diff --git a/docs/skills/SKILLS-INDEX.md b/docs/skills/SKILLS-INDEX.md
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+++ b/docs/skills/SKILLS-INDEX.md
@@ -529,6 +529,30 @@ docs/skills/
 **License:** MIT  
 **Added:** 2026-04-09 by Chronicler #73
 
+### skill-seekers-reference (Gitea)
+**Location:** https://git.firefrostgaming.com/firefrost-gaming/skill-seekers-reference  
+**Source:** Fork of [yusufkaraaslan/Skill_Seekers](https://github.com/yusufkaraaslan/Skill_Seekers)  
+**License:** MIT  
+**Added:** 2026-04-09 by Chronicler #73
+
+**Purpose:** Convert documentation sites, GitHub repos, PDFs, and 17+ source types into AI skills and RAG pipelines. Directly applicable to Task #93 (Trinity Codex).
+
+| Feature | Description |
+|---------|-------------|
+| **17 source types** | Docs, GitHub, PDFs, YouTube, notebooks, wikis, OpenAPI |
+| **Multiple targets** | Claude, Gemini, OpenAI, LangChain, LlamaIndex, Qdrant |
+| **Qdrant pipeline** | Direct integration with our planned RAG stack |
+| **Smart chunking** | Preserves code blocks and context |
+
+**Quick start:**
+```bash
+pip install skill-seekers
+skill-seekers create https://docs.example.com/
+skill-seekers package output/example --target qdrant
+```
+
+**See also:** `docs/tasks/task-093-trinity-codex/references/skill-seekers-qdrant.md`
+
 **Contents:** 2,375 files across 20+ categories — a comprehensive AI skills library for full review.
 
 | Category | Items | Highlights |
diff --git a/docs/tasks/task-093-trinity-codex/references/skill-seekers-qdrant.md b/docs/tasks/task-093-trinity-codex/references/skill-seekers-qdrant.md
new file mode 100644
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+++ b/docs/tasks/task-093-trinity-codex/references/skill-seekers-qdrant.md
@@ -0,0 +1,193 @@
+# Skill Seekers + Qdrant Integration
+
+**Source:** https://github.com/yusufkaraaslan/Skill_Seekers  
+**License:** MIT  
+**Gitea Fork:** https://git.firefrostgaming.com/firefrost-gaming/skill-seekers-reference
+
+## Overview
+
+Skill Seekers converts documentation sites, GitHub repos, PDFs, and 17+ source types into structured knowledge assets ready for RAG pipelines. This is directly applicable to Trinity Codex.
+
+## Installation
+
+```bash
+pip install skill-seekers
+```
+
+## Quick Start
+
+```bash
+# Convert docs to skill
+skill-seekers create https://docs.example.com/
+
+# Package for Qdrant
+skill-seekers package output/example --target qdrant
+```
+
+## Supported Sources (17 types)
+
+- Documentation websites
+- GitHub repositories
+- PDF documents
+- Word documents (.docx)
+- EPUB e-books
+- Jupyter Notebooks
+- OpenAPI specs
+- PowerPoint presentations
+- AsciiDoc documents
+- HTML files
+- RSS/Atom feeds
+- Man pages
+- YouTube videos (with `skill-seekers[video]`)
+
+## Qdrant Pipeline
+
+### Step 1: Generate Skill
+
+```python
+#!/usr/bin/env python3
+import subprocess
+from pathlib import Path
+
+# Scrape documentation
+subprocess.run([
+    "skill-seekers", "scrape",
+    "--config", "configs/your-config.json",
+    "--max-pages", "20"
+], check=True)
+
+# Package for Qdrant
+subprocess.run([
+    "skill-seekers", "package",
+    "output/your-skill",
+    "--target", "qdrant"
+], check=True)
+
+output = Path("output/your-skill-qdrant.json")
+print(f"Ready: {output} ({output.stat().st_size/1024:.1f} KB)")
+```
+
+### Step 2: Upload to Qdrant
+
+```python
+#!/usr/bin/env python3
+import json
+from qdrant_client import QdrantClient
+from qdrant_client.models import Distance, VectorParams, PointStruct
+
+# Connect to Qdrant (our instance will be on TX1)
+client = QdrantClient(url="http://localhost:6333")
+
+# Load packaged data
+with open("output/your-skill-qdrant.json") as f:
+    data = json.load(f)
+
+collection_name = data["collection_name"]
+config = data["config"]
+
+# Create collection
+client.create_collection(
+    collection_name=collection_name,
+    vectors_config=VectorParams(
+        size=config["vector_size"],
+        distance=Distance.COSINE
+    )
+)
+
+# Upload points (add real embeddings in production)
+points = []
+for point in data["points"]:
+    points.append(PointStruct(
+        id=point["id"],
+        vector=[0.0] * config["vector_size"],  # Replace with real embeddings
+        payload=point["payload"]
+    ))
+
+client.upsert(collection_name=collection_name, points=points)
+print(f"Uploaded {len(points)} points to {collection_name}")
+```
+
+### Step 3: Query
+
+```python
+#!/usr/bin/env python3
+from qdrant_client import QdrantClient
+from qdrant_client.models import Filter, FieldCondition, MatchValue
+
+client = QdrantClient(url="http://localhost:6333")
+collection_name = "your-collection"
+
+# Filter by category
+result = client.scroll(
+    collection_name=collection_name,
+    scroll_filter=Filter(
+        must=[
+            FieldCondition(
+                key="category",
+                match=MatchValue(value="api")
+            )
+        ]
+    ),
+    limit=5
+)
+
+for point in result[0]:
+    print(f"- {point.payload['file']}: {point.payload['content'][:100]}...")
+```
+
+## Trinity Codex Application
+
+### Phase 1: Documentation Ingestion
+
+Convert key Firefrost documentation sources:
+
+```bash
+# Pterodactyl docs
+skill-seekers create https://pterodactyl.io/project/introduction.html
+skill-seekers package output/pterodactyl --target qdrant
+
+# Minecraft Wiki (modding)
+skill-seekers create https://minecraft.wiki/w/Mods
+
+# Operations Manual (local)
+skill-seekers create ./docs/
+skill-seekers package output/docs --target qdrant
+```
+
+### Phase 2: Vector Database Setup
+
+Qdrant runs on TX1 (38.68.14.26) alongside Dify:
+
+```bash
+# Docker deployment
+docker run -d \
+  --name qdrant \
+  -p 6333:6333 \
+  -v /opt/qdrant/storage:/qdrant/storage \
+  qdrant/qdrant:latest
+```
+
+### Phase 3: Dify Integration
+
+Dify connects to Qdrant for RAG queries. See Dify documentation for knowledge base configuration.
+
+## Key Features for Firefrost
+
+| Feature | Benefit |
+|---------|---------|
+| Multi-source ingestion | Combine wiki, docs, PDFs into one knowledge base |
+| Qdrant-native output | Direct integration with our planned stack |
+| Smart chunking | Preserves code blocks and context |
+| Metadata preservation | Category, file, type fields for filtering |
+| 500+ line SKILL.md | High-quality Claude skills from any source |
+
+## Resources
+
+- **Full repo:** https://git.firefrostgaming.com/firefrost-gaming/skill-seekers-reference
+- **Original:** https://github.com/yusufkaraaslan/Skill_Seekers
+- **Website:** https://skillseekersweb.com/
+- **Qdrant Docs:** https://qdrant.tech/documentation/
+
+---
+
+*Added by Chronicler #73 on 2026-04-09*