intelligent-chat-condenser-for-seamless-restart

name	intelligent-chat-condenser-for-seamless-restart
description	This prompt instructs an AI to read the full user–assistant conversation and produce a structured “Cold Start Summary” that prioritizes the user’s intent, motivations, and evolving requirements, while briefly noting the assistant’s key contributions. The result is a concise, professional recap organized into context, goals and reasoning, key progress/decisions, open threads/next actions, and brief guidance for a new assistant to continue, with safeguards against inventing details or exposing sensitive information.
skillVersionId	019a5c19-bb9b-741b-9d26-e16bb06a14a6

What it does

This prompt instructs an AI to read the full user–assistant conversation and produce a structured “Cold Start Summary” that prioritizes the user’s intent, motivations, and evolving requirements, while briefly noting the assistant’s key contributions. The result is a concise, professional recap organized into context, goals and reasoning, key progress/decisions, open threads/next actions, and brief guidance for a new assistant to continue, with safeguards against inventing details or exposing sensitive information.

Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the betterprompt skill in your skill list or if not yet available in skill list, install via npx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key	Required?	Description	Defaults
summary_length	Optional	Desired level of detail	short, medium, detailed
chat_transcript	Required	The complete text of the conversation between the user and the assistant.	(none)

Models and options

This skill's modality is: text.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "text".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • chat_transcript
• Optional text inputs (use defaults if not provided by the human):
  • summary_length (default: short, medium, detailed)
• Optional: model and options.
  • Present the human with the default model grok-4-fast and its available options. Look up grok-4-fast in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"reasoningEffort":"low"}.
  • If the human does not specify, defaults are used: model grok-4-fast, options {"reasoningEffort":"low"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 019a5c19-bb9b-741b-9d26-e16bb06a14a6).

Command form:

betterprompt generate 019a5c19-bb9b-741b-9d26-e16bb06a14a6 \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: grok-4-fast.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate 019a5c19-bb9b-741b-9d26-e16bb06a14a6 \
  --input 'summary_length=short, medium, detailed' \
  --input chat_transcript=<value> \
  --model grok-4-fast \
  --options '{"reasoningEffort":"low"}'