distributed-mesh
Skill3.4k starsChanged 2 months agoMITView on GitHub
How to coordinate with squads on different machines using git as transport
- Commits and pushes
3 other projects use a version of this.
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Most recently taken up by
- microsoft/github-vteam-industry-demosword for word, first seen Oct 25, 2026
- github/gh-awword for word, first seen May 27, 2026
- Azure/apiops-cliword for word, first seen Apr 27, 2026
Other versions3 projects use a version of this.
Word for word · 3
- github/gh-aw★ 5.6k100% same
- Azure/apiops-cli★ 32100% same
- microsoft/github-vteam-industry-demos★ 2100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 11 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
When squads are on different machines (developer laptops, CI runners, cloud VMs, partner orgs), the local file-reading convention still …
- Distinctive: line 38
All squads are on the same machine (just read the files directly)
- Distinctive: line 110
Phase 3: Never. No MCP federation, A2A, service discovery, message queues.
- Very specific: line 123
If you want a squad that *observes* mesh health, that's a separate Squad project that lists the state repo as a Zone 2 remote in its …
- Distinctive: line 141
When a user invokes this skill to set up a distributed mesh, follow these steps exactly, in order:
- Distinctive: line 145
Ask these questions (adapt phrasing naturally, but get these answers):
- Distinctive: line 184
Write this file to the project root.
- Distinctive: line 200
If the user specified a Zone 2 shared state repo in Step 1, run the initialization:
- Distinctive: line 215
No Zone 2 squads are configured (local/opaque only)
- Very specific: line 220
Create a decision file at .squad/decisions/inbox/<your-agent-name>-mesh-setup.md with this content:
- Distinctive: line 239
Write this file. The Scribe will merge it into the main decisions file later.
- Distinctive: line 243
You are done: Do not:
- Distinctive: line 247
Create any other modules, libraries, or application code
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
SCOPE
✅ THIS SKILL PRODUCES (exactly these, nothing more):
mesh.json— Generated from user answers about zones and squads (which squads participate, what zone each is in, paths/URLs for each), usingmesh.json.examplein this skill's directory as the schema templatesync-mesh.shandsync-mesh.ps1— Copied from this skill's directory into the project root (these are bundled resources, NOT generated code)- Zone 2 state repo initialization (if applicable) — If the user specified a Zone 2 shared state repo, run
sync-mesh.sh --initto scaffold the state repo structure - A decision entry in
.squad/decisions/inbox/documenting the mesh configuration for team awareness
❌ THIS SKILL DOES NOT PRODUCE:
- No application code — No validators, libraries, or modules of any kind
- No test files — No test suites, test cases, or test scaffolding
- No GENERATING sync scripts — They are bundled with this skill as pre-built resources. COPY them, don't generate them.
- No daemons or services — No background processes, servers, or persistent runtimes
- No modifications to existing squad files beyond the decision entry (no changes to team.md, routing.md, agent charters, etc.)
Your role: Configure the mesh topology and install the bundled sync scripts. Nothing more.
Context
When squads are on different machines (developer laptops, CI runners, cloud VMs, partner orgs), the local file-reading convention still works — but remote files need to arrive on your disk first. This skill teaches the pattern for distributed squad communication.
When this applies:
- Squads span multiple machines, VMs, or CI runners
- Squads span organizations or companies
- An agent needs context from a squad whose files aren't on the local filesystem
When this does NOT apply:
- All squads are on the same machine (just read the files directly)
Patterns
The Core Principle
"The filesystem is the mesh, and git is how the mesh crosses machine boundaries."
The agent interface never changes. Agents always read local files. The distributed layer's only job is to make remote files appear locally before the agent reads them.
Three Zones of Communication
Zone 1 — Local: Same filesystem. Read files directly. Zero transport.
Zone 2 — Remote-Trusted: Different host, same org, shared git auth. Transport: git pull from a shared repo. This collapses Zone 2 into Zone 1 — files materialize on disk, agent reads them normally.
Zone 3 — Remote-Opaque: Different org, no shared auth. Transport: curl to fetch published contracts (SUMMARY.md). One-way visibility — you see only what they publish.
Agent Lifecycle (Distributed)
1. SYNC: git pull (Zone 2) + curl (Zone 3) — materialize remote state
2. READ: cat .mesh/**/state.md — all files are local now
3. WORK: do their assigned work (the agent's normal task, NOT mesh-building)
4. WRITE: update own billboard, log, drops
5. PUBLISH: git add + commit + push — share state with remote peersSteps 2–4 are identical to local-only. Steps 1 and 5 are the entire distributed extension. Note: "WORK" means the agent performs its normal squad duties — it does NOT mean "build mesh infrastructure."
The mesh.json Config
{
"squads": {
"auth-squad": { "zone": "local", "path": "../auth-squad/.mesh" },
"ci-squad": {
"zone": "remote-trusted",
"source": "git@github.com:our-org/ci-squad.git",
"ref": "main",
"sync_to": ".mesh/remotes/ci-squad"
},
"partner-fraud": {
"zone": "remote-opaque",
"source": "https://partner.dev/squad-contracts/fraud/SUMMARY.md",
"sync_to": ".mesh/remotes/partner-fraud",
"auth": "bearer"
}
}
}Three zone types, one file. Local squads need only a path. Remote-trusted need a git URL. Remote-opaque need an HTTP URL.
Write Partitioning
Each squad writes only to its own directory (boards/{self}.md, squads/{self}/*, drops/{date}-{self}-*.md). No two squads write to the same file. Git push/pull never conflicts. If push fails ("branch is behind"), the fix is always git pull --rebase && git push.
Trust Boundaries
Trust maps to git permissions:
- Same repo access = full mesh visibility
- Read-only access = can observe, can't write
- No access = invisible (correct behavior)
For selective visibility, use separate repos per audience (internal, partner, public). Git permissions ARE the trust negotiation.
Phased Rollout
- Phase 0: Convention only — document zones, agree on mesh.json fields, manually run
git pull/git push. Zero new code. - Phase 1: Sync script (~30 lines bash or PowerShell) when manual sync gets tedious.
- Phase 2: Published contracts + curl fetch when a Zone 3 partner appears.
- Phase 3: Never. No MCP federation, A2A, service discovery, message queues.
Important: Phases are NOT auto-advanced. These are project-level decisions — you start at Phase 0 (manual sync) and only move forward when the team decides complexity is justified.
Mesh State Repo
The shared mesh state repo is a plain git repository — NOT a Squad project. It holds:
- One directory per participating squad
- Each directory contains at minimum a SUMMARY.md with the squad's current state
- A root README explaining what the repo is and who participates
No .squad/ folder, no agents, no automation. Write partitioning means each squad only pushes to its own directory. The repo is a rendezvous point, not an intelligent system.
If you want a squad that observes mesh health, that's a separate Squad project that lists the state repo as a Zone 2 remote in its mesh.json — it does NOT live inside the state repo.
Examples
Developer Laptop + CI Squad (Zone 2)
Auth-squad agent wakes up. git pull brings ci-squad's latest results. Agent reads: "3 test failures in auth module." Adjusts work. Pushes results when done. Overhead: one git pull, one git push.
Two Orgs Collaborating (Zone 3)
Payment-squad fetches partner's published SUMMARY.md via curl. Reads: "Risk scoring v3 API deprecated April 15. New field device_fingerprint required." The consuming agent (in payment-squad's team) reads this information and uses it to inform its work — for example, updating payment integration code to include the new field. Partner can't see payment-squad's internals.
Same Org, Shared Mesh Repo (Zone 2)
Three squads on different machines. One shared git repo holds the mesh. Each squad: git pull before work, git push after. Write partitioning ensures zero merge conflicts.
AGENT WORKFLOW (Deterministic Setup)
When a user invokes this skill to set up a distributed mesh, follow these steps exactly, in order:
Step 1: ASK the user for mesh topology
Ask these questions (adapt phrasing naturally, but get these answers):
- Which squads are participating? (List of squad names)
- For each squad, which zone is it in?
local— same filesystem (just need a path)remote-trusted— different machine, same org, shared git access (need git URL + ref)remote-opaque— different org, no shared auth (need HTTPS URL to published contract)
- For each squad, what's the connection info?
- Local: relative or absolute path to their
.mesh/directory - Remote-trusted: git URL (SSH or HTTPS), ref (branch/tag), and where to sync it to locally
- Remote-opaque: HTTPS URL to their SUMMARY.md, where to sync it, and auth type (none/bearer)
- Local: relative or absolute path to their
- Where should the shared state live? (For Zone 2 squads: git repo URL for the mesh state, or confirm each squad syncs independently)
Step 2: GENERATE mesh.json
Using the answers from Step 1, create a mesh.json file at the project root. Use mesh.json.example from THIS skill's directory (.squad/skills/distributed-mesh/mesh.json.example) as the schema template.
Structure:
{
"squads": {
"<squad-name>": { "zone": "local", "path": "<relative-or-absolute-path>" },
"<squad-name>": {
"zone": "remote-trusted",
"source": "<git-url>",
"ref": "<branch-or-tag>",
"sync_to": ".mesh/remotes/<squad-name>"
},
"<squad-name>": {
"zone": "remote-opaque",
"source": "<https-url-to-summary>",
"sync_to": ".mesh/remotes/<squad-name>",
"auth": "<none|bearer>"
}
}
}Write this file to the project root. Do NOT write any other code.
Step 3: COPY sync scripts
Copy the bundled sync scripts from THIS skill's directory into the project root:
- Source:
.squad/skills/distributed-mesh/sync-mesh.sh - Destination:
sync-mesh.sh(project root) - Source:
.squad/skills/distributed-mesh/sync-mesh.ps1 - Destination:
sync-mesh.ps1(project root)
These are bundled resources. Do NOT generate them — COPY them directly.
Step 4: RUN --init (if Zone 2 state repo exists)
If the user specified a Zone 2 shared state repo in Step 1, run the initialization:
On Unix/Linux/macOS:
bash sync-mesh.sh --initOn Windows:
.\sync-mesh.ps1 -InitThis scaffolds the state repo structure (squad directories, placeholder SUMMARY.md files, root README).
Skip this step if:
- No Zone 2 squads are configured (local/opaque only)
- The state repo already exists and is initialized
Step 5: WRITE a decision entry
Create a decision file at .squad/decisions/inbox/<your-agent-name>-mesh-setup.md with this content:
### <YYYY-MM-DD>: Mesh configuration
**By:** <your-agent-name> (via distributed-mesh skill)
**What:** Configured distributed mesh with <N> squads across zones <list-zones-used>
**Squads:**
- `<squad-name>` — Zone <X> — <brief-connection-info>
- `<squad-name>` — Zone <X> — <brief-connection-info>
- ...
**State repo:** <git-url-if-zone-2-used, or "N/A (local/opaque only)">
**Why:** <user's stated reason for setting up the mesh, or "Enable cross-machine squad coordination">Write this file. The Scribe will merge it into the main decisions file later.
Step 6: STOP
You are done. Do not:
- Generate sync scripts (they're bundled with this skill — COPY them)
- Write validator code
- Write test files
- Create any other modules, libraries, or application code
- Modify existing squad files (team.md, routing.md, charters)
- Auto-advance to Phase 2 or Phase 3
Output a simple completion message:
✅ Mesh configured. Created:
- mesh.json (<N> squads)
- sync-mesh.sh and sync-mesh.ps1 (copied from skill bundle)
- Decision entry: .squad/decisions/inbox/<filename>
Run `bash sync-mesh.sh` (or `.\sync-mesh.ps1` on Windows) before agents start to materialize remote state.Anti-Patterns
❌ Code generation anti-patterns:
- Writing
mesh-config-validator.jsor any validator module - Writing test files for mesh configuration
- Generating sync scripts instead of copying the bundled ones from this skill's directory
- Creating library modules or utilities
- Building any code that "runs the mesh" — the mesh is read by agents, not executed
❌ Architectural anti-patterns:
- Building a federation protocol — Git push/pull IS federation
- Running a sync daemon or server — Agents are not persistent. Sync at startup, publish at shutdown
- Real-time notifications — Agents don't need real-time. They need "recent enough."
git pullis recent enough - Schema validation for markdown — The LLM reads markdown. If the format changes, it adapts
- Service discovery protocol — mesh.json is a file with 10 entries. Not a "discovery problem"
- Auth framework — Git SSH keys and HTTPS tokens. Not a framework. Already configured
- Message queues / event buses — Agents wake, read, work, write, sleep. Nobody's home to receive events
- Any component requiring a running process — That's the line. Don't cross it
❌ Scope creep anti-patterns:
- Auto-advancing phases without user decision
- Modifying agent charters or routing rules
- Setting up CI/CD pipelines for mesh sync
- Creating dashboards or monitoring tools
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