Plugin · Claude Code · AI Agents

Moonklabs Aiwf

moonklabs-aiwf is a Claude Code plugin bundle for the Build phase that implements the AI Workflow Framework for sprint-based agentic development, review, and deployment workflows.

by moonklabs · github.com/moonklabs/aiwf

Register the AI Workflow Framework plugin pack to run sprint-style agentic coding with review, fixers, TDD, and deployment helpers in Claude Code.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install moonklabs-aiwf@moonklabs/aiwf
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:moonklabs/aiwf") and the paste-ready config with skillselion.get_install_config("plugin:moonklabs/aiwf").

About

What it does

moonklabs-aiwf packages the AI Workflow Framework as a Claude Code plugin bundle for builders who want structured agentic coding rather than ad-hoc prompts. The catalog lists four plugins with keywords spanning architects, sprint tasks, code review, debugging, TDD, Docker, Kubernetes, and deployment—signals of a multi-step pipeline from implementation through ship-ready artifacts. Solo builders can treat it as an orchestration layer: define work as sprints or tasks, lean on expert and fixer roles, and connect devops-minded automation without assembling dozens of separate skills. It suits intermediate users comfortable with agents owning longer sessions. It is weaker as a pure idea-validation or growth-analytics toolkit; pair it with landing and SEO tools separately if those phases matter.

Highlights

  • Four-plugin AI Workflow Framework (aiwf) for agentic coding
  • Covers architects, reviewers, build-fixers, sprint and task execution
  • DevOps-oriented keywords: docker, kubernetes, deploy, refactoring
  • Long-running agent and autonomous execution patterns
  • Workflow chain from development through deployment documentation

Why builders use it

Agentic coding without a shared workflow framework fragments architecture, review, fixes, and deploy steps across disconnected prompts.

After install, four aiwf plugins expose architect, reviewer, sprint-task, and deploy-oriented agent tooling so sessions follow a repeatable agentic coding pipeline.

At a glance

  • Type - Plugin in AI Agents.
  • Adoption - 0 installs, 1 stars, 0 votes.

FAQ

Who is moonklabs-aiwf for?

It is for developers using Claude Code who want moonklabs’ AI Workflow Framework with architects, reviewers, fixers, and sprint-style task execution in one plugin set.

When should I use moonklabs-aiwf?

Use it when you are actively building and shipping with agents and need coordinated code review, debugging, TDD, and deployment-oriented workflows.

How do I add moonklabs-aiwf to my agent?

Add the moonklabs/aiwf repository as a Claude Code plugin provider, enable the four-plugin bundle, and configure any API or Docker context your project requires.

Discussion

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