Find agent skills by outcome

Frequently Asked Questions

Common questions and answers about using Instructor

Contribute to Instructor: Evals, Issues, and Pull Requests

Join us in enhancing the Instructor library with evals, report issues, and submit pull requests on GitHub. Collaborate and contribute!

Debugging Instructor Applications

Learn how to debug Instructor applications with hooks, logging, and exception handling. Practical techniques for inspecting inputs, outputs, and retries.

Instructor Architecture Overview

Learn about the internal architecture and design decisions of the Instructor library

API Reference Guide

Explore the comprehensive API reference with details on instructors, validation, iteration, and function calls.

Documentation Agent Guide

Internal guide for maintaining and improving Instructor documentation

site

.cache

If you're looking to understand the framework, please go to the [DSPy Docs at dspy.ai](https://dspy.ai)

site_name: DSPy

site_description: The framework for programming—rather than prompting—language models.

CrewAI Documentation

Build collaborative AI agents, crews, and flows — production ready from day one.

openapi: 3.0.3

info:

openapi: 3.0.3

info:

openapi: 3.0.3

info:

openapi: 3.0.3

info:

build output

dist/

Documentation

This directory contains the documentation source code for LlamaIndex, available at https://docs.llamaindex.ai.

LangGraph examples

This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-da

lockfileVersion: '9.0'

settings:

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Vibe Tools Telemetry

This document describes the telemetry system used by Vibe Tools, covering the infrastructure, data structure, data flow/pipeline, and privacy considerations.

Feature Behavior Testing with AI Agents

This document outlines our approach to regression testing for vibe-tools using AI agents. We'll create feature behavior files that describe desired behaviors, and AI agents will determine how to test these behaviors using vibe-tools. The agents will generate detailed reports and simple PASS/FAIL res

vibe-tools Documentation Command Issues and Next Steps

Based on the test report (`tests/reports/feature/openrouter-mcp/doc-command_report_2025-03-12T16-57-15-257Z.md`), the following issues were identified with the `doc` command:

Feature Behavior Testing Plan for vibe-tools

This document outlines our approach to regression testing for vibe-tools using AI agents. We create feature behavior files that describe desired behaviors, and AI agents determine how to test these behaviors using vibe-tools. The agents generate detailed reports and simple PASS/FAIL results for auto

This is the vibe-tools repo. Here we build a cli tool that AI agents can use to execute commands and work with other AI agents.

This repo uses pnpm as the package manager and script runner.