AI Agent Skills

AI-powered macOS development workspace. Git worktrees, Claude Code sessions, and dev servers in a single native app.

A native Rust CLI for orchestrating AI agents across projects, with persistent sessions, worktrees, and local-first control.

Conventional Commits v1.0.0 branch naming, worktree naming, and commit message standards for GitHub and GitLab projects. Use when creating branches, naming worktrees, wr…

Use this skill when running a Docker Agent with `docker agent run`, choosing a safety/approval mode, using the `--sandbox` isolation flag, setting up aliases, or trouble…

Use when the user asks to rebase or update a Git branch onto another ref, handle rebase conflicts, or verify rewritten history. Protects dirty worktrees, resolves confli…

The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer.

Use to break a product idea into incremental steps and keep that decomposition living — one docs/roadmap.md with a destination sentence, the steps table (source-anchored…

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managi…

Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, check…

Delete local Git branches whose upstream was deleted on the remote ("[gone]"), and remove any worktrees attached to them. Use when the user asks to clean up merged/stale…

Orchestrate parallel implementation and fresh validation agents safely in the Sero repository. Use when a task asks for pi-subagents, parallel workers, isolated worktree…