orchestration/multi-agent-coordination SKILL.md skillA
orchestration/multi-agent-coordination from frankxai/starlight-intelligence-system is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add frankxai/starlight-intelligence-system/orchestration/multi-agent-coordination@git:20260505.489390ePins git:20260505.489390e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- frankxai/starlight-intelligence-system
- Path
skills/orchestration/multi-agent-coordination/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260505.489390e, committed May 5, 2026
- First version recorded
- Feb 10, 2026
- Size
- 2,159 bytes
- Repository stars
- 10
- License
- MIT
Use when multiple Starlight agents need to collaborate on a related task — handles agent selection, task decomposition, dependency management, and result aggregation across the council. Default skill for Starlight Orchestrator.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Multi-Agent Coordination > *"Many minds, one mission. Coordination is the multiplier."* ## When This Skill Activates - Tasks requiring multiple agents to collaborate - Keywords: "coordinate", "agents", "parallel", "team", "collaborate" - Default for: Starlight Orchestrator ## What This Skill Does Manages the coordination of multiple Starlight agents working on related tasks. Handles agent selection, task decomposition, dependency management, and result aggregation. ## Procedures ### Procedure 1: Agent Selection 1. Analyze the task for domain requirements 2. Match domains to agent expertise (see Agent Registry) 3. Assess if agents need to work in parallel or sequence 4. Calculate total token budget for all agents 5. Confirm agent selection is minimal (no unnecessary agents) 6. Brief each agent with their specific sub-task ### Procedure 2: Task Decomposition 1. Break the main task into discrete sub-tasks 2. For each sub-task, identify: owner agent, dependencies, expected output 3. Create dependency graph 4. Identify critical path 5. Optimize for parallel execution where possible 6. Set checkpoints for progress monitoring ### Procedure 3: Result Aggregation …
Read the whole file at its exact version.
How to install
mdr add frankxai/starlight-intelligence-system/orchestration/multi-agent-coordination@sha256:f75f07e11ea797f6The line at the top of this page pins the label git:20260505.489390e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_yrygadqiex5mdhdb)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Feb 10, 2026 and May 5, 2026, about one every 84 days. Its first recorded version is graded C and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260505.489390e latest | 2026-05-05 | 489390e | 2,159 B | A | view · diff |
| git:20260210.4c6c1c0 | 2026-02-10 | 4c6c1c0 | 1,836 B | C | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2159 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
frankxai/starlight-intelligence-system · 10 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yrygadqiex5mdhdb GET https://markdownregistry.com/api/v1/resolve?ref=frankxai/starlight-intelligence-system/orchestration/multi-agent-coordination GET https://markdownregistry.com/api/v1/blob/f75f07e11ea797f6bc8c21f7c01624d44b8cc6f807dfd598e6f8eeea6f80995f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.