add pipeline task system, agentic music tasks, copy buttons, and pi-bridge cleanup
- Pipeline mode: new task mode that chains agentic tasks sequentially with foreach/subdirectory iteration and skip_if conditions - Pipeline executor backend (WebSocket at /api/tasks/pipeline/ws) with support for both Pi and Claude Code models - Frontend PipelineRunner component with step progress, streaming output, and aggregate cost tracking - New agentic tasks: prepare-discography, fetch-album-info, build-discography (pipeline combining both) - Seed parser extended to handle pipeline steps in frontmatter config - CopyButton component added to assistant bubbles, error bubbles, and tool input/output sections - Removed obsolete SearXNG/Apify/browser relay code from pi-bridge Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.6
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---
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name: Build Discography
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description: Identify all albums in an artist folder, rename directories, fetch detailed info and cover art for each.
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version: 1
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mode: pipeline
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triggers:
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- type: directory
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inputs:
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artist_name:
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type: string
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description: Artist / band name
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autofill: entry_name
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steps:
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- task: prepare-discography
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inputs:
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artist_name: ${artist_name}
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- task: fetch-album-info
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foreach: subdirectory
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skip_if: album-info.md
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inputs:
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artist_name: ${artist_name}
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album_name: ${folder_name}
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---
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---
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name: Fetch Album Info
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description: Search the web for album information and save a detailed info file.
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version: 1
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mode: agentic
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triggers:
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- type: directory
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inputs:
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artist_name:
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type: string
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description: Artist name
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autofill: entry_name
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album_name:
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type: string
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description: Album name
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autofill: entry_name
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---
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# Fetch Album Info
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You are given an artist name and album name. Your job is to find comprehensive information about this album from the web.
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## Process
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1. **Search** for the album using `web_search` with queries like `"<artist> <album> wikipedia"`, `"<artist> <album> musicbrainz"`, `"<artist> <album> allmusic"`.
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2. **Fetch** the most relevant pages using `web_fetch` to extract detailed information.
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3. **Cross-reference** multiple sources to get the most accurate and complete data.
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4. **Download** the front cover image and save it as `cover.{ext}` (matching the image format, e.g. `cover.jpg`) in the target directory. Overwrite if it already exists.
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5. **Save** the result as an `album-info.md` file in the target directory (provided in Context).
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## Information to collect
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- **Artist** name (canonical/correct spelling)
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- **Album** title (canonical/correct spelling)
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- **Release year** (original release)
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- **Genre(s)** and subgenres
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- **Label** / record company
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- **Tracklist** — for each track: number, title, duration. For multi-disc releases, organize by disc.
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- **Total duration**
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- **Front cover image URL** — find the highest quality cover art URL available (Wikipedia, MusicBrainz cover art archive)
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- **Credits** — producer, engineer, notable musicians (if available)
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- **Additional notes** — compilation info, remaster details, notable facts
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## Output format
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Write a markdown file named `album-info.md` in the **target directory** (from Context) with this structure:
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```markdown
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# Artist — Album Title
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| Field | Value |
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|-------|-------|
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| Artist | ... |
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| Album | ... |
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| Year | ... |
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| Genre | ... |
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| Label | ... |
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| Duration | ... |
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## Tracklist
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### Disc 1
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| # | Title | Duration |
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|---|-------|----------|
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| 1 | ... | 0:00 |
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### Disc 2
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...
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## Credits
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- Producer: ...
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- ...
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## Notes
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...
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```
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If there is only one disc, omit the "Disc 1" heading and just use a flat tracklist.
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## Cover art download
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Once you have a cover image URL, download it to the target directory using curl:
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```
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curl -sL -o "<target_dir>/cover.<ext>" "<image_url>"
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```
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Use the correct extension based on the image format (jpg, png, etc.). Overwrite any existing file.
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In the `album-info.md`, keep the original remote URL in the image tag: ``.
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## Important
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- Prefer Wikipedia for context, genre classification, credits, and tracklist data.
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- Use MusicBrainz / Cover Art Archive for high-quality cover image URLs and precise edition identification.
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- Use AllMusic as an additional source for credits and reviews.
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- If information conflicts between sources, prefer Wikipedia for metadata and MusicBrainz for tracklist data.
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- Do NOT make up information. If something is not found, omit it.
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---
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name: Prepare Discography
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description: Scan an artist's album folders, identify exact release editions, and produce a discography summary.
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version: 1
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mode: agentic
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triggers:
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- type: directory
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inputs:
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artist_name:
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type: string
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description: Artist / band name
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autofill: entry_name
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---
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# Prepare Discography
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You are given an artist/band directory containing one subfolder per album. Your job is to identify the **exact release edition** of each album and produce a `discography.md` summary file.
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## Why this matters
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Album folders often contain special editions, anniversary reissues, deluxe multi-disc sets, etc. A naive search for "The Doors 1967" returns the original 11-track release, but the folder might contain a 50th Anniversary 3CD edition with 30+ tracks. You must identify the **specific edition** the user has.
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## Process
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For each album subfolder in the artist directory:
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### 1. Analyze local signals
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Gather as much information as possible from the folder itself **before** searching the web:
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- **Folder name**: often contains year and album title, sometimes edition hints like `(3CD)`, `(Deluxe)`, `(Remaster)`
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- **Disc structure**: count `CD1/`, `CD2/`, etc. subdirectories — this tells you how many discs the release has
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- **Track count per disc**: list audio files in each disc folder (or root if single-disc)
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- **Track names**: the filenames often contain track titles (e.g. `01 - Break on Through.flac`)
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- **Audio tags**: use the `mutagen` tool with `action: read` on 1-2 representative tracks per disc to get tagged metadata (artist, album, year, genre, label, etc.)
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- **Existing files**: check for `album-info.md`, `Front.jpg`, `cover.jpg`, or `Scans/` — these provide additional context
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### 2. Build a search profile
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From the local signals, construct a profile:
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- Artist name (from tags or folder name)
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- Album title (from tags or folder name)
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- Release year (from tags or folder name)
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- Number of discs
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- Track count per disc
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- Any edition keywords (deluxe, remaster, anniversary, etc.)
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### 3. Search for the exact release
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Use `web_search` to find the specific edition:
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- Search Wikipedia first: `"<artist> <album> wikipedia"` — Wikipedia often has edition/reissue details
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- Search MusicBrainz: `"<artist> <album> musicbrainz"` — MusicBrainz catalogs every pressing and edition
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- If the disc/track count doesn't match the first result, refine: `"<artist> <album> deluxe 3CD"` or similar
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- Use `web_fetch` on the most relevant pages to confirm the tracklist matches your local files
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### 4. Confirm the match
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Compare the web result against local signals:
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- Does the disc count match?
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- Does the track count per disc match (approximately)?
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- Do track names align?
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- If there's a mismatch, search for alternative editions until you find the best match
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### 5. Rename the album folder
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Once you have confidently identified the release, rename the album folder to the standardized format:
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```
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[YYYY] Album Title (Edition Marker)
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```
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- **YYYY** = original release year (NOT the reissue/special edition year)
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- **Album Title** = canonical album name
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- **Edition Marker** = only if it's not the standard original release. Examples: `50th Anniversary 3CD Deluxe Edition`, `2017 Remaster`, `Deluxe Edition`
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- If it IS the plain original release, omit the parenthetical: `[1967] The Doors`
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Use `mv` via Bash to rename. Do this **before** writing discography.md so the file references the new folder names.
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## Output
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Write a `discography.md` file in the **artist directory** (the target directory from Context) with this structure:
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```markdown
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# Artist Name — Discography
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## Albums
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### [YYYY] Album Title (Edition Marker)
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- **Folder**: `[YYYY] Album Title (Edition Marker)/`
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- **Format**: FLAC / MP3 / Mixed
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- **Discs**: N
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- **Tracks**: N (or N per disc: D1: X, D2: Y, ...)
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- **Year**: YYYY (original release) / YYYY (this edition)
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- **Label**: ...
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- **Genre**: ...
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- **Edition**: 50th Anniversary Deluxe Edition / Original / Remaster / etc.
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- **Wikipedia**: https://en.wikipedia.org/wiki/... (if found)
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- **MusicBrainz**: https://musicbrainz.org/release/... (if found)
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- **Notes**: ...
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### [YYYY] Another Album
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...
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```
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Sort albums chronologically by original release year.
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Include **direct URLs** to the sources used (Discogs release page, Wikipedia article, MusicBrainz release) — these will be used by downstream tasks to avoid redundant searching.
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## Important
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- **Accuracy over speed**: it's better to correctly identify 3 out of 4 albums than to guess all 4 wrong
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- **Wikipedia and MusicBrainz are your primary sources** for edition identification
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- **Use mutagen sparingly**: read 1-2 tracks per disc, not every file
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- **Track count is the strongest signal** for distinguishing editions — a 3CD set with 10+12+8 tracks is very different from a single-disc 11-track original
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- **Folder name hints**: `(3CD)`, `(2LP)`, `(Deluxe)`, `(Remaster)`, `(Anniversary)` in the folder name are strong clues
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- **Do NOT make up information**. If you cannot confidently identify an edition, note what you found and flag the uncertainty
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- The artist name in the folder may be formatted as `Last, First` or `Name, The` — normalize it when searching (e.g. `Doors, the` → `The Doors`)
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@@ -20,6 +20,17 @@ All task inputs defined in the TASK.md frontmatter are available to the script i
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Inputs provided by context (e.g. `file_path` from the file browser) are auto-filled and hidden from the form.
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### Autofill
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Inputs can declare `autofill` to pre-fill from the trigger context. Available context values:
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| Value | Source |
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|-------|--------|
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| `entry_name` | Name of the file or directory that triggered the task |
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| `entry_path` | Full path of the file or directory |
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Autofilled inputs are visible and editable (unlike `file_path` which is hidden).
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## Templates
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### 1. File Processor
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@@ -180,6 +191,7 @@ inputs:
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type: string # string, number, boolean
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description: What this input is
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default: value # optional — default value
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autofill: entry_name # optional — pre-fill from context (entry_name or entry_path)
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options: # optional — renders as selectable pills in UI
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- option1
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- option2
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