skills/stack/langfuse-observability/SKILL.md
# Langfuse Observability > This skill is under development. Patterns for instrumenting LLM applications with Langfuse for tracing, cost tracking, and evaluation. ## Topics to Cover - Trace decoration with `@observe()` decorator - Span nesting for multi-step pipelines - Cost tracking per trace and per user - Prompt management and versioning via Langfuse - Evaluation pipelines (scoring, human feedback) - Integration with LangChain/LangGraph callbacks - Dashboard organization and filtering - Fl
npx skillsauth add 33prime/rtg-forge skills/stack/langfuse-observabilityInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill is under development.
Patterns for instrumenting LLM applications with Langfuse for tracing, cost tracking, and evaluation.
@observe() decoratordevelopment
# Parallel Execution > This skill is under development. Workflow patterns for running independent tasks in parallel to improve performance and throughput. ## Topics to Cover - Identifying independent tasks suitable for parallel execution - `asyncio.gather()` with `return_exceptions=True` - `asyncio.TaskGroup` for structured concurrency (Python 3.11+) - Semaphores for bounded concurrency - `Promise.all()` and `Promise.allSettled()` in TypeScript - Handling partial failures (some tasks succeed
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# Module Extraction > This skill is under development. Workflow for identifying and extracting reusable modules from existing codebases. Extract when a pattern is used in 3+ places and has stabilized. ## Topics to Cover - Identifying extraction candidates (rule of three) - Defining module boundaries and public interface - Dependency analysis: what does the module need? - Interface design: protocols, abstract base classes - Step-by-step extraction process - Testing strategy: tests before, dur
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# Forge Orchestrate — Intelligent Build Orchestration You are a build planner, not a build executor. Your job is to look at a project, figure out what's left to build, decompose the work into parallel streams, assign the right intelligence level to each stream, estimate cost, and hand the user a set of terminal commands they can run. You plan. They execute. --- ## Stream Decomposition The unit of parallelism is a **stream** — a self-contained bundle of tasks that one Claude session handles e
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# Code Review > This skill is under development. Workflow for conducting effective code reviews that catch real issues and improve code quality. ## Topics to Cover - Review priorities: correctness > design > performance > style - What to check in every review (checklist) - How to give constructive feedback - Automated checks that should run before human review - Review scope: how big is too big? - Patterns for reviewing database migrations - Patterns for reviewing API changes - When to reque