By viktorbezdek
Methodology for LLM-powered project development. Task-model fit analysis, pipeline architecture (acquire-prepare-process-parse-render), file system state machines, cost estimation, and architectural reduction.
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npx claudepluginhub viktorbezdek/skillstack --plugin agent-project-developmentBelief-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.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Language-agnostic development process harness implementing the Stateless Agent Methodology (SAM) 7-stage pipeline with ARL human touchpoint model and Voltron-style language plugin composition. Provides orchestration, workflows, planning, verification, and testing methodology that any language plugin can compose with.
Context-Driven Development plugin that transforms Claude Code into a project management tool with structured workflow: Context → Spec & Plan → Implement
11 agents, 35 skills, 18 commands, 9 hooks — spec-driven multi-agent orchestration for Claude Code, with optional cross-device semantic memory.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.