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Agent skill

Reading Retention System

by mohitagw15856 in mohitagw15856/pm-claude-skills

Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle.

MITAuto-check passed

Install Reading Retention System

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill reading-retention-system -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills reading-retention-system --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reading-retention-system .claude/skills/reading-retention-system && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reading-retention-system
GitHub stars
1.4k
Token cost
~1k tokens
SKILL.md length
504 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle.

  • Works in 5 steps: Prime before reading. Hold a question or… → Engage, don't highlight. Argue with the… → Capture selectively, in your words.… → …
  • Asked how do I remember what I read
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: Engage, Capture,… and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reading Retention System is an agent skill from mohitagw15856/pm-claude-skills. Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle. Use when asked how do I remember what I read, I forget books right after finishing, help me retain what I study, or take better reading notes. Produces an active-reading method (questions before, engagement during, retrieval after), a lightweight note format that captures the few ideas worth keeping, a spaced review touch, and how to actually apply what you read — turning passive consumption into…

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked how do I remember what I read
  • I forget books right after finishing
  • Help me retain what I study
  • Take better reading notes

Example prompts

  • “/reading-retention-system”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Prime before reading. Hold a question or purpose ("what am I trying to get from this?") — it turns reading from passive to hunting.
  2. Engage, don't highlight. Argue with the text, connect ideas to what you know, note reactions — active engagement encodes; highlighting…
  3. Capture selectively, in your words. After a chapter/article, note only the few genuinely valuable ideas, rephrased yourself and linked to…
  4. Retrieve from memory. After finishing, recall the key ideas without looking — this retrieval is what cements them, far more than re-reading.
  5. Review lightly and apply. A quick spaced revisit stops the fade; and using an idea in real life is the strongest retention there is.

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reading Retention System loads about 1k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 504 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 504 words, ~1,012 tokens.

Download SKILL.mdSave it as .claude/skills/reading-retention-system/SKILL.md (or your agent's skills folder).
name
reading-retention-system
description
Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle. Use when asked how do I remember what I read, I forget books right after finishing, help me retain what I study, or take better reading notes. Produces an active-reading method (questions before, engagement during, retrieval after), a lightweight note format that captures the few ideas worth keeping, a spaced review touch, and how to actually apply what you read — turning passive consumption into knowledge you keep.

Reading Retention System

Most reading evaporates — you finish a book and a month later couldn't say what it was about. Highlighting feels productive but does almost nothing. Retention comes from active reading: engaging before, during, and after, capturing the few real ideas, and using them. This sets up a lightweight system that turns what you read into knowledge you actually keep and apply.

What This Skill Produces

  • The active-reading method — questions to hold before you start, ways to engage while reading (not passive highlighting), and retrieval after
  • A lightweight note format — capturing only the few ideas worth keeping, in your own words, linked to what you already know
  • The retrieval habit — a quick "what were the key ideas?" from memory after finishing (retrieval, not re-reading, cements it)
  • A spaced review touch — a light revisit so it doesn't fade
  • The application step — how to actually use an idea (the strongest retention of all)

Required Inputs

Ask for these if not provided:

  • What you're reading — books, articles, study material, and for what
  • Your current approach — highlighting, notes, nothing (reveals the passive trap)
  • Your goal — remember for a purpose, apply it, or general learning
  • How much you read — to size the system realistically

Framework: Engage, Capture, Retrieve, Apply

  1. Prime before reading. Hold a question or purpose ("what am I trying to get from this?") — it turns reading from passive to hunting.
  2. Engage, don't highlight. Argue with the text, connect ideas to what you know, note reactions — active engagement encodes; highlighting doesn't.
  3. Capture selectively, in your words. After a chapter/article, note only the few genuinely valuable ideas, rephrased yourself and linked to existing knowledge — not a summary of everything.
  4. Retrieve from memory. After finishing, recall the key ideas without looking — this retrieval is what cements them, far more than re-reading.
  5. Review lightly and apply. A quick spaced revisit stops the fade; and using an idea in real life is the strongest retention there is.
Show full SKILL.md (179 more words)Show less

Output Format

Reading system: [what you read] · for [purpose]

Before: [hold a question/purpose]. During: [engage — react, connect, argue — not passive highlight]. Capture (per chapter/piece): [only the few key ideas, in your words, linked to what you know]. After: [retrieve the key ideas from memory — don't re-read]. Review: [a light spaced revisit]. Apply: [how to actually use one idea].

Quality Checks

  • Includes priming with a question/purpose before reading
  • Replaces passive highlighting with active engagement
  • Captures selectively, in the reader's own words
  • Uses retrieval (from memory) rather than re-reading
  • Adds a light spaced review and an application step

Anti-Patterns

  • Highlight-and-forget as the whole system.
  • Summarizing everything instead of the few key ideas.
  • Copying quotes verbatim instead of rephrasing.
  • Re-reading instead of retrieving from memory.
  • Never applying what's read.

Example Trigger Phrases

  • "I forget books right after I finish them — help me retain more."
  • "How do I actually remember what I read?"
  • "Set up a system for taking notes on what I study."
  • "I highlight everything but retain nothing. Fix my reading."
  • "Help me get more out of the books I read."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/reading-retention-system of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Reading Retention System next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reading Retention System compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reading Retention System this skillmohitagw15856/pm-claude-skills1.4k—~1kAutomated safety check: PassMIT
Mem0 Remembermem0ai/mem067k—~410Automated safety check: PassApache-2.0
Remembergithub/awesome-copilot40k1 repos~1.6kAutomated safety check: PassMIT
Rememberalirezarezvani/claude-skills28k1 repos~784Automated safety check: PassMIT
Summarize Activityalpinejs/alpine32k—~1.6kAutomated safety check: NotesMIT
Culture Retentionsickn33/agentic-awesome-skills47k1 repos~3.8kAutomated safety check: PassMIT

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Questions about Reading Retention System

What does Reading Retention System do?

Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle. Reading Retention System is an agent skill from mohitagw15856/pm-claude-skills. Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle.

When should I use Reading Retention System?

Reading Retention System fits situations like: asked how do I remember what I read; I forget books right after finishing; help me retain what I study; take better reading notes.

How do I install Reading Retention System in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill reading-retention-system -a claude-code`. Or copy the skill folder (skills/reading-retention-system in mohitagw15856/pm-claude-skills) into .claude/skills/reading-retention-system in your project. Claude Code loads it when a task matches its description.

How do I install Reading Retention System in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill reading-retention-system -a codex`. Or copy the skill folder (skills/reading-retention-system in mohitagw15856/pm-claude-skills) into .agents/skills/reading-retention-system in your project. Codex loads it when a task matches its description.

Can I use Reading Retention System in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill reading-retention-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reading-retention-system, .gemini/skills/reading-retention-system, .github/skills/reading-retention-system and .opencode/skills/reading-retention-system in your project.

What does Reading Retention System need to run?

SKILL.md names no scripts, command-line tools or credentials: Reading Retention System is instructions for the agent only.

Does Reading Retention System access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reading Retention System safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reading Retention System use?

Reading Retention System is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reading Retention System use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reading Retention System?

Skills that share tags, products or a category with Reading Retention System: Mem0 Remember (mem0ai/mem0, 67k stars), Remember (github/awesome-copilot, 40k stars), Remember (alirezarezvani/claude-skills, 28k stars) and Summarize Activity (alpinejs/alpine, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reading Retention System?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.