Use this skill from a project or task tab to map the user's open PRs onto a tree of tabs — one tab per conceptual group of authored PRs (with per-PR leaf tabs), plus a separate subtree for PRs awaiting the user's review. Good for starting the day, triaging in-flight work, or catching up after being away.
Use this skill when you have work that can be broken into parallel subtasks and delegated to child agents. Activates when you need to coordinate multiple agents working on different parts of a plan simultaneously.
Use this skill when your prompt references a coordination file and assigns you a task. You are a subtask agent — part of a larger coordinated effort. Follow the protocol to read your assignment, do your work, and report progress.
Use this skill from a project tab when the user wants to be notified about GitHub PR activity in this project's repo — a PR newly requests their review, or a PR they authored gets a review decision change. Polls `gh` in the background and raises one toast per affected PR via the `notify` MCP tool; the Open button spawns a task-tab child in this project's worktree.
Use this skill when correctness is adversarial — a persistent builder agent writes code while fresh breaker agents each round probe it and report what's broken, looping until the breaker reports clean or a round cap is hit. Good fit for algorithm-heavy, parser, or security-adjacent work where "what could go wrong" is the real risk and a single implementer is likely to miss cases.
Use this skill for iterative build-refactor-build loops where a parent agent delegates work to generation tabs, harvests ideas, and spawns another generation acting on the best ones. Activates when the user wants to "keep improving X", run "another pass", do "iterative refinement", or loop until some fitness signal is met. Not for one-shot feature work — use mandelbot-delegate for that.
Use this skill when you want multiple attempts at the same task and will pick the best one. Spawns N contestant agents in parallel, then a judge agent scores their outputs against user-supplied criteria and picks a winner. Good fit when the right approach is unclear and you'd rather try several in parallel than commit to one up front.
Use this skill when you want to build something end-to-end fast and then harden it. Delegates a spike child (cut corners, prove the approach), then the parent reads the summary and proceeds normally — plan, delegate, or implement directly. Good fit for "I want to try X" tasks where correctness matters but the shape is uncertain.