deploy-team
deploy-team is an Agent task delegation & fan-out skill for AI agents, published by Rockielab in the rockie-claude repository on GitHub. Skillspace rates deploy-team D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Deploy a multi-agent team on a hard, multi-dimensional problem where several aspects need simultaneous optimization and trade-offs between them, or to shape the thinking behind a non-obvious architectural choice, or to examine work you've already done from multiple distinct perspectives. This is for throwing compute at genuinely hard problems — not for parallelism. Each agent has its own motivation, runs in an isolated git worktree, coordinates with the others via a shared thread, and is observable through a live dashboard the developer can intervene in. NOT for fire-and-forget parallelism — use the native Agent tool when one specialist can answer.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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