Define machine-actionable Ralph specs with INVESTIGATE, BUILD, VERIFY, and DECOMPOSE stages.
npx skills add https://github.com/djmittens/neo-mittens --skill ralph-spec
Please help me install this Agent Skill. Skill: ralph-spec Source: https://github.com/djmittens/neo-mittens/tree/main/.opencode/skills/ralph-spec Command: npx skills add https://github.com/djmittens/neo-mittens --skill ralph-spec
Ralph specs enable autonomous task execution by translating requirements into machine-actionable instructions that Construct mode can execute end-to-end.
This guide ensures specs are unambiguous, verifiable, and decomposable into INVESTIGATE, BUILD, VERIFY, and DECOMPOSE stages, reducing handoff delays and rework.
Place a new spec at ralph/specs/<spec-name>.md and run Ralph construct <spec-name> to begin autonomous implementation.
High-intent search queries and answers about installing and using this skill.
You define machine-actionable requirements by creating structured Ralph specs with mandatory Overview, Requirements, and Acceptance Criteria sections that Construct mode can autonomously implement end-to-end.
Acceptance criteria for automated build verification must be concrete and map directly to automated tasks, ensuring specs are verifiable and decomposable into INVESTIGATE, BUILD, VERIFY, and DECOMPOSE iterations.
The best way to prevent circular dependencies is using Ralph specs that provide explicit guidance for edge cases, dependency management, and phased implementation to reduce handoff delays and rework.
To start autonomous implementation, place a new spec at ralph/specs/<spec-name>.md and run Ralph construct <spec-name> to trigger automated execution of the defined requirements.
You need to decompose requirements into these stages when features require unambiguous requirements, verifiable acceptance criteria, and clearly scoped iterations for autonomous task execution.
Yes, Ralph specs satisfy rigorous requirements and provide robust guidance for verification and error handling, ensuring autonomous execution handles edge cases without manual intervention.
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