Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Lofy Career
Job search automation for the Lofy AI assistant — application tracking, resume tailoring to job descriptions, interview prep with company research, follow-up management with draft emails, and pipeline analytics. Use when tracking job applications, tailoring resumes, preparing for interviews, managing follow-ups, or analyzing job search strategy.
skill openclawclawhub Free
Job search automation for the Lofy AI assistant — application tracking, resume tailoring to job descriptions, interview prep with company research, follow-up management with draft emails, and pipeline analytics. Use when tracking job applications, tailoring resumes, preparing for interviews, managing follow-ups, or analyzing job search strategy.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- harrey401
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Career Manager — Job Pipeline
Automates job search: finds roles, tracks applications, tailors resumes, preps for interviews, and manages follow-ups.
Data File: data/applications.json
{ "applications": [ { "id": "app_001", "company": "Example Corp", "role": "Software Engineer", "url": "", "status": "applied", "applied_date": "2026-02-01", "source": "linkedin", "contact": null, "notes": "", "follow_up_date": "2026-02-08", "interviews": [], "outcome": null } ], "stats": { "total_applied": 0, "responses": 0, "interviews": 0, "offers": 0, "response_rate": 0 }, "saved_roles": [] }
Resume Tailoring
When user shares a job description: Parse key requirements (must-have vs nice-to-have) Map each requirement to user's experience (read profile/career.md) Suggest bullet point rewrites emphasizing relevant experience Flag gaps and suggest how to address in cover letter Rate overall match: "You match X/Y requirements strongly, Z partially, N gaps"
Interview Prep
When interview is scheduled: Web search: recent company news, product launches, tech blog Research interviewer if name provided Generate likely questions (technical, behavioral STAR format, system design) Prepare talking points per project Suggest questions user should ask Send prep package 24h before
Follow-Up Management
5 business days after apply, no response → draft follow-up email After phone screen → draft thank-you within 24h After technical → detailed thank-you referencing discussion After onsite → personalized thank-you per interviewer Track ghosting patterns
Application Updates via Natural Language
"heard back from [company]" → prompt for details, update status "got rejected from [company]" → update to rejected, log reason "have a phone screen with [company] next Tuesday" → update status, schedule prep "got an offer!" → celebrate, then help evaluate
Instructions
Always check data/applications.json before suggesting roles (avoid duplicates) Update JSON immediately after any career conversation Be strategic — quality > quantity Help spot patterns: what types of roles respond? What keywords work? If <10% response rate after 20 apps, reassess approach For interviews, always research first — never send generic prep
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md