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
C58 / 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.