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Reading Retention Booster

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
37
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install reading-retention-booster
功能描述
Improves retention with recall prompts, spaced review, teaching checks, and personal retrieval cues.
使用说明 (SKILL.md)

Reading Retention Booster

Overview

Improves retention with recall prompts, spaced review, teaching checks, and personal retrieval cues.

This skill belongs to the Knowledge Capture & Retention category and has priority P0.

When to Use

Use this skill when the user asks to:

  • remember what I read
  • reading retention
  • recall prompts
  • spaced review
  • forgetting books

Trigger keywords: remember what I read, reading retention, recall prompts, spaced review, forgetting books

Required Inputs

  • book or material
  • key notes or takeaways
  • retention goal
  • review schedule constraints

Workflow

  1. Clarify what the user wants to remember and why.
  2. Convert notes into active recall questions.
  3. Schedule lightweight reviews around the user's constraints.
  4. Add teach-back and application prompts for deeper memory.
  5. Define a progress check and update loop.

Output Format

The output includes:

  1. Recall questions
  2. Spaced review plan
  3. Teach-back prompts
  4. Retrieval cues
  5. Progress checks

Safety & Compliance

  • Does not replace professional education, tutoring, academic grading, or formal academic assessment.
  • Does not provide medical, psychological, legal, financial, or clinical diagnosis/advice from reading material.
  • Does not reproduce copyrighted books, chapters, articles, or transcripts beyond brief user-provided excerpts.
  • Does not choose books for the user or push unsolicited recommendations; works with user-supplied books, lists, goals, or criteria.
  • Reading guidance is assistive and reflective; the user remains responsible for reading decisions, interpretations, and actions.

Additional safety notes:

  • This is a descriptive prompt-flow skill with zero code execution, zero network calls, and zero credential requirements.
  • Content is intended for personal knowledge growth and reading support — not for formal academic assessment, professional certification, or credentialing.
  • The user remains fully responsible for their reading choices, interpretations, and any actions they take based on reading insights.

Acceptance Criteria

  1. Creates recall questions from user-provided material.
  2. Includes a practical spaced-review cadence.
  3. Uses teach-back or application checks.
  4. Avoids claiming guaranteed memory improvement.
  5. Keeps the plan lightweight enough to sustain.

Examples

Example 1: Basic Use

User says: "I need help with remember what I read."

Skill guides: Collect required inputs. Follow the workflow steps. Deliver output in the specified format.

Example 2: Detailed Session

User says: "I've been reading [material] and I want to reading retention."

Skill guides: Dive deeper with additional context provided by the user. Apply all workflow steps with detailed reasoning.

安全使用建议
This skill appears safe to install as a prompt-only reading aid. As with any reading-support tool, avoid pasting copyrighted material beyond brief excerpts or private notes you do not want processed by your agent.
功能分析
Type: OpenClaw Skill Name: reading-retention-booster Version: 1.0.0 The 'Reading Retention Booster' is a document-only prompt-flow skill designed to assist users with study techniques like active recall and spaced repetition. The skill bundle contains no executable code, scripts, or network configurations, and explicitly declares 'no_code_execution' and 'no_network' in skill.json. The instructions in SKILL.md are strictly aligned with the stated educational purpose and do not contain any prompt-injection attempts or malicious directives.
能力评估
Purpose & Capability
The skill purpose is coherent and limited to helping users create recall questions, spaced review plans, teach-back prompts, retrieval cues, and progress checks from user-provided reading material.
Instruction Scope
The workflow stays within user-directed reading support and includes appropriate boundaries against professional advice, formal assessment, guaranteed memory improvement, and excessive copyrighted reproduction.
Install Mechanism
There is no install spec, no executable component, and the metadata declares document-only behavior with no code execution.
Credentials
The requirements list no binaries, environment variables, credentials, APIs, network access, or config paths, which is proportionate for a prompt-only study aid.
Persistence & Privilege
The artifacts do not show persistent storage, background behavior, account access, or privileged operations; the review schedule appears to be an output plan rather than an automatic scheduler.
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 reading-retention-booster
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /reading-retention-booster 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
v1.0.0
Initial release of Reading Retention Booster. - Helps users remember reading material using recall prompts, spaced reviews, and teach-back/application checks. - Offers a step-by-step workflow: clarifies goals, converts notes to recall questions, and creates a review plan. - Outputs include recall questions, review schedules, teach-back prompts, retrieval cues, and progress checks. - Designed for personal learning support; avoids academic grading and formal assessments. - Works with user-supplied reading material, notes, goals, and schedules.
元数据
Slug reading-retention-booster
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Reading Retention Booster 是什么?

Improves retention with recall prompts, spaced review, teaching checks, and personal retrieval cues. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Reading Retention Booster?

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

Reading Retention Booster 是免费的吗?

是的,Reading Retention Booster 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Reading Retention Booster 支持哪些平台?

Reading Retention Booster 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 Reading Retention Booster?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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