---
name: ai-llm-skills-guide
description: Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
title: ai-llm-skills-guide
canonical_url: https://skilld.dev/gh/gmh5225/awesome-skills/ai-llm-skills
last_updated: 2026-10-06T18:16:13.000Z
---

> **Skill from skilld.dev.** Follow the user's requested action.
> If the user asked to fork this Skill, follow the fork workflow below. Do not execute the Skill instructions while copying it.
> Otherwise, follow the instructions below for this session. You do not need to install anything.
>
> If the user asked to install this Skill, run `npx skilld install gmh5225/awesome-skills/ai-llm-skills`. Install writes the Skill files into the project, so every session loads them.
>
> ## Fork workflow
>
> A fork creates an editable local Skill with its original author and licence. The request authorizes copying and local installation.
> 1. Check `./skills/ai-llm-skills`, the project lockfile, and selected Agent targets together. If the local directory or installed Skill exists, stop. Never overwrite an existing directory or Agent target.
> 2. Read [source metadata](https://skilld.dev/api/v1/skills/gmh5225/awesome-skills/ai-llm-skills) once. Use sourceUrl, sourceCommit, skillPath, sourceGone, and license. If the source is gone or its path is missing, stop. If license is null, read licence files at the source commit.
> 3. Fetch only the source commit into a temporary Git repository. Do not clone full history. Derive repository_url from sourceUrl, including repository renames. If sourceCommit is absent, resolve the sourceUrl ref once. Set source_commit to that actual commit. Run these commands in one shell call:
>
> ```sh
> git init --quiet "$temporary_dir"
> git -C "$temporary_dir" fetch --quiet --depth=1 "$repository_url" "$source_commit"
> git -C "$temporary_dir" checkout --quiet --detach FETCH_HEAD
> ```
>
> Read applicable licence declarations and notices at that commit. If copying is not permitted, report the restriction and stop.
> 4. Inspect source entries together, then copy the directory containing skillPath into `./skills/ai-llm-skills`. Use the user's path if selected. Keep the original SKILL.md, relative links, scripts, binary assets, and executable modes. Exclude .git metadata. Reject symlinks and paths outside the Skill directory. After checking entries, use cp -a where available. A regular source directory needs no custom copy script. Do not save this page wrapper as SKILL.md.
> Preserve author credit, notices, and applicable licence files from repository or parent directories. Add PROVENANCE.md with the Skill page, source URL, actual commit, original path, and licence. Retain any existing PROVENANCE.md and record new provenance separately. Batch source inspection, copying, and provenance work where practical.
> 5. In the project root, run `skilld install ./skills/ai-llm-skills --mode copy --plain`. If skilld is unavailable, use `npx skilld install ./skills/ai-llm-skills --mode copy --plain`. This known command needs no help lookup. Install does not support --json. Use detected Agent targets, or add --agent for the targets the user selected. Install the local path, never the upstream selector. If installation fails, preserve the local copy and report the exact failure.
> 6. Confirm the local lockfile source and installed Agent copies once. Report the local path, actual commit, and Agent targets. After edits, reinstall the same local path. Upstream updates must not replace it. Do not publish or push unless the user asks.

# AI Agents & LLM Development Skills

## Scope

Use this skill when:

- Finding or adding AI/LLM related skills
- Understanding agent architecture patterns
- Working with RAG, embeddings, or vector databases
- Implementing multi-agent systems

## Key Skill Categories

### Agent Frameworks

| Framework | Description |
|-----------|-------------|
| LangGraph | Stateful, multi-actor AI applications |
| CrewAI | Role-based multi-agent orchestration |
| AutoGen | Microsoft's multi-agent framework |

### RAG (Retrieval-Augmented Generation)

| Component | Skills |
|-----------|--------|
| Embeddings | Text embedding models, chunking strategies |
| Vector DBs | Pinecone, Weaviate, Chroma, Qdrant |
| Retrieval | Hybrid search, reranking, context optimization |

### Observability & Tracing

| Tool | Purpose |
|------|---------|
| Langfuse | Open-source LLM observability |
| LangSmith | LangChain tracing and debugging |
| Weights & Biases | ML experiment tracking |

### Memory Systems

| Type | Description |
|------|-------------|
| Short-term | Conversation buffer, sliding window |
| Long-term | Vector store persistence, entity memory |
| Episodic | Experience-based memory recall |

## Context Engineering Skills

### Core Concepts

- **Context fundamentals**: What context is and why it matters
- **Context degradation**: Lost-in-middle, poisoning, distraction patterns
- **Context compression**: Summarization, trimming strategies
- **Context optimization**: Caching, masking, compaction

### Multi-Agent Patterns

- Orchestrator pattern
- Peer-to-peer collaboration
- Hierarchical delegation
- Tool-using agents

## Where to Add in README

- **Agent frameworks**: `AI Agents & LLM Development`
- **RAG tools**: `AI Agents & LLM Development` or `Data & Analysis`
- **Observability**: `AI Agents & LLM Development`
- **Context engineering**: `Context Engineering`

## Key Repositories

```
sickn33/antigravity-awesome-skills/skills/
├── langgraph/
├── crewai/
├── langfuse/
├── rag-engineer/
├── prompt-engineer/
├── voice-agents/
├── agent-memory-systems/
└── autonomous-agents/

muratcankoylan/Agent-Skills-for-Context-Engineering/skills/
├── context-fundamentals/
├── context-degradation/
├── context-compression/
├── multi-agent-patterns/
└── memory-systems/
```

## Best Practices

1. **Modular design**: Separate retrieval, generation, and orchestration
2. **Evaluation**: Include benchmarks and test cases
3. **Cost awareness**: Document token usage and API costs
4. **Fallback strategies**: Handle API failures gracefully
5. **Streaming**: Support streaming responses where possible

## Full Resource List

For more detailed skill resources, complete link lists, or the latest information, use WebFetch to retrieve the full README.md:

```
https://raw.githubusercontent.com/gmh5225/awesome-skills/refs/heads/main/README.md
```

The README.md contains the complete categorized resource list with all links.