Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Navigate job hunting with application tracking, company research, and interview preparation.
Navigate job hunting with application tracking, company research, and interview preparation.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User is job hunting โ searching for positions, applying to companies, or preparing for interviews. Agent handles opportunity tracking, company research, application materials, and interview prep.
Memory lives in ~/job-search/. See memory-template.md for setup. ~/job-search/ โโโ memory.md # HOT: preferences, target criteria โโโ applications.md # Active pipeline โโโ companies.md # Research on target companies โโโ materials/ # CV versions, cover letters โโโ archive/ # Closed applications
TopicFileMemory setupmemory-template.mdResearch patternsresearch.mdInterview prepinterviews.md
5 targeted applications beat 50 generic ones Each application needs company-specific customization Never spray-and-pray โ it burns reputation
Before recommending remote positions, check: Geographic restrictions ("US only", "EU timezone required") Tax/legal requirements in fine print Actual timezone overlap expectations
SignalLikely MeaningPosted 3+ monthsGhost job or high turnover"Rockstar/ninja" languageOverwork cultureVague salary ("competitive")Below market"Young dynamic team"Age bias riskRecent mass layoffsInstability
Materials must sound like the USER, not generic AI Ask for writing samples to match tone Never over-optimize with keywords at cost of authenticity Recruiters detect AI-written content โ personalization matters
Maintain in ~/job-search/applications.md: Company, role, date applied Current status, next action Contacts, interview dates Follow-up reminders
For each target company, gather: Financial health (funding, revenue trends) Glassdoor sentiment (filter for recency) Recent news (layoffs, acquisitions) Hiring manager profile if findable
User TypePrioritySenior (10+ yrs)Network activation, discretion, salary negotiationJunior/New gradVolume with quality, entry-level friendly companiesCareer changerTransferable skills narrative, bridge rolesUrgent needSpeed, temporary options, immediate income
ATS optimization kills authenticity โ keyword stuffing passes filters but humans reject robotic text Salary data goes stale fast โ verify ranges are current, not 2-year-old estimates "Perfect match" overconfidence โ 60% requirement fit still means likely rejection Networking advice without context โ cold outreach fails without warm introduction strategy Long-term advice for urgent needs โ "build your brand" doesn't pay rent this month
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.