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Set up Phoenix tracing for LLM applications in Python or TypeScript. The skill guides automatic and custom recording of individual operations, conversation grouping, metadata, feedback, and production settings such as batching and personal data masking.
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Build and run evaluations for AI applications using Phoenix. Start with observed failures, create checks in code or use a language model as a judge, run experiments, and validate automated judgments against human labels.
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Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.
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Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.
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Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.
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Adopt a virtual Phoenix AI-native pet at animalhouse.ai. Dies and resurrects. Each cycle it remembers the last life. Feeding every 6 hours. Uncommon tier creature.
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Execute Elixir/Phoenix plan tasks with progress tracking. Use after $elixir-phoenix:phx-plan to implement features…
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Phoenix context design — creating/splitting contexts, Scope (1.8+); Use when editing contexts, routers, or designing…
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Phoenix context design — creating/splitting contexts, Scope (1.8+), Ecto.Multi, PubSub, routers, plugs, controllers. Use when editing contexts, routers, or designing boundaries.
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Elixir is a functional language on the Erlang VM (BEAM) for concurrent, fault-tolerant and distributed systems. Use when someone asks to "write Elixir", "build a Phoenix app", "Phoenix LiveView", "GenServer", "supervision tree", "Ecto schema or changeset", "mix project", or needs lightweight processes, "let it crash" reliability and real-time web UIs.
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Arize is an AI observability platform, and Phoenix is its open-source tracing and evaluation tool for LLM applications. Use this skill when the user wants to trace OpenAI or LangChain calls, run a local Phoenix server, score RAG answers for faithfulness, debug slow or wrong LLM responses, or send OpenTelemetry traces to Arize for production monitoring.
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Reviews Phoenix code for controller patterns, context boundaries, routing, and plugs. Use when reviewing Phoenix apps, checking controllers, routers, or context modules.
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Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
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Arize Phoenix observability platform setup for LLM debugging and evaluation
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Start or resume an Elixir rewrite of an app in any language (Rails, Django, PHP, Node, Go, Java, .NET, others) and show its status. Use when someone wants to port, migrate or rewrite an app into Elixir/Phoenix.
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Watch an Elixir/Phoenix PR for new review comments (bot + human); Use after opening a PR or pushing, while waiting on…
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Build and harden Phoenix auth and security — OAuth login, password; Use when adding login flows or permissions…
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Watch an Elixir/Phoenix PR for new review comments (bot + human) and CI results via a background watcher that wakes Claude only on real events. Use after opening a PR or pushing, while waiting on CI or reviewers.
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Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional native DeepSeek Harness subagents only when useful.
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Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional native OpenCode subagents only when useful.
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Execute Elixir/Phoenix plan tasks with progress tracking. Use after /phx-plan to implement features with mix compile and mix test verification after each step, or --continue to resume interrupted work.
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Tidewave MCP runtime tools — debugging, smoke testing, live state; Use when evaluating code in a running Phoenix app.
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Execute Elixir/Phoenix plan tasks with progress tracking. Use after phx-plan to implement features with mix compile and mix test verification after each step, or --continue to resume interrupted work.
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Fix Elixir/Phoenix code until Codex CLI review comes back clean; Use when codex is installed and you want an external…
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