Analysis updated 2026-05-18
Ask an AI coding agent to break a multi-step feature into a stack of small draft pull requests.
Let a Linear issue's sub-issues automatically define the steps of a stacked PR chain.
Review and merge an agent's large task incrementally from the bottom of the stack up.
| dabit3/cloud-stacked-diffs | 0311119/free_registertool | 18597990650-lab/multi-agent-game | |
|---|---|---|---|
| Stars | 24 | 24 | 24 |
| Language | — | Python | Python |
| Setup difficulty | easy | hard | moderate |
| Complexity | 2/5 | 4/5 | 3/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires git and a way to create pull requests, such as the gh or glab CLI.
cloud-stacked-diffs is a skill file that teaches an AI coding agent, such as Claude, Devin, or Codex, a better way to hand back work on a large task. Instead of delivering one giant pull request that is hard for a human to review, the agent is guided to split the task into a chain of smaller draft pull requests, called a stack, where each one builds on the branch before it. The problem it solves is that cloud coding agents working without a human watching closely often produce one unreviewable block of changes. With this skill installed, the agent breaks a multi-step task into individual steps, creates one branch and one draft pull request per step, and makes sure each step passes its own checks such as linting, type checking, and tests before moving to the next. Reviewers can then approve and merge the stack from the bottom up, in small pieces, without blocking the agent from continuing its work in the meantime. It can be installed with a small command-line tool called the Skills CLI, or by copying the skill folder directly into a project's .agents/skills directory, where compatible agents discover it automatically. A user simply asks the agent to split a task into stacked pull requests and lists the steps, or, if the project uses the Linear issue tracker connected through its own integration, points the agent at a Linear issue and lets its sub-issues define the steps. The skill also handles trickier situations such as an earlier step changing after later ones were built, PRs needing to be closed because they were superseded, and reviewer comments needing to reach the correct branch in the chain. The agent using this skill never merges pull requests or pushes to the main branch itself, leaving that decision to a human. This project is meant for developers who use AI coding agents for larger tasks and want the output to arrive as reviewable, incremental pull requests rather than one large change.
cloud-stacked-diffs is an agent skill that teaches AI coding assistants to split large tasks into a chain of small, reviewable draft pull requests instead of one giant PR.
No license file is mentioned in the README, so usage terms are unclear.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.