Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
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Updated
Apr 22, 2026 - Python
Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。
Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
Audits pull-request diffs for 10 categories of AI-coding-agent cheat patterns; non-zero exit blocks the merge. Also runs as a contract-driven orchestrator: compile a goal, race candidate patches, log every step to a hash-chained ledger.
BizDevOps rhythm manager for Claude Code — trace business goals to code changes with 18 skills
Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code
Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.
performs SonarQube analyses and checks quality gates https://concourse-ci.org/ https://sonarqube.org/
Turn ad-hoc Claude Code / Codex / Cursor sessions into a repeatable loop — research → plan → wave-execute → close. Parallel sub-agents, inter-wave quality gates, dual GitHub+GitLab integration, F2 Memory + Persona-Panel + gsd-Pattern Adoption. 37 skills · 18 commands · 13 agents · 7360 tests.
Parallel Subagent Orchestration Engine for Claude Code implementing the IOSM methodology. Continuous dispatch scheduling, quality gates, auto-spawn protocol.
ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.
Declarative governance framework for AI-augmented software development lifecycles
Self-orchestrating multi-agent system for Claude Code. 8 AI agents, parallel quality gates, skills architecture & plugin support. Optimized for Claude 4.6.
AI-Powered Development Framework for Claude Code — 70+ commands, 25 agents, 381 skills, quality gates
Governed local runtime for AI coding agents: task lifecycle, mandatory gates, reviews, doc-impact checks, and auditable completion.
Ready-to-use project scaffolding with quality gates, testing, and Claude Code integration. Problem This Solves: LLM-assisted development fails by silently expanding scope, degrading quality, and losing architectural intent. This scaffold exists to make those failures impossible without explicit acknowledgement.
A 7-Pillar AI+Human SDLC methodology — 10 stages, 5 quality gates, 18 SOUL roles. Tool-agnostic, MIT, battle-tested.
Auto-loop execution workflow with quality gates for Claude Code. Automatically decomposes tasks, implements code, runs tests, and iterates through quality gates until completion.
Engineering governance framework for AI coding agents. Forces planning before code, evidence before completion, memory across sessions.
Adversarial agent loops for verifiable vibe researching. Claude Code plugin. Falsification-first, not production-first.
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