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Bkt

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avivsinai
bkt

Operate Bitbucket Cloud or Data Center repositories, pull requests, branches, issues, pipelines, permissions, and webhooks with bkt. Use when a request names Bitbucket or bkt; confirm the platform before platform-specific commands.

Overview

Publisheravivsinai
Repositorybitbucket-cli
Skill namebkt
Stars
246
Forks
50
Bundled files
19
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.

  • 19 bundled files

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

  • Open source

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

Installation

Install the Bkt 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/avivsinai/bitbucket-cli/tree/master/.agents/skills/bkt
  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/avivsinai/bitbucket-cli.git /tmp/bitbucket-cli
mkdir -p .claude/skills
cp -r /tmp/bitbucket-cli/.agents/skills/bkt .claude/skills/bkt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bkt 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 Bkt 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 Bkt 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.

Bitbucket CLI (bkt)

Use bkt for Bitbucket Cloud and Data Center operations. Prefer structured --json, --yaml, --jq, or --template output for automation.

Start with the requested operation

Run bkt --version only when installation or compatibility is uncertain. Run bkt auth status when the command needs authentication or the active platform and context are unknown. Do not make setup a prerequisite for an already configured read-only request.

Cloud and Data Center have different feature sets. Determine the platform from the active context or ask when it cannot be inferred. Do not suggest a Cloud-only command for Data Center, or the reverse.

Read setup and common workflows when installing, authenticating, creating a context, or learning the main command patterns. For config-free CI or containers, read headless authentication.

Route to the command reference

Read only the reference for the requested command group:

Mutation and credential boundaries

  • Listing, viewing, status, and checks are read-only. Create, edit, approve, merge, delete, rerun, or permission changes modify Bitbucket; perform them only when the user requested that change.
  • Never place tokens, OAuth secrets, or passwords in commands that could enter logs or committed files. Use the CLI's supported credential flow or environment variables described in the auth references.
  • Every bkt build carries its Cloud browser-OAuth consumer, so bkt auth login --kind cloud --web needs no setup.
  • Before a merge or other consequential write, inspect the exact target, repository, and current checks. Report the resulting URL or identifier.

References

  • admin — Administrative operations for Bitbucket (DC)
  • auth — Manage Bitbucket authentication credentials
  • branch — Inspect and manage branches
  • commit — Work with commits
  • context — Manage Bitbucket CLI contexts
  • extension — Manage bkt CLI extensions
  • issue — Work with Bitbucket Cloud issues (Cloud)
  • mcp — Model Context Protocol server for agents
  • perms — Manage Bitbucket permissions (DC)
  • pipeline — Run and inspect Bitbucket Cloud pipelines (Cloud)
  • pr — Manage pull requests
  • project — Work with Bitbucket projects (DC)
  • repo — Work with Bitbucket repositories
  • skill — Install and manage agent skills
  • status — Inspect commit and pull request statuses
  • variable — Manage pipeline variables (Cloud)
  • webhook — Manage Bitbucket webhooks
  • other — api

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 Bkt AI skill do?

Operate Bitbucket Cloud or Data Center repositories, pull requests, branches, issues, pipelines, permissions, and webhooks with bkt. Use when a request names Bitbucket or bkt; confirm the platform before platform-specific commands.

Why use Bkt on TypingMind?

Because you install it once and use it with any model. Bkt 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 Bkt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/avivsinai/bitbucket-cli/tree/master/.agents/skills/bkt. 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 Bkt?

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 Bkt?

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

Is the Bkt AI skill free?

Yes. It is published on GitHub by avivsinai 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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