Autonomous multi-agent development framework with spec-driven sprints. Write specs, run /sprint, and let coordinated agents (backend, frontend, QA, UI testing) handle implementation through self-iterating convergent loops.
Installation
Open Claude Code and run this command:
/plugin install sprint@claude-code-plugins-plus
Use --global to install for all projects, or --project for current project only.
What It Does
> Autonomous multi-agent development plugin for Claude Code. Spec-driven, iterative sprints with specialized agents.
Part of Agentic Forge — Claude Code plugins for autonomous AI workflows.
Stop prompting in circles. Sprint replaces ad-hoc AI coding with structured, specification-driven development. Write specs, run /sprint, and let coordinated agents handle the rest.
At its core, the /sprint command is a spec-driven, self-iterative state machine — it reads your specifications, orchestrates specialized agents through defined phases, and loops autonomously until the work is done or validation passes.
Skills (4)
'Execute this skill should be used when the user asks about "SPAWN REQUEST.
Agent Patterns
Overview
Agent Patterns defines the coordination protocol for multi-agent sprint execution within the Sprint plugin. It governs how the project architect spawns implementation and testing agents, how agents communicate results via structured reports, and how parallel agents avoid conflicts.
Prerequisites
- Sprint plugin installed and configured (
/plugin install sprint) - Sprint directory initialized at
.claude/sprint/[N]/ specs.mdwritten with clear scope and testing configuration- Familiarity with the sprint phase lifecycle (see the
sprint-workflowskill)
Instructions
- Structure every agent spawn using the SPAWN REQUEST format. Include the agent name, the specification file it should read, and any scope constraints:
SPAWN REQUEST
Agent: python-dev
Specs: .claude/sprint/1/backend-specs.md
Contract: .claude/sprint/1/api-contract.md
Scope: Authentication endpoints only
- Ensure each spawned agent receives only the files relevant to its scope. Pass the
api-contract.mdas a shared interface so backend and frontend agents stay synchronized. - Collect structured reports from every agent upon completion. Each report must include: work completed, files modified, tests added, and conformity status against the specification.
- When running agents in parallel, partition work by domain boundary (e.g., backend vs. frontend vs. CI/CD). Never assign overlapping file paths to concurrent agents.
- Feed agent reports back to the project architect for review. The architect decides whether to iterate (re-spawn with narrowed specs) or advance to the next phase.
- For testing agents, pass the UI test report format shown in
${CLAUDESKILLDIR}/references/ui-test-report.mdso results follow a consistent schema including test counts, coverage, failures, and console errors.
Output
- SPAWN REQUEST blocks consumed by the sprint orchestrator to launch agents
- Structured agent reports containing: summary, files changed, test results, and conformity status
- UI test reports with pass/fail counts, coverage details, failure descriptions, and console error logs
- Updated
status.mdreflecting completed and remaining work after each iteration
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Agent receives wrong specification file | Incorrect path in SPAWN REQUEST | Verify the sprint directory number and file name before spawning |
| Overlapping file modifications from parallel agents | Scope boundaries not clearly defined | Partition work by domain; assign distinct directories to each agent |
| Agent repor
'Configure this skill should be used when the user asks about "API contract",.
Read
API ContractOverviewAPI Contract guides the creation of Prerequisites
Instructions
Output
'Execute this skill should be used when the user asks about "writing.
Read
Spec WritingOverviewSpec Writing provides guidance on authoring effective Prerequisites
Instructions
Output'Execute this skill should be used when the user asks about "how sprints.
Read
Sprint WorkflowOverviewSprint Workflow describes the convergent diffusion execution model used by the Sprint plugin. A sprint progresses through six distinct phases -- from loading specifications through architectural planning, parallel implementation, testing, review, and finalization. Prerequisites
Instructions
How It Works1. Set Up Your Project
This creates both Second Brain documents through guided questions:
2. Create Your First Sprint
This creates 3. Run the Sprint
Watch the agents work:
FAQ
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Tags
autonomousagenticyoloself-iteratingmulti-agenthands-offauto-pilotorchestrationsprinttestingqamcp
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