Inputs
Provide these when prompted. The skill asks for anything missing before it runs.
Required
- A set of accounts
- Prioritization criteria
Optional
- Opportunity signals (intent, growth)
- Strategic weighting
- Capacity constraints
Agent Skill
Account Prioritization
Rank companies or accounts by strategic relevance and opportunity with a clear rationale.
Version 1.0 Updated June 2026 SKILL.md MIT 6 min read
Overview
What this skill does
With more accounts than capacity, the question is not who is a fit but who to work first — and that ordering is easy to get wrong by gut feel.
This skill ranks accounts by strategic relevance and opportunity, assigns a priority score and tier, explains the opportunity rationale with evidence, flags risks, and recommends a next action so effort flows to the best accounts.
When to use it
Best used for
- Sequencing outreach across many accounts
- Building tiered account lists
- Focusing limited capacity on the best opportunities
- Justifying account priority to a team
Know the limits
When not to use this skill
- Accounts are not yet qualified for fit
- You have no relevance or opportunity signal
- You need contact-level routing (use Persona Classification)
Outputs
One record per account with a consistent, inspectable schema.
priority_scoreA 0–100 priority score.
priority_tierTier (e.g. A/B/C) from the score.
supporting_evidenceEvidence behind the priority.
opportunity_rationaleWhy the account is an opportunity.
risksReasons the priority could be lower.
next_actionThe recommended first move.
Example
Example
One account prioritized.
Input
Criteria: ICP fit + growth signals.
Account: Lumen Robotics — high fit; hiring engineers; recent funding.Output
priority_score: 91
priority_tier: A
supporting_evidence: High ICP fit; hiring; recent funding
opportunity_rationale: Growth + budget signals align with our offer
risks: Incumbent tool may be entrenched
next_action: Multi-thread outreach to platform leadershipStrong fit plus growth signals put this in Tier A with a concrete first move, while the incumbent-tool risk is noted for the pitch.
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
Account Prioritization
Purpose
Rank companies or accounts by strategic relevance and opportunity with a clear rationale.
When to use this skill
- Sequencing outreach across many accounts
- Building tiered account lists
- Focusing limited capacity on the best opportunities
- Justifying account priority to a team
When not to use this skill
- Accounts are not yet qualified for fit
- You have no relevance or opportunity signal
- You need contact-level routing (use Persona Classification)
Required inputs
- A set of accounts
- Prioritization criteria
Optional inputs
- Opportunity signals (intent, growth)
- Strategic weighting
- Capacity constraints
Rules
- Rank against the supplied criteria and signals.
- Use evidence; do not invent intent or growth signals.
- Make tiers consistent with scores.
- Flag risks that temper the priority.
- Recommend a concrete next action.
Process
- Parse prioritization criteria and signals.
- Score each account for relevance and opportunity.
- Assign a tier.
- Explain rationale and risks.
- Recommend a next action.
Output format
Return one record per account with the following fields:
- priority_score
- priority_tier
- supporting_evidence
- opportunity_rationale
- risks
- next_action
Validation
- Confirm tiers follow from scores.
- Confirm evidence supports each priority.
- Confirm signals were not invented.
Limitations
- Priority reflects available signal, not guaranteed outcomes.
- Stale signals can mislead; refresh before acting.
Before you rely on it
Safety and limitations
- Priority reflects available signal, not guaranteed outcomes.
- Stale signals can mislead; refresh before acting.
- 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 signals does it prioritize on?
Strategic relevance and opportunity signals present in your account data. Without a relevance or opportunity signal it cannot rank meaningfully — qualify for fit first.
How is this different from qualification?
Qualification decides if an account fits; prioritization decides the order to work fitting accounts based on opportunity.
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.