OpenClaw Sprint System
The sprint packet, kanban flow, and meeting contract OpenClaw should use for autonomous engineering work
OpenClaw Sprint System
This doc defines the minimum process OpenClaw needs to run real engineering work with low supervision and high traceability.
The principle is simple: autonomy comes from documentation quality, not vibes.
Sprint Packet Contract
Every active sprint should have one packet. The packet can be Markdown, but it must contain all of the following.
Required Header
- Sprint ID
- Sprint Name
- Start Date
- Owner
- Reviewer Lead
- Verifier Lead
- Status
Required Body
- Objective: one paragraph
- In Scope: the work actually intended
- Out of Scope: explicit non-goals
- Linked Decisions / Proposals / Huddles
- Autonomy Class:
A0toA4 - Acceptance Criteria
- Test and Verification Plan
- Documentation Plan
- Blockers and Dependencies
- Task Cards
- Exit Criteria
Task Card Contract
Every buildable task needs:
- Task ID
- Title
- Owner
- Reviewer
- Status
- Scope
- Files or systems in scope
- Acceptance criteria
- Test expectation
- Risks or boundary notes
If those fields do not exist, the task is not ready for autonomous execution.
Suggested Sprint Cadence
Use a short cadence. For OpenClaw, one-week sprints are a good default because the system is still changing quickly.
Recommended ceremony order:
- Intake triage
- Sprint planning
- Design huddle if required by autonomy class
- Build and review
- Verification and release readiness
- Retro
When A Huddle Is Required
Use a huddle before work starts when a task touches:
- architecture
- external interfaces
- schema or storage contracts
- auth or security
- permissions or trust boundaries
- governance process
- organism layer mapping
Huddles are for readiness and design pressure-testing. They are not decrees.
Kanban Rules
Use one board with these states:
- Intake
- Ready
- In Sprint
- In Build
- In Review
- In Verify
- Blocked
- Done
- Retro
State Semantics
- Intake: raw idea or request
- Ready: clear enough to schedule
- In Sprint: committed to the current sprint
- In Build: an agent is implementing
- In Review: code or artifact review in progress
- In Verify: tests, acceptance, or rollout checks in progress
- Blocked: waiting on an external condition
- Done: accepted and documented
- Retro: lessons that should improve the next sprint
Definition Of Ready
A task is ready only if:
- scope is bounded
- owner and reviewer are assigned
- autonomy class is known
- acceptance criteria are written
- dependencies are named
Definition Of Done
A task is done only if:
- the implementation exists
- review passed
- verification evidence exists
- docs were updated if needed
- risks or follow-up items were recorded
Minimal Meeting Outputs
Intake Output
- normalized title
- one-sentence outcome
- initial autonomy class guess
- routing note
Sprint Planning Output
- chosen scope
- rejected scope
- task owners
- acceptance criteria
- blocker list
Huddle Output
- design options considered
- preferred option
- unresolved risks
- escalation needs
Review Output
- findings
- acceptance or rejection
- follow-up fixes if needed
Retro Output
- what slowed agents down
- what caused rework
- what docs or skills must be improved
Recommended File Layout
Inside the OpenClaw workspace, keep the operating surfaces predictable:
OPENCLAW-ENGINEERING-OS.mdOPENCLAW-KANBAN.mdOPENCLAW-SPRINT-001.mdOPENCLAW-SPRINT-002.mdskills/sprint-delivery/SKILL.md
If you later add automation, it should update those files instead of inventing a second hidden process.
Default Trust Model
Use this rule:
- builders may deliver within
A1andA2 - reviewers and verifiers must be separate from the builder role
A3requires huddleA4requires governance
That gives you speed without pretending every task is equally safe.
Metrics That Matter
Track:
- cycle time from Ready to Done
- review rejection rate
- escaped regressions
- percentage of tasks with complete sprint packet fields
- documentation freshness
- blocker age
Do not optimize for raw message count or sheer agent activity.
Why This Matters
Without a sprint system, OpenClaw becomes a stream of partially scoped requests and improvised agent behavior.
With a sprint system, it becomes a coding organization that can make local decisions quickly because the higher-order thinking was already written down.