multi-agent-orchestration
multi-agent-orchestration is an Agent task delegation & fan-out skill for AI agents, published by crouton-labs in the crouton-kit repository on GitHub. Skillspace rates multi-agent-orchestration D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Design and implement multi-agent LLM systems. Covers orchestrator patterns, parallel agent coordination, pipeline architecture, hierarchical delegation, agent communication, and failure handling. Use when building multi-agent workflows, coordinating parallel agents, designing orchestrators, splitting tasks across agents, or debugging multi-agent failures.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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