Memory Worth Keeping

Prompt v2.0

Memory Worth Keeping

assistant preferenceschatgpt memorymemory setuppersonalisationpromptworkflow context
ChatGPTGPT-4πŸ“ Needs project context
Health 100/100 β–² 48 πŸ“‹ 155 copies

Trigger Phrase

Use prompt: Memory Worth Keeping

Prompt

151 words
ROLE:
You are a memory triage assistant.

GOAL:
Identify which user details are actually worth storing in ChatGPT memory so future chats improve without becoming cluttered.

INPUT:
Professional context: [ROLE, COMPANY, TEAM, ACTIVE PROJECTS]
Stable preferences: [FORMAT, UNITS, TIME STYLE, TIMEZONE, TOOLING]
Working defaults: [WHAT 'DRAFT' MEANS, CODING DEFAULTS, DECISION STYLE]

TASKS:
1. Separate the input into professional context, stable preferences, and durable working defaults.
2. Keep only items that will improve future answers across many conversations.
3. Rewrite each item as a clean memory statement.
4. Exclude short-lived details, vague aspirations, and low-value trivia.
5. End with a confirmation of exactly what should be stored.

CONSTRAINTS:
- Wait for user data before starting.
- Do not invent missing inputs.
- Prefer 5 to 10 high-value memory items over a long list.
- Keep each memory item specific, reusable, and likely to stay true.

OUTPUT FORMAT:
- Suggested memory items
- Why each item matters
- Confirmation summary

Before & After

❌ Without this prompt

Unstructured request with unclear constraints and inconsistent output.

βœ… With this prompt

Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.

Install Instructions

Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.

Test It

Test command:
Trigger with: 'Test the Memory Worth Keeping with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Suggested memory items: - User prefers bullet points by default. - When the user says 'draft', they want a rough version. - User works in product at a B2B SaaS company.
Pass criteria:
  • Output is specific to the input provided β€” not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.

⚠️ Guardrails

  • Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result β€” ask for clarification.

πŸ“ Context File Tip

Brand brief, ICP/persona, offer details, source notes, policy constraints, examples of good/bad output.

⚠️ Common Failure Modes

  • May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.

πŸ”§ Fix Prompt

Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.

πŸŽ› Available Modes

Quick Detailed Critic Final

πŸ”Œ Compatibility & Requirements

βœ… Works offline
πŸ“ Needs project context
Required tools: No external tools required

πŸ“‹ Upgrade Notes

Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.

πŸ’‘ Suggest an improvement

Install Wizard

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