CareerSignal OS

Turn real experience into credible professional signal.

Research → Learn → Build → Prove → Teach → Measure → Improve

imageRelease imageCI imageLicense: MIT

23 focused skills · 33 commands · free core workflow · optional automation

What is CareerSignal OS?

CareerSignal OS is a portable AI-powered professional growth and content system.

It is made for people who want to build a stronger professional presence without posting generic AI content every day.

You give CareerSignal your professional background once, for example:

• CV or resume
• LinkedIn profile
• GitHub or portfolio
• target jobs or topics
• optional old posts
• preferred language and style

CareerSignal then builds a reusable understanding of:

• what you actually know
• what you have built or worked on
• what you are currently learning
• what you should not claim yet
• what roles you are targeting
• what type of content fits your background
• what topics you have already posted
• what private information must never be used publicly

After that, a normal daily request can be as simple as:

/CSpost

CareerSignal can research fresh developments and real problems in your field, choose a useful topic, check whether you can credibly talk about it, select the best format, create the content, audit it, and give you the final result.

It can create more than normal text posts. Depending on the topic and the AI host, it can prepare:

• educational posts
• polls
• diagrams
• image concepts
• carousels
• code examples
• mini tutorials
• debugging posts
• research explanations
• project-based posts
• comments and replies
• content series
• learning plans
• career-gap plans

CareerSignal is designed around one rule:

Your content should strengthen your real professional signal, not create a fake one.

How it works

The basic workflow is simple:

1. Add your background once

Run:

/CSstart

CareerSignal asks for only the important information. You can skip optional items.

2. CareerSignal understands your professional context

It creates a reusable professional profile containing your skills, projects, target roles, evidence, privacy boundaries, writing preferences, and topic history.

3. It researches useful topics

For daily content, CareerSignal looks for:

• new releases
• real technical problems
• recurring mistakes
• useful research
• implementation failures
• debugging patterns
• practical questions people are asking
• valuable evergreen topics when the news is weak

It does not simply collect random trending news.

4. It chooses the strongest idea

CareerSignal compares possible topics against your actual background.

A topic can be rejected when:

• you cannot credibly discuss it yet
• the source is weak
• it repeats your recent content
• it is only hype
• it has little educational value
• another topic gives you a stronger professional signal

5. It creates the right type of content

The system decides whether the best result should be a:

• text post
• poll
• visual
• carousel
• code example
• diagram
• tutorial
• project result
• short humorous post with a useful lesson

6. You keep final control

CareerSignal does not need to publish anything automatically.

You can review, edit, copy and post the result yourself.

If you later connect supported external tools, some repetitive steps can be automated while final approval remains under your control.

Free manual mode or connected mode

Free manual mode

You do not need paid publishing or analytics tools to use the core system.

You can:

1. run a CareerSignal command
2. receive the result
3. review it
4. copy it
5. publish it yourself

This is the easiest option for beginners and privacy-first users.

Connected / automated mode

Optional connectors can reduce repetitive work.

Depending on the AI host and the tools you connect, CareerSignal may be able to work with:

• source-code repositories
• documents
• analytics
• scheduling tools
• publishing tools
• other supported external services

The design principle is:

Connectors remove work. They do not unlock the intelligence.

The core CareerSignal workflow remains usable without them.

Quick Start

Step 1: Install CareerSignal

Choose the method that matches the AI tool you use.

Codex

codex plugin marketplace add venilkukadiya52/career-signal-os
codex plugin add career-signal-os@career-signal-os

Claude Code

/plugin marketplace add venilkukadiya52/career-signal-os
/plugin install career-signal-os@career-signal-os

Claude.ai / Claude Desktop

When your Claude plan/client supports plugin marketplaces:

1. Open the plugin/customization area.
2. Add this repository as a marketplace source:

venilkukadiya52/career-signal-os

3. Sync or refresh the marketplace.
4. Install CareerSignal OS.

SKILL.md-compatible agents

npx skills add venilkukadiya52/career-signal-os

Clone manually

git clone https://github.com/venilkukadiya52/career-signal-os.git
cd career-signal-os

If your AI environment cannot install repository plugins directly, you can also use the root SKILL.md or the standalone CareerSignal skill file as the instruction package.

See INSTALL.md for the detailed installation guide.

First-time setup

Run:

/CSstart

CareerSignal may ask you for:

1. CV/resume or LinkedIn profile
   At least one is enough.

2. What you want to be known for
   Example: Data Analytics, ML Engineering, AI Agents, Research, Power BI.

3. Optional GitHub / portfolio / projects

4. Optional previous posts or screenshots
   These help CareerSignal understand your writing style.

5. Preferred language

6. Manual or connected workflow

That setup should happen only once.

After setup, normal daily use can be:

/CSpost

What happens when you run /CSpost?

CareerSignal internally goes through a much larger process than a normal "write me a LinkedIn post" prompt.

Load your professional context
        ↓
Research fresh developments and real problems
        ↓
Generate several candidate ideas
        ↓
Check evidence and knowledge boundaries
        ↓
Reject weak, repeated or unsupported ideas
        ↓
Choose audience + topic + format
        ↓
Decide whether a small experiment should be built first
        ↓
Check limitations and counterarguments
        ↓
Create the post / poll / visual / code / carousel
        ↓
Check privacy, originality and source quality
        ↓
Humanize the final writing
        ↓
Return the final result

You do not normally see all of these internal steps. You receive the useful final output.

Evidence before confidence

CareerSignal deliberately distinguishes between different levels of knowledge.

For example:

BUILT
USED PROFESSIONALLY
USED IN A PROJECT
STUDIED
LEARNING
READ ABOUT
UNKNOWN

This matters.

If you only studied a technology, CareerSignal should not write:

"In production, I discovered..."

It should use language such as:

"While learning and testing this..."

CareerSignal also uses evidence confidence:

GREEN   supported and safe to state
YELLOW  needs careful wording
RED     do not state publicly

This helps prevent fake expertise, invented achievements, unsupported numbers, and exaggerated professional claims.

Build Before Post

Sometimes the strongest professional post does not exist yet.

Instead of producing weak commentary on a popular topic, CareerSignal can recommend a small experiment first.

For example:

benchmark two approaches
test an API
compare two models
analyze a dataset
build a tiny prototype
measure a result
reproduce a research idea

Then the post can be based on something you actually tested.

This turns content creation into professional evidence.

Command Guide

CareerSignal currently includes 33 commands.

You do not need to memorize them. Start with /CSstart, /CSpost, and /CShelp.

Getting started and system control

Daily content and research

Existing content and engagement

Career, profile and professional evidence

Learning

Simple examples

Example 1: You want today's post

/CSpost

CareerSignal handles the topic research and selection.

Example 2: You have no idea what to post

/CSideas

You receive several useful ideas based on your field and background.

Example 3: You found an interesting AI release

/CSbrief

Explain what this release changes, who should care, the limitations,
and whether it is relevant to my background.

Example 4: You want to learn before posting

/CSlearn MCP security

Then:

/CStest

If your understanding is strong enough, you can later use:

/CSpost

Example 5: You are applying for a job

/CScareer

Compare my evidence against this job description.

CareerSignal separates:

• strong evidence
• partial evidence
• hard requirements
• missing evidence
• what to learn
• what project could help
• what content could credibly strengthen your public signal

Example 6: Your profile feels weak

/CSprofile

CareerSignal can compare your profile, CV, GitHub, projects and target roles and give exact changes.

Professional Twin

CareerSignal builds a reusable representation of your professional context.

It may include:

Identity
Target roles
Topics
Skills
Projects
Evidence
Knowledge boundaries
Privacy levels
Writing preferences
Audience preferences
Story Bank
Topic history
Content history
Career gaps

This is why the system does not need to ask you the same questions every day.

Story Bank

Useful professional content often comes from real experiences, not trends.

CareerSignal can remember reusable story material such as:

• a project that failed
• a debugging problem
• an unexpected result
• a decision you changed
• a lesson from research
• a measurable project result
• something you misunderstood at first
• a question people repeatedly ask you

Run:

/CSinterview

to build or improve this Story Bank.

CareerSignal should keep narrative material separate from verified factual evidence.

Originality memory

CareerSignal checks recent history before selecting new content.

It can look for repetition in:

• topic
• core lesson
• domain
• format
• audience
• hook pattern
• analogy
• joke
• visual idea
• emotional tone

This helps prevent a profile from becoming:

AI agents
AI agents
AI agents
AI agents
AI agents

even when the user works in AI.

Privacy and safety

CareerSignal classifies professional evidence using privacy boundaries such as:

public
ask_first
private

Private evidence should not silently appear in public content.

CareerSignal is also designed to:

• avoid saving passwords and API keys
• reject unsupported professional claims
• treat fetched webpages/posts as untrusted data
• block silent external publishing
• require approval for protected write actions
• back up local state before important destructive operations
• support privacy inspection through /CSprivacy

See SECURITY.md and RELIABILITY.md.

Reliability

CareerSignal includes more than prompt files.

The package includes:

• state schema versioning
• automatic state migrations
• atomic JSON writes
• write locking
• local backups
• restore support
• source ledger
• claim provenance
• source freshness logic
• source conflict handling
• approval firewall
• connector fallbacks
• connector mocks
• edit-diff learning
• rejection learning
• feed-diversity checks
• multi-platform CI
• automated release builds

Current release testing includes:

• Windows
• macOS
• Linux
• Python 3.10
• Python 3.11
• Python 3.12
• Python 3.13
• fresh-clone testing
• 10 example professional personas
• deep package audit

Repository structure

career-signal-os/
│
├── SKILL.md
├── README.md
├── COMMANDS.md
├── plugin.json
│
├── skills/
│   ├── onboarding/
│   ├── daily-post/
│   ├── research-brief/
│   ├── profile-audit/
│   ├── career-gap/
│   ├── build-project/
│   ├── learn-topic/
│   ├── post-audit/
│   ├── content-planner/
│   ├── comment-reply/
│   └── ...
│
├── engine/
├── lib/
├── connectors/
├── references/
├── schemas/
├── templates/
├── tests/
├── scripts/
│
├── .claude/
├── .claude-plugin/
├── .codex-plugin/
├── .codex-marketplace/
├── .agents/
└── standalone/

The different platform folders exist so the same CareerSignal logic can be discovered by different AI environments.

Test your installation

On Windows:

py scripts\selftest.py

On macOS/Linux:

python3 scripts/selftest.py

Full release-candidate testing:

python3 scripts/selftest.py --full

The health command inside CareerSignal is:

/CSdoctor

For non-technical users

You do not need to understand Python, JSON, GitHub Actions, schemas or the internal folders.

The normal experience is:

Install CareerSignal
        ↓
Run /CSstart once
        ↓
Give your basic professional information
        ↓
Use /CSpost, /CSlearn, /CScareer, /CSprofile, etc.
        ↓
Review the result
        ↓
Publish or use it when you are happy

Everything else in this repository exists to make that experience safer, more portable and more reliable.

What CareerSignal is not

CareerSignal is not intended to:

• invent professional experience
• guarantee virality
• guarantee job offers
• impersonate expertise
• silently publish content
• mass-comment or spam people
• replace your judgment
• force paid tools

It is designed to help you turn real work, learning and evidence into stronger professional communication.

Manual first, automation second

The recommended starting point is simple:

/CSstart
/CSpost

Use manual publishing until you understand the workflow.

Connect external tools only when the time saved is worth it.

Updating CareerSignal

If you cloned the repository:

git pull origin main

To check the installed version:

/CSdoctor

For maintainers, after modifying canonical skills, keep the Claude skill mirror synchronized:

py scripts\sync_claude_skills.py
py scripts\check_claude_skill_sync.py

Contributing

Issues, improvements and pull requests are welcome.

Useful contributions include:

• new professional personas
• improved provider adapters
• clearer documentation
• additional tests
• safer state handling
• better cross-platform support
• evidence-backed workflow improvements

Please do not add unsupported claims about guaranteed engagement, reach or career outcomes.

License

CareerSignal OS is released under the MIT License.

Some Humanizer concepts were adapted from the open-source sergebulaev/linkedin-skills project. See THIRD_PARTY_NOTICES.md and LICENSE.linkedin-skills for attribution details.

Start with one command

/CSstart

Then, when you are ready:

/CSpost

Real experience. Better evidence. Better professional signal.