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Agent skill

Clade Architecture Variants

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns.

MITAuto-check passedAI & LLM Engineering

Install Clade Architecture Variants

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill clade-architecture-variants -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace clade-architecture-variants --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/clade-architecture-variants .claude/skills/clade-architecture-variants && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clade-architecture-variants
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
342 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns.

  • Works in 5 steps: Chatbot (Stateless API Wrapper) → RAG (Retrieval-Augmented Generation) → Agent (Tool Use Loop) → …
  • Working with architecture-variants patterns
  • SKILL.md covers Overview, 1. Chatbot (Stateless API…, 2. RAG (Retrieval-Augmented… and 3. Agent (Tool Use Loop), plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clade Architecture Variants is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns. agents, content pipelines, and code generation tools. Trigger with "claude architecture", "anthropic rag", "build with claude", "claude agent pattern", "anthropic app design".

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/one-pager.md`). Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Retrieval-augmented generation, Chatbots and conversational support and LLM API integration. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Working with architecture-variants patterns
  • With claude architecture
  • Build with claude
  • Claude agent pattern

Example prompts

  • “claude architecture”
  • “anthropic rag”
  • “build with claude”
  • “/clade-architecture-variants”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Chatbot (Stateless API Wrapper)
  2. RAG (Retrieval-Augmented Generation)
  3. Agent (Tool Use Loop)
  4. Content Pipeline (Batch Processing)
  5. Evaluation / Grading

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • platform.claude.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Clade Architecture Variants loads about 1.6k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 342 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 342 words, ~1,617 tokens.

Download SKILL.mdSave it as .claude/skills/clade-architecture-variants/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
clade-architecture-variants
description
Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns. agents, content pipelines, and code generation tools. Trigger with "claude architecture", "anthropic rag", "build with claude", "claude agent pattern", "anthropic app design".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.1.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, anthropic, claude, architecture, rag, agents

Claude Architecture Variants

Overview

Five architecture patterns for Claude-powered applications: Chatbot (stateless API wrapper), RAG (retrieval-augmented generation with vector search), Agent (tool use loop), Content Pipeline (batch processing), and Evaluation (using Claude as a judge). Each includes complete code and a comparison table.

1. Chatbot (Stateless API Wrapper)

Simplest pattern — proxy Claude with a system prompt.

typescript
// api/chat.ts
export async function POST(req: Request) {
  const { messages } = await req.json();
  const response = await client.messages.create({
    model: 'claude-sonnet-4-20250514',
    max_tokens: 2048,
    system: 'You are a helpful assistant for our SaaS product.',
    messages,
    stream: true,
  });
  return new Response(response.toReadableStream());
}

Best for: Customer support, Q&A, simple conversational interfaces.

2. RAG (Retrieval-Augmented Generation)

Fetch relevant context, inject into prompt, generate grounded answer.

typescript
async function ragQuery(question: string) {
  // 1. Embed the question (use Voyage, OpenAI, or Cohere — not Anthropic)
  const embedding = await embeddingClient.embed(question);

  // 2. Search vector DB for relevant chunks
  const chunks = await vectorDb.query(embedding, { topK: 5 });

  // 3. Send to Claude with context
  const message = await client.messages.create({
    model: 'claude-sonnet-4-20250514',
    max_tokens: 2048,
    system: `Answer based on the provided context. If the context doesn't contain the answer, say so.`,
    messages: [{
      role: 'user',
      content: `Context:\n${chunks.map(c => c.text).join('\n---\n')}\n\nQuestion: ${question}`,
    }],
  });
  return message.content[0].text;
}

Best for: Documentation Q&A, knowledge bases, support with source citations.

3. Agent (Tool Use Loop)

Claude decides which tools to call, you execute them, loop until done.

typescript
async function agentLoop(userInput: string, tools: Anthropic.Tool[]) {
  let messages: MessageParam[] = [{ role: 'user', content: userInput }];

  while (true) {
    const response = await client.messages.create({
      model: 'claude-sonnet-4-20250514',
      max_tokens: 4096,
      tools,
      messages,
    });
    messages.push({ role: 'assistant', content: response.content });

    if (response.stop_reason === 'end_turn') {
      return response.content.find(b => b.type === 'text')?.text;
    }

    // Execute tools
    const results = [];
    for (const block of response.content) {
      if (block.type === 'tool_use') {
        const result = await executeTool(block.name, block.input);
        results.push({ type: 'tool_result', tool_use_id: block.id, content: JSON.stringify(result) });
      }
    }
    messages.push({ role: 'user', content: results });
  }
}

Best for: Data analysis, code generation, multi-step workflows.

4. Content Pipeline (Batch Processing)

Process thousands of documents through Claude asynchronously.

typescript
const batch = await client.messages.batches.create({
  requests: documents.map((doc, i) => ({
    custom_id: doc.id,
    params: {
      model: 'claude-haiku-4-5-20251001', // Cheap for bulk
      max_tokens: 512,
      messages: [{ role: 'user', content: `Extract entities: ${doc.text}` }],
    },
  })),
});
// 50% cheaper, processes within 24h

Best for: Summarization, classification, extraction at scale.

5. Evaluation / Grading

Use Claude to evaluate other AI outputs or human content.

typescript
const evaluation = await client.messages.create({
  model: 'claude-opus-4-20250514', // Best judgment
  max_tokens: 1024,
  system: `You are an expert evaluator. Score the response 1-5 on accuracy, relevance, and completeness. Return JSON: { "accuracy": N, "relevance": N, "completeness": N, "reasoning": "..." }`,
  messages: [{
    role: 'user',
    content: `Question: ${question}\nResponse to evaluate: ${candidateResponse}`,
  }],
});

Best for: AI output quality, content moderation, automated grading.

Choosing a Pattern

PatternLatencyCostComplexity
ChatbotLow (streaming)LowSimple
RAGMedium (embed + search + generate)MediumMedium
AgentHigh (multi-turn)HighComplex
PipelineHigh (async batch)Low (50% off)Simple
EvaluationMediumVariesSimple

Output

  • Architecture pattern selected based on requirements
  • Implementation code for chosen pattern
  • Cost and latency characteristics understood
  • Scaling strategy identified (streaming for chatbots, batches for pipelines)

Error Handling

ErrorCauseSolution
API ErrorCheck error type and status codeSee clade-common-errors

Examples

See five numbered pattern sections with complete TypeScript code, and the Choosing a Pattern comparison table with latency, cost, and complexity ratings.

Resources

Next Steps

See clade-known-pitfalls for common mistakes.

Prerequisites

  • Completed clade-install-auth and clade-model-inference
  • Understanding of your use case requirements (latency, cost, complexity)
  • For RAG: vector database and embedding model (Voyage, OpenAI, or Cohere)

Instructions

Step 1: Review the patterns below

Each section contains production-ready code examples. Copy and adapt them to your use case.

Step 2: Apply to your codebase

Integrate the patterns that match your requirements. Test each change individually.

Step 3: Verify

Run your test suite to confirm the integration works correctly.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/clade-architecture-variants of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/one-pager.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Clade Architecture Variants next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Clade Architecture Variants compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clade Architecture Variants this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.6kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k1 repos~1.3kAutomated safety check: PassMIT
Building Streamlit Chat UIiusztinpaul/designing-real-world-ai-agents-workshop512—~1.4kAutomated safety check: PassApache-2.0
LlamaindexOrchestra-Research/AI-Research-SKILLs13k2 repos~3.7kAutomated safety check: PassMIT
RAG Company Knowledge AssistantHermes-brasil/hermes-brasil154—~1.1kAutomated safety check: PassMIT
AI Engineercuriositech/some_claude_skills2447 repos~2kAutomated safety check: NotesMIT

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Categories

Questions about Clade Architecture Variants

What does Clade Architecture Variants do?

Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns. Clade Architecture Variants is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns.

When should I use Clade Architecture Variants?

Clade Architecture Variants fits situations like: working with architecture-variants patterns; with claude architecture; build with claude; Claude agent pattern.

How do I install Clade Architecture Variants in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clade-architecture-variants -a claude-code`. Or copy the skill folder (skills/.curated/clade-architecture-variants in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/clade-architecture-variants in your project. Claude Code loads it when a task matches its description.

How do I install Clade Architecture Variants in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clade-architecture-variants -a codex`. Or copy the skill folder (skills/.curated/clade-architecture-variants in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/clade-architecture-variants in your project. Codex loads it when a task matches its description.

Can I use Clade Architecture Variants in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clade-architecture-variants -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clade-architecture-variants, .gemini/skills/clade-architecture-variants, .github/skills/clade-architecture-variants and .opencode/skills/clade-architecture-variants in your project.

What does Clade Architecture Variants need to run?

SKILL.md names no scripts, command-line tools or credentials: Clade Architecture Variants is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Clade Architecture Variants access the network?

SKILL.md names 1 domain. As links in the text: platform.claude.com. This is read from the text; nothing was executed.

Is Clade Architecture Variants safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clade Architecture Variants use?

Clade Architecture Variants is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clade Architecture Variants use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 472 tokens, read only when the agent opens those files.

What are the alternatives to Clade Architecture Variants?

Skills that share tags, products or a category with Clade Architecture Variants: LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Building Streamlit Chat UI (iusztinpaul/designing-real-world-ai-agents-workshop, 512 stars), Llamaindex (Orchestra-Research/AI-Research-SKILLs, 13k stars) and RAG Company Knowledge Assistant (Hermes-brasil/hermes-brasil, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clade Architecture Variants?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.