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").
Integrations
Boolean Search Builder
Try itBuild 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...
What it does
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.
The skill document
Boolean Search Builder Skill
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.
Working from a brief
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.
Required Inputs
Ask for these only if they aren't already provided (else infer and label):
- The role — title(s), seniority, and the core skills/tools that define a fit.
- Must-haves vs. nice-to-haves — non-negotiables vs. signals that just boost.
- Filters — location (and remote?), industry, language, or other constraints.
- Where you'll search — LinkedIn, a job board, GitHub, or general web (X-ray).
Output Format
Sourcing Search: [role]
1. Keyword map — the building blocks before the string:
- Titles (with synonyms/variants), Skills/tools (with synonyms), Seniority signals, Exclusions (junior, recruiter, intern, unrelated meanings).
2. Boolean strings — ready to paste:
- Tight (high precision) and Broad (high recall) versions, using
AND/OR/NOT/ quotes / parentheses correctly.
3. X-ray variants — Google searches into specific sites:
- LinkedIn (
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).
Quality Checks
- Title and skill synonyms are included — not just the literal words from the brief
- Boolean syntax is correct (quotes for phrases, parentheses around OR groups, NOT for exclusions)
- Both a precision and a recall version are provided
- X-ray variants target the right sites with working
site:syntax - A concrete refine-up / refine-down plan is included
- Criteria stay job-related; protected characteristics are never used as filters
Anti-Patterns
- Do not search only the exact title — you'll miss the synonyms and variants people actually use
- Do not write broken boolean (unbalanced parentheses, missing quotes) — it silently returns junk
- Do not over-constrain with every nice-to-have — start broad enough to see the market, then narrow
- Do not filter on age, gender, ethnicity, or other protected/proxy signals — keep it job-related
- Do not ignore platform limits — note where boolean isn't supported or behaves differently
Based On
Talent-sourcing practice — synonym-rich boolean construction, X-ray search, precision/recall tuning, and non-discriminatory, job-related criteria.
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