viktorbezdek

60 mods across 3 repositories, 846 stars between them.

content-modelling

49

viktorbezdek/skillstack

Skill Claude CodeCodex

Design CMS content models — content types, fields, editorial workflows, governance rules, and COPE (Create Once, Publish Everywhere) patterns — for structured, multi-channel publishing. Use when the user asks to design a content model, define content types in a CMS, structure fields for editorial content, plan a…

11 2mo ago A 114 tokens original MIT

context-compression

50

viktorbezdek/skillstack

Plugin Claude Code

Production strategies for compressing LLM context windows. Anchored iterative summarization, opaque compression, tokens-per-task optimization, and probe-based evaluation.

11 2mo ago A tokens not measured original MIT

context-compression

51

viktorbezdek/skillstack

Skill Claude CodeCodex

REDUCING context size — summarization strategies, anchored iterative summarization, tokens-per-task optimization, compaction triggers, and probe-based evaluation. Use when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions structured…

11 2mo ago A 131 tokens original MIT

context-degradation

52

viktorbezdek/skillstack

Plugin Claude Code

Patterns for recognizing and mitigating context failures in LLM agents. Covers lost-in-middle, context poisoning, distraction, confusion, clash, and model-agnostic degradation measurement.

11 2mo ago A tokens not measured original MIT

context-degradation

53

viktorbezdek/skillstack

Skill Claude CodeCodex

Diagnosing context FAILURES — lost-in-middle, poisoning, distraction, confusion, and clash patterns with model-agnostic measurement workflows. Use when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation…

11 2mo ago A 131 tokens original MIT

viktorbezdek/skillstack

Plugin Claude Code

Foundational understanding of context engineering for AI agent systems. Covers context anatomy, attention mechanics, progressive disclosure, context budgeting, and the quality-vs-quantity principle.

11 2mo ago A tokens not measured original MIT

viktorbezdek/skillstack

Skill Claude CodeCodex

Foundational theory of context engineering — what context IS, how attention works, progressive disclosure principles, and context budgeting basics. Use when the user asks to "understand context", "explain context windows", "learn context engineering", or discusses context components, attention mechanics, or context…

11 2mo ago A 121 tokens original MIT

viktorbezdek/skillstack

Plugin Claude Code

Techniques for extending effective context capacity through compaction, observation masking, KV-cache optimization, and context partitioning. Double or triple effective context without larger models.

11 2mo ago A tokens not measured original MIT

viktorbezdek/skillstack

Skill Claude CodeCodex

EXTENDING effective context capacity — KV-cache optimization, observation masking, context partitioning, and retrieval strategies. Use when the user asks to "optimize context", "implement KV-cache", "partition context", "mask observations", or mentions extending context capacity or cache-friendly prompt design. NOT…

11 2mo ago A 117 tokens original MIT

viktorbezdek/skillstack

Plugin Claude Code

Generate breakthrough solutions through lateral thinking, first principles reasoning, game theory, and strategic reframing.

11 2mo ago A tokens not measured original MIT

viktorbezdek/skillstack

Skill Claude CodeCodex

Generate new ideas and breakthrough solutions using brainstorming, lateral thinking, SCAMPER, first principles reasoning, game theory, and strategic reframing. Use when the user asks to brainstorm, ideate, "think outside the box", generate alternatives, explore creative solutions, reframe a problem, or come up with…

11 2mo ago A 122 tokens original MIT

critical-intuition

60

viktorbezdek/skillstack

Plugin Claude Code

Detect hidden patterns, expose blind spots, and deliver rigorous critical analysis with intuition-level depth.

11 2mo ago A tokens not measured original MIT