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SkillsMP は jhd3197/Prompture から 9 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 9 件中 9 件を表示しています。
Update LLM model pricing in Prompture. Pricing resolves through a pluggable source registry — by default local KB JSON files (primary, curated) then models.dev (fallback). Use when model prices change, new models launch, models.dev data is stale, or you need…
原文の言語: 英語
Scaffold a new LLM provider driver for Prompture. Creates sync + async driver classes, registers them in the driver registry, adds settings, env template, setup.py extras, package exports, discovery integration, and models.dev pricing. Use when adding support…
原文の言語: 英語
Create a new Prompture usage example script. Follows project conventions for file naming, section structure, docstrings, and output formatting. Use when demonstrating extraction use cases or provider integrations.
原文の言語: 英語
Create reusable persona system prompts for Prompture. Covers Persona dataclass, template variables, composition, trait registry, global registry, serialization, and Conversation integration. Use when defining system prompts for extraction or agent behavior.
原文の言語: 英語
Add function-calling tools to Prompture agents. Covers ToolDefinition, ToolRegistry, tool_from_function, decorator patterns, serialization formats, and Conversation integration. Use when adding callable tools for LLM function calling.
原文の言語: 英語
Add predefined field definitions to the Prompture field registry. Handles field structure, categories, template variables, enum support, and thread-safe registration. Use when adding reusable extraction fields.
原文の言語: 英語
Add unit and integration tests for Prompture functionality. Uses pytest conventions, shared fixtures from conftest.py, and the integration marker pattern. Use when writing tests for new or existing features.
原文の言語: 英語
Run Prompture's test suite with the correct pytest flags. Supports unit-only, integration, single file, single test, verbose, and credential-skip modes. Use when running or debugging tests.
原文の言語: 英語
Scaffold a complete extraction pipeline for a new domain — Pydantic model, field definitions, example script, and tests. Use when building a new extraction use case like medical records, invoices, or reviews.
原文の言語: 英語