Smithery Logo
MCPsSkillsDocsPricing
Login
Smithery Logo

Accelerating the Agent Economy

Resources

DocumentationPrivacy PolicySystem Status

Company

PricingAboutBlog

Connect

© 2026 Smithery. All rights reserved.

    jeremylongshore

    sprint-workflow

    jeremylongshore/sprint-workflow
    Productivity
    1,221
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
    • GitHub Copilot
      GitHub Copilot
    • Gemini CLI
      Gemini CLI
    • Kilo Code
      Kilo Code
    • Junie
      Junie
    • Replit
      Replit
    • Windsurf
      Windsurf
    • Cline
      Cline
    • Continue
      Continue
    • OpenCode
      OpenCode
    • OpenHands
      OpenHands
    • Roo Code
      Roo Code
    • Augment
      Augment
    • Goose
      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Execute this skill should be used when the user asks about "how sprints work", "sprint phases", "iteration workflow", "convergent development", "sprint lifecycle", "when to use sprints", or wants to...

    SKILL.md

    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

    Error Cause Solution
    Sprint stuck in iteration loop (hits 5 iterations) Specs too broad or contain unresolvable conflicts Review status.md for blocking issues; narrow scope or resolve conflicting requirements
    Phase 2 agents not spawned Architect SPAWN REQUEST missing or malformed Verify architect agent produced valid SPAWN REQUEST blocks with correct agent names
    Tests fail repeatedly on same issue Implementation does not match contract Compare agent output against api-contract.md; check for schema mismatches
    Sprint cannot find specs Wrong sprint directory number Verify .claude/sprint/[N]/specs.md exists; run /sprint:new if needed
    Architect skips testing phase Testing section missing from specs.md Add 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
    Recommended Servers
    GitHub
    GitHub
    Repository
    jeremylongshore/claude-code-plugins-plus-skills
    Files