A Sovereign Agent Governance Protocol for Deep-Water Workflows
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Updated
May 7, 2026 - JavaScript
A Sovereign Agent Governance Protocol for Deep-Water Workflows
Chinese template for designing Multica multi-agent + skill workflows around task type, budget, models, and verification gates.
Longform article reframing abstention (reject option / selective prediction) as product design, not model weakness. Covers coverage as a KPI, calibration as a prerequisite, threshold selection under review capacity and risk, queue/UX design for human-in-the-loop workflows, and anti-patterns that break safety in production.
💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻
Bilingual Codex skills for requirement discovery, AI workflows, and reusable project-management methods.
💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻
Documentation-led human-in-the-loop workflow case study for decision support and Power Platform-style process automation.
一个零码 , 低码 , AI的微服务接口编排 & 系统集成的强大编排平台,支持Http , Dubbo , WebService等协议的接口编排,支持通过Groovy , JavaScript , Python , C#等多种脚本语言来增强流程,支持使用MySQL,达梦等多种常见数据源。
Agent Skill for deciding when multi-agent orchestration is justified, then designing accountable multi-agent workflows with handoffs and quality gates.
A manual-first agent harness for leading Codex, Claude Code, and Antigravity with clearer requests, safer execution, visible verification, and operator-focused workflows.
A bilingual production workflow system designed for advertising producers. Built with React, TypeScript, Vite, and Codex-assisted development.
Sanitized public evidence for selected Advantage Services product and workflow contributions.
A powerful Python + PyQt5 GUI application for visually designing workflows using draggable nodes and connections. Drag-and-drop visual workflow editor with execution and validation. Python desktop app powered by PyQt5.
A structured LLM persona for college admission workflows, including documentation and system prompt.
YAML DSL for designing application feature logic — validate it, visualize it (VS Code canvas, Mermaid, Obsidian), and let AI agents read and write it via MCP
Human-in-the-loop Applied AI case study for multi-source crypto/VDA reconciliation, traceability, exception handling, and synthetic validation.
This skill helps an agent design, audit, and document workflow logic for agent behavior. It focuses on if/then conditions, multi-step sequences, branching paths, fallback behavior, validation gates, and error handling.
Clean up messy healthcare datasets with guided profiling, safer normalization, and optional local Ollama planning.
AI research residency curriculum and portfolio-ready notes around AI labs, evals, benchmarks, agent systems, and research-adjacent product work near Anthropic and Claude.
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