Claude-code-plugins-plus-skills sprint-workflow

install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/community/sprint/skills/sprint-workflow" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-sprint-workflow && rm -rf "$T"
manifest: plugins/community/sprint/skills/sprint-workflow/SKILL.md
source content

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.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