Team Code

Coordinate multiple AI agents as a development team to tackle complex coding projects faster and more accurately. Like having a team of engineers working in...

This skill is coherent with its goal of coordinating multiple coding agents, but before using it: (1) ensure your environment has git, git-worktree support, the appropriate runtimes (python/node), and test tools (pytest), since SKILL.md assumes them though the manifest does not declare them; (2) run it on a disposable or non-sensitive repo first — agents will create worktrees, run arbitrary commands, commit, merge, and push/pull to remotes using whatever git credentials are available; (3) restrict remote access or use throwaway credentials if you do not want automatic pushes to upstream repos; (4) review agent-generated commits and merge resolutions manually (or via CI) before accepting into main; (5) if you need tighter guarantees, ask for the skill to explicitly document required binaries, network requirements, and any platform APIs it assumes (e.g., sessions_spawn) before broad adoption.

Type: OpenClaw Skill Name: team-code Version: 1.0.0 The 'team-code' skill bundle implements a coordination framework (CAID) for multi-agent software development. The instructions in SKILL.md and references/examples.md guide an AI agent to manage sub-tasks using git worktrees, dependency graphs, and automated testing via pytest. While the skill utilizes high-privilege capabilities like spawning sub-agents and executing shell commands, these actions are strictly aligned with the stated purpose of parallelized coding and lack any indicators of data exfiltration, persistence, or malicious prompt injection.