Context Cascade - Nested Plugin Architecture for Claude Code Official Claude Code Plugin | Version 3.1.0 | Last updated: 2026-01-09 (see docs/COMPONENT-COUNTS.json for source counts) Context-saving nested architecture: Playbooks -> Skills -> Agents -> Commands. Load only what you need, saving 90%+ context space.
Resources
5Install
npx skillscat add dnyoussef/context-cascade/skills-operations-github-workflow-automation Install via the SkillsCat registry.
/============================================================================/
/* 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 /
/----------------------------------------------------------------------------*/
GitHub Workflow Automation Skill
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Overview
This skill provides comprehensive GitHub Actions automation with AI swarm coordination. It integrates intelligent CI/CD pipelines, workflow orchestration, and repository management to create self-organizing, adaptive GitHub workflows.
Quick Start
💡 Basic Usage - Click to expand
Initialize GitHub Workflow Automation
# Start with a simple workflow
npx ruv-swarm actions generate-workflow \
--analyze-codebase \
--detect-languages \
--create-optimal-pipelineCommon Commands
# Optimize existing workflow
npx ruv-swarm actions optimize \
--workflow ".github/workflows/ci.yml" \
--suggest-parallelization
# Analyze failed runs
gh run view <run-id> --json jobs,conclusion | \
npx ruv-swarm actions analyze-failure \
--suggest-fixesCore Capabilities
🤖 Swarm-Powered GitHub Modes
Available GitHub Integration Modes
1. gh-coordinator
GitHub workflow orchestration and coordination
- Coordination Mode: Hierarchical
- Max Parallel Operations: 10
- Batch Optimized: Yes
- Best For: Complex GitHub workflows, multi-repo coordination
# Usage example
npx claude-flow@alpha github gh-coordinator \
"Coordinate multi-repo release across 5 repositories"2. pr-manager
Pull request management and review coordination
- Review Mode: Automated
- Multi-reviewer: Yes
- Conflict Resolution: Intelligent
# Create PR with automated review
gh pr create --title "Feature: New capability" \
--body "Automated PR with swarm review" | \
npx ruv-swarm actions pr-validate \
--spawn-agents "linter,tester,security,docs"3. issue-tracker
Issue management and project coordination
- Issue Workflow: Automated
- Label Management: Smart
- Progress Tracking: Real-time
# Create coordinated issue workflow
npx claude-flow@alpha github issue-tracker \
"Manage sprint issues with automated tracking"4. release-manager
Release coordination and deployment
- Release Pipeline: Automated
- Versioning: Semantic
- Deployment: Multi-stage
# Automated release management
npx claude-flow@alpha github release-manager \
"Create v2.0.0 release with changelog and deployment"5. repo-architect
Repository structure and organization
- Structure Optimization: Yes
- Multi-repo Support: Yes
- Template Management: Advanced
# Optimize repository structure
npx claude-flow@alpha github repo-architect \
"Restructure monorepo with optimal organization"6. code-reviewer
Automated code review and quality assurance
- Review Quality: Deep
- Security Analysis: Yes
- Performance Check: Automated
# Automated code review
gh pr view 123 --json files | \
npx ruv-swarm actions pr-validate \
--deep-review \
--security-scan7. ci-orchestrator
CI/CD pipeline coordination
- Pipeline Management: Advanced
- Test Coordination: Parallel
- Deployment: Automated
# Orchestrate CI/CD pipeline
npx claude-flow@alpha github ci-orchestrator \
"Setup parallel test execution with smart caching"8. security-guardian
Security and compliance management
- Security Scan: Automated
- Compliance Check: Continuous
- Vulnerability Management: Proactive
# Security audit
npx ruv-swarm actions security \
--deep-scan \
--compliance-check \
--create-issues🔧 Workflow Templates
Production-Ready GitHub Actions Templates
1. Intelligent CI with Swarms
# .github/workflows/swarm-ci.yml
name: Intelligent CI with Swarms
on: [push, pull_request]
jobs:
swarm-analysis:
runs-on: ubuntu-latest
steps:
- uses: actions/checkou
/*----------------------------------------------------------------------------*/
/* 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] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]