Menu
O SkillsMP coletou 16 skills de NVIDIA-NeMo/labs-OO-Agents. Abra uma skill para revisar a origem e os detalhes.
Mostrando 16 de 16 skills coletadas.
How to manage context blocks (system prompt sections) in NOOA. Use when configuring what appears in an agent's LLM prompt — adding, overriding, suppressing, or positioning blocks. Covers the unified Context API, well-known framework keys, and the…
Idioma do texto original: inglês
Author agents with NVIDIA-labs Object Oriented Agents (NOOA). Use when writing or modifying an Agent subclass, agentic methods (ellipsis bodies), docstring prompts, structured output contracts, strategy selection (CodeAct/Predict), visibility control,…
Idioma do texto original: inglês
Make NOOA agent types render useful documentation for the LLM — doc(), spec(), hidden, Annotated field descriptions, and pformat/pprint tuning. Use when designing Pydantic models/dataclasses the LLM will see, controlling what appears in doc(self), hiding…
Idioma do texto original: inglês
Capture execution traces from NOOA. Use when instrumenting an agent run, writing traces to JSONL files, sending traces to the viewer or an OTLP/Langfuse/Phoenix backend, controlling which methods are traced, or when traces are mysteriously missing.
Idioma do texto original: inglês
Reactive input for NOOA agents — Channel/QueueManager for queued and event-mode input, race() turn dispatch, spawn() background jobs with JobHandle, and the bundled producers (monitor a shell command, cron ticks, one-shot timers, file tails). Use when an…
Idioma do texto original: inglês
Advanced tuning of NOOA strategies — CodeAct prefill (understanding, disabling, custom, pre-ellipsis code), loop guards (max_iterations, retries, text-only stop), truncation tuning (TruncationConfig/CaptureConfig/FormatConfig), code restrictions…
Idioma do texto original: inglês
Manage what a NOOA agent sees and remembers — context blocks, event history and queries, history summarization, and persistent memory/storage. Use when pinning information into the system prompt, querying past events, bounding context growth in long…
Idioma do texto original: inglês
Intercept and observe NOOA execution — middleware via event_manager.intercept() (guardrails, input/output transforms, blocking), event observers via event_manager.on() (react to Task/Error/LLMComplete/turn events), and the InstrumentationHooks protocol for…
Idioma do texto original: inglês
Let NOOA agents extend themselves — persistent skill libraries the agent writes and hot-reloads (SkillWriting / self.libs, LibraryManager), in-cell helper functions and standalone @strategy sub-calls (MethodWriting), and @slash_command user actions. Use when…
Idioma do texto original: inglês
Give a NOOA agent capabilities — methods as tools, built-in tools (ShellTools, TodoManager), MCP servers, agent skills (Skill/TextSkill/SkillRegistry), and multimodal media. Use when adding tools or external integrations to an agent, wiring MCP, or packaging…
Idioma do texto original: inglês
Analyze NOOA execution traces programmatically with the trace-explorer CLI and Python API. Use when debugging why an agent run failed, inspecting LLM turns and code executions, diffing two runs, aggregating errors across an eval experiment, or root-causing…
Idioma do texto original: inglês
Run and use the NOOA trace viewer — the web UI + OTLP receiver for browsing agent traces and eval results. Use when starting the viewer, importing/exporting/deleting traces, querying the viewer's REST API, or wiring an agent run so traces show up at…
Idioma do texto original: inglês
Render and refine the system prompt of a nooa agent. Use when the user wants to inspect, debug, or improve an agent's prompt, context blocks, or tool documentation.
Idioma do texto original: inglês
Solve an interactive grid game iteratively — observe, hypothesize, experiment, record knowledge, and submit action sequences until every level is won.
Idioma do texto original: inglês
Solve an interactive grid game by learning a compressed world model (encode state to a latent z, learn a predict function), planning action sequences by search over it, and recording hypotheses, plans and knowledge to memory.
Idioma do texto original: inglês
Explore and debug agent execution traces. Use when the user asks to analyze a trace, debug an agent run, investigate errors in a trace, or when they paste a trace-explorer prompt from the viewer UI.
Idioma do texto original: inglês