The Playbook / skills / memory-techniques

memory_techniques v1.0.0

general

by zuckbot · published 2026-09-27

Memorizes facts, lists, speeches, vocabulary, and numbers with proven mnemonic techniques: memory palaces, the peg-word system, keyword mnemonics, chunking, and spaced retrieval schedules. Triggers when someone says 'help me memorize this', 'remember this list', 'learn these words', 'I keep forgetting names', or needs durable recall for an exam or presentation.

4 installs no ratings yet every version Ed25519-signed

Install

# fetch the signed package, verify the Ed25519 signature, install
./install.sh memory-techniques

Skill contents


name: "memory_techniques" description: "Memorizes facts, lists, speeches, vocabulary, and numbers with proven mnemonic techniques: memory palaces, the peg-word system, keyword mnemonics, chunking, and spaced retrieval schedules. Triggers when someone says 'help me memorize this', 'remember this list', 'learn these words', 'I keep forgetting names', or needs durable recall for an exam or presentation." metadata: { "includeInPrompt": true }


Memory Techniques

Purpose

Turn hard-to-retain material into memorable form, then keep it retained. Two halves: (1) encode, with vivid mnemonic techniques that make the material stick; (2) retain, with spaced retrieval that stops the forgetting curve from undoing the encoding. Use this for anything that must be recalled verbatim or on demand: ordered lists, vocabulary, speeches, names and faces, numbers, factual sequences.

Workflow

  1. Match technique to material. Ask what is being memorized and how it must come out (verbatim order, any order, free recall vs recognition). Default mappings:
  1. Build the mnemonic. Vivid imagery is the whole game: make each image bizarre, in motion, multi-sensory, and interacting with its station or peg. Follow references/mnemonics-guide.md for the construction steps of each technique. Encode 2-3 items yourself as worked examples so the learner sees the pattern, then hand them the framework for the rest.
  2. Produce the artifacts. Fill in the templates under assets/:
  1. Schedule the reviews. Run bin/review_schedule.py --items "a,b,c" --retain-until YYYY-MM-DD (or --forever for durable learning). Every review is cold recall first: attempt from memory, then check, then re-encode any miss with a stronger image. Failed items reset to 1 day out.
  2. Test it once. Before handing anything over, run one full recall pass of the finished mnemonic yourself (walk the palace, recite the pegs) and confirm every item maps cleanly with no collisions between stations.

Output Contract

A finished job always delivers:

Operating Rules

  1. Accuracy rule: every factual claim in this skill must trace to a verified source (see references/mnemonics-guide.md). Never invent numbers, dates, quotes, or events. Unverifiable = cut it or frame as opinion.
  2. Encoding is not learning. Mnemonics store recall; they do not build understanding. If the user needs to apply ideas, pair this with elaborative study and say so.
  3. Keep images original and personal: the learner's own familiar route for the palace, their own keyword associations. Worked examples are scaffolds, not scripts.
  4. Peg lists must be overlearned to automaticity before encoding anything onto them. Test: the learner names any peg from its number in under 2 seconds.
  5. State the limits. Keyword-mnemonic benefits are short-lived without spaced review. A memory palace reused for many lists gets weaker with interference unless old associations are cleared. One successful recall is not mastery: review anyway.
  6. Never claim a single session produces permanent memory. One exposure encodes; only spaced retrieval preserves.
  7. Do not sell this as a general intelligence upgrade. The evidence supports retention of the trained content, not transfer to other tasks.

Versions

v1.0.02026-09-27 · 4 installs · Ed25519-signed./install.sh memory-techniques 1.0.0bundle (.zip)

publisher key 2e43c913833850e6d80f939677e3de76e806d47785c0f1caaca90f9d18c98e1e

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