Agent teams · Cheatcode

into

curl -fsSL https://api.cheatcodehq.com/install.sh | sh -s -- wshobson-agent-teams --to all

Copies 6 skills into each app's skills folder (Claude Code: ~/.claude/skills), after checking every file against wshobson/agents at commit 9b15b34. Nothing else on your computer changes. To undo it, run the terminal command with --uninstall at the end; that also removes what the app added.

Then start a new session in your AI app and ask for the work in plain words; it picks the skill from its description. In Claude Code you can also type /wshobson-agent-teams:multi-reviewer-patterns.

See it in use

One real session, replayed step by step: the request, each step at the moment it happened, and the answer, unedited. Long waits are shown faster, with the real time in the corner. The bug report and the reminder scheduling code are invented for this example, for Acme Notes, a fictional note-taking app.

The result

findings.md

A findings file that names the root cause with line numbers, rules out the other guesses with test results, and suggests a fix it did not apply.

findings.md, the file the session saved.

Open the whole result

Try it

After installing, start a new session and say: Use the parallel-debugging skill to find the cause of the bug in bug-report.md, test each guess, and save your findings as findings.md.

What else it can do, and its limits

6 skills for Claude Code agent teams: team size and roles, splitting work into tasks, messages between agents, multi reviewer code reviews, parallel feature work and parallel debugging
Mostly written for Claude Code's agent teams feature, where several AI agents work at once; without it, the AI applies the same method on its own, one step at a time
Gives frameworks and checklists, not scripts: tests run only when your AI app has a terminal
Debugging sorts causes into six kinds (logic, data, state, integration, resources, environment) and rates confidence by evidence
Feature and review skills cover file ownership, merge order, finding deduplication and severity
Can show each agent in its own tmux pane or iTerm2 tab, or all in one window

Sample input Recorded Oct 24, 2026 in Claude Code 2.1.308 with Sonnet 5.5. The video replays that session; nothing in it was acted or edited.

What's inside 6 skills

multi-reviewer-patternsCoordinate 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.
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-debuggingDebug 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.
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-developmentCoordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
task-coordination-strategiesDecompose 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.
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-protocolsStructured 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, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.
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, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.
team-composition-patternsDesign 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 for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.
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 for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.

About

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Where this comes from. The public repository wshobson/agents at commit 9b15b34, under its MIT license, copied without changes. wshobson is not affiliated with Cheatcode and has not claimed this listing yet. New releases are repackaged after review, never synced automatically. If this is your project, write to admin@cheatcodehq.com to claim or remove it.

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Versions

v0.0.0-g9b15b34Listed from wshobson/agents at 9b15b34 · 2026-09-28