A high-intensity operating system for AI agents that enforces 5-minute execution cycles to produce shippable artifacts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sprint-os
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sprint-os using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Sprint OS?
Sprint OS is a specialized operating discipline designed for AI agents and developers using Openclaw Skills who prioritize execution over planning. It transforms the agent's workflow into a series of continuous 5-minute sprints, where every single cycle must result in a concrete, shippable artifact. By eliminating batching and scope creep, it ensures that project momentum never stalls.
This skill is particularly effective for autonomous agents that need to stay in execution mode while maintaining a transparent record of their progress. It bridges the gap between raw task execution and structured project management by enforcing an 8-step loop that includes assessment, execution, and adaptive logging.
Sprint OS Use Cases
- Rapidly shipping code features or content pieces in high-velocity development environments.
- Maintaining momentum in autonomous agent sessions where task drift is a risk.
- Creating a verifiable audit trail of work using the integrated sprint logging system.
- Managing complex projects by breaking them down into strictly scoped 5-minute deliverables.
How Sprint OS Works
- ASSESS: The agent identifies the gap between the current state and the target outcome by reading the active task list.
- PLAN: A single, high-leverage action is selected based on a strict prioritization hierarchy.
- SCOPE: The agent defines a concrete output that can be completed in exactly 5 minutes.
- EXECUTE: The work is performed with zero scope creep to produce the defined artifact.
- MEASURE: The agent evaluates if the sprint moved the needle on key metrics and logs the result.
- ADAPT: Based on the outcome, the agent decides whether to double down or pivot for the next cycle.
- LOG: Records the sprint data into
sprint-log.mdand optionally syncs with a Convex backend. - NEXT: The agent immediately transitions to the next sprint to maintain maximum momentum.
Sprint OS Setup
To integrate Sprint OS with your current Openclaw Skills setup, ensure the skill files are in your working directory. For optional cloud tracking, configure your Convex environment:
# Set your Convex endpoint for remote logging
export CONVEX_SPRINT_URL="https://your-deployment.convex.site"
# Run the provided CLI script to test logging
./scripts/log-sprint.sh --project "test-project" --workstream "dev" --task "setup" --status "completed"
Sprint OS Data Schema & Taxonomy
Sprint OS maintains a structured log in sprint-log.md using the following metadata taxonomy:
| Attribute | Description |
|---|---|
| Sprint [N] | The sequential ID and timestamp of the execution cycle |
| Project | The specific project name being addressed |
| Workstream | Category of work, such as development, marketing, or research |
| Artifact | A link or description of the specific file produced |
| Metric | The measurable movement or impact of the sprint |
| Status | The outcome state: completed, partial, or blocked |
Sprint OS Advanced Features
- Pivot Triggers: Automatically switches workstreams if three consecutive sprints produce no measurable movement.
- Convex Integration: Syncs sprint history across sessions to enable content deduplication and trend tracking.
- Prioritization Hierarchy: Built-in logic to prioritize fixing broken systems over building new infrastructure.
- Multi-Agent Orchestration: Capability to spawn sub-agents for heavy execution tasks while the main agent maintains the sprint loop.
SKILL.md
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