/============================================================================/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/

name: SKILL version: 1.0.0 description: | [assert|neutral] SKILL skill for operations workflows [ground:given] [conf:0.95] [state:confirmed] category: operations tags:

• general author: system cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic operations processes"

/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/

[define|neutral] SKILL := { name: "SKILL", category: "operations", 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: ["SKILL", "operations", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/

CI/CD Quality & Debugging Loop (Loop 3)

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

Purpose: Continuous integration with automated failure recovery and authentic quality validation.

SOP Workflow: Specification → Research → Planning → Execution → Knowledge

Output: 100% test success rate with authentic quality improvements and failure pattern analysis

Integration: This is Loop 3 of 3. Receives from parallel-swarm-implementation (Loop 2), feeds failure data back to research-driven-planning (Loop 1).

Version: 2.0.0 Optimization: Evidence-based prompting with explicit agent SOPs

When to Use This Skill

Activate this skill when:

• Have complete implementation from Loop 2 (parallel-swarm-implementation)
• Need CI/CD pipeline automation with intelligent recovery
• Require root cause analysis for test failures
• Want automated repair with connascence-aware fixes
• Need validation of authentic quality (no theater)
• Generating failure patterns for Loop 1 feedback

DO NOT use this skill for:

• Initial development (use Loop 2 first)
• Manual debugging without CI/CD integration
• Quality checks during development (use Loop 2 theater detection)

Input/Output Contracts

Input Requirements

input:
  loop2_delivery_package:
    location: .claude/.artifacts/loop2-delivery-package.json
    schema:
      implementation: object (complete codebase)
      tests: object (test suite)
      theater_baseline: object (theater metrics from Loop 2)
      integration_points: array[string]
    validation:
      - Must exist and be valid JSON
      - Must include theater_baseline for differential analysis

  ci_cd_failures:
    source: GitHub Actions workflow runs
    format: JSON array of failure objects
    required_fields: [file, line, column, testName, errorMessage, runId]

  github_credentials:
    required: gh CLI authenticated
    check: gh auth status

Output Guarantees

output:
  test_success_rate: 100% (guaranteed)

  quality_validation:
    theater_audit: PASSED (no false improvements)
    sandbox_validation: 100% test pass
    differential_analysis: improvement metrics

  failure_patterns:
    location: .claude/.artifacts/loop3-failure-patterns.json
    feeds_to: Loop 1 (next iteration)
    schema:
      patterns: array[failure_pattern]
      recommendations: object (planning/architecture/testing)

  delivery_package:
    location: .claude/.artifacts/loop3-delivery-package.json
    contains:
      - quality metrics (test success, failures fixed)
      - analysis data (root causes, connascence context)
      - validation results (theater, sandbox, differential)
      - feedback for Loop 1

Prerequisites

Before starting Loop 3, ensure Loop 2 completion:

# Verify Loop 2 delivery package exists
test -f .claude/.artifacts/loop2-delivery-package.json && echo "✅ Ready" || echo "❌ Run parallel-swarm-implementation first"

# Load implementation data
npx claude-flow@alpha memory query "loop2_complete" --namespace "integration/loop2-to-loop3"

# Verify GitHub CLI authenticated
gh auth status || gh auth login

8-Step CI/CD Process Overview

Step 1: GitHub Hook Integration (Download CI/CD failure reports)
        ↓
Step 2: AI-Powered Analysis (Gemini + 7-agent synthesis with Byzantine consensus)
        ↓
Step 3: Root Cause Detection (Graph analysis + Raft consensus)
        ↓
Step 4: Intelligent Fixes (Program-of-thought: Plan → Execute → Validate → Approve)
        ↓
Step 5: Theater Detection Audit (6-agent Byzantine consensus validation)
        ↓
Step 6: Sandbox Validation (Isolated production-like testing)
        ↓
Step 7: Differential Analysis (Compare to baseline with metrics)
        ↓
Step 8: GitHub Feedback (Automated reporting and loop closure)

Step 1: GitHub Hook Integration

Objective: Download and process CI/CD pipeline failure reports from GitHub Actions.

**Agent Coordi

/----------------------------------------------------------------------------/ /* 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/operations/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{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] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]