A sophisticated prompt-flow designed to convert overloaded work goals into structured, timed AI-assisted work sessions with clear checkpoints and done-states.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-work-session-planner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-work-session-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI Work Session Planner is a specialized framework within the ecosystem of Openclaw Skills that bridges the gap between vague project goals and actionable execution. It is engineered for professionals who need to maximize short bursts of productivity—typically between 60 and 120 minutes—by integrating AI as a collaborator rather than a distraction.
By systematically analyzing current project states, available inputs, and potential blockers, this skill generates a high-resolution roadmap for deep work. It ensures that users remain in a flow state by pre-defining when to leverage AI for drafting or research and when to reclaim human agency for critical decision-making and quality control.
To utilize the AI Work Session Planner, ensure your environment is configured for Openclaw Skills. You can initialize the planning flow by providing your session parameters directly to your AI agent.
# Example of initiating a session plan via CLI
openclaw-agent run "AI Work Session Planner" --goal "Drafting Q3 Security Audit" --time 90m
No complex installation is required beyond ensuring your agent has access to the prompt-flow definition provided in the SKILL.md file.
The skill organizes session data into a structured output format to ensure clarity and repeatability.
| Section | Contents |
|---|---|
| Session Goal | Goal statement, objective, intended output, and time window. |
| Inputs Check | Ready inputs, missing items, blockers, and active assumptions. |
| Timed Plan | Sequential blocks (Startup, Core, AI, Review, Wrap-up). |
| Checkpoints | Time markers paired with specific decision-making questions. |
| AI Prompts | Contextual prompts for clarifying, generating, and polishing work. |
| Done-State | Minimum vs. Strong finish criteria and fallback plans. |
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