agent-team
Auto-generate and run a per-repo Claude Code agent team.
What this skill does for you
Auto-generate and run a per-repo Claude Code agent team. Probes the current repo (build/CI/env manifests, agent launchers, slash commands, spec dirs) and writes `.claude/agents/{role}.md` subagent definitions for the relevant roles from a library (coder, reviewer, auditor, tester, documenter, release, architect, researcher, spec-keeper, fact-checker, web-ux) plus a `.claude/agent-team.md` workflow doc. Use when (1) `/agent-team init` to create the team for the current repo, (2) `/agent-team update` to refresh after project shape changes, (3) `/agent-team {task}` to run a task with the team (spawn teammates plus drive orchestrator flow plus stop at user gates), (4) `/agent-team reflect` to review the session's agents and propose refactors plus new roles. Roles carry a frontmatter `version:` for staleness detection. Triggers include "/agent-team", "spin up a team", "auto-create agents", "agent team for this repo", "team-on-task", "reflect on the agents".
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the agent-team skill from vtmocanu/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 89396fb2e13afda11587ab61c1e7639161cca6e0. Raw findings: 1. Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 89396fb2e13afda11587ab61c1e7639161cca6e0. Raw findings: 2. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 89396fb2e13afda11587ab61c1e7639161cca6e0. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/vtmocanu/skills
- Pinned skill file
- View source at revision
- Revision
- 89396fb2e13afda11587ab61c1e7639161cca6e0
- Package hash
- sha256:b45297cf6453a6a3565273bc8b3dc15eccb2c56fa9174dc2e4121d25f723dc5e
- Licence
- MIT