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Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill lofy-career- _meta.json277 B
- SKILL.md2.8 KB
Overview
This skill automates and organizes your job search workflow: application tracking, resume tailoring to specific job descriptions, interview preparation with company research, follow-up drafting, and pipeline analytics. It helps you stay strategic by avoiding duplicate applications, spotting response patterns, and recommending focused next steps. The goal is higher-quality applications and smarter interview prep, not just volume.
How this skill works
The skill reads your application pipeline and saved roles to avoid duplicates, then parses job descriptions to extract must-have and nice-to-have requirements. It maps requirements to your profile, suggests rewritten resume bullets, flags gaps and cover-letter tactics, and rates match strength. For interviews it performs targeted company and interviewer research, generates likely technical and behavioral questions with STAR-style prompts, creates talking points, and schedules prep reminders. Follow-up logic drafts appropriate emails based on timing and stage and updates the pipeline in real time when you report status changes.
When to use it
- Tracking all active and past applications to keep one source of truth
- Tailoring a resume and cover letter for a specific job posting
- Preparing for an upcoming phone screen, technical interview, or onsite
- Drafting and scheduling follow-ups, thank-you notes, or offer responses
- Analyzing pipeline performance and response patterns to improve targeting
Best practices
- Always confirm there are no duplicate entries before suggesting new roles
- Supply the full job description and your profile/career summary for precise tailoring
- Prioritize quality: focus on roles where match score is high or improvable
- For interviews, provide interviewer names and the scheduled time so research is targeted
- Log outcomes and feedback immediately to refine analytics and keyword strategies
Example use cases
- User shares a job posting → get parsed requirements, rewritten resume bullets, match rating, and cover-letter suggestions
- User schedules a phone screen → receive company research, likely questions, talking points, and a prep package 24 hours prior
- Five business days after applying with no response → generate and send a polite follow-up draft
- After receiving an offer → record details, celebrate, and run an offer-evaluation checklist comparing compensation and fit
- Run pipeline analytics after 20+ applications to detect low response rate and recommend changes
FAQ
It checks your current pipeline and saved roles before suggesting or adding a new application entry.
What happens if my match score is low?
The skill flags gaps, suggests resume rewrites and cover-letter strategies to address them, and recommends alternative roles or keywords to target.