Mark.Huang
Community@z-m-huang
It’s never too late to start. It’s always too late to wait.
Agent Skills by Mark.Huang
Showing 16 vetted skills indexed across 2 GitHub repositories.
Z-M-Huangvcp-pre-commit-review
Analyze staged files against VCP standards and output a PASS or BLOCK verdict.
Z-M-Huangvcp-context
Inject VCP security and architecture standards into the AI coding context.
Z-M-Huangvcp-dependency-check
Validate project dependencies against VCP dependency-management standards.
Z-M-Huangvcp-coverage-gaps
Map source files to tests and identify untested functions with priority levels.
Z-M-Huangvcp-review-tests
Identify anti-patterns and quality issues in test files across multiple languages.
Z-M-Huangvcp-init
Create global and project VCP config files and detect plugin paths.
Z-M-Huangvcp-audit
Orchestrates VCP scans to identify codebase security and compliance gaps.
Z-M-Huangvcp-root-cause-check
Analyze proposed bug fixes against VCP root-cause analysis standards.
Z-M-Huangvcp-test-plan
Generate a structured VCP test plan with unit, integration, edge cases, and mocks.
Z-M-Huangvcp-config
Manage VCP config files (.vcp/config.json and ~/.vcp/config.json) with validations and safety checks for sensitive changes.
Z-M-Huangdev-buddy-config
Configure AI provider presets, pipeline stages, and session health via a Bun-based web portal.
Z-M-Huangdev-buddy-bug-fix
Coordinate AI agents to diagnose and fix software bugs via RCA, consolidation, validation, implementation, and code reviews.
Z-M-Huangdev-buddy-manage-presets
Manage AI provider presets in ~/.vcp/ai-presets.json via Bun scripts.
Z-M-Huangdev-buddy-feature-implement
Coordinate a multi-AI development pipeline with iterative review gates.
Z-M-Huangdev-buddy-once
Parse provider, model, and task input to execute a single AI task.
Z-M-Huangmulti-ai
Orchestrate a multi-AI development pipeline for planning, implementing, and reviewing code changes.