Loading...
Loading...
Found 360 Skills
Build worlds through cascading consequences from speculative changes. Use when introducing new technologies, species, or alternate histories and need to trace realistic societal transformations across multiple domains.
Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).
Build microservices - Spring Cloud, service mesh, event-driven, resilience patterns
Deep test, analyze, and audit Claude skills. Use this skill whenever the user wants to test a skill's behavior, analyze how it uses the Claude API, inspect inputs/outputs from scripts, or run security and code review audits against skill scripts. Trigger on: "test my skill", "analyze this skill", "audit skill scripts", "review skill for security issues", "what does this skill actually do when it runs", "inspect API calls from skill", "run a skill through its paces", "check my skill for bugs or vulnerabilities". Also trigger when the user shows you a SKILL.md and asks you to evaluate, critique, or stress-test it.
Step-by-step wallet investigation workflow using Range AI MCP tools (risk score, sanctions, connections, transfers, funded-by, entities, cross-chain pivots) plus a one-shot prompt template. Use when the user runs investigations inside an MCP-connected client with Range enabled, or needs a structured checklist alongside crypto-investigation-compliance—not as legal advice or a substitute for Range’s live docs and API scopes.
Supported programming languages in GrepAI. Use this skill to understand which languages can be indexed and traced.
MLflow ML lifecycle management. Use for ML experiment tracking.
Implement logging in B2C Commerce scripts using dw.system.Logger. Use when adding debug output, error tracking, or custom log files to server-side code. Covers getLogger, log categories, log levels (debug, info, warn, error, fatal), and custom named log files.
Generate deep links to the Arize UI. Use when the user wants a clickable URL to open a specific trace, span, session, dataset, labeling queue, evaluator, or annotation config.
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
Auditing memory traces and debugging.
Opik observability for LLM agents — Agent Configuration, Local Runner (opik connect), Evaluation Suites, threads, integrations. Use for "configure my agent", "connect my agent", "evaluate my agent" or "integrate with Opik".