agent-collaboration
Skill91 starsChanged 7 months agoNo licenceView on GitHub
Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.
- Reads credentials
- Installs packages
11 other projects use a version of this.
Adopted by
Most recently taken up by
- github/squadtheir own version, first seen Nov 8, 2026
- microsoft/fsi-banking-payments-dispute-resolution-acceleratortheir own version, first seen Oct 25, 2026
- microsoft/github-vteam-industry-demostheir own version, first seen Oct 25, 2026
- microsoft/wazatheir own version, first seen Oct 20, 2026
- kane-mar/skillstheir own version, first seen Oct 9, 2026
- kubefleet-dev/kubefleettheir own version, first seen Oct 8, 2026
Used with
Projects with it also use squad-commands, architectural-proposals and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Microsoft AzureSkillsquad-commands
Categorized catalog of common Squad operations. Coordinator reads this file and presents it as an interactive menu when the user asks for available commands or help.
Also in 5 projects that use this
Microsoft AzureSkillarchitectural-proposals
How to write comprehensive architectural proposals that drive alignment before code is written
Also in 4 projects that use this
GitHubSkille2e-template-testing
End-to-end validation of coordinator and agent template changes
Also in 3 projects that use this
GitHubSkillnotification-routing
Route agent notifications to specific channels by type — prevent alert fatigue from single-channel flooding
Also in 3 projects that use this
- +7 more from Azure
- +1 more from github
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- github/gh-aw★ 5.6ksame name
- github/squad★ 3.4ksame name
- microsoft/waza★ 1.5ksame name
- Azure/fleet★ 227same name
- kubefleet-dev/kubefleet★ 164same name
- Azure/apiops-cli★ 32same name
- othmane55/claude-collective-intelligence★ 4same name
- microsoft/github-vteam-industry-demos★ 2same name
- kane-mar/skills★ 1same name
- Danservfinn/claude-skills★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- contrast-checkSkill
- glb-web-exportSkill
- image-analysisSkill
- image-compareSkill
- image-to-textSkill
- web-designSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
41 rules. 0 are common, 32 are distinctive, and 9 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
32
Distinctive
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

