Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
7064 results
(70.3ms)
page 6 / 354
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agent-manager-skill
0.00
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
agent-manager-skill
0.00
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
no-polling-agents
0.00
No Polling for Background Agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
zartin790
/
llm-system-template-agents-skills-patterns-tools-prompts-dispatching-parallel-agents
exact
Use when facing 3+ independent failures that can be investigated without
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Agent-Swarm Spawner
0.00
Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.
Design and orchestrate multi-agent systems. Use when building complex AI systems requiring specialization, parallel processing, or collaborative problem-solving. Covers agent coordination,...
agent-memory-mcp
0.00
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).