Ms Agent Framework RAG
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
Install AI ML
$ npx skills add aiskillstore/marketplace --skill ai-ml -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace ai-ml --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/sickn33/ai-ml .claude/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .claude/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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/sickn33/ai-mlType 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 ai-ml -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace ai-ml --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/sickn33/ai-ml .agents/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .agents/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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 ai-ml -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace ai-ml --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/sickn33/ai-ml .cursor/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .cursor/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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/sickn33/ai-ml--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 ai-ml -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace ai-ml --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/sickn33/ai-ml .gemini/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .gemini/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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 ai-mlInstalls 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 ai-ml -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/sickn33/ai-ml .github/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .github/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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 ai-ml -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 ai-ml --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/sickn33/ai-ml .opencode/skills/ai-ml && 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-ml" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/ai-ml into .opencode/skills/ai-ml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml", 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-ml- GitHub stars
- 430
- Used in
- 3 other repos
- Token cost
- ~1.5k tokens
- SKILL.md length
- 528 words
- Files
- 2
- Skills in repo
- 1,044
- Repo updated
- First seen
- Licence
- None found
At a glance
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
- Works in 7 steps: AI Application Design → LLM Integration → RAG Implementation → …
- Tasks that involve Retrieval-augmented generation
- SKILL.md covers Overview, When to Use This Workflow, Workflow Phases and AI Development Checklist, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI ML is an agent skill from aiskillstore/marketplace. AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in AI & LLM Engineering, covering Retrieval-augmented generation, MLOps and Machine learning. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Retrieval-augmented generation
- Tasks that involve MLOps
- Tasks that involve Machine learning
Example prompts
- “/ai-ml”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- AI Application Design
- LLM Integration
- RAG Implementation
- AI Agent Development
- ML Pipeline Development
- AI Observability
- AI Security
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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 ML loads about 1.5k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 528 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 528 words (~1,492 tokens).
“Comprehensive AI/ML workflow for building LLM applications, implementing RAG systems, creating AI agents, and developing machine learning pipelines. This bundle orchestrates skills for production AI development.”
- name
- ai-ml
- category
- workflow-bundle
- risk
- safe
- source
- personal
- date_added
- 2026-02-27
Files
SKILL.md and 1 other file in skills/sickn33/ai-ml of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 755bc35
Used in 3 other repositories
We found 12 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- sickn33/agentic-awesome-skillsskills/ai-mlplugins/agentic-awesome-skills/skills/ai-ml+1 more
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/ai-mlantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/ai-ml+1 more
- henryalouf/ruflow.agents/skills/ai-ml.agents/skills/antigravity-awesome-skills/skills/ai-ml+4 more
Compare with similar skills
AI ML 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 ML this skillaiskillstore/marketplace | 430 | 3 repos | ~1.5k | Automated safety check: Pass | None | |
| Ms Agent Framework RAGshuyu-labs/WebCode | 278 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| AI Engineerkid-sid/claude-spellbook | 190 | — | ~3.7k | Automated safety check: Pass | MIT | |
| FeastVectorSpaceLab/AREX-Skill | 330 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| LangchainOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Langchain RAGlangchain-ai/langchain-skills | 1.3k | — | ~3.9k | Automated safety check: Pass | MIT |
Similar skills
AI Engineer
kid-sid/claude-spellbook
A skill your agent uses when building production LLM applications — designing RAG pipelines, choosing vector databases, implementing agent orchestration, optimizing cost, or adding AI safety…
Feast
VectorSpaceLab/AREX-Skill
A skill your agent uses for Feast feature store tasks: feature repositories, definitions, CLI, retrieval, materialization, serving, RAG/vector search, integrations, and Feast contributor workflows.
Langchain
Orchestra-Research/AI-Research-SKILLs
Framework for building LLM-powered applications with agents, chains, and RAG.
- Official
Langchain RAG
langchain-ai/langchain-skills
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.
Agentsop Llamaindex
agentsope/SkillAlchemy
Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.
More from aiskillstore/marketplace
All 1,044 skills in this repoCode Stats
aiskillstore/marketplace
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs).
Data Processing
aiskillstore/marketplace
Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.
Doc Scanner
aiskillstore/marketplace
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance.
File Search
aiskillstore/marketplace
Modern file and content search using fd, ripgrep (rg), and fzf.
Find Replace
aiskillstore/marketplace
Modern find-and-replace using sd (simpler than sed) and batch replacement patterns.
Project Planner
aiskillstore/marketplace
Detects stale project plans and suggests session commands. An agent skill from aiskillstore/marketplace.
Related
Categories
Questions about AI ML
What does AI ML do?
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. AI ML is an agent skill from aiskillstore/marketplace. AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
When should I use AI ML?
AI ML fits situations like: tasks that involve Retrieval-augmented generation; tasks that involve MLOps; tasks that involve Machine learning.
How do I install AI ML in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill ai-ml -a claude-code`. Or copy the skill folder (skills/sickn33/ai-ml in aiskillstore/marketplace) into .claude/skills/ai-ml in your project. Claude Code loads it when a task matches its description.
How do I install AI ML in Codex?
Run `npx skills add aiskillstore/marketplace --skill ai-ml -a codex`. Or copy the skill folder (skills/sickn33/ai-ml in aiskillstore/marketplace) into .agents/skills/ai-ml in your project. Codex loads it when a task matches its description.
Can I use AI ML 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 ai-ml -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-ml, .gemini/skills/ai-ml, .github/skills/ai-ml and .opencode/skills/ai-ml in your project.
What does AI ML need to run?
SKILL.md names no scripts, command-line tools or credentials: AI ML is instructions for the agent only.
Does AI ML access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AI ML 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 ML use?
No licence was found for AI ML or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI ML use?
About 1.5k tokens (SKILL.md is roughly 6k 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 ML?
Skills that share tags, products or a category with AI ML: Ms Agent Framework RAG (shuyu-labs/WebCode, 278 stars), AI Engineer (kid-sid/claude-spellbook, 190 stars), Feast (VectorSpaceLab/AREX-Skill, 330 stars) and Langchain (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI ML?
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.