https://jda.kolygin.com/ · Workflow & Planning
4 items
Instant prescoring of job descriptions against your CV via local or cloud LLMs. Job Description Analyzer (JDA) helps you evaluate vacancies against your CV in seconds. Highlight relevant blocks on any job page, let your preferred LLM analyse the text, and get a structured report ready to share. Key features: • CV-to-JD match report in seconds (strengths, gaps, missing skills, actions). • Works on any job site: highlight blocks with undo/redo or use per-site Auto-grab rules (CSS selectors, DOM chains, meta-tag templates). • Page metadata toolkit: inspect meta / schema.org tags and feed them into analysis, results, and exports. • Multi-CV support to compare different resume versions per role. • Persistent workspace: overlay or side panel, plus right-click actions. • Flexible prompts + per-model sampling controls for reliable, consistent output. • Save/export results (Notion, Markdown), with import/export of settings. Privacy-friendly by design: • CVs, prompts, and API keys stay in your browser. • No analytics, no background syncing. • Optional host permissions requested only when you enable a provider. Works with local engines (for example, Ollama) and a wide range of user-configured cloud LLM providers. Perfect for recruiters, career coaches, or job seekers who want fast, repeatable evaluations of job requirements.
Jun 11, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.