Individual skill
people-lookalike-ranking
Use this skill when one prospect, customer, champion, or operator is a proven fit and the user wants more people with the same useful characteristics. Produces a deliberately defined similarity signature, a scored and explainable shortlist, a quality threshold, and a controlled widening plan when the market is too narrow.
skills/nylan-richard/people-lookalike-ranking/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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Browse files
SKILL.mdcore · 5,622 bytesreferences/scoring-rubric.mddoc · 1,661 bytesreferences/worked-example.mddoc · 1,832 bytes
Read excerpt
Use this when "find more people like this one" needs to become an explainable search rather than a black-box recommendation. It produces a ranked shortlist where every inclusion and every score can be challenged.
## Read the seed as evidence
Load the seed person's current role, employer, location, tenure, work history, and relevant skills. Prefer the current role record over a profile headline, which may be aspirational, stale, or decorated with unrelated claims.
Separate attributes into three groups:
- **Outcome-linked:** facts plausibly connected to why the seed worked, such as owning the relevant function at the right company stage.
- **Contextual:** useful constraints such as geography, language, or market.
- **Incidental:** biography details that happen to be present but have no demonstrated connection to fit.
Do not copy every visible attribute into the search. Similarity is useful only when it preserves the reason the seed matters.