Microsoft AzureKnown publisherAzure/agent-app-orchestrator/.github/skills/engineering-principles/SKILL.mdengineering-principles
Skill107 starsChanged 3 days agoMITView on GitHub
Agent Landing Zone Orchestrator architecture and implementation principles. Use for design, review, meaningful refactoring, runtime strategies, FastAPI, Azure integration, security, testing, or operations.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Use these principles as design questions rather than dogma.
“Common” is measured: kept by at least 6 in 10 of the 16 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.
Files
Agent Landing Zone Orchestrator engineering principles
Load only the references needed for the task:
| When the task involves | Read |
| Repository purpose, boundaries, runtime strategies, or component ownership | Orchestrator architecture |
| Python, FastAPI, async code, modularity, or implementation clarity | Python and FastAPI |
| Tests, validation, compatibility, or evidence | Testing and evidence |
| Identity, secrets, networking, retrieval, MCP, telemetry, or operations | Security and operations |
Use these principles as design questions rather than dogma. Task requirements, executable configuration, versioned contracts, and the current implementation remain the sources of truth.
Other versions18 projects use a version of this.
Word for word · 1
- Azure/gpt-rag-orchestrator★ 107100% same
Edited · 7
- Azure/agent-landing-zone★ 1.2k55% same
- Azure/GPT-RAG★ 1.2k55% same
- Azure/agent-app-ingestion★ 18834% same
- Azure/gpt-rag-ingestion★ 18834% same
- Azure/gpt-rag-mcp★ 2228% same
- Azure/agent-app-ui★ 1028% same
- Azure/gpt-rag-ui★ 1028% same
Wrote their own version · 10
- Azure/bicep-ptn-aiml-landing-zone★ 19same name
- EnsoDynamics/enso-method★ 5same name
- M4n5ter/skills★ 4same name
- cypher0n3/dotagents★ 3same name
- andrewclark88/skills★ 1same name
- nb-99/skillektion★ 1same name
- sreejithraman/SreeStack★ 1same name
- the-inconvenience-store/skills★ 1same name
- vaibhav-deveree/skill-awesome★ 1same name
- jamespegg/skills★ 0same name
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.
Used alongsideProjects with it also use speckit-converge, speckit-taskstoissues and 9 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 AzureSkillspeckit-converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
Also in 3 projects that use this
- Microsoft AzureSkill
speckit-taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
Also in 3 projects that use this
GoogleSkillwayfinder
Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
Also in 3 projects that use this
- +8 more from Azure
In this repository6 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- architecture-decisionSkill
- documentation-consistencySkill
- orchestrator-releaseSkill
- releaseSkill
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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.