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Outlines構造化生成によるエージェント出力の制約

LLMの出力を生成中に型付きスキーマ、列挙型、JSONライクな構造、ルーティングレコードに強制的に従わせ、後から不正なテキストを修正する手間を省きます。

Outlines構造化生成によるエージェント出力の制約 とは?

このスキルは、LLM(大規模言語モデル)の出力を生成時に強制的に構造化するためのOutlinesライブラリを利用します。従来の「後処理で不正なJSONを修正する」アプローチとは異なり、トークン生成の段階でスキーマに従った出力のみを許可することで、常に有効で型安全な出力を保証します。Python の型システムに自然に統合されており、`int` や `enum`、Pydantic モデル、JSON Schema などを使って簡単に出力形式を指定できます。対応するLLMランタイムやプロバイダ(Transformers、vLLM、LlamaCpp など)と組み合わせて使用し、エージェントが確実にプログラムから利用可能なデータを返すように制約したい場合に特に有用です。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/constrain-agent-outputs-with-outlines-structured-generation

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ドキュメント

Outlines構造化生成によるエージェント出力の制約 は何をしますか?

LLMの出力を生成中に型付きスキーマ、列挙型、JSONライクな構造、ルーティングレコードに強制的に従わせ、後から不正なテキストを修正する手間を省きます。

前提条件

Python、Outlines、サポートされているLLMランタイムまたはプロバイダ、スキーマ定義

インストール

環境に合ったアップストリームのインストールまたはセットアップパスを使用してください:

  • pip install outlines

アップストリームからの要件と注意事項:

  • Outlines は Python 自身の型システムを反映したシンプルなパターンに従います。目的の出力タイプを指定するだけで、Outlines はデータがその構造と正確に一致することを保証します。
  • python
  • | カスタムタイプ | 複雑な型を構築するための直感的なインターフェース | Python 型ガイド → |

基本的な使用法または入門ノート:

ドキュメント

ソース

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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