Help Wanted

AI Summary: This issue is a beginner-friendly task to add a new color theme called "Frozen Lake" to the KanaDojo project. It requires no coding and can be completed entirely in the browser by editing a JSON file, making it ideal for new open-source contributors and Hacktoberfest participants.

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

AI Summary: This issue is a beginner-friendly task to add a new color theme called "Paper Lantern" to the KanaDojo project. It involves editing a JSON file directly in the browser, requiring no code installation or complex setup. The contribution is designed to be completed in under a minute and is suitable for absolute beginners, including those participating in Hacktoberfest.

AI Summary: This issue is a "Good First Issue" for beginners to contribute to the KanaDojo project by adding a new color theme called "Pachinko Hall". No coding knowledge is required, as the contribution involves simply editing a JSON file in the browser by pasting provided theme details. The task is designed to be completed in under a minute.

AI Summary: This issue is a beginner-friendly task to add a new Japanese proverb to a JSON file. No coding experience is required, and the contribution can be made directly from the browser in under a minute. The task involves forking the repository, editing a specific JSON file to include the new proverb's details, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new color theme named "Karasu Black" to the KanaDojo project. It requires no coding and can be completed entirely through the browser by editing a JSON 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 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, "good first issue" task to add a new color theme called "Matcha Cream" to the KanaDojo project. It requires no coding and can be completed entirely through the GitHub web interface by editing a JSON file. The task involves forking the repository, adding the theme's details to a specific JSON 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. No coding knowledge is required, and the contribution can be made directly through the GitHub web interface in under a minute. It's designed for new contributors and is labeled for Hacktoberfest.

AI Summary: This issue addresses a problem where the DevContainer build process relies on feature images from an archived GitHub organization (`devcontainers-contrib`). The goal is to update the `devcontainer.json` to use maintained feature images from `devcontainers-extra` or install the necessary tools directly via `postCreateCommand` to prevent build failures.

AI Summary: This issue is a beginner-friendly request to add a new color theme called "Vending Glow" to the KanaDojo project. It requires no coding and can be completed in under a minute by directly editing a JSON file in the browser, making it ideal for new open-source contributors.

AI Summary: This issue proposes the creation of a `new-issue.prompt.md` file within the `.github/copilot/` directory. This prompt will guide users, especially those using AI tools like GitHub Copilot, to structure new issues consistently with an outcome-oriented title, user story, acceptance criteria, and out-of-scope sections, mirroring existing issue formats.

AI Summary: This issue proposes creating a single documentation file for commit message conventions, specifically adhering to the Conventional Commits standard. The goal is to provide clear instructions for contributors and coding agents to ensure commit messages meet repository-specific rules, which will help pass CI checks and correctly populate the CHANGELOG.

AI Summary: This issue proposes to update the `.github/copilot-instructions.md` file to redirect to `AGENTS.md`. The goal is to consolidate project-level guidance for GitHub Copilot within a single file, ensuring consistency in code conventions across human and agent-generated code. The change involves creating the redirect file with specific content and potentially appending Copilot-specific guidance.

AI Summary: This issue proposes a change to how Claude Code handles repository conventions. Instead of directly loading `CLAUDE.md`, it should redirect to `AGENTS.md` to maintain a single source of truth. The `CLAUDE.md` file will contain a redirect to `AGENTS.md` and any Claude-Code-specific guidance not relevant to `AGENTS.md`.

AI Summary: This issue proposes to automate pull request review routing by implementing GitHub's CODEOWNERS feature. The goal is to ensure that the correct person is automatically requested for reviews, preventing PRs from being delayed due to manual tagging. This will be achieved by creating a CODEOWNERS file and enabling branch protection rules.

AI Summary: This issue requests the implementation of a documented security disclosure process for the project. It aims to provide security researchers with a clear and private channel to report vulnerabilities, preventing them from having to resort to public issue trackers for sensitive information.

AI Summary: This issue proposes adding a default pull request template to the repository. The template will prompt contributors to provide a summary, link to relevant issues, and outline a test plan, aiming to improve review efficiency and clarity by ensuring essential information is provided upfront.

AI Summary: This issue proposes improving the feature request form on GitHub to encourage users to describe the problem they are trying to solve (outcome-oriented phrasing) rather than suggesting specific implementations. This will be achieved by adding guidance and structured fields to the issue template, aiming to make feature requests easier to triage and scope.

AI Summary: This issue proposes implementing a GitHub Issue Form for bug reports to ensure reporters provide essential context like version information, commands, and observed/expected behavior. This will streamline the bug reporting process by reducing the need for follow-up questions and making bugs actionable upon initial submission. The form will also include a pre-submission checkbox to encourage searching for existing issues and automatically apply a 'bug' label.

AI Summary: The Hypothesis `SNAPSHOTS` strategy currently generates identical filesystem names, preventing tests from exercising multi-filesystem scenarios. This issue proposes modifying the strategy to produce genuinely distinct names, ensuring proper testing of the planner's handling of multiple filesystems. A sanity test will be added to verify name variation, and existing tests must remain functional.

AI Summary: This issue proposes to optimize CI by automatically canceling older, redundant runs when new commits are pushed to the same branch or pull request. This will prevent wasted CI resources on superseded code, improving efficiency. The solution involves adding a `concurrency` block with `cancel-in-progress: true` to most GitHub Actions workflows, with an exception for the publish workflow.

AI Summary: This issue aims to update GitHub Actions used in workflows to reference their current major versions. This proactive update prevents CI from running on potentially deprecated runners that could cease functioning unexpectedly. The goal is a one-time catch-up before automated tools like Renovate maintain future updates.

AI Summary: This issue is a beginner-friendly task to add a new color theme called "Origami Crane" to the project. It requires no coding and can be completed entirely through the browser by editing a JSON file. The contribution involves adding a new theme object with specific color properties to the `community-themes.json` file.

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

AI Summary: This issue is a "Good First Issue" for beginners to contribute to the KanaDojo project. It involves adding a new color theme called "Cedar Moss" by simply editing a JSON file in the browser, requiring no coding or local setup. The task is straightforward and designed to be completed in under a minute.

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

AI Summary: This issue is a "Good First Issue" that invites contributors to add a new color theme called "Shinkansen Speed" to the KanaDojo project. The contribution requires no coding and can be completed entirely through the browser by editing a JSON file, making it ideal for beginners.

AI Summary: This issue is a beginner-friendly task to add a new Japanese proverb to a JSON file. It requires no coding and can be completed directly in the browser by forking the repository, editing the file, and submitting a pull request. The proverb to be added is '案ずるより産むが易し' with its romaji, English translation, and meaning.

AI Summary: This issue is a beginner-friendly task to add a new color theme called "Matcha Foam" to the KanaDojo project. It requires no coding and can be completed entirely through the browser by editing a JSON file. The contribution involves forking the repository, adding a new theme object to a specific JSON file, and submitting a pull request.