agent-orchestration-multi-agent-optimize SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
agent-orchestration-multi-agent-optimize from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/agent-orchestration-multi-agent-optimize@git:20261015.fac8b7ePins git:20261015.fac8b7e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/agent-orchestration-multi-agent-optimize/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261015.fac8b7e, committed Oct 15, 2026
- First version recorded
- Mar 18, 2026
- Size
- 7,872 bytes
- Repository stars
- 87
- License
- MIT
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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 Optimization Toolkit ## Use this skill when - Improving multi-agent coordination, throughput, or latency - Profiling agent workflows to identify bottlenecks - Designing orchestration strategies for complex workflows - Optimizing cost, context usage, or tool efficiency ## Do not use this skill when - You only need to tune a single agent prompt - There are no measurable metrics or evaluation data - The task is unrelated to multi-agent orchestration ## Instructions 1. Establish baseline metrics and target performance goals. 2. Profile agent workloads and identify coordination bottlenecks. 3. Apply orchestration changes and cost controls incrementally. 4. Validate improvements with repeatable tests and rollbacks. ## Execution boundaries …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/agent-orchestration-multi-agent-optimize@sha256:cf9ecd27188896ccThe line at the top of this page pins the label git:20261015.fac8b7e, 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_fpkyebiysxavyqbf)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 18, 2026 and Oct 15, 2026, about one every 70 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261015.fac8b7e latest | 2026-10-15 | fac8b7e | 7,872 B | A | view · diff |
| git:20260730.90257ed | 2026-07-30 | 90257ed | 7,159 B | A | view · diff |
| git:20260413.f8e0038 | 2026-04-13 | f8e0038 | 7,158 B | A | view · diff |
| git:20260318.cf0657a | 2026-03-18 | cf0657a | 6,839 B | A | 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 (7872 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fpkyebiysxavyqbf GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/agent-orchestration-multi-agent-optimize GET https://markdownregistry.com/api/v1/blob/cf9ecd27188896cc152341be1a606f3b13656397d8be047b350a7497f3e73176
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.
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