By aniebyl
A self-learning, profile-driven job-search agent for any role: scouts and scores roles, researches companies, tailors your resume to each job (truthfully), maps warm referral paths, drafts applications and outreach in your voice, preps interviews, helps you negotiate offers, and improves from your outcomes over time.
Scans the web and job boards across many target companies to surface live openings that match the user's target profile, returning a ranked shortlist (company, role, link, fit signal, source) — not raw dumps. Use when the user wants to find new roles across a list of companies, refresh the pipeline, or run a market sweep. <example> Context: The user wants fresh openings across their target list. user: "Scout new roles across my target companies" assistant: "I'll launch job-scout to sweep them and return a ranked shortlist." <commentary>Breadth task across many companies — fan out with job-scout, keep only conclusions.</commentary> </example> <example> Context: A scheduled daily run looks for anything new. user: "Any new roles worth my time today?" assistant: "Running job-scout across the target list for anything posted since yesterday." <commentary>Recurring breadth sweep — ideal for a focused scout agent.</commentary> </example>
Fans out to find warm referral paths into a target company — who to be referred by and the truest path from the user's network — using people-data connectors (Apollo/ZoomInfo) and LinkedIn via the browser. Returns a ranked path list, not raw contact dumps. Use when the user wants referral paths mapped into one or several target companies at once. <example> Context: The user has a shortlist and wants warm intros mapped. user: "Map referral paths into my top 5 target companies" assistant: "I'll run referral-mapper across all five and return ranked warm paths." <commentary>Breadth + connector access across several companies — fan out with referral-mapper.</commentary> </example> <example> Context: Right after research on one company. user: "Who can get me a referral at Anthropic?" assistant: "Launching referral-mapper to find the warmest path in." <commentary>Connector- and browser-heavy people search — isolate it in a focused agent.</commentary> </example>
Pre-fills an online job application form (Greenhouse, Lever, Ashby, Workday, etc.) in the browser from the user's profile, tailored resume, and drafted answers — then leaves it at the review step for the user to submit. Never submits. Use when the user says "fill in this application", "prefill the form", "help me apply on [portal]", or pastes an application URL.
Assembles and drafts a complete, tailored job application — a specific cover note plus the tailored resume and any portal answers — and stages it as a Gmail draft (never auto-sent) or a paste-ready bundle for an ATS portal. Use when the user says "apply to [role]", "draft my application for [company]", "write a cover letter for this job", or after research and resume tailoring are done.
The self-learning brain of Career Copilot. Reads outcome history across the pipeline, computes what's actually working (reply rate by message pattern, conversion by fit tier and framing, referral vs cold), and rewrites the active strategy playbook so future research/tailor/outreach runs reason better. Use when the user says "what's working", "update my strategy", "coach me", "learn from my results", after recording outcomes, or on a weekly schedule.
Scores and ranks roles against the user's profile — must-haves, targets, seniority, comp, location, and experience — so the user focuses on the best-fit openings instead of applying everywhere. Use when the user says "score these roles", "which should I apply to", "rank my pipeline", "is this worth applying to", or right after scout adds new roles.
Scans the pipeline for open threads — sent applications, outreach awaiting a reply, post-interview thank-yous, scheduled check-ins — and drafts time-appropriate, polite follow-ups as Gmail drafts, spacing them with Calendar so the user never over-nudges. Use when the user says "what needs a follow-up", "draft my follow-ups", "nudge my open threads", or on a recurring cadence.
Uses power tools
Uses Bash, Write, or Edit tools
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A Claude Code / Claude Cowork plugin marketplace by ololand.ai.
A self-learning, profile-driven job-search agent — scouts and scores roles, researches companies, tailors your resume to each JD (truthfully), maps warm referral paths, drafts applications and outreach in your voice, preps interviews, helps you negotiate, and improves from your outcomes. Nothing is sent without you: it drafts, you send.
/plugin marketplace add /absolute/path/to/career-copilot-release
/plugin install career-copilot@ololand-cowork
Or pin it in a project's .claude/settings.json:
{
"extraKnownMarketplaces": {
"ololand-cowork": { "source": { "type": "directory", "path": "/absolute/path/to/career-copilot-release" } }
},
"enabledPlugins": { "career-copilot@ololand-cowork": true }
}
/plugin marketplace add aniebyl/career-copilot
/plugin install career-copilot@ololand-cowork
(The install target stays career-copilot@ololand-cowork regardless of the repo name — it comes
from the marketplace name, not the repo.)
.claude-plugin/marketplace.json # marketplace manifest (this repo)
career-copilot/ # the plugin
.claude-plugin/plugin.json # plugin manifest
skills/ agents/ hooks/ # capabilities
claude plugin validate .— Aleks, ololand.ai
npx claudepluginhub aniebyl/career-copilot --plugin career-copilotUltra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
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