Replace hard-coded branching with prompt-driven decision orchestration in mlld pipelines.
npx skills add https://github.com/mlld-lang/mlld --skill mlld-llm-first
Please help me install this Agent Skill. Skill: mlld:llm-first Source: https://github.com/mlld-lang/mlld/tree/main/plugins/mlld/skills/llm-first Command: npx skills add https://github.com/mlld-lang/mlld --skill mlld-llm-first
LLM-first design principles address the problem of brittle, hard-coded orchestration by shifting decision-making from code into prompts, enabling adaptive and auditable pipelines.
Describe how to apply LLM-first design to mlld pipelines to replace hard-coded decisions with prompt-driven guidance.
High-intent search queries and answers about installing and using this skill.
Prompt-driven orchestration shifts rigid decision logic from hard-coded branches into LLM prompts, enabling adaptive and auditable pipelines. This approach uses guidance to determine actions based on context, reducing code complexity.
To replace hard-coded branching in mlld pipelines, externalize strategy into reusable decision templates and iterative loops. This applies LLM-first design principles to determine actions based on context without embedding logic.
Yes, LLM-first orchestration promotes consistent state representation and phase transitions through clear context management. This externalizes logic to prompts, ensuring state is managed without embedding hard-coded rules.
The best way to handle diverse edge cases is using reusable decision templates with safe guardrails. This externalizes strategy to prompts, supporting iterative loops while avoiding rigid, hard-coded decision logic.
Yes, LLM-first orchestration specifies requirements for prompts, context conventions, and decision schemas. These schemas ensure safe guardrails and structured actions, replacing hard-coded branching with prompt-driven guidance.
You should not use prompt-driven orchestration when workflows require deterministic execution without context evaluation. This approach shifts decision-making into prompts, which introduces non-determinism unsuitable for rigid, hard-coded paths.
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