Agent skill

Learning Career Development

by sickn33 in sickn33/agentic-awesome-skills

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

MITAuto-check passed

Install Learning Career Development

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill learning-career-development -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills learning-career-development --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learning-career-development .claude/skills/learning-career-development && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
learning-career-development
GitHub stars
47k
Used in
1 other repo
Token cost
~3.9k tokens
SKILL.md length
1,405 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Learning records
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
  • Reaches json-schema.org

What it does

Learning Career Development is an agent skill from sickn33/agentic-awesome-skills. Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained. Use for learning records.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Learning records

Example prompts

  • “/learning-career-development”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, csv, sql, json and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • json-schema.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Learning Career Development loads about 3.9k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 1,405 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,405 words, ~3,880 tokens.

Download SKILL.mdSave it as .claude/skills/learning-career-development/SKILL.md (or your agent's skills folder).
name
learning-career-development
description
Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained. Use for learning records.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, develop
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

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.

yaml
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.

csv
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
sql
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);
json
{
  "$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"
  ]
}
markdown
| 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

#FieldTypeSQLJSON SchemaNotionCSV example
1Course / TrainingtextVARCHAR(255)stringTextAdvanced SQL
2Certificate EarnedcheckboxBOOLEANbooleanCheckboxFALSE
3Completion DatedateDATEstring, format: dateDate2026-10-30
4Course CategoryselectVARCHAR(100)stringSelect (add options after import)General
5Course URLurlTEXTstring, format: uriURLhttps://example.com/courses/leadership
6Delivery MethodtextVARCHAR(255)stringTextSelf-paced online
7DepartmenttextVARCHAR(255)stringTextDelivery
8Duration (Hours)numberNUMERICnumberNumber2.5
9Employee NametextVARCHAR(255)stringTextAarav Sharma
10Course RequestrelationVARCHAR(255)stringRelation (link to the target database)CRS-2026-018
11LMS IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
12MandatorycheckboxBOOLEANbooleanCheckboxFALSE
13Noteslong_textTEXTstringTextCourse completion tracked to the February cohort; one learner has not started.
14Progress %numberNUMERICnumberNumber60
15ProvidertextVARCHAR(255)stringText Udemy
16ScorenumberNUMERICnumberNumber4
17Skills GainedtextVARCHAR(255)stringTextAdvanced SQL, stakeholder mapping, contract review.
18Start DatedateDATEstring, format: dateDate2026-08-03
19StatusselectVARCHAR(100)stringSelect (add options after import)In Progress
Show full SKILL.md (484 more words)Show less

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 relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, 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. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.

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.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/learning-career-development of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Learning Career Development next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Learning Career Development compared with similar skills
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Learning Career Development this skillsickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT
Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs13k3 repos~2.7kAutomated safety check: PassMIT
Fal Trainnexu-io/open-design100k—~293Automated safety check: PassApache-2.0
Train Poseruvnet/RuView97k—~504Automated safety check: PassMIT
Iot Registerruvnet/ruflo74k—~263Automated safety check: PassMIT
Neural Trainingruvnet/ruflo74k3 repos~432Automated safety check: PassMIT

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Questions about Learning Career Development

What does Learning Career Development do?

Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained. Learning Career Development is an agent skill from sickn33/agentic-awesome-skills. Training register: course, provider, delivery method, department, employee, duration, progress percentage, score, mandatory flag, certificate earned and skills gained.

When should I use Learning Career Development?

Learning Career Development fits situations like: learning records.

How do I install Learning Career Development in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill learning-career-development -a claude-code`. Or copy the skill folder (skills/learning-career-development in sickn33/agentic-awesome-skills) into .claude/skills/learning-career-development in your project. Claude Code loads it when a task matches its description.

How do I install Learning Career Development in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill learning-career-development -a codex`. Or copy the skill folder (skills/learning-career-development in sickn33/agentic-awesome-skills) into .agents/skills/learning-career-development in your project. Codex loads it when a task matches its description.

Can I use Learning Career Development in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill learning-career-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-career-development, .gemini/skills/learning-career-development, .github/skills/learning-career-development and .opencode/skills/learning-career-development in your project.

What does Learning Career Development need to run?

SKILL.md names no scripts, command-line tools or credentials: Learning Career Development is instructions for the agent only.

Does Learning Career Development access the network?

SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Learning Career Development safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Learning Career Development use?

Learning Career Development is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Learning Career Development use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Learning Career Development?

Skills that share tags, products or a category with Learning Career Development: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Fal Train (nexu-io/open-design, 100k stars), Train Pose (ruvnet/RuView, 97k stars) and Iot Register (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Learning Career Development?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.