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Sprint Workflow

Free

Streamline your agile sprints with a structured execution model.

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Free · Opens the source repo

What Sprint Workflow does

Sprint Workflow provides a systematic approach to managing agile sprints through a convergent diffusion execution model. This skill guides users through six distinct phases of a sprint, ensuring that each stage is well-defined and executed efficiently. From loading specifications to finalizing the sprint, the skill orchestrates the necessary actions and interactions between different agents, making it easier to maintain focus and clarity throughout the development process.

The workflow begins with loading specifications, where the orchestrator identifies the sprint directory and reads the requirements from specs.md. It then moves through architectural planning, implementation, testing, review, and finalization. Each phase is designed to build upon the previous one, allowing for a structured progression that minimizes confusion and maximizes productivity. The skill also emphasizes the importance of convergence, where completed tasks are removed from specifications, ensuring that the team only addresses outstanding issues.

This skill is ideal for teams that utilize agile methodologies and are looking to enhance their sprint execution process. It is particularly useful for developers and project managers who need a clear framework for managing iterations and ensuring that all team members are aligned with project goals. By following the outlined phases, users can effectively navigate the complexities of sprint management and improve their overall workflow.

Incorporating this skill into your development process can lead to more efficient sprints, clearer communication among team members, and a greater likelihood of meeting project deadlines. With its detailed phase references and error handling guidelines, Sprint Workflow serves as a valuable resource for teams aiming to refine their agile practices.

When to use it

Use this skill when you want a structured approach to managing agile sprints and need clarity on each phase of the process.

When not to use it

This skill may not be suitable for teams that do not follow agile methodologies or prefer a more flexible, less structured approach to project management.

What you can build with it

Starting a New Sprint

Initiate a new sprint by creating a specifications file and executing the full phase lifecycle to manage your project effectively.

Resuming After an Iteration Pause

Review the status of your previous sprint and adjust specifications as needed before resuming the workflow.

Managing Iteration Convergence

Utilize the skill to navigate through iterations, ensuring that completed tasks are removed and only outstanding issues are addressed.

How to install Sprint Workflow

View source

1. Install with the skills CLI

npx skills add jeremylongshore/claude-code-plugins-plus-skills/sprint-workflow --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by jeremylongshore

Sprint Workflow

Overview

Sprint 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

  • Sprint plugin installed (/plugin install sprint)
  • Project onboarded via /sprint:setup (creates .claude/project-goals.md and .claude/project-map.md)
  • Sprint created via /sprint:new with a completed specs.md
  • Understanding of the agent system (see the agent-patterns skill)

Instructions

  1. Phase 0 -- Load Specifications. The orchestrator locates the sprint directory at .claude/sprint/[N]/, reads specs.md for requirements, reads status.md if resuming a prior iteration, and detects the project type for framework-specific agent selection. See ${CLAUDE_SKILL_DIR}/references/sprint-phases.md for the full phase reference.
  2. Phase 1 -- Architectural Planning. The project-architect agent reads project-map.md for architecture context and project-goals.md for business objectives. It produces specification files (api-contract.md, backend-specs.md, frontend-specs.md) and returns SPAWN REQUEST blocks for implementation agents.
  3. Phase 2 -- Implementation. The orchestrator spawns implementation agents in parallel based on the architect's SPAWN REQUEST blocks. Agents include python-dev, nextjs-dev, cicd-agent, and allpurpose-agent. Each agent reads its assigned spec files and the shared api-contract.md, then returns a structured report.
  4. Phase 3 -- Testing. Testing agents execute sequentially: qa-test-agent runs first (API and unit tests), then ui-test-agent runs browser-based E2E tests. Framework-specific diagnostics agents (e.g., nextjs-diagnostics-agent) run in parallel with UI tests. All agents produce test reports.
  5. Phase 4 -- Review and Iteration. The architect reviews all agent reports, analyzes conformity against specifications, updates specs (removing completed items, adding fixes for failures), and updates status.md. The architect then decides: spawn more implementation agents, run more tests, or finalize.
  6. Phase 5 -- Finalization. The orchestrator writes the final status.md summary, ensures all spec files are in a consistent state, cleans up temporary files like manual-test-report.md, and signals FINALIZE to end the sprint.
  7. Convergence model. Each iteration reduces noise: completed work is removed from specs, working code is preserved, and only failures are re-addressed. Most sprints converge within 3-5 iterations. After 5 iterations without convergence, the orchestrator pauses and prompts for manual intervention.

Output

  • Phase-by-phase execution log showing agent spawns, reports, and decisions
  • Updated status.md after each iteration reflecting completed and remaining work
  • Specification files that shrink with each iteration as requirements are satisfied
  • Final status.md summary upon sprint completion
  • FINALIZE signal to the orchestrator when all specs are satisfied

Error Handling

ErrorCauseSolution
Sprint stuck in iteration loop (hits 5 iterations)Specs too broad or contain unresolvable conflictsReview status.md for blocking issues; narrow scope or resolve conflicting requirements
Phase 2 agents not spawnedArchitect SPAWN REQUEST missing or malformedVerify architect agent produced valid SPAWN REQUEST blocks with correct agent names
Tests fail repeatedly on same issueImplementation does not match contractCompare agent output against api-contract.md; check for schema mismatches
Sprint cannot find specsWrong sprint directory numberVerify .claude/sprint/[N]/specs.md exists; run /sprint:new if needed
Architect skips testing phaseTesting section missing from specs.mdAdd QA: required and UI Testing: required to the specs (see spec-writing skill)

Examples

Starting a new sprint:

/sprint:new       # Creates .claude/sprint/1/specs.md
# Edit specs.md with requirements
/sprint           # Executes the full phase lifecycle

Resuming after iteration pause:

# Review .claude/sprint/1/status.md for blockers
# Adjust specs.md to narrow scope or fix conflicts
/sprint           # Resumes from Phase 0, reads updated specs and status

Typical convergence flow:

Iteration 1: Architect plans → 3 agents implement → tests find 2 failures
Iteration 2: Architect narrows specs to 2 fixes → agents patch → tests pass
Iteration 3: All specs satisfied → FINALIZE

Resources

  • ${CLAUDE_SKILL_DIR}/references/sprint-phases.md -- Detailed reference for all six phases with agent assignments and handoff rules
  • Agent patterns skill for SPAWN REQUEST format and report structure
  • Spec writing skill for authoring effective specs.md files
  • API contract skill for designing the shared interface between agents

Frequently asked questions about Sprint Workflow

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