ralph-specum-prototype

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This skill should be used only when the user explicitly invokes `$ralph-specum-prototype`, or explicitly asks Ralph Specum in Codex to run, resume, quick-run, or cancel an optional prototype.

AI & Automation 536 stars 48 forks Updated yesterday MIT

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Quality Score: 94/100

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Description 5%
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Skill Content

# Ralph Specum Prototype Coordinate one optional prototype overlay. Delegate source work to a child agent and keep the main Ralph phase unchanged until the recorded handoff. ## Load the contract Derive `RALPH_CODEX_PLUGIN_ROOT` from this loaded skill: take the directory containing `SKILL.md`, then its parent `skills` directory, then the next parent. Never derive the plugin root from the project working directory. Read `../../references/prototype-coordinator.md` from this skill directory completely before any prototype mutation. Treat it as the source of truth for direct, suggested, resume, quick, cancel, isolation, review, publication, and handoff behavior. ## Route the request 1. Resolve an explicit path, exact spec name, or `.current-spec` with `"$RALPH_CODEX_PLUGIN_ROOT/scripts/resolve_spec_paths.py"`. Use only the returned `basePath`, `specRoot`, settings, and warnings. 2. Parse one mode: direct by default, suggested with a return phase, resume by ID, quick, or cancel by ID. 3. Reconcile candidate and final records before reserving, resuming, reviewing, or publishing. 4. Use only these mechanics: - `"$RALPH_CODEX_PLUGIN_ROOT/scripts/locked_state.py"` for `activePrototypes` and every state mutation - `"$RALPH_CODEX_PLUGIN_ROOT/scripts/prototype_records.py"` for exact candidate bytes, review receipts, immutable publication, reconciliation, and downstream selection - `"$RALPH_CODEX_PLUGIN_ROOT/scripts/prototype_harness.py"` for deterministic control outcomes a...

Details

Author
tzachbon
Repository
tzachbon/smart-ralph
Created
8 months ago
Last Updated
yesterday
Language
Shell
License
MIT

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