DNYoussef /============================================================================/ /* 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]