great_cto

Orchestrates a multi-agent SDLC pipeline from feature request to deployment.

Updated Aug 12, 2026
One-click install
npx skills add https://github.com/Barbaros911/As-mine --skill great-cto-barbaros911
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: great_cto
Source: https://github.com/Barbaros911/As-mine/tree/main/.claude/skills/great_cto
Command: npx skills add https://github.com/Barbaros911/As-mine --skill great-cto-barbaros911

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Coordinating architecture, planning, implementation, QA, security review, and deployment across a software project requires constant manual orchestration. This Skill automates the full software development lifecycle by routing CTO requests to the right specialist agents and enforcing approval gates. ## Core Features & Use Cases - Agent Orchestration: Dispatches 50+ specialist subagents (architect, senior-dev, qa-engineer, security-officer, devops, and domain reviewers) based on file patterns and request topics. - Archetype-Based Pipelines: Detects project type (web-service, mobile-app, ai-system, commerce, web3, regulated, and more) and applies matching QA strategy, security tier, compliance checklists, and deploy methods. - Approval Gates: Configurable approval levels (auto, product-only, gates-only, strict, expert, step-by-step) control where the pipeline pauses for human decisions. - Use Case: A founder says "build a subscription billing feature" — the Skill runs product-owner, architect, pm, senior-dev with TDD, parallel code review, QA plus security quorum, then a ship gate before devops deploys with canary rollout. ## Quick Start Describe the feature you want built and let the orchestrator run the full pipeline, pausing only at the approval gates you configured.

Frequently Asked Questions about great_cto

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a full feature development pipeline with AI agents?▼

Describe the feature in natural language and the orchestrator starts the chain at product-owner, then architect, pm, senior-dev, code review, QA, and security run automatically. The pipeline pauses only at the gates defined by your approval level, such as gate:arch and gate:ship.

What approval levels control pipeline gates?▼

Six levels exist: auto (no gates), product-only (product and ship gates), gates-only (default, adds arch gate), strict (adds code review gate), expert (two checkpoints per agent), and step-by-step (every substep). Mandatory-security archetypes like commerce and web3 enforce a minimum of strict.

How does the pipeline choose which specialist agent to dispatch?▼

A routing table maps file patterns and topics to subagent types, such as migrations to db-migration-reviewer, auth flows to security-officer, and payment endpoints to pci-reviewer. general-purpose is only a fallback when nothing matches.

Does it support compliance requirements like GDPR or PCI-DSS?▼

Yes. Compliance parameters in PROJECT.md add checklist items to the security-officer, covering GDPR, PCI-DSS, HIPAA, SOX, SOC2, ISO 27001, DORA, NIS2, 21 CFR Part 11, and others. Jurisdiction tags route work to reviewers like gdpr-reviewer or us-privacy-reviewer.

What happens when a pipeline gate expires without approval?▼

Gates auto-expire after 72 hours without a response and are marked rejected, pausing the pipeline. The system never auto-proceeds past a gate; the CTO must explicitly approve to resume or cancel to drop the work.

When should I use the fast path instead of the full pipeline?▼

Use the fast path for bug fixes, hotfixes, patches, typos, and renames that imply no new components. It runs senior-dev directly into parallel QA and security, then a ship gate, skipping architecture review.