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ralph-multimodel

@DNYoussef/context-cascade
8
0

Extend RALPH loops across multiple models, coordinating roles, evidence, and confidence ceilings per model.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name ralph-multimodel
description Extend RALPH loops across multiple models, coordinating roles, evidence, and confidence ceilings per model.
allowed-tools Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model sonnet
x-version 3.2.0
x-category orchestration
x-vcl-compliance v3.2.0
x-cognitive-frames HON, MOR, COM, CLS, EVD, ASP, SPC

STANDARD OPERATING PROCEDURE

Purpose

Run multi-model RALPH flows that leverage specialized agents for reasoning, alignment, learning, planning, and handoff with controlled synthesis.

Trigger Conditions

  • Positive: problems needing diverse model strengths, cross-model validation, parallel evidence gathering, and adjudicated synthesis.
  • Negative: single-model work, prompt-only edits (route to prompt-architect), or new skill creation (route to skill-forge).

Guardrails

  • Skill-Forge structure-first: keep SKILL.md, examples/, tests/ current; add resources//references/ or note gaps.
  • Prompt-Architect hygiene: capture HARD/SOFT/INFERRED constraints per model/phase, avoid VCL leakage, and publish ceilings for confidence.
  • Multi-model safety: assign roles, enforce registry usage, prevent uncontrolled self-calls, and keep hook latency within budget.
  • Adversarial validation: run cross-model disagreement checks, COV per synthesis, and boundary tests; document evidence.
  • MCP tagging: store runs with WHO=ralph-multimodel-{session} and WHY=skill-execution.

Execution Playbook

  1. Intent & roster: define objective, select models/roles, and confirm constraints.
  2. Phase wiring: map RALPH phases to models, timeboxes, and success metrics.
  3. Deliberation: gather model outputs, run challenges, and update shared evidence.
  4. Synthesis: reconcile disagreements, choose outputs, and plan handoff with rollback paths.
  5. Validation loop: stress-test synthesis, measure performance, and log telemetry.
  6. Delivery: share decisions, evidence, risks, and confidence ceiling.

Output Format

  • Objective, constraints, and model roster with roles.
  • Phase summaries, evidence, and dissent.
  • Handoff/rollback plan and risk register.
  • Confidence: X.XX (ceiling: TYPE Y.YY) - rationale.

Validation Checklist

  • Structure-first assets present or ticketed; examples/tests reflect multi-model paths.
  • Role boundaries enforced; registry-only agents used; hook budgets verified; rollback ready.
  • Adversarial/COV runs logged with MCP tags; confidence ceiling stated; English-only output.

Completion Definition

Flow is complete when synthesis is chosen with evidence, handoff executes, risks are owned, and logs persist in MCP with session tags.

Confidence: 0.70 (ceiling: inference 0.70) - Multi-model RALPH doc aligned to skill-forge scaffolding and prompt-architect evidence/confidence discipline.