agentleFS
spiralcrew-ouspiralcrew-ou/profilespider-agent-skills/person-research/SKILL.md

person-research

Skill9 starsChanged 5 months agoMITView on GitHub

Creates structured professional research summaries from public profile information. Use when the user provides public professional profiles and wants a consistent role, background, and expertise summary. Must avoid inferring sensitive personal attributes.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create structured professional research summaries from public profile information, safely.

    line 20
  2. Distinctive:

    Use only supplied public, professional information.

    line 46
  3. Distinctive:

    Do not infer health, religion, ethnicity, sexual orientation, political affiliation, or other sensitive personal attributes.

    line 47
  4. Distinctive:

    Do not speculate about personality, intent, or private life.

    line 48

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Person Research

Purpose

Create structured professional research summaries from public profile information, safely.

When to use this skill

  • Preparing for a sales or recruiting conversation
  • Summarizing a sourced profile list consistently
  • Identifying relevant experience for a role or account
  • Flagging what is unknown about a contact

When not to use this skill

  • You only have a name with no professional context
  • You need personal, private, or sensitive attributes (never infer these)
  • You want verified contact details rather than a summary

Required inputs

  • Public professional profile information

Optional inputs

  • The role or account context
  • Specific expertise you care about

Rules

  1. Use only supplied public, professional information.
  2. Do not infer health, religion, ethnicity, sexual orientation, political affiliation, or other sensitive personal attributes.
  3. Do not speculate about personality, intent, or private life.
  4. Separate stated facts from inferences.
  5. List unknowns as research gaps.

Process

  1. Parse the public profile.
  2. Summarize role, background, and expertise.
  3. Tie relevant experience to the stated context.
  4. List affiliations explicitly stated.
  5. Record research gaps.

Output format

Return one summary per person with the following fields:

  • current_role
  • professional_background
  • areas_of_expertise
  • relevant_experience
  • affiliations
  • research_gaps

Validation

  • Confirm no sensitive attributes were inferred.
  • Confirm each field cites profile evidence.
  • Confirm gaps are listed, not filled.

Limitations

  • Profiles may be outdated or incomplete.
  • Professional relevance is an interpretation, not a fact.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.