Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval.
Install RAG System Architect
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install criptogus/agent-evolve-network rag-system-architect --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rag-system-architect .claude/skills/rag-system-architect && rm -rf skills-srcUse ~/.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/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .claude/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install criptogus/agent-evolve-network rag-system-architect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/rag-system-architect .agents/skills/rag-system-architect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .agents/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install criptogus/agent-evolve-network rag-system-architect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/rag-system-architect .cursor/skills/rag-system-architect && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .cursor/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/criptogus/agent-evolve-network.git --path skills/rag-system-architect--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install criptogus/agent-evolve-network rag-system-architect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/rag-system-architect .gemini/skills/rag-system-architect && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .gemini/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install criptogus/agent-evolve-network rag-system-architectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/rag-system-architect .github/skills/rag-system-architect && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .github/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install criptogus/agent-evolve-network rag-system-architect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/rag-system-architect .opencode/skills/rag-system-architect && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "rag-system-architect" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/rag-system-architect into .opencode/skills/rag-system-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-system-architect", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
rag-system-architect- GitHub stars
- 288
- Token cost
- ~554 tokens
- SKILL.md length
- 159 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- CC-BY-SA-4.0
At a glance
Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval.
- The user asks for rag system architect work
- SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
- Calls npx
- Tasks that involve Retrieval-augmented generation
What it does
RAG System Architect is an agent skill from criptogus/agent-evolve-network. Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval. Use when the user asks for rag system architect work, or mentions rag, system, architect.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Retrieval-augmented generation. The licence is CC-BY-SA-4.0.
When your agent uses it
- The user asks for rag system architect work
- Tasks that involve Retrieval-augmented generation
Example prompts
- “Use the rag-system-architect skill to design production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval”
- “/rag-system-architect”
Requirements
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit d19b920. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
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):
superagentskill.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.
Context cost
RAG System Architect loads about 554 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 159 words of instructions outside code blocks.
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 criptogus/agent-evolve-network at commit d19b920, republished under its CC-BY-SA-4.0 licence (© criptogus). 159 words, ~554 tokens.
Download SKILL.mdSave it as
.claude/skills/rag-system-architect/SKILL.md (or your agent's skills folder).- name
- rag-system-architect
- description
- Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval. Use when the user asks for rag system architect work, or mentions rag, system, architect.
- version
- 0.1.0
- license
- CC-BY-SA-4.0
- homepage
- https://superagentskill.com/marketplace/rag-system-architect
- source
- Super Agent Skill (SAK)
RAG System Architect
Use when building or improving a RAG pipeline. Covers chunking strategies, embedding model choice, hybrid search, reranking, and offline eval with RAGAS-style metrics.
Instructions
You are a RAG architect. For each request, output: (1) chunking strategy with size/overlap rationale, (2) embedding model + vector store recommendation, (3) hybrid (BM25 + dense) + reranker plan, (4) eval harness (faithfulness, context precision, answer relevance). Refuse to ship without an eval set.
Always
- Follow the section order specified in the system prompt.
Never
- Invent APIs, URLs, or facts not grounded in the input.
Examples
Design a RAG pipeline
Input:
Q&A over 50k internal docs; answers must cite sources.Expected output:
Chunking (structure-aware, ~512 tok + overlap), embedding model choice, vector store, hybrid (BM25 + dense) retrieval, a reranker, and citation-enforcing prompt. Defines an eval set with retrieval@k + faithfulness.Fix poor recall
Input:
Retrieval misses obviously relevant docs.Expected output:
Adds hybrid search + reranking, revisits chunk size/overlap, and checks embedding/domain mismatch; measures retrieval@k before/after instead of eyeballing.Trust & telemetry
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
- Trust Score & evidence: https://superagentskill.com/marketplace/trust/rag-system-architect
- Skill page: https://superagentskill.com/marketplace/rag-system-architect
- Live version (always current) via MCP: https://superagentskill.com/api/mcp
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install rag-system-architect.
© criptogus, CC-BY-SA-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/rag-system-architect of criptogus/agent-evolve-network.
Open the folder on GitHubat commit d19b920
Compare with similar skills
RAG System Architect 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| RAG System Architect this skillcriptogus/agent-evolve-network | 288 | — | ~554 | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~2.3k | Automated safety check: Pass | MIT | |
| LLM Application DevMoizIbnYousaf/ai-agent-skills | 1.1k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 4 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| MCP Local RAGshinpr/mcp-local-rag | 407 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Ms Agent Framework RAGshuyu-labs/WebCode | 278 | — | ~1.1k | Automated safety check: Pass | Custom licence |
Similar skills
LLM Application Dev
MoizIbnYousaf/ai-agent-skills
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
MCP Local RAG
shinpr/mcp-local-rag
Searches, saves, and maintains a local document index through a local RAG MCP server.
Ms Agent Framework RAG
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
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Related
Categories
Questions about RAG System Architect
What does RAG System Architect do?
Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval. RAG System Architect is an agent skill from criptogus/agent-evolve-network. Designs production retrieval-augmented generation systems: chunking, embeddings, vector store, reranking, eval.
When should I use RAG System Architect?
RAG System Architect fits situations like: the user asks for rag system architect work; tasks that involve Retrieval-augmented generation.
How do I install RAG System Architect in Claude Code?
Run `npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a claude-code`. Or copy the skill folder (skills/rag-system-architect in criptogus/agent-evolve-network) into .claude/skills/rag-system-architect in your project. Claude Code loads it when a task matches its description.
How do I install RAG System Architect in Codex?
Run `npx skills add criptogus/agent-evolve-network --skill rag-system-architect -a codex`. Or copy the skill folder (skills/rag-system-architect in criptogus/agent-evolve-network) into .agents/skills/rag-system-architect in your project. Codex loads it when a task matches its description.
Can I use RAG System Architect 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 criptogus/agent-evolve-network --skill rag-system-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rag-system-architect, .gemini/skills/rag-system-architect, .github/skills/rag-system-architect and .opencode/skills/rag-system-architect in your project.
What does RAG System Architect need to run?
Going by SKILL.md and its folder, RAG System Architect needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does RAG System Architect access the network?
SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.
Is RAG System Architect 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 RAG System Architect use?
RAG System Architect is published under the CC-BY-SA-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does RAG System Architect use?
About 554 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to RAG System Architect?
Skills that share tags, products or a category with RAG System Architect: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and MCP Local RAG (shinpr/mcp-local-rag, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains RAG System Architect?
criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.
Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.