Agent skill · software engineering · aiskillstore
cicd-intelligent-recovery
Loop 3 of the Three-Loop Integrated Development System. CI/CD automation with intelligent failure recovery, root cause analysis, and comprehensive quality validation. Receives implementation from Loop 2, feeds failure patterns back to Loop 1. Achieves 100% test success through automated repair and theater validation. v2.0.0 with explicit agent SOPs.
Why this skill is useful
Adds executable scripts for automated CI/CD failure recovery and quality validation that are not in public documentation.
What it needs
Requires gh, npx installed locally. Requires github account access. About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
CI/CD Quality & Debugging Loop (Loop 3) 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 Output Guarantees --- Prerequisites Before starting Loop 3, ensure Loop 2 completion: --- 8-Step CI/CD Process Overview --- Step 1: GitHub Hook Integration Objective: Download and process CI/CD pipeline failure reports from GitHub Actions. Agent Coordination: Single orchestrator agent manages data collection. Configure GitHub Hooks Download Failure Reports Parse Failure Data Validation Checkpoint: ✅ Failure data parsed and structured ✅ All required fields present (file, line, testName, errorMessage) --- Step 2: AI-Powered Analysis Objective: Use Gemini large-context analysis + 7 research agents with Byzantine consensus to examine each failure deeply. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/cicd-intelligent-recovery