agentsclimarketplace

Career

Skill asong56/skills/11-vertical/career

AI job search command center -- evaluate offers, generate CVs, scan portals, track applicationsFrom its SKILL.md

Install
npx -y skills add asong56/skills --skill career

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.8 KB, 993 tokens by cl100k_base, as published. Nobody here has run it

career-ops -- Router

Mode Routing

Determine the mode from $mode:

InputMode
(empty / no args)discovery -- Show command menu
JD text or URL (no sub-command)auto-pipeline
ofertaoferta
ofertasofertas
contactocontacto
deepdeep
interview-prepinterview-prep
interviewinterview
pdfpdf
latexlatex
trainingtraining
projectproject
trackertracker
pipelinepipeline
applyapply
scanscan
batchbatch
patternspatterns
followupfollowup
updateupdate
covercover

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.


Discovery Mode (no arguments)

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 pdf       → PDF only, ATS-optimized CV
  /career-ops latex     → Export CV as LaTeX/Overleaf .tex
  /career-ops cover     → Cover letter: standalone JD paste or /career-ops cover {slug}
  /career-ops training  → Evaluate course/cert against North Star
  /career-ops project   → Evaluate portfolio project idea
  /career-ops tracker   → Application status overview
  /career-ops apply     → Live application assistant (reads form + generates answers)
  /career-ops scan      → Scan portals and discover new offers
  /career-ops batch     → Batch processing with parallel workers
  /career-ops patterns  → Analyze rejection patterns and improve targeting
  /career-ops followup  → Follow-up cadence tracker: flag overdue, generate drafts
  /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:

Modes that require _shared.md + their mode file:

Read modes/_shared.md + modes/{mode}.md

Applies to: auto-pipeline, oferta, ofertas, pdf, contacto, apply, pipeline, scan, batch

Standalone modes (only their mode file):

Read modes/{mode}.md

Applies to: tracker, deep, interview-prep, interview, latex, training, project, patterns, followup, cover

Modes delegated to subagent:

For scan, apply (with Playwright), and pipeline (3+ URLs): launch as Agent with the content of _shared.md + modes/{mode}.md injected into the subagent prompt.

Agent(
  subagent_type="general-purpose",
  prompt="[content of modes/_shared.md]\n\n[content of modes/{mode}.md]\n\n[invocation-specific data]",
  description="career-ops {mode}"
)

Execute the instructions from the loaded mode file.

What ships with it: 92 files

968.9 KB alongside SKILL.md, 41 of them executable

config/

52 more files not listed here. See all 92 in the repository.

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.