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autonomous-pipeline

Coordinate an end-to-end pipeline from requirement to PR-ready delivery.

36|4|Updated Feb 11, 2026
Search Tags:#automation#ddd#pipeline#goals#artifact#ci#adversarial-review
One-click install
npx skills add https://github.com/xg-gh-25/SwarmAI --skill autonomous-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autonomous-pipeline
Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_autonomous-pipeline
Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill autonomous-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Orchestrates the full AIDLC Autonomous Pipeline from a single requirement to a PR-ready delivery by applying DDD-driven judgments, design documents, and TDD verification.

Core Features & Use Cases

  • End-to-end pipeline orchestration: evaluate, think, plan, build, review, test, deliver, reflect.
  • Goal-aware iteration: supports goal profile with internal cycles, budget gating, and adversarial review.
  • Artifact-driven governance: uses DDD docs and engineering checkpoints to ensure quality and traceability.

Quick Start

Supply a one-sentence requirement and let the system orchestrate the full lifecycle in a single run.

Frequently Asked Questions about autonomous-pipeline

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

FAQPage Schema
How do I automate the full software delivery pipeline from a single requirement?▼

An autonomous pipeline automates the full software delivery lifecycle by taking a single requirement and orchestrating it through evaluation, planning, building, testing, and delivery stages to produce a PR-ready output.

What is DDD-driven judgment in an autonomous CI pipeline?▼

DDD-driven judgment in an autonomous pipeline applies domain-driven design documents to guide architectural decisions and engineering checkpoints, ensuring artifact-driven governance and traceability throughout the software delivery lifecycle.

How does adversarial review work in automated software delivery?▼

Adversarial review in automated software delivery evaluates generated artifacts by challenging design decisions and code quality, enforcing GO, DEFER, or REJECT decisions to gate progression and ensure robust PR-ready outputs.

Do I need to provide detailed specifications for an end-to-end autonomous pipeline?▼

No, you supply a one-sentence requirement and the autonomous pipeline orchestrates the entire lifecycle. The system internally handles goal profiling, budget gating, and iterative cycles to reach a PR-ready delivery.

Can TDD verification be integrated into an autonomous pipeline workflow?▼

Yes, TDD verification is integrated directly into the autonomous pipeline workflow, applying test-driven development checks across the build and test stages to validate artifacts before a PR-ready delivery.

What are the limitations of using an autonomous pipeline for software engineering?▼

The autonomous pipeline relies heavily on DDD docs and adversarial review, meaning it requires clear goal profiles and budget gating to function effectively, and may defer or reject outputs if engineering checkpoints are not met.

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