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Found 10 Skills
Use when a docs-driven repository has a selected or selectable concrete docs/tasks task and needs task-local spec or implementation governance before code changes.
Use when starting any RLM requirement to set up an isolated git worktree. REQUIRED before Phase 1 - creates isolated workspace, verifies clean test baseline, and prevents main branch pollution.
Manage parallel development with Git worktrees. Covers worktree creation with port allocation, environment sync, branch isolation for multi-agent workflows, cleanup automation, and Docker Compose integration. Use when working on multiple branches simultaneously, running parallel CI validations, or isolating agent workspaces.
Use when starting new feature work to create isolated git worktrees with smart directory selection and safety verification. Keeps main branch clean while developing.
[Hyper] Create, enter, list, remove, clean up, or repair Git worktrees for isolated branches and parallel agent sessions, including direct `git-worktree <ARGUMENT>` creation without follow-up questions. Use when the user asks for git worktree setup/removal, branch-per-folder workflows, parallel Codex/Claude/Cursor workspaces, or the repository-local `.hypercore/git-worktree/<folder_name>` convention; when creating and no argument/task is clear, ask what work will happen there in the user's language, derive the folder name, then move subsequent work into the new worktree.
PR-specific validation: isolation, upstream alignment, quality, scope creep. Triggers: "validate PR", "pr validation", "check PR scope", "scope creep check", "isolation check".
Use when starting task work that needs branch isolation, before planning or coding — creates a worktree branching from current remote main with freshness verification and project setup
Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.
Manage long-session context to prevent drift and degradation. Strategies for proactive summarization, branch isolation, and /clear decisions. Invoke when context feels heavy, when accuracy starts slipping, or proactively after a major phase boundary. Addresses the
Git Worktree Manager