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maxsimcli
maxsimcli에는 maystudios에서 수집한 skills 16개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Evidence-based verification with 2 quality gates (pre-check and post-check), anti-rationalization enforcement, and 3-step retry escalation. Used when completing tasks, verifying implementations, or before claiming work is done.
Routes work through MaxsimCLI commands based on project state and user intent. Provides command reference and decision routing table. Used when determining which MaxsimCLI command to use or when starting a new session.
Coordinates Tier 2 Agent Teams with TeamCreate, SendMessage, competitive implementation, multi-reviewer code review, and collaborative debugging patterns. Used when workflows require inter-agent communication, adversarial debate, or shared task lists.
Autonomous optimization loop with reference workflows. Powers /maxsim:improve, /maxsim:fix-loop, /maxsim:debug-loop, /maxsim:security. Used when running autonomous optimization, error repair, bug hunting, or security audit loops.
GitHub-native persistence for project learnings, decisions, and patterns using issue labels and structured comments. Used when recording what worked, what failed, or architectural decisions that should persist across sessions.
Orchestrates parallel agent execution using worktree isolation following Anthropic's batch pattern. Used when multiple independent tasks can be executed simultaneously.
Explores multiple implementation approaches before committing to one. Produces a structured comparison table with effort/risk assessment. Used when starting features, facing design decisions, or multiple valid approaches exist.
Performs multi-dimensional code review covering security, quality, spec compliance, and maintainability. Used when reviewing completed implementations or before merging changes.
Enforces conventional commit format with atomic changes and co-author attribution. Used when committing code changes to maintain consistent git history.
Unified GitHub interaction covering artifact types, comment conventions, CLI commands, and issue lifecycle. Used when reading from or writing to GitHub Issues, managing the project board, or posting structured comments.
Standardizes agent output format with key decisions, artifacts, status, and deferred items. Used when any agent completes a task and needs to report results to the orchestrator.
Reviews changed code for reuse opportunities, quality issues, and efficiency improvements, then fixes actionable items. Used after implementing features or when code feels over-engineered.
Provides systematic investigation merging research methodology with tool selection best practices using parallel agents, source hierarchy, and Claude Code tool priority. Used when investigating codebase patterns, evaluating libraries, or gathering information before planning.
Creates phased project roadmaps with dependency graphs, success criteria, and GitHub Milestone structure. Used when planning new projects, creating milestones, or breaking work into phases.
Systematic debugging via reproduce-hypothesize-isolate-verify-fix-confirm cycle. Requires evidence at each step. Used when encountering bugs, test failures, or unexpected behavior.
Enforces red-green-refactor TDD cycle with atomic commits per phase. Used when implementing features, fixing bugs, or when tests should drive the design.