quickcall.dev
Official@quickcall-dev
Orchestrate parallel multi-worker execution environments using isolated git worktrees, DAG-based task scheduling, and iterative refinement cycles for code optimization.
Agent Skills by quickcall.dev
Showing 6 vetted skills indexed across 1 GitHub repositories.
quickcall-devworktree-fleet
Run parallel agents in isolated git worktrees with overlap validation.
quickcall-devfleet-plan
Generate fleet.json and worker prompt.md files for parallel AI worker execution.
quickcall-deviterative-fleet
Orchestrate reviewer-gated iterative refinement for parallel agent workers.
quickcall-devautoresearch-fleet
Automate code optimization by committing metric improvements and reverting regressions.
quickcall-devdag-fleet
Orchestrate AI worker tasks in a DAG with budget caps and tmux panes.
quickcall-devdoc
Create experiment workspaces with plans, findings, checkpoints, and research.
Frequently Asked Questions About quickcall.dev
FAQPage SchemaWhat specific tasks can be performed using quickcall.dev?▼
You can manage parallel worker execution, orchestrate task dependencies via DAGs, and perform iterative code refinement. The system enables isolated environment management through git worktrees, automated regression handling, and structured experiment workspaces for tracking findings, checkpoints, and research metrics.
Which technical personas benefit from these capabilities?▼
These capabilities are designed for software engineers, research developers, and systems architects focused on parallelized code optimization. It is specifically suited for those managing complex, multi-worker environments who require granular control over task execution, budget monitoring, and version-controlled experiment tracking.
What are the prerequisites for running these fleet operations?▼
Execution requires a local environment configured with git worktrees and tmux. Users must define fleet.json and worker prompt.md files to establish the task structure. The system relies on these configuration files to manage the lifecycle of parallel workers and their associated research workspaces.