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skills/collection-review/SKILL.md
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--- name: "collection-review" description: "Full audit of your collection, patterns, taste profile, gaps, and what your library says about you" --- # What Does Your Library Say About You? A comprehensive review of your entire collection. Patterns, taste evolution, thematic clusters, blind spots, and the personality of your library. ## Workflow ### Step 1: Map the Full Territory Pull everything: ``` get_stats() # Size, composition, media breakdown get_by_rating(min_rating=5) # The all-time favorites get_by_rating(min_rating=4) # The broader "loved it" tier get_by_rating(max_rating=2) # What didn't land get_by_status(media_type, status="unread") # The backlog (all types) get_timeline() # When things were added get_signals() # Behavioral patterns get_context() # Broader context ``` If the user asked about a specific media type or focus area, concentrate there. Otherwise, go wide. ### Step 2: Find the Patterns Using the **collection-insights** skill, analyze systematically: **Thematic clusters:** Search for recurring themes across media types: ``` search(media_type="book", query="isolation") search(media_type="movie", query="isolation") # Repeat for themes that emerge from the top-rated items ``` **Creator loyalty:** Which authors, directors, artists, and studios appear multiple times? **Era preferences:** When were the items in the collection made? Where does it cluster? **Genre gravity:** Where does the collection mass? What genres dominate, what's sparse? **Rating patterns:** What do the 5-star items share? What do the low-rated items have in common? Is there a generous or harsh rating tendency? **The backlog:** What's sitting unread/unwatched? Is there a pattern to what gets deferred? ### Step 3: Identify the Gaps What's conspicuously absent: - Entire genres they avoid - Eras they skip - Obvious works in genres they love that aren't present - Media types that are thin relative to others Frame gaps as curiosity, not criticism: "You have deep coverage of [area] but almost nothing in [related area]." ### Step 4: Build the Taste Profile Synthesize everything into a profile, if this collection were a person, who would they be? What preoccupies them? What do they reach for when they need comfort vs. when they want to be challenged? ### Step 5: Present the Review ## Output Format ``` ## Your Library **[N] items** across [media types], [one-line characterization of the collection's personality] --- ### The Numbers | Media Type | Total | Completed | Backlog | Avg Rating | |-----------|-------|-----------|---------|------------| | Books | [n] | [n] | [n] | [n]/5 | | Films | [n] | [n] | [n] | [n]/5 | | Albums | [n] | [n] | [n] | [n]/5 | | Shows | [n] | [n] | [n] | [n]/5 | | Anime | [n] | [n] | [n] | [n]/5 | ### What Your Collection Says [2-3 paragraphs characterizing the collection's personality. Be specific , reference actual titles. This should feel like an observation about the person, not a database summary.] ### The Throughlines **[Theme 1]**: appears in [Title A] (book), [Title B] (film), [Title C] (album) [1-2 sentences on how this theme manifests differently across media] **[Theme 2]**: [same structure] **[Theme 3]**: [same structure] ### Your Favorites Tell a Story [Analysis of the highest-rated items. What do they share? What does the "best of" shelf reveal about what moves this person?] ### The Evolution [How taste has shifted over time, based on timeline data. Early additions vs. recent additions. Any notable pivots or deepening interests.] ### The Blind Spots [What's absent. Frame as discovery opportunities, not deficiencies.] - **[Gap 1]**: [What's missing and why it's interesting given what IS present] - **[Gap 2]**: [Same] ### The Backlog [What's sitting unread/unwatched. Any patterns? Any items that deserve to be bumped up the queue given recent taste?] "Based on your recent ratings, **[unread title]** should probably move up your list." --- ### Taste Profile > **In a sentence:** [One-line characterization, "You're drawn to stories about > [theme] told through [style], with a blind spot for [gap] and a soft spot for [weakness]"] ``` ## Notes - The collection review is the most data-intensive command. Pull everything before synthesizing. - Specific titles make this feel real. "You like dark stories" is useless. "You gave 5 stars to No Country for Old Men, Blood Meridian, and There Will Be Blood, you're drawn to the American West as a space where morality dissolves" is an insight. - The taste profile sentence at the end should feel like a revelation, not a summary - If the collection is small (under 20 items), note that patterns will be provisional - For very large collections, focus on the signal (high ratings, recent additions) rather than trying to characterize everything
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