bkt

avivsinai/bitbucket-cli · updated Apr 8, 2026

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$npx skills add https://github.com/avivsinai/bitbucket-cli --skill bkt
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summary

bkt is a unified CLI for Bitbucket Data Center and Bitbucket Cloud. It mirrors gh ergonomics and provides structured JSON/YAML output for automation.

skill.md

Bitbucket CLI (bkt)

bkt is a unified CLI for Bitbucket Data Center and Bitbucket Cloud. It mirrors gh ergonomics and provides structured JSON/YAML output for automation.

Dependency Check

Before executing any bkt command, verify the CLI is installed:

bkt --version

If the command fails or bkt is not found, install it using one of these methods:

Platform Command
macOS/Linux brew install avivsinai/tap/bitbucket-cli
Windows scoop bucket add avivsinai https://github.com/avivsinai/scoop-bucket && scoop install bitbucket-cli
Go go install github.com/avivsinai/bitbucket-cli/cmd/bkt@latest
Binary Download from GitHub Releases

Only proceed with bkt commands after confirming installation succeeds.

Authentication

# Data Center (opens browser for PAT creation)
bkt auth login https://bitbucket.example.com --web

# Data Center (direct)
bkt auth login https://bitbucket.example.com --username alice --token <PAT>

# Bitbucket Cloud
bkt auth login https://bitbucket.org --kind cloud --web

# Check auth status
bkt auth status

Bitbucket Cloud Token Requirements:

  • Create an "API token with scopes" (not a general API token)
  • Select Bitbucket as the application
  • Required scope: Account: Read (read:user:bitbucket)
  • Additional scopes as needed: Repositories, Pull requests, Issues

Contexts

Contexts store host, project/workspace, and default repo settings:

# Create context for Data Center
bkt context create dc-prod --host bitbucket.example.com --project ABC --set-active

# Create context for Cloud
bkt context create cloud-team --host bitbucket.org --workspace myteam --set-active

# List and switch contexts
bkt context list
bkt context use cloud-team

Quick Command Reference

Task Command
List repos bkt repo list
View repo bkt repo view <slug>
Clone repo bkt repo clone <slug> --ssh
Create repo bkt repo create <name> --description "..."
List PRs bkt pr list --state OPEN
View PR bkt pr view <id>
Create PR bkt pr create --title "..." --source feature --target main
Create draft PR bkt pr create --title "..." --source feature --target main --draft
Publish draft PR bkt pr publish <id>
Unpublish PR bkt pr publish --undo <id>
Merge PR bkt pr merge <id>
PR checks bkt pr checks <id> --wait
List branches bkt branch list
Create branch bkt branch create <name> --from main
Delete branch bkt branch delete <name>
List issues (Cloud) bkt issue list --state open
Create issue bkt issue create -t "Bug title" -k bug
Webhooks bkt webhook list
Run pipeline bkt pipeline run --ref main
API escape hatch bkt api /rest/api/1.0/projects

Repository Operations

bkt repo list --limit 20
bkt repo list --workspace myteam          # Cloud workspace override
bkt repo view platform-api
bkt repo create data-pipeline --description "Data ingestion" --project DATA
bkt repo browse --project DATA --repo platform-api
bkt repo clone platform-api --ssh

Pull Request Workflows

# List and view
bkt pr list --state OPEN --limit 10
bkt pr list --mine                        # PRs you authored
bkt pr view 42
bkt pr view 42 --web                      # Open in browser

# Create and edit
bkt pr create --title "feat: cache" --source feature/cache --target main --reviewer alice
bkt pr create --title "WIP: refactor" --source refactor/auth --target main --draft

bkt pr edit 123 --title "New title" --body "Updated description"

# Publish / unpublish draft PRs
bkt pr publish 42                         # Mark draft PR as ready for review
bkt pr publish --undo 42                  # Convert PR back to draft

# Review and merge
bkt pr approve 42
bkt pr comment 42 --text "LGTM"
bkt pr comment 42 --text "Needs refactor" --pending   # Pending (draft) comment
bkt pr merge 42 --message "merge: feature/cache"
bkt pr merge 42 --strategy fast-forward

# CI/build status
bkt pr checks 42                          # Show build status
bkt pr checks 42 --wait                   # Wait for builds to complete
bkt pr checks 42 --wait --timeout 5m      # With timeout
bkt pr checks 42 --fail-fast              # Exit on first failure

# Checkout locally
bkt pr checkout 42                        # Fetches to pr/42 branch

Branch Management

bkt branch list
bkt branch list --filter "feature/*"
bkt branch create release/1.9 --from main
bkt branch delete feature/old-stuff
bkt branch set-default main               # DC only
bkt branch protect add main --type fast-forward-only  # DC only

Issue Tracking (Bitbucket Cloud Only)

bkt issue list --state open --kind bug
bkt issue view 42 --comments
bkt issue create -t "Login broken" -k bug -p major
bkt issue edit 42 --assignee "{uuid}" --priority critical
bkt issue close 42
bkt issue reopen 42
bkt issue comment 42 -b "Fixed in v1.2.0"
bkt issue status                          # Your assigned/created issues

Issue kinds: bug, enhancement, proposal, task Priorities: trivial, minor, major, critical, blocker

Webhooks

bkt webhook list
bkt webhook create --name "CI" --url https://ci.example.com/hook --event repo:refs_changed
bkt webhook delete <id>
bkt webhook test <id>

Pipelines (Cloud)

bkt pipeline run --ref main --var ENV=staging
bkt pipeline list                         # Recent runs
bkt pipeline view <uuid>                  # Pipeline details
bkt pipeline logs <uuid>                  # Fetch logs
bkt status pipeline <uuid>                # Alt: status check

Permissions (DC)

bkt perms project list --project DATA
bkt perms project grant --project DATA --user alice --perm PROJECT_WRITE
bkt perms repo list --project DATA --repo platform-api
bkt perms repo grant --project DATA --repo api --user alice --perm REPO_WRITE

Raw API Access

For endpoints not yet wrapped:

bkt api /rest/api/1.0/projects --param limit=100 --json
bkt api /repositories --param workspace=myteam --field pagelen=50

Output Modes

All commands support structured output:

bkt pr list --json                        # JSON output
bkt pr list --yaml                        # YAML output
bkt pr list --json | jq '.pull_requests[0].title'

Global Options

  • --json / --yaml — Structured output
  • --context <name> — Use specific context
  • --project <key> — Override project (DC)
  • --workspace <name> — Override workspace (Cloud)
  • --repo <slug> — Override repository

Environment Variables

  • BKT_CONFIG_DIR — Config directory override
  • BKT_ALLOW_INSECURE_STORE — Allow file-based credential storage
  • BKT_KEYRING_TIMEOUT — Keyring operation timeout (for example 2m)

References

how to use bkt

How to use bkt on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add bkt
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/avivsinai/bitbucket-cli --skill bkt

The skills CLI fetches bkt from GitHub repository avivsinai/bitbucket-cli and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/bkt

Reload or restart Cursor to activate bkt. Access the skill through slash commands (e.g., /bkt) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.527 reviews
  • Daniel Verma· Dec 28, 2024

    Solid pick for teams standardizing on skills: bkt is focused, and the summary matches what you get after install.

  • Pratham Ware· Dec 24, 2024

    Solid pick for teams standardizing on skills: bkt is focused, and the summary matches what you get after install.

  • Noor Nasser· Dec 20, 2024

    bkt is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aisha Srinivasan· Nov 19, 2024

    We added bkt from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Nov 15, 2024

    We added bkt from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Emma Jain· Oct 10, 2024

    bkt fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dhruvi Jain· Oct 6, 2024

    bkt fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Sep 25, 2024

    Registry listing for bkt matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ama Reddy· Sep 17, 2024

    Solid pick for teams standardizing on skills: bkt is focused, and the summary matches what you get after install.

  • Kwame Johnson· Sep 1, 2024

    Registry listing for bkt matched our evaluation — installs cleanly and behaves as described in the markdown.

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