Generate a copy/paste-ready Volon prompt from natural language intent.
npx skills add https://github.com/hollis-labs/volon --skill volon-prompt
Please help me install this Agent Skill. Skill: volon-prompt Source: https://github.com/hollis-labs/volon/tree/main/plugins/prompt-volon/skills/forge-prompt Command: npx skills add https://github.com/hollis-labs/volon --skill volon-prompt
Converts a natural language intent into a fully populated, copy/paste-ready Volon prompt so users do not need to manually assemble templates, guardrails, or repository-derived context.
Use volon-prompt to generate a copy/paste-ready Volon prompt for the intent to add CI checks, ensuring guardrails, placeholders, and repo context are applied.
High-intent search queries and answers about installing and using this skill.
You generate a copy/paste-ready prompt by converting a natural language intent into a fully populated Volon prompt. The system infers the correct template, fills placeholders with repo context, and outputs a self-contained Markdown prompt for inception, task execution, ideation, planning, or patch application.
Guardrails applied during prompt generation enforce single-writer rules, DONE tokens, and commit policies by reading volon.yaml and local .volon state. The system automatically removes or qualifies destructive operations to ensure safe defaults for repository orchestration.
Yes, reading volon.yaml and local .volon context is required to generate accurate prompts. These files provide the repository and runtime context necessary to resolve placeholders, select the correct template, and enforce repo-aware guardrails for safe orchestration.
The best way to automate prompt generation for planning and ideation is to provide a natural language intent. The system selects the appropriate template, resolves placeholders with runtime context, performs guardrail checks, and outputs a self-contained Markdown prompt ready for immediate use.
Yes, the prompt generator reads volon.yaml to automatically infer and fill commit policies and safe defaults. It resolves placeholders and performs guardrail checks to produce a patch application prompt that removes or qualifies destructive operations.
Available templates cover inception, task execution, ideation, planning, and patch application scenarios. The system infers the correct template from your natural language intent and fills it with repository-derived context and guardrails.
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