Skill Detail

Drive spec-first coding workflows with task boards, worktrees, and agent handoffs using Spec Kitty

Move from spec to plan to tasks to review through one repo-native workflow when larger AI coding efforts need tighter coordination.

Templates & WorkflowsMulti-Framework
Templates & Workflows Multi-Framework Security Reviewed
⭐ 1.1k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill drive-spec-first-coding-workflows-with-task-boards-worktrees-and-agent-handoffs-using-spec-kitty Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python environment, spec-kitty-cli, git, a repository under active development, and access to one of the supported AI coding agents
Install & setup
Install spec-kitty-cli with pip, initialize it in the target repository, choose a supported agent integration, then use the spec, planning, task, next, review, and merge commands to run the workflow.
Author
Priivacy AI
Publisher
Organization
Last updated
Apr 16, 2026
Quick brief

Use Spec Kitty when a team wants a spec-driven implementation loop for larger AI coding projects, with explicit artifacts, task lanes, worktree isolation, and review handoffs, rather than relying on unstructured long-form agent chats. The invoke moment is concrete: initialize a mission, generate or refine the spec and task artifacts, then advance work through the next, review, and merge flow. That scope boundary, repo-native spec-to-merge coordination for coding agents, keeps it distinct from a general coding agent or generic project-management product listing.