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System Design Case Catalog

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HoangNguyen0403
system-design-case-catalog

Answer classic system design problems as constraint-to-solution sketches and coach interview practice: URL shortener, rate limiter, news feed, chat, notification, autocomplete, crawler, unique id. Use for interview practice or naming the closest known shape for a new problem.

Overview

PublisherHoangNguyen0403
Repositoryagent-skills-standard
Skill namesystem-design-case-catalog
Stars
573
Forks
166
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

Install the System Design Case Catalog AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/system-design/system-design-case-catalog
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/.agents/skills/system-design/system-design-case-catalog .claude/skills/system-design-case-catalog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable System Design Case Catalog 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 System Design Case Catalog 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 System Design Case Catalog 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.

Case Catalog

Priority: P2 (MEDIUM)

Each classic problem has one defining constraint. Name it first; the rest of the design follows.

Defining Constraints

ProblemDefining constraintDecisions that follow
URL shortenerRead-heavy by ~100:1, key must be short and uniqueBase62 of a distributed counter, cache-first read path, 301 vs 302 choice
Rate limiterDecision must be cheap, shared, and correct under concurrencyToken bucket in a shared counter, fail-open or fail-closed rule, 429 plus Retry-After
News feedFan-out cost versus read latency, with celebrity skewPush for normal accounts, pull for celebrities, hybrid merge at read
ChatDelivery guarantees and presence at persistent-connection scaleWebSocket gateways, per-conversation ordering, offline queue, read receipts
NotificationMulti-channel delivery with retries and dedupeQueue per channel, idempotency key, user preference and quiet hours
AutocompleteSub-100ms prefix lookup over a huge term spaceTrie or prefix index in memory, precomputed top-k per prefix, async rebuild
Web crawlerPoliteness and dedupe at scale, not raw fetchingFrontier queue per host, robots cache, URL fingerprint dedupe, freshness policy
Unique idOrdered, unique, generated without a central lockSnowflake-style timestamp plus node plus sequence; clock-skew handling
Video streamingBitrate ladder and CDN economics, not the uploadTranscode pipeline per rendition, adaptive manifests (HLS/DASH), edge cache hit ratio as the cost lever
Ride hailingGeo matching under moving supply and demandGeohash or S2 cells, driver location stream with TTL, matching window and surge as a pricing signal
Payment ledgerExactly-once effect under retries and partial failureIdempotency key per attempt, double-entry ledger, reconciliation job against the processor

Coaching Mode

  • Mock rounds, the clock, the rubric, and the debrief live in system-design-interview-coaching; this catalog is its problem bank.
  • Give the model answer only after the candidate commits to an approach; the defining constraint above is the follow-up question when they stall.
  • For production practice, lazy-load production case packs. They are synthetic fixtures unless a named primary source says otherwise; never present their numbers or timelines as deployed facts.

Production Case Routing

  • Choose one pack only after stating the profile, workload, SLO, team, budget, and invariant. Recalculate all numbers for the user's system.
  • Carry the pack's selected views through the HLD-to-LLD trace; use only the view that answers the current question and do not create a second diagramming lane.

Reuse Rules

  • Map a new problem to the nearest catalog shape, then re-derive the numbers. The shape transfers, the sizing never does.
  • State where the analogy breaks before borrowing the design.
  • A catalog answer is a starting hypothesis, not a substitute for intake and estimation.

Anti-Patterns

  • No pattern-matching without numbers: a known shape still needs this system's QPS and data volume.
  • No interview answer as a build plan: production adds migration, cost, compliance, and team constraints.
  • No full solution dump in coaching mode: the value is in the questions asked, not the answer given.

References

  • Common Designs - per-problem sketch with constraints, components, and trade-offs

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 System Design Case Catalog AI skill do?

Answer classic system design problems as constraint-to-solution sketches and coach interview practice: URL shortener, rate limiter, news feed, chat, notification, autocomplete, crawler, unique id. Use for interview practice or naming the closest known shape for a new problem.

Why use System Design Case Catalog on TypingMind?

Because you install it once and use it with any model. System Design Case Catalog 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 System Design Case Catalog in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/.agents/skills/system-design/system-design-case-catalog. 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 System Design Case Catalog?

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 System Design Case Catalog?

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

Is the System Design Case Catalog AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 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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