ai-agent-orchestrator

Orchestrates multi-agent AI systems with task delegation.

What this skill does for you

Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".

Quoted from the skill description in the pinned source

Who made it

Publisherpatricio0312rev

Repositoryskills

Installs343as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ai-agent-orchestrator skill from patricio0312rev/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 79ea6af485698b31060b63f0066f712560757b29. Raw findings: . 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: 79ea6af485698b31060b63f0066f712560757b29. Raw findings: 1. 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: 79ea6af485698b31060b63f0066f712560757b29. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/patricio0312rev/skills
Pinned skill file: View source at revision
Revision: 79ea6af485698b31060b63f0066f712560757b29
Package hash: sha256:744bfeb221b62c21ac42d6432cc81f45747fe45a99c1a5f20ba2990366d714fb
Licence: MIT