Enforce structured AI-assisted software engineering workflows with MCP gatekeepers.
npx skills add https://github.com/cglab-public/agenfk --skill agenfk
Please help me install this Agent Skill. Skill: agenfk Source: https://github.com/cglab-public/agenfk/tree/main Command: npx skills add https://github.com/cglab-public/agenfk --skill agenfk
AI-assisted development often lacks governance, consistency, and traceability. AgenFK provides a mechanical, auditable framework to enforce a high-quality engineering workflow for AI agents.
Start by initializing AgenFK in your editor to establish the project context and framework rules.
High-intent search queries and answers about installing and using this skill.
You can enforce a structured AI workflow using MCP gatekeepers and pre-tool hooks that mandate compliance and traceability across multiple editor integrations before development proceeds.
You can track AI-assisted development progress through a real-time Kanban board that supports multiple projects and synchronizes with GitHub Issues to facilitate cross-team collaboration and visual task management.
Yes, AI workflow governance integrates directly with editors like CLAUDE, Opencode, Cursor, and Codex by applying MCP tools and pre-tool hooks to maintain consistent engineering standards.
You can measure token usage, cycle time, and flow health by leveraging built-in telemetry and metrics tools that log token consumption and validate progress throughout the development lifecycle.
Standard mode manages single-agent operations, while Deep mode handles multi-agent orchestration with plan decomposition and automated handoff to coordinate complex AI-assisted engineering tasks.
You can ensure build compliance by applying per-item build and test gates alongside an 80% test-coverage enforcement rule, using a flow-aware progression system to block non-compliant steps.
JamesShi96Store project context, rules, and tasks for AI coding assistants.
hbvg234Analyze local YAMTAM telemetry logs for hook activity, token usage, and trust health.
LAF-USValidate end-to-end traceability across requirements, plans, checkpoints, and implementation artifacts.
adarshmishra07Coordinate AI agent workflows with a real-time Kanban dashboard.
