Inputs
Provide these when prompted. The skill asks for anything missing before it runs.
Required
- Professional profiles with roles
Optional
- Your persona definitions
- The product or deal context
Agent Skill
Persona Classification
Classify professional profiles into buyer, influencer, user, decision-maker, and other personas.
Version 1.0 Updated June 2026 SKILL.md MIT 6 min read
Overview
What this skill does
In any account, contacts play different roles — economic buyer, technical user, influencer — and treating them identically wastes outreach and misroutes messaging.
This skill classifies each professional profile into a persona based on role evidence, estimates their likely position in the decision process, and reports confidence and an alternate persona where the signal is mixed — without inferring anything sensitive about the person.
When to use it
Best used for
- Routing contacts to the right messaging
- Mapping buying committees in target accounts
- Prioritizing decision-makers in a list
- Tailoring sequences by persona
Know the limits
When not to use this skill
- Profiles lack a role or professional context
- You need sensitive personal attributes (never infer these)
- You want per-account scoring (use Qualification)
Outputs
One record per profile with a consistent, inspectable schema.
personaThe assigned persona label.
likely_role_in_decision_processe.g. economic buyer, user, gatekeeper.
evidenceRole evidence behind the classification.
confidenceClassification confidence.
alternate_personaA plausible second classification.
missing_informationSignal needed to be sure.
Example
Example
A profile classified for a software deal.
Input
Context: Selling an observability tool.
Profile: Director of Platform Engineering, owns infrastructure budget.Output
persona: Economic buyer
likely_role_in_decision_process: Budget owner + technical evaluator
evidence: Owns infrastructure budget; platform leadership
confidence: high
alternate_persona: Technical influencer
missing_information: Final sign-off authorityBudget ownership points to an economic buyer, with technical influencer as a fallback; the missing sign-off detail tells you what to confirm.
Setup
How to use the skill
General steps first, then notes for specific clients where verified.
- 1Download the file using the button below, or copy the Markdown.
- 2Place it in a directory named after the skill (e.g. skill-name/).
- 3Make sure the filename stays exactly SKILL.md.
- 4Add any references or assets included with the package.
- 5Load the skill into a compatible agent and provide the required inputs.
Claude Code
- 1Create a folder for the skill and save SKILL.md inside it.
- 2Place the folder where your project's skills are discovered.
- 3Reference the skill when you want it applied to your data.
Other compatible clients
- 1Confirm the client supports the open Agent Skills format.
- 2Load the SKILL.md file as instructed by that client.
- 3If skills are not auto-loaded, paste the Markdown as instructions.
Source
Full SKILL.md source
Read the rendered skill or copy the complete Markdown. The download is generated from this exact source.
Version 1.0 SKILL.md ~2 KB MIT
Persona Classification
Purpose
Classify professional profiles into buyer, influencer, user, decision-maker, and other personas.
When to use this skill
- Routing contacts to the right messaging
- Mapping buying committees in target accounts
- Prioritizing decision-makers in a list
- Tailoring sequences by persona
When not to use this skill
- Profiles lack a role or professional context
- You need sensitive personal attributes (never infer these)
- You want per-account scoring (use Qualification)
Required inputs
- Professional profiles with roles
Optional inputs
- Your persona definitions
- The product or deal context
Rules
- Classify from professional role evidence only.
- Do not infer health, religion, ethnicity, sexual orientation, political affiliation, or other sensitive personal attributes.
- Provide an alternate persona when signal is mixed.
- Report confidence and missing information.
- Use the supplied persona definitions when given.
Process
- Parse each profile and its role.
- Match role evidence to persona definitions.
- Assign a primary and alternate persona.
- Estimate the decision-process role.
- Report confidence and gaps.
Output format
Return one record per profile with the following fields:
- persona
- likelyroleindecisionprocess
- evidence
- confidence
- alternate_persona
- missing_information
Validation
- Confirm no sensitive attributes were used.
- Confirm each persona cites role evidence.
- Confirm low-confidence rows are flagged.
Limitations
- Titles do not always reflect real authority.
- Personas are interpretive and should be verified in conversation.
Before you rely on it
Safety and limitations
- Titles do not always reflect real authority.
- Personas are interpretive and should be verified in conversation.
- Review the output before acting on it.
- Do not upload confidential datasets to an external model without authorization.
- Outputs depend on the model and the source data and are not guaranteed to be accurate.
History
Changelog
- v1.0June 2026
- Initial release.
Questions
Agent Skill FAQ
What if a profile fits more than one persona?
It assigns the best-evidenced persona and decision role with a confidence score, and flags ambiguous profiles rather than guessing a single label.
Can I define my own personas?
Yes. Supply your persona definitions and the skill classifies profiles against them with evidence and confidence.
Do I need ProfileSpider to use this skill?
No. The skill works on any compatible data. ProfileSpider is one convenient way to produce that structured input.
Does running this skill send data to ProfileSpider?
No. Downloading or copying the file does not send any data to ProfileSpider. What happens afterward depends on the AI service you load it into.
Are Agent Skills the same as prompts?
No. A skill is a structured, reusable package — task, inputs, rules, process, and output format — so the workflow runs consistently and can be shared, versioned, and edited.