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Javdb Cli Pr

Community
FlanChanXwO
javdb-cli-pr

Prepare or update a javdb-cli PR and verify its diff, template, declared commands, reviews, and current-head checks. Use for contributor handoff or readiness assessment; does not authorize merging, real-service /test requests, or publication.

Overview

PublisherFlanChanXwO
Repositoryjavdb-cli
Skill namejavdb-cli-pr
Stars
76
Forks
15
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by FlanChanXwO on GitHub. Read the source before you install it.

Installation

Install the Javdb Cli Pr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/FlanChanXwO/javdb-cli/tree/main/.agents/skills/javdb-cli-pr
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FlanChanXwO/javdb-cli.git /tmp/javdb-cli
mkdir -p .claude/skills
cp -r /tmp/javdb-cli/.agents/skills/javdb-cli-pr .claude/skills/javdb-cli-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Javdb Cli Pr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Javdb Cli Pr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Javdb Cli Pr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Prepare a javdb-cli PR

Resolve the repository, base, branch, and current head. Read AGENTS.md, the issue/request, status, and the actual range diff. Preserve unrelated work; use javdb-cli-test and javdb-cli-review before handoff.

Read the target branch's .github/PULL_REQUEST_TEMPLATE.md and preserve its literal headings/checklist. The current parser expects the bilingual heading spelling; instructions in English do not authorize changing that wire contract. Use concise English prose under the template unless the user requests another language.

Explain changes, reasons, compatibility impact, and actual verification. Check required items honestly and identify gaps. Ordinary PRs do not require release-note metadata, a version bump, or versioned changelog entries.

A fenced commands block declares on-demand verification. It is not a shell transcript: inspect the trusted tools/verification/command-whitelist.txt, use only supported command/pipe forms, and keep credentials/private targets out of the body. Use a normal code fence for previously run evidence commands instead. Posting /test is an explicitly authorized live-service action, not automatic readiness bookkeeping.

For a non-secret prepared body, run from the repository root:

bash
go run ./tools/prmeta --body-file BODY_PATH --cli javdb

Substitute the real body file. A passing local parser proves syntax only, not live results, remote permissions, or that the chosen targets are authorized.

Push/create/update only the authorized branch/PR. Verify checks, reviews, and mergeability on the current head SHA and use javdb-cli-ci for failures. Report passed, failed, pending, and skipped distinctly. Never force-push, merge, tag, or publish because the PR text is valid.

Include the head's commit statuses as well as check runs. Platform/Container worker runs execute under the trusted base ref; follow the smoke Check Run details URL instead of treating the absence of a PR-head workflow run as missing smoke evidence. Keep skipped checks distinct from executed passes.

Return the PR URL, commit, validation, and unresolved blockers. Local self-review does not count as a maintainer approval.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Javdb Cli Pr AI skill do?

Prepare or update a javdb-cli PR and verify its diff, template, declared commands, reviews, and current-head checks. Use for contributor handoff or readiness assessment; does not authorize merging, real-service /test requests, or publication.

Why use Javdb Cli Pr on TypingMind?

Because you install it once and use it with any model. Javdb Cli Pr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Javdb Cli Pr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlanChanXwO/javdb-cli/tree/main/.agents/skills/javdb-cli-pr. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Javdb Cli Pr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Javdb Cli Pr?

As many as you like. As long as a model supports skills, you can use Javdb Cli Pr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Javdb Cli Pr AI skill free?

Yes. It is published on GitHub by FlanChanXwO under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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