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Install in OpenClaw
/install nm-attune-dorodango
Description
Iteratively polish code through successive quality passes run in fresh subagents
Usage Guidance
This skill appears to do what it says: run iterative passes (tests, clarity, consistency, polish) and edit code until convergence, recording progress in .attune/dorodango-state.json. Before running: back up your code or run in a disposable branch/worktree, ensure tests can be executed safely in your environment, and review the edits produced by the skill. Note the skill may invoke other installed skills (e.g., pensive:code-refinement) for certain passes — those skills may introduce additional behavior you should review. If you require absolute isolation, run the workflow in a sandbox or CI environment rather than on a live repository.
Capability Assessment
Purpose & Capability
Name/description (iterative polishing) align with the declared artifacts: pass-definitions, state persistence, and subagent-driven passes. The declared config dependency (night-market.modules/pass-definitions.md) is present and matches the described pass types.
Instruction Scope
SKILL.md instructs running tests (bash/pytest), reading and editing target files, and creating .attune/dorodango-state.json. These actions are expected for a code-polishing workflow but do mean the skill will execute test commands and modify source files in the target directory — review changes or run in a sandbox if you need to be cautious.
Install Mechanism
Instruction-only skill with no install spec and no code files. Lowest-risk install posture — nothing is downloaded or written by an installer beyond the described state file when run.
Credentials
No environment variables, credentials, or unrelated config paths are requested. The single declared config file is the included pass-definitions.md, which is appropriate for the skill's behavior.
Persistence & Privilege
Does not request always:true, does not modify other skills, and only persists a local state file (.attune/dorodango-state.json) to resume sessions. Autonomous invocation is allowed by default but is not combined with elevated privileges or extra credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-attune-dorodango - After installation, invoke the skill by name or use
/nm-attune-dorodango - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the dorodango skill for iterative code polishing.
- Introduces a four-pass workflow targeting correctness, clarity, consistency, and final polish
- Tracks convergence state per quality dimension for efficient, resumable operation
- Uses isolated subagents for each pass to ensure fresh context and reliable results
- Automatically halts after maximum 10 passes or when all dimensions are converged
- Designed for post-implementation code refinement and preparation for review or release
Metadata
Frequently Asked Questions
What is Nm Attune Dorodango?
Iteratively polish code through successive quality passes run in fresh subagents. It is an AI Agent Skill for Claude Code / OpenClaw, with 128 downloads so far.
How do I install Nm Attune Dorodango?
Run "/install nm-attune-dorodango" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Attune Dorodango free?
Yes, Nm Attune Dorodango is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Attune Dorodango support?
Nm Attune Dorodango is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Attune Dorodango?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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