DNYoussef /============================================================================/ /* META-LOOP-ORCHESTRATOR SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/
name: meta-loop-orchestrator version: 1.0.0 description: | [assert|neutral] Orchestrates the recursive self-improvement meta loop by coordinating foundry skills (agent-creator, skill-forge, prompt-forge) with Ralph Wiggum persistence loops. Use when running recursive improvem [ground:given] [conf:0.95] [state:confirmed] category: orchestration tags:
- orchestration
- meta-loop
- recursive-improvement
- foundry
- ralph-wiggum author: Context Cascade cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute meta-loop-orchestrator workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic orchestration processes"
/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/
[define|neutral] SKILL := { name: "meta-loop-orchestrator", category: "orchestration", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/
[define|neutral] COGNITIVE_FRAME := { frame: "Aspectual", source: "Russian", force: "Complete or ongoing?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/
[define|neutral] TRIGGER_POSITIVE := { keywords: ["meta-loop-orchestrator", "orchestration", "workflow"], context: "user needs meta-loop-orchestrator capability" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/
Meta Loop Orchestrator
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Orchestrates the recursive self-improvement pipeline by coordinating foundry skills with Ralph Wiggum persistence loops. This skill enables bounded self-improvement where skills, agents, and prompts can improve themselves while being gated by frozen eval harness validation.
SKILL-SPECIFIC GUIDANCE
When to Use This Skill
- Recursive improvement of foundry skills (agent-creator, skill-forge, prompt-forge)
- Self-improvement cycles on the plugin's own components
- Coordinating multiple foundry skills in a pipeline
- Running auditor validation on foundry outputs
- Executing eval harness gated improvement cycles
When NOT to Use This Skill
- One-time skill/agent creation (use individual foundry skills directly)
- Tasks not involving self-improvement of plugin components
- Non-foundry skills (use cascade-orchestrator instead)
- Quick fixes without full validation cycle
Success Criteria
- [assert|neutral] All nested Ralph loops complete within max iterations [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] All 4 auditors pass validation [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] Eval harness shows improvement >= 0% (no regression) [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] Changes committed and monitoring initiated [ground:acceptance-criteria] [conf:0.90] [state:provisional]
Edge Cases
- If nested Ralph loop hits max iterations: Escalate to human
- If auditor fails repeatedly: Route back to foundry skill
- If eval harness regression detected: REJECT and rollback
Critical Guardrails
NEVER:
- Modify eval harness code (FROZEN)
- Skip auditor validation
- Commit without eval harness pass
- Disable monitoring phase
- Bypass human gates for large changes (>500 lines)
ALWAYS:
- Run all 4 auditors in parallel
- Store all intermediate states in memory-mcp
- Maintain rollback capability
- Log all iterations for debugging
Core Architecture
META-LOOP ORCHESTRATION FLOW
============================
INPUT: Task + Target + Foundry Skill
|
v
+---------------+
| PREPARE |
| - Parse |
| - Load exp |
| - Select |
+---------------+
|
v
+=======================+
| EXECUTE (Ralph #1) |
| Foundry skill runs |
| until proposal ready|
+=======================+
|
v
+=======================+
| IMPLEMENT (Ralph #2) |
| Apply changes to |
| target file(s) |
+=======================+
|
v
+-------+-------+-------+-------+
| | | | |
v v v v v
[R#3] [R#4] [R#5] [R#6] <- Parallel Ralph Loops
Prompt Skill Expert Output
Audit Audit Audit Audit
| | | |
+-------+-------+-------+
|
v
+=======================+
| EVAL (Ralph #7) |
| Run eval harness |
| Fix until pass |
+=======================+
|
v
+---------------+
| COMPARE |
| baseline vs |
| candidate |
+---------------+
|
+-------+-------+
| |
v v
ACCEPT REJECT
| |
v v
COMMIT LOG FAILURE
| (retry)
v
+=======================+
| MONITOR (Ralph #8) |
| 7-day watch |
+=======================+
|
v
COMPLETE
Phase Definitions
Phase 1: PREPARE
prepare:
actions:
- Parse task and target from input
- Detect domain from target
/*----------------------------------------------------------------------------*/
/* S4 SUCCESS CRITERIA */
/*----------------------------------------------------------------------------*/
[define|neutral] SUCCESS_CRITERIA := {
primary: "Skill execution completes successfully",
quality: "Output meets quality thresholds",
verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S5 MCP INTEGRATION */
/*----------------------------------------------------------------------------*/
[define|neutral] MCP_INTEGRATION := {
memory_mcp: "Store execution results and patterns",
tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S6 MEMORY NAMESPACE */
/*----------------------------------------------------------------------------*/
[define|neutral] MEMORY_NAMESPACE := {
pattern: "skills/orchestration/meta-loop-orchestrator/{project}/{timestamp}",
store: ["executions", "decisions", "patterns"],
retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]
[define|neutral] MEMORY_TAGGING := {
WHO: "meta-loop-orchestrator-{session_id}",
WHEN: "ISO8601_timestamp",
PROJECT: "{project_name}",
WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S7 SKILL COMPLETION VERIFICATION */
/*----------------------------------------------------------------------------*/
[direct|emphatic] COMPLETION_CHECKLIST := {
agent_spawning: "Spawn agents via Task()",
registry_validation: "Use registry agents only",
todowrite_called: "Track progress with TodoWrite",
work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* S8 ABSOLUTE RULES */
/*----------------------------------------------------------------------------*/
[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]
[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]
[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]
/*----------------------------------------------------------------------------*/
/* PROMISE */
/*----------------------------------------------------------------------------*/
[commit|confident] <promise>META_LOOP_ORCHESTRATOR_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]