Perplexity Web Search
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.
Install AI RAG Pipeline
$ npx skills add NeverSight/learn-skills.dev --skill ai-rag-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-rag-pipeline --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/NeverSight/learn-skills.dev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .claude/skills/ai-rag-pipeline && 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 "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .claude/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipelineType 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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-rag-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .agents/skills/ai-rag-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .agents/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-rag-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .cursor/skills/ai-rag-pipeline && 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 "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .cursor/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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/NeverSight/learn-skills.dev.git --path data/skills-md/101-skills/skills/ai-rag-pipeline--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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-rag-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .gemini/skills/ai-rag-pipeline && 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 "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .gemini/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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 NeverSight/learn-skills.dev ai-rag-pipelineInstalls 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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .github/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .github/skills/ai-rag-pipeline && 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 "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .github/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-rag-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-rag-pipeline .opencode/skills/ai-rag-pipeline && 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 "ai-rag-pipeline" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-rag-pipeline into .opencode/skills/ai-rag-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-rag-pipeline", 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
ai-rag-pipeline- GitHub stars
- 217
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 231 words
- Files
- 13
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- None found
At a glance
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.
- Works in 4 steps: Query Optimization → Context Management → Source Attribution → …
- Research assistants
- SKILL.md covers Quick Start, What is RAG?, RAG Pipeline Patterns and Available Tools, plus 5 more sections
- Calls npx
What it does
AI RAG Pipeline is an agent skill from NeverSight/learn-skills.dev. Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files (for example `stats.json`).
It sits in AI & LLM Engineering, covering Retrieval-augmented generation, Web search and Deep research. It works with OpenRouter, Tavily, Exa and Perplexity. The repository describes itself as: Curated high-quality AI Agent Skills. Search, install, copy and share. Works with Claude Code, Cursor, OpenClaw, and other AI coding tools.
When your agent uses it
- Research assistants
- Knowledge bases
Example prompts
- “/ai-rag-pipeline”
Requirements
- Node.js
- Pre-approved tools (allowed-tools): Bash(belt *)
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Query Optimization
- Context Management
- Source Attribution
- Iterative Research
What it can do on your machine
Read from SKILL.md and the folder at commit a4c6758. 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:
Bash(belt *)
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):
inference.shcloud.inference.shraw.githubusercontent.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
AI RAG Pipeline loads about 2k tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 231 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 231 words (~2,010 tokens).
“Build RAG (Retrieval Augmented Generation) pipelines via inference.sh CLI.”
- name
- ai-rag-pipeline
- allowed-tools
- Bash(belt *)
Files
SKILL.md and 12 other files in data/skills-md/101-skills/skills/ai-rag-pipeline of NeverSight/learn-skills.dev.
- SKILL.md
- description_ar.txt
- description_cn.txt
- description_de.txt
- description_en.txt
- description_es.txt
- description_fr.txt
- description_it.txt
- description_ja.txt
- description_ko.txt
- description_ru.txt
- description_tw.txt
- stats.json
Open the folder on GitHubat commit a4c6758
Used in 1 other repository
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NeverSight/learn-skills.dev, which our catalogue first saw on October 7, 2026.
Compare with similar skills
AI RAG Pipeline 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 |
|---|---|---|---|---|---|---|
| AI RAG Pipeline this skillNeverSight/learn-skills.dev | 217 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Perplexity Web Searchdavila7/claude-code-templates | 33k | 11 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Tavily Web Searchallenpeng0705/EnvoyMesh | 3.1k | 3 repos | ~2.5k | Automated safety check: Notes | None | |
| Argo Search and Verificationtaxueseek/argo | 188 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Weekly Signal DiffNateBJones-Projects/OB1 | 4.7k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Multi Source Searchsandbaseai/sandbase-skills | 203 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Tavily Web Search
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
Argo Search and Verification
taxueseek/argo
Unified web search, page fetching and evidence checking across hundreds of sources, with result verification, a research-dossier mode and vertical search engines.
Weekly Signal Diff
NateBJones-Projects/OB1
Turns a noisy week of AI or software market news into a short list of structural changes, weighted by what the user already tracks in Open Brain memory.
Multi Source Search
sandbaseai/sandbase-skills
Portable multi-source research with cross-source validation and an offline evidence ledger.
Research Lookup
K-Dense-AI/claude-scientific-writer
Compile current scholarly evidence for a scientific manuscript or research brief.
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Related
Works with
Categories
Questions about AI RAG Pipeline
What does AI RAG Pipeline do?
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. dev. Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.
When should I use AI RAG Pipeline?
AI RAG Pipeline fits situations like: research assistants; knowledge bases.
How do I install AI RAG Pipeline in Claude Code?
Run `npx skills add NeverSight/learn-skills.dev --skill ai-rag-pipeline -a claude-code`. Or copy the skill folder (data/skills-md/101-skills/skills/ai-rag-pipeline in NeverSight/learn-skills.dev) into .claude/skills/ai-rag-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install AI RAG Pipeline in Codex?
Run `npx skills add NeverSight/learn-skills.dev --skill ai-rag-pipeline -a codex`. Or copy the skill folder (data/skills-md/101-skills/skills/ai-rag-pipeline in NeverSight/learn-skills.dev) into .agents/skills/ai-rag-pipeline in your project. Codex loads it when a task matches its description.
Can I use AI RAG Pipeline 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 NeverSight/learn-skills.dev --skill ai-rag-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-rag-pipeline, .gemini/skills/ai-rag-pipeline, .github/skills/ai-rag-pipeline and .opencode/skills/ai-rag-pipeline in your project.
What does AI RAG Pipeline need to run?
Going by SKILL.md and its folder, AI RAG Pipeline needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(belt *).
Does AI RAG Pipeline access the network?
SKILL.md names 3 domains. As links in the text: inference.sh, cloud.inference.sh and raw.githubusercontent.com. This is read from the text; nothing was executed.
Is AI RAG Pipeline 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 AI RAG Pipeline use?
No licence was found for AI RAG Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI RAG Pipeline use?
About 2k tokens (SKILL.md is roughly 8k 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 AI RAG Pipeline?
Skills that share tags, products or a category with AI RAG Pipeline: Perplexity Web Search (davila7/claude-code-templates, 33k stars), Tavily Web Search (allenpeng0705/EnvoyMesh, 3.1k stars), Argo Search and Verification (taxueseek/argo, 188 stars) and Weekly Signal Diff (NateBJones-Projects/OB1, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI RAG Pipeline?
NeverSight (a GitHub organization) maintains it in NeverSight/learn-skills.dev, which has 217 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 10, 2026.
Source: NeverSight/learn-skills.dev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.