Daily Loop Runner
/install daily-loop-runner
Daily Loop Runner
Advance one project by one meaningful step per loop. State read before execution, structured writeback after.
Input
Required:
project_card— full project card with current state, goals, blockerslatest_weekly_review— most recent weekly review notesrecent_daily_logs— list of recent daily loop logs (last 3-5)open_questions— unresolved questions from previous loops
Optional:
forced_bottleneck— override automatic bottleneck selection
Output Schema
today_objective: string # one clear goal for today
selected_agent: string | null # which agent or tool will execute
task_input: object # structured input for the selected agent
expected_output: string # what success looks like
execution_summary: string # what actually happened
findings: string[] # key discoveries
decisions: string[] # decisions made based on findings
next_action: string | null # what to do tomorrow
project_card_updates: object # fields to update on project card
writeback_payload: object # structured record for project memory
safe_to_proceed: boolean # false if state was incomplete
Hard Rules
- One project per run. Do not split focus.
- One bottleneck per run. Pick the most critical blocker.
- One main action per run. One meaningful step, not a sprint.
- No execution without state read. Always read project_card and recent logs first.
- No successful completion without next_action. Every loop must feed into the next.
Loop Phases
Phase 1: State Read
- Read project_card fully
- Read recent_daily_logs
- Note open_questions from previous runs
- Identify current project phase and milestone
Phase 2: Bottleneck Selection
- Pick the single most critical bottleneck
- If forced_bottleneck provided, use it
- If nothing is blocking, advance the primary goal
Phase 3: Task Input Construction
- Build a focused task_input for the selected agent
- Include: what to do, why it matters, what success looks like
- Exclude: everything else
Phase 4: Execution
- Dispatch task to selected agent
- Wait for execution_summary and findings
Phase 5: Writeback
- Update project_card with project_card_updates
- Write execution_summary + findings to daily log
- Populate next_action for tomorrow's loop
- Set safe_to_proceed = true
Failure Handling
If state is incomplete (missing project_card, no recent logs, unclear objective):
- Stop the run immediately
- Set
safe_to_proceed = false - Request cleanup or missing-state repair
- Do not attempt execution with partial state
State Machine
IDLE → READY → RUNNING → WRITING → DONE
↓
BLOCKED (if state incomplete)
Respect the state machine. Never skip from IDLE to RUNNING.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install daily-loop-runner - After installation, invoke the skill by name or use
/daily-loop-runner - Provide required inputs per the skill's parameter spec and get structured output
What is Daily Loop Runner?
Run one controlled daily project loop for a single active project. Use on: scheduled daily runs, planner-initiated project steps, resuming a project after cl... It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.
How do I install Daily Loop Runner?
Run "/install daily-loop-runner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Daily Loop Runner free?
Yes, Daily Loop Runner is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Daily Loop Runner support?
Daily Loop Runner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Daily Loop Runner?
It is built and maintained by sunbinnju-star (@sunbinnju-star); the current version is v1.0.0.