Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.
View on GitHubgreyhaven-ai/claude-code-config
core
grey-haven-plugins/core/skills/llm-project-development/SKILL.md
January 21, 2026
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npx add-skill https://github.com/greyhaven-ai/claude-code-config/blob/main/grey-haven-plugins/core/skills/llm-project-development/SKILL.md -a claude-code --skill grey-haven-llm-project-developmentInstallation paths:
.claude/skills/grey-haven-llm-project-development/# LLM Project Development Skill Build **production LLM applications** using proven methodology from Karpathy's HN Time Capsule, Vercel d0, Manus, and Anthropic's research. **Core principle**: Validate manually first, then build deterministic pipelines around the non-deterministic LLM core. ## Supporting Documentation All files under 500 lines per Anthropic best practices: - **[references/](references/)** - Methodology foundations - [case-studies.md](references/case-studies.md) - Karpathy, Vercel d0, Manus patterns - [pipeline-patterns.md](references/pipeline-patterns.md) - Python/TypeScript code patterns - [INDEX.md](references/INDEX.md) - Reference navigation - **[examples/](examples/)** - Grey Haven implementations - [tanstack-pipeline.md](examples/tanstack-pipeline.md) - TanStack Start example - [fastapi-pipeline.md](examples/fastapi-pipeline.md) - FastAPI backend example - [INDEX.md](examples/INDEX.md) - Examples navigation - **[templates/](templates/)** - Copy-paste starters - [pipeline-template.ts](templates/pipeline-template.ts) - TypeScript pipeline - [pipeline-template.py](templates/pipeline-template.py) - Python pipeline - **[checklists/](checklists/)** - Validation - [llm-project-checklist.md](checklists/llm-project-checklist.md) - Pre-launch checklist ## The Methodology ### Phase 1: Task-Model Fit Analysis **Before writing any code, determine if LLMs are the right tool.** #### LLM-Suited Tasks | Characteristic | Why LLMs Excel | Grey Haven Example | |----------------|----------------|-------------------| | **Synthesis over precision** | Combining context, not calculating | Summarizing tenant activity | | **Subjective judgment** | No single correct answer | Categorizing support tickets | | **Error tolerance** | Graceful degradation acceptable | Content recommendations | | **Human-like processing** | Natural language understanding | Chat-based tenant onboarding | | **Creative output** | Novel combinations required | Generatin
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