数据分析、机器学习、LLM 应用、提示词设计（9105 个）
Change the language model used by a Worker Agent through the agt command-line tool. The controller resolves model settings, regenerates configuration, and recreates the container to apply the change without a manual restart.
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Switch the Manager Agent's primary language model with a script that checks connectivity before saving configuration. You can also set how much context the model accepts and whether extended thinking is enabled.
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Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.
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Select technologies for AI and machine learning features in .NET 8+ applications. Get task-specific plans or implementation guidance for structured predictions, text generation, document retrieval, tool-using agents, and running pretrained models locally or in production.
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Pin the current parent thread to a chosen AI model through Weave Router while subagents keep automatic model selection. An optional effort setting controls the model's reasoning effort.
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View which models Weave Router can choose, grouped by provider. Enable or disable individual models or entire providers, set a preference order, and review the updated selection without restarting the router.
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Reconnect Codex through Weave Router using the managed configuration already saved on disk. It restores routing without running the installer again, and the change takes effect when Codex next starts.
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Switch Codex from Weave Router back to its default provider without logging out or deleting the router configuration. The change applies the next time Codex starts and can be reversed with `$router-on`.
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Send feedback about a Weave Router model choice or model performance. A bundled script passes the feedback to the router for recording, and the agent then reports the router’s response.
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Clear the model pin, a setting that holds a session to one model, in the current Codex session through Weave Router. The session continues within the same turn, and the router's response is reported.
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Pin the current Codex session to a chosen model through Weave Router. This short alias accepts a model ID, runs the included script, and reports the router’s response while allowing the current turn to continue.
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Pin the current Codex session to a specific model through Weave Router by providing its model ID. The skill applies the pin, continues the same turn, and reports the router's response.
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Check whether Codex is using Weave Router or its default provider. This skill runs a status command and summarizes the result in one line without changing any configuration.
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Submit feedback about Weave Router’s model selection or a model’s performance from the current session. This short alias passes your feedback through the included script, records it through the router, and reports the router’s response.
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Build a data dashboard with key metrics, charts, filters, and tables. Display a compact version in chat, or publish a page for sharing, with scheduled data refreshes when ongoing updates are needed.
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Turns collected repository statistics into an eight-panel PNG infographic. It shows pull request outcomes, timing, code changes, and human versus agent activity, with scripts to recalculate figures and check them against available source records.
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Convert SKILL.md files into SSL JSON, a structured format describing invocation conditions, workflow stages, and individual actions. Receive a validation report covering format errors, invalid references, and rejected outputs.
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Switch automatic model selection to lower-cost options for agent tasks, either for one session or through a saved setting. Explicit model choices remain in effect, while architecture and security review tasks use a separate economy selection.
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Plan how Squad agents separate current tasks, summarized history, and lasting reference knowledge so each launch receives relevant context. The skill provides loading rules and prompt templates; the supporting runtime is still a design proposal.
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Choose the AI model for each agent launch using saved preferences, session instructions, agent settings, and task type. Save global or per-agent choices for future sessions and include the selected model in launch acknowledgments.
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Rewrite long prompts into shorter, clearer instructions for language models. Preserve essential requirements while removing repetition, defining scope, and making output formats and success criteria explicit to reduce ambiguity and unnecessary tokens.
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Design ClickHouse tables, write analytical queries, and plan data loading using practical SQL and code patterns. Use it to review slow queries, build recurring summaries, and analyze user activity across large datasets.
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Predict patterns of gene expression and other genomic measurements from DNA sequences with Borzoi. Compare reference and altered sequences to estimate regulatory effects, generate predicted coverage tracks, and prioritize variants in regions that do not encode proteins.
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Use scGPT to convert single-cell gene expression data into numerical representations of cells and genes. These representations support clustering, data integration, cell-type annotation, and analyses of gene perturbations or regulatory relationships.
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