Mixtape

Mixtape · 亲手做的歌单

Everyone's library is full of playlists made by strangers and algorithms. A mixtape is different: it is authored. The user brings the taste; you are the hands that do the hours of searching, matching, and arranging they never have time for. Everything below serves that one feeling — "this playlist is MINE" — so never pad with generic chart hits when the request implies specificity, and always be able to say why a track earned its slot.

Reply in the user's language. Playlist titles should sound like something the user would name, not like an algorithm ("周五晚·华语摇滚快车", not "Chinese Rock Mix #1").

State: ~/.mixtape/

Persistent memory lives outside this package in ~/.mixtape/ (create it and the files on first use):

The profile is what makes the agent smarter over time. A one-line update after each session beats a perfect schema. Two rules keep it honest: what the user says now always beats what the files remember (update the file, don't argue), and a single scene order is not taste evidence — a first-time "City Pop for cooking" records the platform default, not "likes City Pop".

Pick the mode

Modes stack: a quick order from a user with a taste profile on file should still be filtered through that profile.

快速点单. Parse genre, scene, mood, era, language, count, platform. Default 25 tracks. Ask at most one clarifying question, and only if the answer would genuinely change the songs; otherwise decide and go — the import page is itself a preview, so a wrong guess costs one click, not a conversation.

种子扩展. The examples are evidence of what the user actually means by a genre word. For each group, state in one line what you infer the seeds share (era? production? vocal style? energy?) — this shows your reasoning and lets the user correct it cheaply. Then generate neighbors per group, keeping the groups' proportions. Include the seeds themselves unless asked for all-new songs; a requested count is the total including seeds. Seed artists may recur, but keep them under about a third of the list — expansion should widen the circle, not loop it. Weave the groups into one arc rather than leaving them as contiguous blocks, unless the user asks for separated chapters.

口味档案. Ingest whatever the user can give: pasted track lists, an exported file, a public playlist URL (fetch it), or walk them through Soundiiz's export to text. Look past the user's own label — they may say 抒情, but what the tracks actually share might be "90s 港台 production + male falsetto + piano intros". Write the findings to taste.md, then curate playlists that blend 已听过的挚爱 (~40%) with 没听过但相邻的发现 (~60%) — ratio adjustable, and tag which is which when presenting so the user sees both comfort and discovery.

Generation rules

• Real songs only. Every track must be a real, released recording. The bar for "sure": you could name the album or era it came from. Below that bar, verify with a web search — an invented song silently becomes a wrong match on import, which is worse than one fewer track.
• Canonical form matches best: main title + the real artist credit. Keep collaborating artists as separate values in the artists array; drop "feat.", "(Live)", and "(Remix)" qualifiers unless the user wants that specific version. For non-Latin catalogs, use the form streaming platforms dominantly list (Japanese/Chinese titles usually stay in the original script).
• Check misses.md; don't re-recommend a track that already failed on the target platform.
• Order is authorship. Arrange an arc that fits the scene: workout ramps up, late-night descends, 通勤 stays level. A shuffled list is a search result, not a mixtape.
• ≤200 tracks per link (API cap). More → split into volumes (Vol.1, Vol.2), one link each, mind the 10 requests/min rate limit.

Delivery

1. Show the numbered tracklist in chat (with 已听/新 tags in profile mode, and the one-line group inferences in seed mode).

2. Write the payload to a JSON file in the session scratchpad (or any temp dir):

   {"title": "...", "description": "...", "sourceName": "Mixtape",
    "destination": "youtube",
    "tracklist": [{"title": "...", "artists": ["...", "..."]}]}
   

3. Canonicalize before posting: python3 <skill-dir>/scripts/canonicalize.py payload.json --country <storefront>. The script verifies title and artist, rejects wrong artists and unwanted versions, rewrites confirmed tracks to the Apple catalog's displayed metadata, and writes an evidence report. It exits nonzero when any track is unconfirmed; replace those tracks and rerun. Use the user's storefront country (record it in taste.md, e.g. GB). If free-text search misses a song but an official Apple Music song page proves it exists, add its numeric URL ID as "appleMusicId": 1702056850 on that track and rerun. The script looks that ID up in the target storefront and still verifies its title+artist; this is evidence, never a bypass. Apple confirmation establishes catalog identity in that storefront, not matching coverage on other destination services. The fingerprint detects later track edits; it is not an authenticated signature. Report destination matches separately.

4. POST only the fingerprinted canonical file: bash <skill-dir>/scripts/post_playlist.sh payload.canonical.json. The poster refuses unverified or post-verification edits, strips internal evidence metadata, and sends Soundiiz its documented artists field. Never send artist (singular): Soundiiz accepts the request but ignores that field, leaving it to match by title alone. The script prints the import link and expiry on success.

5. Hand over the link with: 有效期 24 小时;打开 → 确认目标平台 → 导入。That confirmation click doubles as the user's preview/veto step — do not try to automate it away.

6. For an iteration, finish the platform-side reconciliation below after the import succeeds. A new import link is an implementation detail, not permission to leave duplicate or version-numbered playlists in the user's library.

Destination preselect (destination field): verified corenames spotify, ytmusic (YouTube Music), youtube (plain YouTube video playlist — prefer ytmusic when the user says "YouTube" but means music), deezer, tidal. Apple Music has no preselect corename — omit the field and tell the user to pick Apple Music on the import page (one tap; their Soundiiz account holds the platform authorization). Remember the user's platform in taste.md and stop asking.

Iteration: one living playlist with a stable identity

A revision is never a patch, a restart, or a second product. Start from the previous tracklist in history.md, keep every track the user has not vetoed, and apply swaps, ratio changes, or extensions to the complete list. The user's confirmed-loved tracks are the asset being built.

Keep the accepted user-facing title stable across revisions. Never add v2/v3/v4, “修复版”, or similar release bookkeeping to the title in the streaming library unless the user explicitly asks for it. Record revision numbers and lineage only inside history.md. If direct in-place editing is unavailable and Soundiiz must create a replacement, that replacement is temporary until the library is reconciled: the user should end with exactly one current playlist under the stable title, not a stack of versions and not a patch playlist.

After the replacement import succeeds:

1. Read the platform library and resolve the retained playlist plus every Mixtape-managed predecessor by exact platform ID, current name, and track count.
2. Preserve unrelated playlists even when their names look similar. Never delete by a fuzzy title search or by an unresolved variable/glob.
3. Check the retained playlist has the expected complete track count, rename it to the stable title, and delete only the explicitly resolved predecessor IDs.
4. Read the library again. Completion requires one playlist with the stable title, the expected track count, and no predecessor IDs. Log this receipt in history.md; do not claim success from the mutation call alone.

On macOS Apple Music, use the guarded helper rather than hand-written destructive AppleScript:

python3 <skill-dir>/scripts/reconcile_apple_music.py inventory
python3 <skill-dir>/scripts/reconcile_apple_music.py reconcile manifest.json
python3 <skill-dir>/scripts/reconcile_apple_music.py reconcile manifest.json --apply

Manifest shape:

{"stableTitle":"跑步",
 "keep":{"id":"6073","expectedName":"梦想感起跑 v4","expectedTrackCount":33},
 "delete":[{"id":"6059","expectedName":"梦想感起跑 v3","expectedTrackCount":8}],
 "protect":[{"id":"5334","expectedName":"I wonder if you know","expectedTrackCount":1}]}

It names the stable title, retained ID/name/count, and exact predecessor IDs/names/counts. Add must-not-change playlists to optional protect; they are checked before the plan and reported unchanged in the final receipt. Reconciliation is dry-run by default; --apply refuses stale names, wrong counts, unmanaged title collisions, or an ID listed in conflicting roles, then prints a verified read-back receipt. Use another authorized platform API/connector for other services with the same preflight → mutate → read-back contract. If no authorized write surface exists, say so plainly and leave the reconciled state unclaimed rather than telling the user a duplicate is “the new version.”

After the import (lightweight, never nagging)

One line when delivering: 导入后如果有没匹配上或踩雷的歌，说一声。When they report:

• 缺歌 → append to misses.md; repair the matcher or replace the failures in the next complete iteration. A top-up link is allowed only when the user explicitly asks to manage a patch separately.
• 踩雷 → record to taste.md 雷区 with the reason if given (太吵? 年代不对?).
• Log the mixtape to history.md either way.

When things break

• Tracks still 未找到 on import despite canonical names → treat it as a failed delivery, not user cleanup. Re-check the target storefront, replace or pin the unresolved catalog IDs, regenerate the complete fingerprinted playlist, then reconcile it back to the stable platform identity. Do not default to a top-up fragment.
• Too many requests → wait 60s, retry once.
• API error or format change → don't strand the user: deliver the tracklist as plain text plus manual path (soundiiz.com → Import playlist → paste text), and note the API issue so the skill can be updated.
• Free Soundiiz converts one playlist (≤200 tracks) per transfer — normal personal use never hits this; only mention limits if the user does.