train-complex-blackbox
Train complex blackbox agents (agents without clear reward signals) using AgentJet. Write dataset collectors, episode runners with LLM-as-Judge reward functions, and integrate with the AgentJet training loop.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Train complex blackbox agents (agents without clear reward signals) using AgentJet. Write dataset collectors, episode runners with LLM-as-Judge reward functions, and integrate with the AgentJet training loop.
Create a passive swarm client that waits for user input instead of iterating through a dataset by itself.
Create an active, dataset-driven AgentJet swarm client. Write agent_roll.py and agent_run.py that iterate through a dataset, execute agent workflows, and compute rewards for reinforcement learning training with AgentJet Swarm.
Intelligent agent routing -- automatically matches tasks to the best specialist agent based on file patterns, intent keywords, and domain context. Loaded every session to give Claude explicit routing rules for all 58 AgentSpec agents.
Initialize or refresh the project memory bank. Use when the user wants to set up or regenerate the project's memory files. Not for updating one memory file after it exists or editing a single rule directly.
Route a request to generate a context artifact (skill, rule, agent, command, or hook) to its generator when the kind is unnamed. A named kind triggers its generator directly. Not for listing existing artifacts.
Generate a router-based skill across the host AI tools a project uses. Use when the user wants to create, scaffold, or refactor a skill, or turn a workflow into one. Not for other artifacts like rules, agents, commands, hooks.
Generate a coding rule that governs editor and agent behavior across the host AI tools. Use when the user wants to write, add, or refactor a rule, convention, or coding standard. Not for other artifacts like skills, agents, or hooks.
Generate an agent across the host AI tools a project uses. Use when the user wants to create, scaffold, or refactor an agent, subagent or specialized role. Not for other artifacts like skills, rules, commands, hooks.
Generate a hook, a handler that runs at a lifecycle event, across the host AI tools. Use when the user wants to create, scaffold, or refactor a hook, or automate an action at a lifecycle point. Not for other artifacts like skills or rules.