PPQS
WILD CORPUS · github_awesome

PQS 58 (C) - prompt from raw.githubusercontent.com

Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

C
58 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity9 / 10
Context7 / 10
Constraints7 / 10
Output format7 / 10
Role definition6 / 10
Examples8 / 10
CoT structure5 / 10

The prompt

Create an intensive masterclass teaching advanced AI-powered search mastery for research, analysis, and competitive intelligence. Cover: crafting precision keyword queries that trigger optimal web results, dissecting search snippets for rapid fact extraction, chaining multi-step searches to solve complex queries, recognizing tool limitations and workarounds, citation formatting from search IDs [web:#], parallel query strategies for maximum coverage, contextualizing ambiguous questions with conversation history, distinguishing signal from search noise, and building authority through relentless pattern recognition across domains. Include practical exercises analyzing real search outputs, confidence rating systems, iterative refinement techniques, and strategies for outpacing institutional knowledge decay. Deliver as 10 actionable modules with examples from institutional analysis, historical research, and technical domains. Make participants unstoppable search authorities.

AI Search Mastery Bootcamp Cheat-Sheet

Precision Query Hacks

 Use quotes for exact phrases: "chronic-problem generators"

 Time qualifiers: latest news, 2026 updates, historical examples

 Split complex queries: 3 max per call → parallel coverage

 Contextualize: Reference conversation history explicitly

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.