集成
Build boolean and X-ray search strings to source candidates. Use when asked to build a boolean search, source candidates on LinkedIn/Google, write an X-ray s...
Build boolean and X-ray search strings to source candidates. Use when asked to build a boolean search, source candidates on LinkedIn/Google, write an X-ray search, or find people with specific skills. Produces ready-to-paste boolean strings (with synonyms, must-haves, and exclusions), X-ray variants for LinkedIn/GitHub, and a refinement plan to widen or narrow the result set.
Great sourcing starts with a precise search. The skill is turning a role into the right combination of synonyms (titles and skills people actually use), must-haves, and exclusions — then refining as the results come back. This skill writes those strings, including X-ray searches that reach profiles via Google, and a plan to tune the funnel.
Given "find senior backend engineers in Berlin", build the strings anyway — infer the likely title and skill synonyms, seniority signals, and sensible exclusions, labelling assumptions. Provide both a tight and a broad version. Never hand back questions instead of usable strings.
Ask for these only if they aren't already provided (else infer and label):
1. Keyword map — the building blocks before the string:
2. Boolean strings — ready to paste:
AND / OR / NOT / quotes / parentheses correctly.3. X-ray variants — Google searches into specific sites:
site:linkedin.com/in ...), GitHub (site:github.com ...), and any relevant community/portfolio sites — with the same keyword logic.4. Refinement plan — what to change if results are too few (drop a must-have, add synonyms, broaden title) or too many/noisy (add exclusions, require more skills, tighten seniority).
5. Notes — platform quirks (LinkedIn boolean only on certain fields/tiers), and a reminder to keep sourcing criteria job-related and non-discriminatory (no filtering on protected characteristics).
site: syntaxTalent-sourcing practice — synonym-rich boolean construction, X-ray search, precision/recall tuning, and non-discriminatory, job-related criteria.
Find LinkedIn candidates matching a role spec, shortlist them, and enrich the shortlist with current role and experience. Use when the user wants to source, find, or search for candidates, talent, or people matching criteria like title, school, or current/past employer (e.g. "engineers at Shopify who used to work at Amazon").
Search for people at a company by domain and role keywords. Returns obfuscated profiles (first name, last-name initial, title, company). No email addresses....
Optimise a LinkedIn profile to be found and to convert. Use when asked to write or improve a LinkedIn headline, About section, or profile, or to make a profi...
Researches job postings, hiring signals, and freelance gigs via the Crawlora API — Indeed, Google/Amazon/Apple/Meta/Tesla careers sites, any company's ATS board (Greenhouse, Lever, Workday, SmartRecruiters, Ashby, and more), plus Upwork and Fiverr — returning clean JSON. Use when the user wants to search job postings, see what a specific company is hiring for, aggregate hiring signals for a company, or research freelance gigs and sellers.
Searches LinkedIn, Poslovi Infostud, and HelloWorld.rs for jobs matching your target roles. Scores each listing against your resume PDF (1-10).
Searches Indeed job postings and pulls single job listings via the Crawlora API — keyword + location search, location autocomplete, and job detail by job key — returning clean JSON. Use when the user wants to search Indeed for jobs, look up location suggestions for an Indeed search, or fetch the full detail of a specific Indeed posting.