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Back up new Audible audiobook purchases, decrypt to M4B, and append to books-library.csv. Use on "audible backup", "check new audiobooks", "sync audible library", or from weekly scheduled task.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Fetch Trakt.tv watch history (shows, movies, ratings) for analysis and recommendation workflows. Use when the user asks for show recommendations, what to watch, wants to see their watch history, or wants suggestions based on their viewing habits.
Weekly entertainment refresh: pulls Trakt watch history, checks watchlist for releases, runs show + book recs, syncs Audible purchases. Triggers: 'entertainment sync', 'weekly entertainment', 'sync trakt audible recs', 'refresh entertainment'.
Analyzes Baruch's viewing history and explicit ratings across netflix-history.csv, imdb-ratings.csv, and trakt-history.json to identify preferred genres, classify completed and abandoned shows, and rank unwatched titles by predicted interest. Generates targeted TV show recommendations with quality thresholds, searches for new releases, and tracks upcoming shows in watchlist.json. Use when Baruch asks for show recommendations, "что посмотреть", "что смотреть", or similar requests for what to watch next.
Weekly fetch of recent comments on Baruch's YouTube channel; sends a per-video summary if new comments appear, silent otherwise. Triggers: 'check youtube comments', 'youtube comment check', 'fetch youtube comments', 'review channel comments'.
Checks tracked upcoming TV shows in watchlist.json and sends a Telegram notification message via MCP when any have been released. Use when running nightly release checks, monitoring streaming release dates, or checking whether new episodes or shows from a watchlist are now available to watch. Fires nightly via its own scheduled_tasks row (post-#404).
Recommend audiobooks based on Baruch's reading history and preferences. Analyzes reading patterns, filters unread titles by genre and rating, identifies series continuations, checks for new releases from favorite authors, and suggests similar authors or highly-rated unread titles from the Audible library JSON. Use when Baruch asks for book recommendations, "what to read next", wants something similar to a specific author, or asks about his unread queue.
| name | audible-backup |
| description | Back up new Audible audiobook purchases, decrypt to M4B, and append to books-library.csv. Use on "audible backup", "check new audiobooks", "sync audible library", or from weekly scheduled task. |
Process steps in order. Do not skip ahead.
Call the mcp__nanoclaw__run_sidecar MCP tool with { name: "audible-backup", flags: ["--dry-run"] }.
Parse the response. If new_books is 0 or books array is empty, stop here. For a scheduled or wrapper invocation (weekly cadence, entertainment-sync): finish silently — no message. For a direct user invocation: report "No new Audible purchases".
If the tool errors (auth failure, Docker issue), report the error and stop.
Otherwise proceed immediately to Step 2.
If Step 1 found new books, call mcp__nanoclaw__run_sidecar with { name: "audible-backup", flags: [] } to download and decrypt them.
Parse the response. Note which books succeeded (status: "ok") and which failed.
Proceed immediately to Step 3.
Pipe the full backup response JSON to the CSV append script:
echo '<JSON>' | python3 /home/node/.claude/skills/tessl__audible-backup/scripts/csv-append.py
The script decides which books are eligible to append — the contract lives in its top-of-file docstring. Outputs a JSON summary: appended, skipped_existing, skipped_failed, csv_total, books.
Proceed immediately to Step 4.
Send a message summarizing what was downloaded. Format:
<b>Audible Backup</b>
• <b>Title</b> by Author (Series Name #N) — HH:MM
• <b>Title</b> by Author — HH:MM
N new books added to library (total: M).
Durations in the message are HH:MM — drop the seconds from the tool's
HH:MM:SS duration value.
The no-new-books case never reaches this step — Step 1 already stopped (silently for scheduled runs, with "No new Audible purchases" for user-initiated ones).
Finish here — the skill is complete.
The full CSV column ↔ JSON field mapping table lives at:
skills/audible-backup/field-mapping.md