Checkpoint Resume

Rate-limit-resilient pipeline orchestrator. Saves progress to .claude/pipeline-state.json after every phase so long sessions survive interruptions.

Quick Reference

Total: 3 rules across 3 categories

On Invocation

If .claude/pipeline-state.json exists: run scripts/show-status.sh to display progress, then ask to resume, pick a different phase, or restart. Load Read("${CLAUDE_SKILL_DIR}/references/resume-decision-tree.md") for the full decision tree.

If no state file exists: ask the user to describe the task, build an execution plan, write initial state via scripts/init-pipeline.sh <branch>, begin Phase 1.

Execution Plan Structure

{
  "phases": [
    { "id": "create-issues", "name": "Create GitHub Issues", "dependencies": [], "status": "pending" },
    { "id": "commit-scaffold", "name": "Commit Scaffold", "dependencies": [], "status": "pending" },
    { "id": "write-source", "name": "Write Source Files", "dependencies": ["commit-scaffold"], "status": "pending" }
  ]
}

Phases with empty dependencies may run in parallel via Task sub-agents (when they don't share file writes).

After Each Phase

1. Update .claude/pipeline-state.json — see Read("${CLAUDE_SKILL_DIR}/rules/state-write-timing.md")
2. Every 3 phases: create a mini-commit — see Read("${CLAUDE_SKILL_DIR}/rules/checkpoint-mini-commit.md")

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):

Scripts

• scripts/init-pipeline.sh <branch> — print skeleton state JSON to stdout
• scripts/show-status.sh [path] — print human-readable pipeline status (requires jq)

Key Decisions