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Results for “context-efficiency”

7 skills
github
diagnose
Performs a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
36.2k
More results
muratcankoylan
context-optimization
Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.
16.9k · bundle
muratcankoylan
context-compression
Optimizes long-running agent sessions with structured context compression, summarization, and durable handoff summaries that preserve decisions, files, risks, and next actions.
16.9k · bundle
deanpeters
context-engineering-advisor
Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.
5.6k
addyosmani
context-engineering
Optimizes agent context setup by structuring rules, specs, source files, error output, and conversation history to improve output quality.
69.5k
muratcankoylan
context-degradation
Diagnose and mitigate context degradation patterns including lost-in-middle failures, context poisoning, distraction, confusion, and clash in AI agent systems.
16.9k · bundle
muratcankoylan
context-fundamentals
Explains foundational concepts of context engineering: what context is, attention mechanics, the U-shaped attention curve, and why context quality matters more than quantity.
16.9k · bundle