RAG Implementation
wshobson/agents
Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.
Install Building RAG Systems
$ npx skills add aiskillstore/marketplace --skill building-rag-systems -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace building-rag-systems --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .claude/skills/building-rag-systems && 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 "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .claude/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systemsType 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 aiskillstore/marketplace --skill building-rag-systems -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace building-rag-systems --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .agents/skills/building-rag-systems && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .agents/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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 aiskillstore/marketplace --skill building-rag-systems -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace building-rag-systems --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .cursor/skills/building-rag-systems && 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 "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .cursor/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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/aiskillstore/marketplace.git --path skills/asmayaseen/building-rag-systems--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 aiskillstore/marketplace --skill building-rag-systems -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace building-rag-systems --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .gemini/skills/building-rag-systems && 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 "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .gemini/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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 aiskillstore/marketplace building-rag-systemsInstalls 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 aiskillstore/marketplace --skill building-rag-systems -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .github/skills/building-rag-systems && 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 "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .github/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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 aiskillstore/marketplace --skill building-rag-systems -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace building-rag-systems --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/asmayaseen/building-rag-systems .opencode/skills/building-rag-systems && 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 "building-rag-systems" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/asmayaseen/building-rag-systems into .opencode/skills/building-rag-systems/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-rag-systems", 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
building-rag-systems- GitHub stars
- 430
- Token cost
- ~2.7k tokens
- SKILL.md length
- 131 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.
- Implementing document ingestion pipelines
- SKILL.md covers Quick Start, Ingestion Pipeline, Retrieval Patterns and Payload Schema, plus 4 more sections
- Runs Python scripts from its folder; calls pip and python
- Vector search with Qdrant
What it does
Building RAG Systems is an agent skill from aiskillstore/marketplace. Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/ingestion-patterns.md`, `references/retrieval-patterns.md` and `scripts/verify.py`).
It sits in AI & LLM Engineering, covering Vector databases, Retrieval-augmented generation and Anomaly detection. It works with Qdrant. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Implementing document ingestion pipelines
- Vector search with Qdrant
- Context-aware retrieval
Example prompts
- “/building-rag-systems”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 755bc35. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pippython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Building RAG Systems loads about 2.7k tokens when it runs, and up to ~9.1k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 131 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 131 words (~2,700 tokens).
“Production-grade RAG with semantic chunking, incremental updates, and filtered retrieval.”
- name
- building-rag-systems
Files
SKILL.md and 4 other files (scripts, references) in skills/asmayaseen/building-rag-systems of aiskillstore/marketplace.
- SKILL.md
- references/ingestion-patterns.md
- references/retrieval-patterns.md
- scripts/verify.py
- skill-report.json
Open the folder on GitHubat commit 755bc35
Compare with similar skills
Building RAG Systems 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 |
|---|---|---|---|---|---|---|
| Building RAG Systems this skillaiskillstore/marketplace | 430 | — | ~2.7k | Automated safety check: Pass | None | |
| RAG Implementationwshobson/agents | 40k | 9 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Hunt RAG Vectorelementalsouls/Claude-BugHunter | 4.8k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Qdrant Search Qualitygithub/awesome-copilot | 40k | 1 repos | ~336 | Automated safety check: Pass | MIT | |
| QdrantLuciole-Studio/Misaka-Agent | 158 | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Qdrant Relevance Feedbackqdrant/skills | 254 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Building RAG Systems
What does Building RAG Systems do?
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Building RAG Systems is an agent skill from aiskillstore/marketplace. Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.
When should I use Building RAG Systems?
Building RAG Systems fits situations like: implementing document ingestion pipelines; vector search with Qdrant; context-aware retrieval.
How do I install Building RAG Systems in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill building-rag-systems -a claude-code`. Or copy the skill folder (skills/asmayaseen/building-rag-systems in aiskillstore/marketplace) into .claude/skills/building-rag-systems in your project. Claude Code loads it when a task matches its description.
How do I install Building RAG Systems in Codex?
Run `npx skills add aiskillstore/marketplace --skill building-rag-systems -a codex`. Or copy the skill folder (skills/asmayaseen/building-rag-systems in aiskillstore/marketplace) into .agents/skills/building-rag-systems in your project. Codex loads it when a task matches its description.
Can I use Building RAG Systems 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 aiskillstore/marketplace --skill building-rag-systems -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-rag-systems, .gemini/skills/building-rag-systems, .github/skills/building-rag-systems and .opencode/skills/building-rag-systems in your project.
What does Building RAG Systems need to run?
Going by SKILL.md and its folder, Building RAG Systems needs Python for the scripts in its folder and the command-line tools its instructions call (pip and python). Our summary lists: Python 3.
Does Building RAG Systems access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Building RAG Systems 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Building RAG Systems use?
No licence was found for Building RAG Systems or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Building RAG Systems use?
About 2.7k tokens (SKILL.md is roughly 11k 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 6.4k tokens, read only when the agent opens those files.
What are the alternatives to Building RAG Systems?
Skills that share tags, products or a category with Building RAG Systems: RAG Implementation (wshobson/agents, 40k stars), Hunt RAG Vector (elementalsouls/Claude-BugHunter, 4.8k stars), Qdrant Search Quality (github/awesome-copilot, 40k stars) and Qdrant (Luciole-Studio/Misaka-Agent, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Building RAG Systems?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.