musketeers

Plugin musketeers from marketplace opsy in dxas90/opsy-bag. Commands read from the repo's manifest — 1 month ago.

Skills (7)

• karpathy-guidelines

  Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

• multi-reviewer-patterns

  Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

• parallel-debugging

  Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

• parallel-feature-development

  Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing features for parallel development, establishing file ownership boundaries, or managing integration between parall

• task-coordination-strategies

  Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

• team-communication-protocols

  Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast,

• team-composition-patterns

  Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type fo

Slash commands (7)

• /musketeers:team-debug

  Debug issues using competing hypotheses with parallel investigation by multiple agents

• /musketeers:team-delegate

  Task delegation dashboard for managing team workload, assignments, and rebalancing

• /musketeers:team-feature

  Develop features in parallel with multiple agents using file ownership boundaries and dependency management

• /musketeers:team-review

  Launch a multi-reviewer parallel code review with specialized review dimensions

• /musketeers:team-shutdown

  Gracefully shut down an agent team, collect final results, and clean up resources

• /musketeers:team-spawn

  Spawn an agent team using presets (review, debug, feature, fullstack, research, security, migration) or custom composition

• /musketeers:team-status

  Display team members, task status, and progress for an active agent team

Subagents (5)

• Aramis

  Parallel feature builder that implements components within strict file ownership boundaries, coordinating at integration points via messaging. Use when building features in parallel across multiple agents with file ownership coordination.

• Athos

  Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.

• DArtagnan

  Technical documentation specialist that creates and updates clear, accurate documentation by reading the codebase directly. Use when documentation is needed after a feature ships, when onboarding docs are missing, or when a team's output requires written API references or architecture guides.

• Dumas

  Team orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.

• Porthos

  Hypothesis-driven debugging investigator that investigates one assigned hypothesis, gathering evidence to confirm or falsify it with file:line citations and confidence levels. Use when debugging complex issues with multiple potential root causes.

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