AgentKit Core
codexDeeply personalized Skills4-IT workflows spanning .NET, Power Platform, MCP/agents, training business, consulting delivery and knowledge/relationship context.
119 skills
Create, review, test and adapt practical hands-on IT labs using repeatable Skills4-IT instructional design workflows.
Plugin lab-generator in RemseyMailjard/agentkit. Commands read from the repo's manifest — 1 month ago.
adapt-labUse when a user asks to adapt an existing technical lab for a different audience, duration, difficulty level, environment or delivery format.
create-challengeUse when a user asks for an independent challenge exercise that builds on an existing lab, topic or demonstrated technical skill.
create-labCreate a complete hands-on IT lab from a topic, learning objective, technology or scenario. Use when the user wants learners to practice by building, configuring, testing or troubleshooting something themselves.
review-labUse when a user asks to review a technical hands-on lab for clarity, executability, instructional quality, realism or delivery readiness.
test-labValidate whether a technical lab is actually executable, complete and internally consistent. Use when the user wants a dry run, dependency check, step validation or delivery-readiness assessment.
Deeply personalized Skills4-IT workflows spanning .NET, Power Platform, MCP/agents, training business, consulting delivery and knowledge/relationship context.
119 skills
Design practical, audience-aware IT training programs using the Skills4-IT training methodology, including needs analysis, learning objectives, course flow, assessments, instructor briefs and delivery-readiness checks.
8 skills
Design, build, review, secure and test Model Context Protocol servers using repeatable Skills4-IT engineering workflows.
6 skills
Review and improve .NET repositories using repeatable Skills4-IT quality workflows for correctness, architecture, ASP.NET Core, EF Core, security and remediation.
5 skills
Scaffolded OneNote knowledge and memory plugin for AgentKit. Defines context-retrieval and knowledge-capture skill boundaries ahead of a future MCP-backed implementation.
4 skills · 1 MCP server
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
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