Sre Practices

Q: Why use Sre Practices on TypingMind?

Because you install it once and use it with any model. Sre Practices 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.

Q: How do I install Sre Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/devops/sre-practices. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Sre Practices?

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.

Q: How many AI models can I use with Sre Practices?

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

Q: Is the Sre Practices AI skill free?

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

Q: 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.

Q: 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.

Organization

cosmicstack-labs

sre-practices

SLIs/SLOs/SLAs, error budgets, incident response, postmortems, and reliability patterns

Overview

Publisher	cosmicstack-labs
Repository	`mercury-agent-skills`
Skill name	`sre-practices`
Stars	485
Forks	63
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cosmicstack-labs on GitHub. Read the source before you install it.

Installation

Install the Sre Practices 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/cosmicstack-labs/mercury-agent-skills/tree/main/categories/devops/sre-practices
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/cosmicstack-labs/mercury-agent-skills/tree/main/categories/devops/sre-practices

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/cosmicstack-labs/mercury-agent-skills.git /tmp/mercury-agent-skills
mkdir -p .claude/skills
cp -r /tmp/mercury-agent-skills/categories/devops/sre-practices .claude/skills/sre-practices

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

Use it in TypingMind

Enable Sre Practices 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 Sre Practices 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 Sre Practices 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.

SRE Practices

Apply Site Reliability Engineering principles.

Service Level Concepts

Term	Definition	Example
SLI	Measured metric	Request latency p95 < 500ms
SLO	Target threshold for SLI	99.9% of requests < 500ms
SLA	Contractual commitment (usually looser than SLO)	99.5% uptime

Choosing SLOs

Pick metrics users actually care about
Start with availability + latency + durability
Tighten SLOs over time as reliability improves
Don't over-constrain (cost/effort vs. benefit)

Error Budgets


Error Budget = 100% - SLO
Example: 99.9% SLO → 0.1% error budget = ~8.7 hours/month

How Error Budgets Work

If error budget remaining → can deploy new features
If error budget exhausted → freeze deployments, focus on reliability
Error budget burn rate alerts trigger incident response
Balance innovation velocity with system stability

Incident Response

Severity Levels

Level	Definition	Response
SEV1	System down, affecting many users	Immediate, all hands
SEV2	Degraded but operational	30min response
SEV3	Minor issue, workaround exists	Next business day
SEV4	Cosmetic, non-critical	Next sprint

Incident Command System

Incident Commander: Coordinates response
Communications Lead: Status updates, stakeholder comms
Operations Lead: Technical investigation
Scribe: Timeline and action log

Postmortem Culture

Blameless: systems failed, not people
Focus on: detection, response, prevention
Action items with owners and due dates
Share postmortems org-wide
Track action items to completion

Reliability Patterns

Circuit breaker: stop cascading failures
Bulkhead: isolate failure domains
Retry with exponential backoff + jitter
Rate limiting: protect against traffic spikes
Graceful degradation: degrade features, not the whole system

Frequently asked questions

What does the Sre Practices AI skill do?

SLIs/SLOs/SLAs, error budgets, incident response, postmortems, and reliability patterns

Why use Sre Practices on TypingMind?

Because you install it once and use it with any model. Sre Practices 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 Sre Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/devops/sre-practices. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sre Practices?

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 Sre Practices?

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

Is the Sre Practices AI skill free?

Yes. It is published on GitHub by cosmicstack-labs 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

SRE Practices

Service Level Concepts

Choosing SLOs

Error Budgets

How Error Budgets Work

Incident Response

Severity Levels

Incident Command System

Postmortem Culture

Reliability Patterns

Frequently asked questions

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