executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
intelligent-chat-condenser-for-seamless-restartThis 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/decisi…
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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.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
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) |
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".
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:
chat_transcriptsummary_length (default: short, medium, detailed)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"}.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.
Use the frontmatter's name as the positional argument (for this skill, use intelligent-chat-condenser-for-seamless-restart).
Command form:
betterprompt generate intelligent-chat-condenser-for-seamless-restart \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: grok-4-fast.--options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate intelligent-chat-condenser-for-seamless-restart \
--input 'summary_length=short, medium, detailed' \
--input chat_transcript=<value> \
--model grok-4-fast \
--options '{"reasoningEffort":"low"}'