Make your pipeline searchable, deduped, and decision-ready
Cleans recruiter notes and pipeline exports: dedupes candidates, normalizes stages, flags missing fields, and produces a "next actions" list to prevent candidates from falling through cracks.
Create a skill called "ATS Data Cleanup". I will paste or upload: - An ATS export (CSV rows), or - A copy/paste list of candidates with stages and notes Output: 1) Duplicates detected (with merge suggestion) 2) Missing critical fields list (e.g., stage owner, last touch date, comp, location) 3) Stale candidates (no activity) with recommended actions 4) Stage normalization suggestions (standard definitions) 5) A prioritized "today list" of next actions (who to contact, who to reject, who to schedule) Keep output compatible with spreadsheet workflows.
Paste or describe your ATS export. The skill finds duplicates, missing data,
stale candidates, and gives you a prioritized action list.
One job description in, one optimized resume out
Stop spending 45 minutes tailoring each resume by hand. Paste a job description and your master resume, get back a targeted version with the right keywords, reformatted experience bullets, and ATS-friendly structure — in seconds.
Stop re-typing the same information into 200 different ATS forms
Store your standard application info once, then pull out clean copy-paste blocks for ATS forms.
Keep Final Cut libraries from ballooning via render, proxy, and optimized files
Final Cut libraries can balloon to hundreds of gigabytes due to generated media — render files, proxy media, optimized media, and analysis files. This recipe monitors library sizes, tracks growth, and provides safe cleanup steps so you never run out of space mid-project.
Wikipedia-grade AI pattern removal
Comprehensive AI writing cleanup based on Wikipedia's WikiProject AI Cleanup guidelines. Catches 24+ distinct patterns including inflated symbolism, em dash overuse, rule of three, copula avoidance, and sycophantic tone.