By viktorbezdek
Production strategies for compressing LLM context windows. Anchored iterative summarization, opaque compression, tokens-per-task optimization, and probe-based evaluation.
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npx claudepluginhub viktorbezdek/skillstack --plugin context-compressionBelief-Desire-Intention cognitive architecture for LLM agents. Formal BDI ontology, T2B2T paradigm, RDF integration, SPARQL competency queries, and neuro-symbolic AI integration patterns.
Apply systems thinking principles including feedback loops, leverage points, and system dynamics to analyze complex problems.
Comprehensive prompt optimization system for LLMs. Design effective AI interactions, evaluate prompt quality, and perform iterative refinement for any LLM platform.
Comprehensive Test-Driven Development skill implementing Red-Green-Refactor cycle across Python, TypeScript, JavaScript, and Emacs Lisp. Covers pytest, Vitest, Playwright, ERT, and Zod.
Design content models with types, fields, relationships, and governance rules for structured content systems.
Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins
Six portable harness skills distilled from a CC-style coding agent: dream-memory, memory-extractor, verification-gate, swarm-coordinator, structured-context-compressor, kairos-lite. The parts that separate a fun demo from a stable toolchain.
Memory compression system for Claude Code - persist context across sessions
Editorial "Web Designer" bundle for Claude Code from Antigravity Awesome Skills.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Frontend design skill for UI/UX implementation