Produce parseable YAML without conversational filler or Markdown wrappers.
npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill out-yaml
Please help me install this Agent Skill. Skill: out-yaml Source: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/tree/main/out-yaml Command: npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill out-yaml
This Skill prevents the agent from adding conversational text or Markdown wrappers, which can break downstream systems that expect raw YAML.
Use out-yaml to generate raw YAML configuration for the attached task and require the response to be valid YAML with no additional text.
High-intent search queries and answers about installing and using this skill.
Generating raw YAML configuration without filler requires removing all conversational text and Markdown wrappers from the output. This ensures strict parsers in automation pipelines receive clean, valid YAML without preambles or code fences that cause failures.
Your YAML parser fails on model output because it often includes Markdown wrappers and conversational filler. Strict parsers expect zero extra characters outside the YAML structure, so preambles or code fences will break the parsing process in infrastructure as code scenarios.
Yes, you can use this to output valid Kubernetes manifests directly. It formats parser-friendly YAML by applying correct indentation and eliminating stray characters, ensuring the output is consumed directly by strict Kubernetes parsers without intermediate formatting steps.
The best way to ensure Ansible inline specs are parseable is to enforce strict YAML-only output. By requiring the response to contain valid YAML with no additional text, you prevent incorrect indentation and non-YAML comment styles from breaking downstream automation systems.
Yes, this approach removes Markdown code fences from serialization output. It eliminates all conversational text and wrappers, guaranteeing the response contains only valid YAML with zero extra characters outside the structure for direct consumption by strict parsers.
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