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
precision-proof-and-edit-masterThis prompt instructs the AI to act as a meticulous English proofreader and editor who takes a provided draft, considers its audience, purpose, style preferences, and constraints, and then produces a polished, publication-ready revision. The result includes a brief summary of the draft and editing focus, a list of key issues with illustrative before/after e…
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This prompt instructs the AI to act as a meticulous English proofreader and editor who takes a provided draft, considers its audience, purpose, style preferences, and constraints, and then produces a polished, publication-ready revision. The result includes a brief summary of the draft and editing focus, a list of key issues with illustrative before/after examples, the fully revised draft, and concise notes explaining the rationale behind major edits while preserving the author’s original meaning and voice without adding unsupported content.
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 |
|---|---|---|---|
purpose | Required | What the text should achieve | (none) |
draft_text | Required | The full text to edit | (none) |
constraints | Required | Any specific restrictions or requirements | (none) |
intended_audience | Required | Who the writing is for | (none) |
style_preferences | Optional | Any tone or style preferences | formal, friendly, concise,... |
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:
purposedraft_textconstraintsintended_audiencestyle_preferences (default: formal, friendly, concise,...)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 precision-proof-and-edit-master).
Command form:
betterprompt generate precision-proof-and-edit-master \
[--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 precision-proof-and-edit-master \
--input purpose=<value> \
--input draft_text=<value> \
--input constraints=<value> \
--input intended_audience=<value> \
--input 'style_preferences=formal, friendly, concise,...' \
--model grok-4-fast \
--options '{"reasoningEffort":"low"}'