-paced online,Delivery,2.5,Aarav Sharma,CRS-2026-018,,FALSE,Course completion tracked to the February cohort; one learner has not started.,60, Udemy,4,"Advanced SQL, stakeholder mapping, contract review.",2026-08-03,In Progress
CREATE TABLE learning_career_development (
course_training VARCHAR(255),
certificate_earned BOOLEAN NOT NULL,
completion_date DATE NOT NULL,
course_category VARCHAR(100) NOT NULL,
course_url TEXT,
delivery_method VARCHAR(255),
department VARCHAR(255),
duration_hours NUMERIC NOT NULL,
employee_name VARCHAR(255),
course_request VARCHAR(255), -- relation -> target record
lms_id SERIAL PRIMARY KEY,
mandatory BOOLEAN NOT NULL,
notes TEXT,
progress_pct NUMERIC NOT NULL,
provider VARCHAR(255),
score NUMERIC NOT NULL,
skills_gained VARCHAR(255),
start_date DATE NOT NULL,
status VARCHAR(100) NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_learning_career_development_status ON learning_career_development (status);
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Learning & Career Development",
"type": "object",
"additionalProperties": false,
"properties": {
"Course / Training": { "type": "string" },
"Certificate Earned": { "type": "boolean" },
"Completion Date": { "type": "string", "format": "date" },
"Course Category": { "type": "string" },
"Course URL": { "type": "string", "format": "uri" },
"Delivery Method": { "type": "string" },
"Department": { "type": "string" },
"Duration (Hours)": { "type": "number" },
"Employee Name": { "type": "string" },
"Course Request": { "type": "string" },
"LMS ID": { "type": "integer" },
"Mandatory": { "type": "boolean" },
"Notes": { "type": "string" },
"Progress %": { "type": "number" },
"Provider": { "type": "string" },
"Score": { "type": "number" },
"Skills Gained": { "type": "string" },
"Start Date": { "type": "string", "format": "date" },
"Status": { "type": "string" }
},
"required": [
"Completion Date",
"Course Category",
"Duration (Hours)",
"Progress %",
"Score",
"Start Date",
"Status"
]
}
| CSV column | Notion property | Set after import |
|---|---|---|
| Course / Training | Title | Use as the database title |
| Certificate Earned | Checkbox | Convert to Checkbox |
| Completion Date | Date | Convert to Date |
| Course Category | Select (add options after import) | Convert to Select, add options: "General", "Operations", "Finance", "People", "Compliance" |
| Course URL | URL | Convert to URL |
| Delivery Method | Text | Leave as Text |
| Department | Text | Leave as Text |
| Duration (Hours) | Number | Convert to Number |
| Employee Name | Text | Leave as Text |
| Course Request | Relation (link to the target database) | Convert to Relation, link to the target database |
| LMS ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Mandatory | Checkbox | Convert to Checkbox |
| Notes | Text | Leave as Text |
| Progress % | Number | Convert to Number |
| Provider | Text | Leave as Text |
| Score | Number | Convert to Number |
| Skills Gained | Text | Leave as Text |
| Start Date | Date | Convert to Date |
| Status | Select (add options after import) | Convert to Select, add options: "Not Started", "Enrolled", "In Progress", "Completed", "Failed", "Expired" |
The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date, and anything pointing at another table stays relation.
Field Reference
| # | Field | Type | SQL | JSON Schema | Notion | CSV example |
|---|---|---|---|---|---|---|
| 1 | Course / Training | text | VARCHAR(255) | string | Text | Advanced SQL |
| 2 | Certificate Earned | checkbox | BOOLEAN | boolean | Checkbox | FALSE |
| 3 | Completion Date | date | DATE | string, format: date | Date | 2026-10-30 |
| 4 | Course Category | select | VARCHAR(100) | string | Select (add options after import) | General |
| 5 | Course URL | url | TEXT | string, format: uri | URL | https://example.com/courses/leadership |
| 6 | Delivery Method | text | VARCHAR(255) | string | Text | Self-paced online |
| 7 | Department | text | VARCHAR(255) | string | Text | Delivery |
| 8 | Duration (Hours) | number | NUMERIC | number | Number | 2.5 |
| 9 | Employee Name | text | VARCHAR(255) | string | Text | Aarav Sharma |
| 10 | Course Request | relation | VARCHAR(255) | string | Relation (link to the target database) | CRS-2026-018 |
| 11 | LMS ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) |
| 12 | Mandatory | checkbox | BOOLEAN | boolean | Checkbox | FALSE |
| 13 | Notes | long_text | TEXT | string | Text | Course completion tracked to the February cohort; one learner has not started. |
| 14 | Progress % | number | NUMERIC | number | Number | 60 |
| 15 | Provider | text | VARCHAR(255) | string | Text | Udemy |
| 16 | Score | number | NUMERIC | number | Number | 4 |
| 17 | Skills Gained | text | VARCHAR(255) | string | Text | Advanced SQL, stakeholder mapping, contract review. |
| 18 | Start Date | date | DATE | string, format: date | Date | 2026-08-03 |
| 19 | Status | select | VARCHAR(100) | string | Select (add options after import) | In Progress |
Select Options
Course Category
General | Operations | Finance | People | Compliance
Status
Not Started | Enrolled | In Progress | Completed | Failed | Expired
Relations
Link fields: Course Request
Examples
Prompt
We send people to courses and lose the certificates.
Context first - one question per message, nothing already answered:
Q: How many people?
A: About 20.
Q: Certificates?
A: Yes, worth keeping.
Q: Mandatory training?
A: Two courses a year.
Recommended next step - offered, not built:
Track enrolment, completion and certificate per person, and only add mandatory flags if something is actually enforced.
Workflow: Enrolment → Progress → Completion → Certificate → Record
Want the CSV, SQL, JSON Schema and Notion mapping for this?
Best Practices
- Build when requested; recommend and offer a build for advice-only requests.
- One question per message. A batched intake reads as a form and gets guessed at.
- Keep display names identical across CSV and JSON; document normalized SQL identifiers.
- Use
relationfor anything that points at another table,textonly for free text. - Money fields are
currency, nevertext. Dates aredate, never free text. - If the user requests an example row, keep it obviously fake so nobody imports it as real data.
Limitations
- Empty template only. It does not compute payroll, tax, leave balances or KPIs.
- Notion relations need both databases imported before the link column resolves.
- Select options are a starting set. Rename them to match how the business talks.
- No automation, reminders or sync. Those need the integration layer.
- Does not host courses or send learners anywhere.
- Legal, tax and HR review is still required before this drives real decisions.
Security & Safety Notes
- Never fill in real names, salaries, medical or banking data. Placeholders only.
- Label example rows as synthetic, and keep bank details masked.
- Local reads, generation commands, and validation are part of a requested artifact build.
- If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what
- Privacy, legal and disciplinary cases need a qualified human reviewer before anything
External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
is acted on.
Common Pitfalls
- Problem: a static mapping is described as a completed workspace build.
- Problem: asked all six questions in one message.
- Problem: built a full system when one table was asked for.
- Problem: all four artifacts drift apart.
- Problem: Notion import shows every column as Text.
Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
Solution: ask one, wait, and drop any the first answer already covered.
Solution: build what was requested; mention the parent skill separately.
Solution: derive all four from the field list in this file, never by hand.
Solution: that is expected. Apply the property mapping table once, after import.
Related Skills
- ](https://github.com/sickn33/agentic-awesome-skills/blob/main/CATALOG.md) - find the relevant module, then read its skill.
- @people-directory - the employee master record most modules link to.
- @notification-reminder-hub - turns due dates in this module into reminders.
Reusable Prompt
I want to set up learning management for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.