Help Wanted

AI Summary: This issue is a beginner-friendly task to add a new Japanese grammar point, "〜ば〜ほど" (the more... the more...), to a JSON file. The contribution requires no coding or setup and can be completed in under a minute directly from the browser.

AI Summary: This issue proposes documenting the correct proxy address for the MCP inspector within Kagenti. Currently, default settings prevent the inspector from connecting, and the proposed solution is to add `http://mcp-proxy.localtest.me:8080` to the Configuration > Inspector Proxy Address field. This documentation update aims to resolve connection issues for new installations and trials.

AI Summary: This issue is a "good first issue" for beginners to contribute to the project by adding a new trivia question about Japanese garments to a JSON file. The task requires no coding or setup and can be completed directly in the browser by forking the repository, editing the specified JSON file, and submitting a pull request.

AI Summary: This issue requests the addition of user guides for several `Trainer` classes (`ClassificationTrainer`, `RegressionTrainer`, `LoRATrainer`) and the `Checkpoint` utility in the Fenn library. The goal is to provide clear explanations and practical examples for users to understand and utilize the training system effectively. The team is also considering a switch from MkDocs to Sphinx for documentation generation.

AI Summary: This issue proposes the creation of three comprehensive end-to-end guides for the `evalview` tool. These guides will demonstrate the full workflow of generating, reviewing, approving, and checking agent tests using LangGraph, MCP, and generic HTTP agents, aiming to increase developer adoption by showcasing `evalview`'s integration with different stacks.

AI Summary: This issue proposes adding an example GitHub Actions workflow to the evalview project. This workflow will automate the process of generating reports, posting review comments on pull requests, and documenting the approval flow, making it easier for teams to adopt evalview's CI capabilities.

AI Summary: This issue proposes adding support for a generic HTTP trace export format to the evalview importer. The goal is to define a minimal JSON schema that allows teams with custom agent logging to easily import their traces for testing and integration without needing custom code.

AI Summary: This issue proposes adding support for importing agent interaction logs in CSV format to generate test suites. The goal is to enable teams to leverage existing CSV exports as a low-friction way to create test data, with specific requirements for parsing, flag support, error handling, and documentation.

AI Summary: Users are experiencing an issue where copying text from code blocks on the documentation site results in unexpected newlines between tokens. This behavior is suspected to be caused by recent changes related to shiki notation transformers, which might be adding extra spans that interfere with the browser's copy/paste functionality.

AI Summary: This issue is a beginner-friendly task to add a new Japanese proverb to a JSON file. It requires no coding or local setup, and can be completed directly in the browser by forking the repository, editing the JSON, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new fun fact about Japan to a JSON file. It requires no coding or setup and can be completed in under a minute directly from the browser. The fact to be added is about the variety of KitKat flavors available in Japan.

AI Summary: This issue is a beginner-friendly task to add a new color theme called 'Kumo Sky' to the KanaDojo project. It requires no coding or setup, and can be completed in under a minute by directly editing a JSON file in the browser.

AI Summary: This issue is a beginner-friendly task to add a new Japanese cultural etiquette tip to a JSON file. It requires no coding or setup and can be completed in under a minute by forking the repository, editing the JSON file directly in the browser, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new entry for a regional Japanese dialect to a JSON file. It requires no coding or setup, can be completed in under a minute directly in the browser, and is suitable for Hacktoberfest contributions.

AI Summary: This issue is a beginner-friendly task to add a new anime quote to a JSON file. No coding or setup is required, and the contribution can be made directly from the browser in under a minute. The task involves forking the repository, editing the `anime-quotes.json` file to include a specific quote, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new Japanese grammar point to a JSON file. It requires no coding or setup and can be completed in under a minute by forking the repository, editing the specified JSON file, and submitting a pull request.

AI Summary: This issue proposes to fix 82 existing Ruff linting errors in the experanto repository. Additionally, it aims to integrate Ruff into the CI/CD pipeline to automatically catch new linting issues on every pull request, preventing future code quality degradation.

AI Summary: This issue is a beginner-friendly task to add a new trivia question about the Japanese autumn moon-viewing festival to a JSON file. It requires no coding or local setup, and can be completed directly in the browser by forking the repository, editing the file, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new Japanese proverb to a JSON file. It requires no coding or setup, can be completed in under a minute directly in the browser, and is suitable for Hacktoberfest contributions.