← 返回 Skills 市场
harrylabsj

Ai Work Session Planner

作者 haidong · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
65
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install ai-work-session-planner
功能描述
Turns a messy work goal into a focused 60 to 120 minute AI-assisted work session with inputs, checkpoints, and a clear done-state.
使用说明 (SKILL.md)

AI Work Session Planner

Overview

Use this prompt-only skill when a user has a fuzzy or overloaded work goal and wants to turn it into a focused 60 to 120 minute session with AI support.

The skill produces a timed work plan, the inputs needed before starting, checkpoint questions, suggested AI handoffs, and a practical done-state for the session.

When to Use

Use this skill when the user says things like:

  • "I have 90 minutes and need to make progress on this."
  • "Help me turn this messy project into a focused work block."
  • "Plan a work session where AI helps me without distracting me."
  • "I do not know where to start, but I need a concrete next sprint."
  • "Break this goal into a 60 minute plan."
  • "Set checkpoints so I do not drift."

Required Inputs

Ask for only the details needed to build a useful session plan:

  • Main goal or messy task statement
  • Available session length, ideally 60, 75, 90, or 120 minutes
  • Desired output or visible progress by the end
  • Current state of the work
  • Known inputs, links, notes, files, drafts, or decisions needed
  • Constraints such as deadline, energy level, meetings, interruptions, tools, or format
  • Whether the user wants AI help for planning, drafting, reviewing, research synthesis, or decision support
  • Any blockers, unanswered questions, or missing materials

If the user does not know an input, mark it as missing instead of forcing a full answer before planning.

Workflow

  1. Capture the goal. Rewrite the user's messy goal as one short outcome statement and one practical session objective.
  2. List the inputs. Separate available inputs from missing inputs, and identify which missing items are blockers versus nice-to-have context.
  3. Set the session frame. Confirm total time, energy level, environment, and whether the session should optimize for speed, quality, clarity, or momentum.
  4. Split the session. Divide the time into focused blocks such as setup, core work, AI-assisted expansion, review, decision, and wrap-up.
  5. Add checkpoints. Insert short checkpoint prompts at natural moments so the user can inspect progress, adjust scope, or stop drifting.
  6. Define AI roles. State where AI should help and where the user should make the decision, check accuracy, or provide judgment.
  7. Define the done-state. Describe the minimum acceptable finish, a strong finish, and what to defer if time runs out.
  8. Add a fallback plan. If inputs are missing or the session gets interrupted, provide a smaller version that still creates useful progress.

Output Format

Produce the work session plan with these sections:

  1. Session Goal
    • Plain-language goal
    • Session objective
    • Intended output
    • Time available
  2. Inputs Check
    • Inputs ready now
    • Missing inputs
    • Blockers to resolve first
    • Assumptions used for the plan
  3. Timed Plan
    • Start-up block
    • Core work blocks
    • AI-assisted blocks
    • Review block
    • Wrap-up block
  4. Checkpoints
    • Time marker
    • Question to answer
    • Decision or adjustment to make
  5. AI Prompts to Use
    • Prompt for clarifying the task
    • Prompt for generating or structuring work
    • Prompt for review or critique
    • Prompt for final polish, if useful
  6. Done-State
    • Minimum acceptable done
    • Strong done
    • Stop condition
  7. Fallback Plan
    • If key inputs are missing
    • If only half the time remains
    • If energy drops

Safety Boundary

  • Do not pretend missing inputs are available. Flag missing materials, unclear decisions, and unverified assumptions.
  • Do not encourage the user to skip required approvals, confidentiality checks, factual review, or human judgment.
  • Do not ask for passwords, secret keys, private credentials, or sensitive account access.
  • Do not create an overstuffed plan that cannot fit the stated time. Reduce scope when the goal is too large.
  • Keep AI use supportive rather than automatic. Mark where the user must verify facts, make decisions, or review tone.
  • If the task involves legal, medical, financial, employment, or safety-critical decisions, frame AI output as drafting or organization support only and recommend appropriate human review.

Example Prompts

Copy and paste one of these to start:

  1. "I have 90 minutes and need to make progress on my quarterly project review. The draft is half-written but I keep getting distracted. Help me plan a focused work session with checkpoints so I actually finish a clean draft."

  2. "I'm stuck on a messy task — I need to prepare slides for a team update tomorrow. I have notes scattered across three docs. Plan a 60-minute session where AI helps me structure and draft, but I stay in control of the final message."

  3. "I have 120 minutes to make headway on a research synthesis for a client proposal. I've got five articles bookmarked and two pages of notes. Help me set up a session plan with research, drafting, and review blocks so I don't just read all morning."

Install-First Success Path

Input: The user says "I have a messy project and 90 minutes — help me make a focused work plan."

Steps:

  1. The skill captures the goal: rewrites the messy statement as a clear session objective and practical outcome.
  2. Lists available inputs, missing inputs, and flags which missing items are blockers versus nice-to-have context.
  3. Sets the session frame: confirms total time, energy level, and whether the session optimizes for speed, quality, clarity, or momentum.
  4. Splits the session into timed blocks: setup, core work, AI-assisted expansion, review, decision, and wrap-up.
  5. Inserts checkpoint questions at natural moments so the user can inspect progress and adjust scope.
  6. Defines where AI helps and where the user must make decisions, check accuracy, or provide judgment.
  7. Produces the done-state: minimum acceptable finish, strong finish, and what to defer if time runs out.

Output: A timed session plan with goal, inputs check, blocks, checkpoints, AI prompts, done-state, and fallback plan — ready for the user to start the session immediately.

Quality Checklist

A strong result should:

  • Convert a messy goal into a clear session objective
  • Identify available inputs, missing inputs, blockers, and assumptions
  • Fit within a 60 to 120 minute session
  • Include specific time blocks and checkpoint questions
  • Define a realistic minimum done-state and strong done-state
  • Include AI prompts that match the work, not generic productivity advice
  • Provide a fallback plan for missing inputs, interruptions, or low energy
安全使用建议
This skill appears safe to use as a planning prompt. As with any productivity assistant, avoid pasting confidential material unless you are comfortable sharing it with your AI environment, but the skill itself does not ask for credentials or perform external actions.
能力评估
Purpose & Capability
The skill is limited to turning messy work goals into timed AI-assisted work-session plans, which matches the description and included documentation.
Instruction Scope
The instructions are bounded to planning, checkpoints, prompts, and done-states, with explicit safety boundaries against credentials, skipped approvals, and unsupported assumptions.
Install Mechanism
There is no install spec or executable setup; the artifacts describe a document-only, prompt-only skill.
Credentials
The skill does not request binaries, environment variables, API access, network access, files beyond user-provided planning inputs, or elevated local permissions.
Persistence & Privilege
No persistence, background execution, credentials, account access, or privilege escalation is shown in the provided artifacts.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-work-session-planner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-work-session-planner 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- Added "Example Prompts" section with copy-paste starter examples for users. - Added "Install-First Success Path" with a sample use case and step-by-step flow. - No changes to core skill functionality or workflow; documentation improvements only. - Updated checklist remains as before.
v1.0.0
AI Work Session Planner 1.0.0 – Initial release - Launches a prompt-based tool to turn messy work goals into focused 60–120 minute AI-assisted work sessions. - Produces a session plan with timing, input checks, checkpoints, and clear done-states. - Separates available and missing inputs, highlights blockers, and defines AI and user roles. - Includes safety boundaries to ensure realistic work plans and appropriate AI usage. - Offers fallback plans if inputs are missing or sessions are interrupted.
元数据
Slug ai-work-session-planner
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Ai Work Session Planner 是什么?

Turns a messy work goal into a focused 60 to 120 minute AI-assisted work session with inputs, checkpoints, and a clear done-state. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。

如何安装 Ai Work Session Planner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-work-session-planner」即可一键安装,无需额外配置。

Ai Work Session Planner 是免费的吗?

是的,Ai Work Session Planner 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Work Session Planner 支持哪些平台?

Ai Work Session Planner 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Work Session Planner?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.1。

💬 留言讨论