pss-usage

Explain PSS suggestion confidence levels and evidence types for reindexing decisions.

1|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/Emasoft/perfect-skill-suggester --skill pss-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pss-usage
Source: https://github.com/Emasoft/perfect-skill-suggester/tree/main/skills/pss-usage
Command: npx skills add https://github.com/Emasoft/perfect-skill-suggester --skill pss-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interprets Perfect Skill Suggester (PSS) outputs so you can understand confidence levels and the supporting evidence before acting.

Core Features & Use Cases

  • Reads and explains HIGH, MEDIUM, and LOW confidence signals and the kinds of evidence (intent, keyword, co_usage) that drive them.
  • Guides reindexing, status checks, and skill-activation decisions to keep skill suggestions accurate and actionable.
  • Helps troubleshoot empty or misaligned suggestions by mapping outputs to concrete steps for agent configuration.

Quick Start

Type a plain-language prompt such as "Explain the latest PSS suggestions" to get guidance on interpreting results.

Frequently Asked Questions about pss-usage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret Perfect Skill Suggester outputs and confidence levels?

To interpret Perfect Skill Suggester outputs, check HIGH, MEDIUM, or LOW confidence signals and review the supporting evidence types like intent, keyword, and co_usage before taking activation steps.

What do the different evidence types mean in PSS suggestions?

Evidence types in PSS suggestions include intent, keyword, and co_usage, which collectively determine the confidence level of a skill recommendation and indicate why a specific suggestion was generated.

How do I troubleshoot empty or misaligned skill suggestions?

To troubleshoot empty or misaligned skill suggestions, map the PSS diagnostic outputs to concrete steps such as running status checks, performing an indexing refresh, and verifying your agent configuration.

When should I reindex skills to keep suggestions accurate?

You should reindex skills when suggestions become inaccurate or misaligned, using the reindexing workflow to refresh the indexing status and ensure your skill activation decisions are based on current data.

How do I use diagnostic concepts to make skill activation decisions?

Map diagnostic concepts from the suggestion table to actionable steps by reading confidence levels and evidence, running status checks, and applying this guidance to determine which skills to activate.

Do I need to run status checks before activating suggested skills?

Yes, running status checks before skill activation is recommended to verify the indexing state and ensure the PSS suggestion table is accurate and actionable for your agent configuration.