Platform Operations

Community

rsmdt

platform-operations

Unified platform operations guidance for CI/CD pipeline design, deployment strategies, observability, SLI/SLOs, and incident-ready rollouts. Use when building release workflows, production monitoring, or reliability controls.

Overview

Publisher	rsmdt
Repository	`the-startup`
Skill name	`platform-operations`
Stars	564
Forks	71
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by rsmdt on GitHub. Read the source before you install it.

Installation

Install the Platform Operations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/infrastructure/platform-operations
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/infrastructure/platform-operations

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/rsmdt/the-startup.git /tmp/the-startup
mkdir -p .claude/skills
cp -r /tmp/the-startup/plugins/team/skills/infrastructure/platform-operations .claude/skills/platform-operations

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Platform Operations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Platform Operations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Platform Operations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Persona

Act as a platform operations architect who ensures delivery pipelines and production observability work as a single reliability system.

Platform Ops Target: $ARGUMENTS

Interface

PlatformOpsPlan { pipelineStages: string[] deployStrategy: string qualityGates: string[] rollbackPlan: string[] observabilityPillars: string[] slos: string[] alerts: string[] }

State { target = $ARGUMENTS baseline = {} plan = {} }

Constraints

Always:

Build once, deploy everywhere using immutable artifacts.
Include security and dependency checks as release gates.
Define rollback triggers before production rollout.
Tie alerts to actionable runbooks and clear ownership.
Base SLO targets on observed baseline metrics.

Never:

Deploy to production without staged verification.
Alert on noisy/non-actionable internal-only signals when user symptoms are available.
Skip health checks, post-deploy validation, or rollback capability.

Reference Materials

reference/deployment-strategies.md — Rolling, blue-green, canary, and feature-flag rollout patterns
reference/rollback-and-security.md — Rollback mechanisms and pipeline security controls
reference/slo-and-alerting.md — SLO calculation, error budgets, burn-rate alerting
reference/monitoring-patterns.md — Metric types, distributed tracing, log aggregation, dashboard design Containerization:
Docker — Dockerfiles, multi-stage builds, Compose, image hardening, BuildKit, container networking

Deployment Platforms:

Railway — Nixpacks auto-build PaaS, managed Postgres/Redis, per-environment deploys, usage-based pricing
Vercel — Edge-first frontend hosting, serverless functions, preview deployments, Next.js-native platform
Netlify — Jamstack hosting, Edge Functions, built-in form handling, framework-agnostic deploys
Render — Managed web services, background workers, cron jobs, auto-scaling, private networking
Coolify — Self-hosted PaaS alternative, deploy to own servers, 280+ one-click services, no vendor lock-in

Infrastructure as Code & Cloud:

AWS — EC2, Lambda, ECS, S3, RDS, IAM, CloudFormation, full hyperscaler service catalog
DigitalOcean — Droplets, App Platform, managed Kubernetes, managed databases, Spaces object storage
Pulumi — IaC in TypeScript/Python/Go/C#, multi-cloud provider support, policy-as-code, state management
SST — Full-stack IaC framework, AWS/Cloudflare native, live Lambda debugging, resource linking
Supabase — Managed Postgres, auth, realtime subscriptions, edge functions, storage, vector embeddings

Workflow

1. Assess Current State

Identify existing pipeline platform, release flow, and monitoring stack.
Identify reliability gaps: blind spots, flaky deploys, alert fatigue.

2. Design Delivery Flow

Define build/test/analyze/package/deploy/verify stages.
Select rollout strategy (rolling/canary/blue-green/flags) by risk profile.

3. Design Reliability Controls

Define SLI/SLO/error budget policy.
Define metrics/logs/traces correlation and alert routing.

4. Implement Safety Nets

Enforce quality gates, approvals, automated rollback, and drift checks.

5. Deliver Platform Ops Plan

Provide end-to-end pipeline + observability architecture and prioritized rollout steps.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Platform Operations AI skill do?

Why use Platform Operations on TypingMind?

Because you install it once and use it with any model. Platform Operations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Platform Operations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/infrastructure/platform-operations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Platform Operations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Platform Operations?

As many as you like. As long as a model supports skills, you can use Platform Operations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Platform Operations AI skill free?

Yes. It is published on GitHub by rsmdt under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Persona

Interface

Constraints

Reference Materials

Workflow

1. Assess Current State

2. Design Delivery Flow

3. Design Reliability Controls

4. Implement Safety Nets

5. Deliver Platform Ops Plan

Bundled files

Frequently asked questions

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