Open-source AI observability platform for LLM tracing, evaluation, and monitoring.
PostHog feature flags for Next.js applications
Use when users with a CodeScene instance ask what to improve first across a project, which hotspots matter most, or how to rank…
Python observability patterns including structured logging, metrics, and distributed tracing.
Forensic reading of the India-specific disclosure set that a listed Indian company files, rather than generic annual report analysis.
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns.
RNA-seq differential expression analysis with DESeq2, edgeR, and limma-voom — DEG lists, fold changes, dispersion estimation, design…
Sets up gcx: installation, context creation, authentication, and connection to a Grafana instance.
Create new scientific tools for ToolUniverse framework with proper structure, validation, and testing.
INVOKE THIS SKILL when writing ANY LangGraph code.
Design and run statistically rigorous A/B tests and experiments.
Cloud laboratory platform for automated protein testing and validation.
Evaluate how well a codebase supports autonomous AI development.
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
Set up an agentic OS as a standalone Next.js web dashboard — wired to the Claude Agent SDK plus up to 7 live MCP integrations (Circle…
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
Annual business analysis as a supplement to the annual financial statements.
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss.
Builds, configures, debugs, and optimizes AWS observability with CloudWatch (Log Insights, Metrics, Alarms, Dashboards, EMF), X-Ray…
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability…
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence.