muratcankoylan

This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction…

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

Use to explain or reason about the foundational concepts of context engineering: the context window, attention mechanics, the U-shaped…

This skill should be used for personal operating-system workflows: content creation, voice consistency, relationship lookup, meeting…

Use for persistent semantic memory in agent systems: cross-session retention, entity tracking, temporal validity, graph or vector…

Use when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, or parallel…

This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration…

This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief…

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task…

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash…

This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy…

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics…