Provide structured GPT-5 prompting guidelines for OpenPromo agent tasks and safety.
npx skills add https://github.com/promobase/openpromo --skill prompting-promobase
Please help me install this Agent Skill. Skill: prompting Source: https://github.com/promobase/openpromo/tree/main/.claude/skills/prompting Command: npx skills add https://github.com/promobase/openpromo --skill prompting-promobase
GPT-5 prompting best practices for creating AI agent prompts in OpenPromo codebase when using ai sdk or agents, or in general writing llm prompts.
Apply these prompting guidelines to craft precise, structured prompts for AI agents in OpenPromo.
High-intent search queries and answers about installing and using this skill.
Effective LLM prompts use structured best practices that define clear roles, tasks, contexts, and rules. This approach improves AI agent reliability for instruction following, data extraction, and decision-making.
GPT-5 prompts in OpenPromo should enforce a frontmatter with name and description fields. This structured format supports optional resources like scripts, references, and assets for future extension.
Add safety constraints to AI agent prompts by applying contextual injection patterns and risk mitigation rules. These guardrails help agents make safe decisions within defined boundaries.
Yes, this guide supports AI SDK usage and general LLM prompt writing. It provides patterns for contextual injection, constraints, and task templates applicable across various agent workflows.
AI agents fail to follow instructions when prompts lack structured roles, clear contexts, and explicit rules. Applying best-practice prompting patterns with defined constraints resolves these reliability issues.
OpenPromo prompting supports optional resources including scripts, references, and assets. These extensions allow you to enhance base prompts with additional context for future agent tasks.
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