career-ops
career-ops-hq/career-ops · Agent Skill
AI job search command center: evaluates offers, generates CVs, scans portals, tracks applications, and prepares for interviews.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | career-ops-hq/career-ops ↗ |
| Skill folder | career-ops |
| Stars | 70,888 |
| Bundled files | 1 |
| License | MIT |
| Last updated | August 26, 2026 |
| Links | Skill source ↗ · Repository ↗ |
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
Install the “career-ops” skill from mozgi.io (https://mozgi.io/skills/career-ops/) for me. 1. Download the archive: https://mozgi.io/skills/career-ops/download If it fails, take the skill folder from the source: https://github.com/career-ops-hq/career-ops/tree/main/.agents/skills/career-ops 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “career-ops” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/career-ops/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/career-ops-hq/career-ops.git /tmp/career-ops mkdir -p .claude/skills cp -r /tmp/career-ops/.agents/skills/career-ops .claude/skills/career-ops
Restart Claude Code — the skill appears in the list; call it manually with /career-ops. For all projects use ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/career-ops-hq/career-ops.git /tmp/career-ops mkdir -p .agents/skills cp -r /tmp/career-ops/.agents/skills/career-ops .agents/skills/career-ops
Codex looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $career-ops. For all projects use ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/career-ops-hq/career-ops.git /tmp/career-ops mkdir -p .cursor/skills cp -r /tmp/career-ops/.agents/skills/career-ops .cursor/skills/career-ops
Cursor picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/career-ops-hq/career-ops.git /tmp/career-ops mkdir -p .gemini/skills cp -r /tmp/career-ops/.agents/skills/career-ops .gemini/skills/career-ops
Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlycareer-ops -- Router
career-ops is a multi-CLI job-search command center. The routing below is shared across supported agent CLIs even when the invocation surface differs.
Project Root Resolution
Before reading any repo-relative path, derive PROJECT_ROOT from this loaded SKILL.md: start at the skill file's directory and walk upward until the nearest directory containing both AGENTS.md and modes/. Resolve every path in this router (modes/, config/, data/, scripts, templates, and output paths) against PROJECT_ROOT, never against the process's current working directory. This is required even when the checkout itself is nested (for example Development\\career-ops) or the command starts from a subdirectory. If those two sentinels cannot be found, stop and locate the career-ops checkout before reading or writing files.
Invocation Notes
- CLIs with slash-command registration can expose this router as
/career-ops. - In Cursor, this skill lives at
.cursor/skills/career-ops/and is auto-discovered; ask for a mode by name, or paste a JD/URL to trigger auto-pipeline. - Interactive Codex sessions use
codexin the repo root. Slash commands are not guaranteed in Codex, so ask Codex to run the same mode by name if/career-opsis unavailable. - Headless Codex workers use
codex exec "prompt". - The routing semantics below stay the same regardless of whether the entrypoint is a slash command or a natural-language prompt.
Codex prompt examples that map to the same router semantics:
Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123
Run the career-ops scan mode and summarize new matches.
Run the career-ops pipeline mode for data/pipeline.md.
Run the career-ops pdf mode for the latest evaluated role.
Run the career-ops tracker mode and summarize the current statuses.
Mode Routing
Determine the mode from $mode:
| Input | Mode |
|-------|------|
| (empty / no args) | discovery -- Show command menu |
| JD text or URL (no sub-command) | auto-pipeline |
| oferta | oferta |
| ofertas | ofertas |
| contacto | contacto |
| deep | deep |
| interview-prep | interview-prep |
| interview | interview |
| eu-swe | regional/eu-swe |
| eu-fintech | regional/eu-fintech |
| interview/plan | interview/plan |
| interview/practice | interview/practice |
| interview/debrief | interview/debrief |
| pdf | pdf |
| text | text |
| latex | latex |
| latex-tex | latex-tex |
| email | email |
| add | add |
| expand | expand |
| training | training |
| project | project |
| tracker | tracker |
| agent-inbox | agent-inbox |
| inbox | agent-inbox |
| pipeline | pipeline |
| apply | apply |
| scan | scan |
| discover | discover |
| batch | batch |
| patterns | patterns |
| offer-prep | offer-prep |
| titles | titles |
| upskill | upskill |
| followup | followup |
| reply-watch | reply-watch |
| outcome | outcome |
| interview-redflag | interview-redflag |
| update | update |
| cover | cover |
Auto-pipeline detection: If $mode is not a known sub-command AND contains JD text (keywords: "responsibilities", "requirements", "qualifications", "about the role", "we're looking for", company name + role) or a URL to a JD, execute auto-pipeline.
If $mode is not a sub-command AND doesn't look like a JD, show discovery.
---
Output Language Directive
Before executing any mode, read config/profile.yml if it exists and resolve:
language.output→ ISO language code for human-facing output. Default:en.language.modes_dir→ optional market-mode directory. This controls market vocabulary and local evaluation rules only.
Inject this directive after loading the mode instructions and before producing any user-visible content:
> Write all human-facing output in {language.output} regardless of the language of these instructions or of the job description. This includes reports, tracker notes, PDFs, cover letters, outreach, interview prep, form answers, and summaries. If language.modes_dir supplies market-specific vocabulary, keep the market logic but explain terms in {language.output} when needed.
language.output is authoritative for prose. modes_dir is market context; it must not force the prose language.
---
Discovery Mode (no arguments)
If your CLI supports /career-ops, show this menu. In Codex, surface the same options in plain text and map the requested mode the same way.
Concrete equivalents for Codex prompt-driven sessions:
/career-ops {JD} ↔ "Evaluate this JD with career-ops auto-pipeline: {JD or URL}"
/career-ops scan ↔ "Run the career-ops scan mode and summarize new matches."
/career-ops pipeline ↔ "Run the career-ops pipeline mode for data/pipeline.md."
/career-ops pdf ↔ "Run the career-ops pdf mode for the latest evaluated role."
/career-ops email ↔ "Run the career-ops email mode for the latest evaluated role."
/career-ops tracker ↔ "Run the career-ops tracker mode and summarize the current statuses."
Show this menu:
career-ops -- Command Center
Available commands:
/career-ops {JD} → AUTO-PIPELINE: evaluate + report + PDF + tracker (paste text or URL)
/career-ops pipeline → Process pending URLs from inbox (data/pipeline.md)
/career-ops oferta → Evaluation only A-F (no auto PDF)
/career-ops ofertas → Compare and rank multiple offers
/career-ops contacto → LinkedIn power move: find contacts + draft message
/career-ops deep → Deep research prompt about company
/career-ops interview-prep → Generate company-specific interview prep doc
/career-ops interview → Interactive profile/CV onboarding interview
/career-ops eu-swe → Calibrate a European SWE application before CV/apply/interview
/career-ops eu-fintech → Scan 21 EU fintech portals for Product Manager roles (zero-token)
/career-ops interview/plan → Time-blocked prep plan for an upcoming interview
/career-ops interview/practice → Practice interview, one question at a time with feedback
/career-ops interview/debrief → Post-interview debrief: close gaps, predict next round
/career-ops pdf → PDF only, ATS-optimized CV
/career-ops text → Tailored markdown CV (mirrors cv.md, no PDF)
/career-ops latex → Export CV as LaTeX/Overleaf .tex
/career-ops latex-tex → Tailor your own resume.tex in place (opt-in; cv.md stays default)
/career-ops cover → Cover letter: standalone JD paste or /career-ops cover {slug}
/career-ops email → Formal application email draft (draft-only; never sends, submits, or clicks)
/career-ops add → Add a project/paper/role to your CV (fetch + preview + confirm)
/career-ops expand → Auto-discover and add missing competencies from profile links
/career-ops training → Evaluate course/cert against North Star
/career-ops project → Evaluate portfolio project idea
/career-ops tracker → Application status overview
/career-ops agent-inbox → Queue/drain requests for the next session (data/agent-inbox.md)
/career-ops apply → Live application assistant (reads form + generates answers)
/career-ops scan → Scan portals and discover new offers
/career-ops discover → Resolve a company list to scannable ATS boards + append to portals.yml (zero-token)
/career-ops batch → Batch processing with parallel workers
/career-ops patterns → Analyze rejection patterns and improve targeting
/career-ops offer-prep → Read a received offer/contract with the candidate: clause walk + lawyer questions (not legal advice)
/career-ops titles → Suggest adjacent job titles from your CV to broaden the search
/career-ops upskill → Aggregate skill-gap analysis from your evaluated reports
/career-ops followup → Follow-up cadence tracker: flag overdue, generate drafts
/career-ops outcome → Record application outcome & archive artifacts
/career-ops update → Update career-ops system files with diff preview + compat check
Inbox: add URLs to data/pipeline.md → /career-ops pipeline
Or paste a JD directly to run the full pipeline.
---
Context Loading by Mode
After determining the mode, load the necessary files before executing:
If modes/_custom.md exists, read it after modes/_profile.md and before the selected mode file. It contains user house rules and procedural preferences. It may override workflow/style defaults, but it never adds factual claims about the candidate.
Modes that require _shared.md + their mode file
Read modes/_shared.md + modes/_profile.md (if exists) + modes/_custom.md (if exists) + modes/{mode}.md
Applies to: auto-pipeline, oferta, ofertas, pdf, text, contacto, apply, pipeline, scan, batch
Standalone modes with profile and custom context
Read modes/_profile.md (if exists) + modes/_custom.md (if exists) + modes/{mode}.md
Applies to: tracker, agent-inbox, deep, interview-prep, interview, regional/eu-swe, interview/plan, interview/practice, interview/debrief, latex, latex-tex, training, project, patterns, titles, upskill, followup, reply-watch, outcome, cover, email, add, offer-prep, discover
Modes delegated to subagent
For scan, apply (with Playwright), and pipeline (3+ URLs): launch as a worker/subagent with the content of _shared.md + _profile.md (if exists) + _custom.md (if exists) + modes/{mode}.md injected into the worker prompt. If your CLI exposes an Agent(...) primitive, the call looks like this:
Agent(
subagent_type="general-purpose",
prompt="[output language directive]\n\n[content of modes/_shared.md]\n\n[content of modes/_profile.md if exists]\n\n[content of modes/_custom.md if exists]\n\n[content of modes/{mode}.md]\n\n[invocation-specific data]",
description="career-ops {mode}"
)
Execute the instructions from the loaded mode file.
Frequently asked questions
What does the career-ops skill do?
AI job search command center: evaluates offers, generates CVs, scans portals, tracks applications, and prepares for interviews.
How do I install career-ops?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with career-ops?
Skills are plain Markdown instructions (the Agent Skills format), so career-ops works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is career-ops free?
The skill is published openly by career-ops-hq under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.