project-development
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
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A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Expert guide for OpenCode AI: TUI commands, CLI operations, AGENTS.md configuration, custom agent workflows, and project setup.
A professional tool for reading, creating, and editing .docx documents with precise layout control, using python-docx and automated visual rendering checks.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
Run repeatable Maven tests in RDF4J with module-specific workflows, automatic environment refreshing, and actionable failure reporting.
Automate frontend API integration using Apidog and MCP servers. Generate TypeScript types, TanStack Query hooks, and axios-based clients from OpenAPI specifications for consistent, type-safe API consumption.
Interactive terminal canvas for rendering, editing, and selecting markdown text, emails, and project documentation in Claude Code.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.