Finishing A Development Branch (Grade A) logo

Finishing A Development Branch (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by p

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Finishing a Development Branch is a security-tested data-ai skill for Claude AI that guides the completion of development work by presenting structured options for merge, PR, or cleanup. It verifies the quality of the work and completes the branch workflow. The skill operates in two modes: 'agentic' and 'human-in-the-loop'. In 'agentic' mode, it auto-pushes the branch and creates a PR without user input. In 'human-in-the-loop' mode, it presents four structured options to the user and executes their choice. The process involves verifying tests, determining the base branch, completing the branch workflow, and cleanup. The skill announces its use at the start and provides a report of the actions taken.

Key features

  • Test verification
  • Base branch determination
  • Automated branch completion
  • Structured options for human-in-the-loop mode
  • Cleanup worktree

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Completing a Feature Branch

Use the skill to complete a feature branch by verifying tests, determining the base branch, and choosing a completion option.

Automating Development Workflow

Use the skill in 'agentic' mode to automate the completion of development work, including pushing the branch and creating a PR.

Pros & Cons

Pros

  • Streamlines development workflow
  • Ensures tests pass before proceeding
  • Provides structured options for branch completion
  • Supports both automated and manual modes

Cons

  • Limited customization options
  • Dependent on conductor/config.json configuration
  • May require additional setup for specific projects

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Q&A

Can I use this alongside other Claude Code plugins?

Yes. SupaConductor uses the /orchestrator-supaconductor: namespace and doesn't conflict with any other plugins, built-in commands, or MCP servers.

Asked by Linda Petersen · Sep 21, 2025

Is this overkill for small tasks?

For a quick one-file fix — yes, just use Claude Code directly. Use SupaConductor when: the work touches 3 or more files, you’d normally plan before coding, you want automated quality checks, you want the work done right the first time, or you can also use individual commands without the full loop.

Asked by Ren Nakamura · Sep 15, 2025

Does this work with Cursor, Windsurf, or other AI tools?

No — SupaConductor is a Claude Code plugin that requires Claude Code's plugin system (agents, skills, slash commands, hooks). However, the conductor/ directory it creates is just Markdown files. Any AI tool can read them. If you start with SupaConductor and switch tools later, your specs, plans, and documentation remain useful.

Asked by Bilal Choudhury · Sep 12, 2025

How much of my context window does this use?

Skills use progressive disclosure — only ~100 tokens each for metadata. Full instructions load only when activated (typically under 5,000 tokens each). The 39 skills are not loaded all at once. Agents run as separate conversations with their own context windows, so they don't fill up your main conversation. | Component | Context Used | When | |-----------|-------------|------| | Orchestrator | ~4,000 tokens | Active during /go | | Planner | ~3,000 tokens | During planning only | | Evaluator | ~2,500 tokens each | Only the active evaluator loads | | Board meeting | ~5,000 tokens | On-demand only | | Idle | ~500 tokens | Between steps |

Asked by Hiroshi Tanaka · Sep 2, 2025

How much does this cost in API credits?

SupaConductor uses the same Claude API as normal Claude Code — it just structures the work more carefully. Because it runs multiple agents (planning, execution, evaluation), it uses roughly 3-5x the API calls compared to doing everything manually in one conversation. SupaConductor optimizes costs automatically: it uses Opus (the most capable model) for planning and evaluation, and Sonnet (faster, cheaper) for execution tasks. Ways to reduce cost: Use /orchestrator-supaconductor:implement if you write specs yourself, skip board meetings for small features (they're opt-in), or use human-in-the-loop mode to stay in control of scope.

Asked by Ola Eriksen · Sep 1, 2025

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