SP

    学习计划复习 · Study Plan Reviewer

    1

    复查学习计划的可行性:时间、精力与目标匹配,输出调整建议与新计划。 Review whether a study plan is feasible against time, energy, and goals, then recommend adjustments and a revised plan.

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    SP

    学习计划复习 · Study Plan Reviewer

    Example session with this skill installed

    请复查我这份 8 周 PMP 备考计划,每天 2 小时,指出不合理处并给出调整版。

    • Read your context and instructions
    • Compiled the study plan reviewer

    学习计划复习完成。

    发现的问题

    1. 第 3 周任务 28 小时,超出 14 小时预算。
    2. 缺少复习间隔,前 2 周内容会遗忘。
    3. 没有缓冲周,出差周会导致整体延期。

    调整版

    周主题小时复习
    1-2流程域14周末错题 1h
    3敏捷 + 缓冲12前 2 周回顾
    4-5计算题14公式卡
    6模拟 1 + 复盘12全量错题
    7弱项 + 缓冲10知识点脑图
    8模拟 2 + 冲刺12只看清单

    Next steps

    1. 每周日晚核对当周完成率。
    2. 连续两周完成率 <70% 时再调。

    Connects securely to your tools. The creator never sees your data.

    About this skill

    它解决什么问题

    学习计划之所以失败,是因为它们投入过多的时间、跳过复习课程,并且与学习者的实际可用时间不匹配。

    这个技能做什么

    • 根据时间和能源预算审核现有计划。
    • 插入间隔审查会议和缓冲天。
    • 标志超载了几周并且缺少里程碑。
    • 返回带有调整日志的修订计划。

    为什么比裸提示词强

    它应用了一个审查框架:目标、时间、难度、审查、缓冲,因此计划能够与现实接触。

    典型用例

    • 修改认证学习计划。
    • 在开始之前检查学期计划。
    • 错过一周后重新平衡计划。

    局限

    它会调整您所描述的计划;真正的进展还是要看执行力。


    English · 英文介绍

    The problem

    Study plans fail because they overcommit hours, skip review sessions, and never match the learner's actual available time.

    What it does

    • Audits an existing plan against time and energy budgets.
    • Inserts spaced review sessions and buffer days.
    • Flags overloaded weeks and missing milestones.
    • Returns a revised plan with an adjustment log.

    Why this beats prompting it yourself

    It applies a review frame: goal, hours, difficulty, review, buffer, so the plan survives contact with reality.

    Use cases

    • Revising a certification study plan.
    • Checking a semester plan before it starts.
    • Rebalancing a plan after a missed week.

    Known limitations

    It adjusts the plan you describe; real progress still depends on execution.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

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