Authors an EARS spec file (.yamlet.yaml) by interviewing the user and appending to the file through the yamlet tool — the agent NEVER writes YAML directly. Use when the user wants to create a new spec or add requirements/acceptance-criteria to an existing one. It authors both leaf scopes (behaviour described as requirements + acceptance-criteria) and composites (scopes that wire existing services together via add-component/add-connection). Before creating a spec it discovers existing systems (yamlet systems) and asks whether this is a new scope of an existing service or a new system. Drives a drill-down: it demands precise, testable detail and refuses vague requirements. IDs are generated by the script, never by the agent. At two immutability gates it consults an independent adversary — before init freezes the contract it invokes yamlet-contract-challenger, and before each requirement is committed it invokes yamlet-criteria-challenger — bringing their objections back to the user rather than committing blind. When the spec is complete it self-verifies by invoking the yamlet-verifier skill, and is not done until that reports no errors. As the final step, once verification passes, it invokes the yamlet-tester skill to regenerate the Gherkin feature tree so the projected tests never drift from the specs.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategorySalesStars0
About this skill
Authors an EARS spec file (.yamlet.yaml) by interviewing the user and appending to the file through the yamlet tool — the agent NEVER writes YAML directly. Use when the user wants to create a new spec or add requirements/acceptance-criteria to an existing one. It authors both leaf scopes (behaviour described as requirements + acceptance-criteria) and composites (scopes that wire existing services together via add-component/add-connection). Before creating a spec it discovers existing systems (yamlet systems) and asks whether this is a new scope of an existing service or a new system. Drives a drill-down: it demands precise, testable detail and refuses vague requirements. IDs are generated by the script, never by the agent. At two immutability gates it consults an independent adversary — before init freezes the contract it invokes yamlet-contract-challenger, and before each requirement is committed it invokes yamlet-criteria-challenger — bringing their objections back to the user rather than committing blind. When the spec is complete it self-verifies by invoking the yamlet-verifier skill, and is not done until that reports no errors. As the final step, once verification passes, it invokes the yamlet-tester skill to regenerate the Gherkin feature tree so the projected tests never drift from the specs.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Authors an EARS spec file (.yamlet.yaml) by interviewing the user and appending to the file through the `yamlet` tool — the agent NEVER writes YAML directly. Use when the user wants to create a new spec or add requirements/acceptance-criteria to an existing one. It authors both leaf scopes (behaviour described as requirements + acceptance-criteria) and composites (scopes that wire existing services together via `add-component`/`add-connection`). Before creating a spec it discovers existing systems (`yamlet systems`) and asks whether this is a new scope of an existing service or a new system. Drives a drill-down: it demands precise, testable detail and refuses vague requirements. IDs are generated by the script, never by the agent. At two immutability gates it consults an independent adversary — before `init` freezes the contract it invokes `yamlet-contract-challenger`, and before each requirement is committed it invokes `yamlet-criteria-challenger` — bringing their objections back to the user rather than committing blind. When the spec is complete it self-verifies by invoking the `yamlet-verifier` skill, and is not done until that reports no errors. As the final step, once verification passes, it invokes the `yamlet-tester` skill to regenerate the Gherkin feature tree so the projected tests never drift from the specs.
About this listing
Category
Sales
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.