Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install jmagly-aiwg-agentic-code-frameworks-media-curator-skills-media-curator-quickgit clone https://github.com/jmagly/aiwg.gitcp aiwg/SKILL.MD ~/.claude/skills/jmagly-aiwg-agentic-code-frameworks-media-curator-skills-media-curator-quick/SKILL.md---
name: media-curator-quickref
namespace: aiwg
platforms: [all]
kernel: true
description: AUTO-INVOKE when user mentions media curation, discography, archive, music collection, source acquisition, metadata tagging, Plex, Jellyfin, MPD. Media-curator framework quick reference — discovery phrases for discography analysis, source discovery, acquisition, quality filtering, metadata, archive integrity.
---
# Media Curator Framework — Quick Reference
This is your always-loaded directory for the AIWG **media-curator** framework. It does **not** list every skill. Instead, it teaches the framework's mental model and gives you **curated search phrases** that map to `aiwg discover` lookups.
## Canonical access pattern: discover → show
When you find a candidate via `aiwg discover`, fetch its body with `aiwg show <type> <name>`. **Never** use `find`, `ls`, `Glob`, or direct `Read` on `<provider>/skills/` paths — those reflect the kernel-pivot deploy state, not the full surface.
```bash
aiwg discover "<phrase>" # find — returns ranked candidates
aiwg show skill <name> # fetch — streams the SKILL.md body
```
If your platform's Skill tool errors on a non-kernel skill (expected — most aren't kernel), the fallback is `aiwg show`, never filesystem browsing. Last-resort if `aiwg` itself is broken: read directly from `$AIWG_ROOT/agentic/code/...` (the canonical corpus, always present).
## How to use this quickref
1. Identify the **capability domain** the user's need belongs to
2. Pick a **curated phrase** from that domain (or paraphrase the user's words)
3. Run `aiwg discover "<phrase>"` and surface the top match (or top-3) to the user
**Do not enumerate skills from memory.** Discovery is the lookup surface.
## What this framework is for
End-to-end media archive management: discover sources across YouTube/Internet Archive/Bandcamp, acquire with `yt-dlp`-based patterns, score quality, embed cover art, apply consistent metadata, generate gap notes for missing content, verify integrity with SHA-256, and export to platform-specific formats (Plex, Jellyfin, MPD, mobile, archival).
## Capability domains
| Domain | Covers |
|---|---|
| **Catalog planning** | Artist discography analysis, canonical catalog structure |
| **Discovery & acquisition** | Find sources, download with quality scoring, yt-dlp / Internet Archive patterns |
| **Metadata & assembly** | Tag files, embed cover art, assemble compilations |
| **Completeness & gaps** | Audit collection completeness, document missing content |
| **Integrity & export** | SHA-256 verification, platform-specific export bundles |
| **Provenance** | Track derivation chains for media files |
## Curated discovery phrases
### Catalog planning
```bash
aiwg discover "analyze artist discography" # → analyze-artist
```
### Discovery & acquisition
```bash
aiwg discover "find media sources" # → find-sources
aiwg discover "acquire media" # → acquire
aiwg discover "youtube acquisition" # → youtube-acquisition (pattern reference)
aiwg discover "archive acquisition" # → archive-acquisition (pattern reference)
aiwg discover "audio extraction" # → audio-extraction (pattern reference)
aiwg discover "quality filter media" # → quality-filtering
```
### Metadata & assembly
```bash
aiwg discover "tag media collection" # → tag-collection
aiwg discover "metadata tagging" # → metadata-tagging (pattern reference)
aiwg discover "cover art embedding" # → cover-art-embedding (pattern reference)
aiwg discover "assemble compilation" # → assemble
```
### Completeness & gaps
```bash
aiwg discover "check collection completeness" # → check-completeness
aiwg discover "gap documentation" # → gap-documentation
```
### Integrity & export
```bash
aiwg discover "verify archive integrity" # → verify-archive (score 0.73)
aiwg discover "integrity verification" # → integrity-verification
aiwg discover "export media collection" # → export (score 1.00)
```
### Orchestration & provenance
```bash
aiwg discover "curate" # → curate (end-to-end orchestrator)
aiwg discover "provenance tracking" # → provenance-tracking
```
## Workflow shape
```
analyze-artist (catalog plan) →
find-sources (discovery) →
quality-filtering (accept/reject) →
acquire (download) →
tag-collection (metadata) →
verify-archive (integrity) →
export (target platform)
```
`gap-documentation` and `check-completeness` run cross-cutting at any stage.
## Artifact directory layout
```
.aiwg/media/
├── catalogs/ # Per-artist canonical discographies
├── sources/ # Discovery output (ranked candidates)
├── acquisitions/ # Acquired files + checksums
├── gaps/ # GAP-NOTE markers for missing content
├── exports/ # Platform-specific export bundles
└── verify/ # Integrity reports
```
## When the curated phrases don't fit
```bash
aiwg discover "<your need, paraphrased>" --limit 5
```
## Anti-pattern: don't enumerate
If a user asks "what media skills are available?", **do not list from this skill**. Run:
```bash
aiwg discover --type skill --limit 20 "<their interest area>"
```