cm-sprint-bus — opinionated pipeline + artifacts

SkillMonitoring & ops

Use to run the full sprint pipeline: brainstorm → plan → design → tdd → build → review → qa → security → ship → monitor → retro.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the cm-sprint-bus — opinionated pipeline + artifacts skill

What this skill tells your AI

The instructions your AI receives, as published by tody-agent/codymaster in skills/cm-sprint-bus/SKILL.md and read by ahel’s review.

TL;DR

  • Use to drive the full sprint: brainstorm → ship → retro
  • Phases: brainstorm, plan, design, tdd, build, review, qa, security, ship, monitor, retro
  • Each phase: writes Markdown artifact + handoff JSON
  • CLI: cm sprint init|status|complete|skip|dry-run

Pipeline

brainstorm → plan → design → tdd → build → review → qa → security → ship → monitor → retro

CLI

cm sprint init --project .
cm sprint init --from plan --project .    # jump in mid-pipeline
cm sprint status --project .
cm sprint complete plan -m "$(cat plan-notes.md)" --project .
cm sprint dry-run --project .

Artifacts

  • .cm/sprint/state.json
  • .cm/sprint/artifacts/<step>.md
  • .cm/sprint/events.jsonl

Skill mapping (hints)

Each step maps to existing CodyMaster skills (see skillMappingForStep in src/sprint-pipeline.ts). Use cm sprint status for the next recommended skill.

Context bus

This complements .cm/context-bus.json (skill-chain). Prefer sprint files for linear release trains; use context bus for ad-hoc chains.

Signals

GitHub stars
52
Forks
23
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
cm-sprint-bus
Source
github.com/tody-agent/codymaster