'arr' 검색 결과

Generate audio narration of blog posts using Google Gemini TTS. Supports summary narration, full article read-aloud, and two-speaker podcast/dialogue mode with 30 voice options. Outputs MP3 with HTML5 audio embed code. Works standalone via /blog audio or internally from blog-write. Falls back gracefully when API key is not configured. Use when user says "blog audio", "narrate blog", "audio version", "text to speech", "tts", "podcast mode", "read aloud", "audio narration", "voice", "narration", "generate audio".

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对已完成分析的视频进行导演与剪辑策划，再写带时间戳的中文解说并校验；也处理已有短片的 宣发标题、花字修订和外部文案回填。普通策划输入 work_dir 的 agent_narration_brief.md 与 vlm_analysis.json；文案返修输入当前成片的工程与内容证据。策划输出 recap_story_plan.json、visual_audio_board.json、 可选 style_card.json、cut 模式需要的 clip_plan.json，以及通过校验的 narration.json；仅宣发文案任务交付提案或回填既有包装计划。 外发说明：只有建议型评审 review.py 联网，它把旁白稿全文与理解证据、策划文件的文字摘录发到 MiMo chat 接口 （MIMO_API_KEY / MIMO_API_URL，不发视频、图片或音频）；单独使用时只在显式执行时运行，端到端编排默认在 TTS 前运行一次， 可用 --no-review-narration / REVIEW_NARRATION=0 关闭（严格评审开启时除外）；validate.py 与 lint 仅在本地运行。 触发词：解说词、写解说、视频旁白、宣发标题、花字修订、文案回填、 narration script、写稿、解说文案、剪辑思路、导演思路。

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Chunked N-D arrays with compression and cloud storage. NumPy-style indexing. Backends: local, S3, GCS, ZIP, memory. Dask/Xarray integration for parallel and labeled computation. For lineage use lamindb; for labeled arrays use xarray.

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Fix ClickHouse query errors in Rust when using clickhouse-rs crate. Use when: (1) "string is not valid utf8" errors - typically FixedString columns need CAST to String, (2) "tag for enum is not valid" errors - typically Option<T> fields receiving non-NULL values, (3) Sum/count aggregations returning Float64 but Rust expects u64, (4) LEFT JOIN results with empty strings where Rust expects Option::None, (5) "not enough data, probably a row type mismatches a database schema" - query SELECT returns fewer columns than the Rust Row struct expects (common when multiple query functions share the same struct but one function is missing columns added later), (6) Garbled/corrupted data when INSERTing to FixedString(N) columns using String Rust type - silently corrupts data (no error!) because String adds a length prefix but FixedString expects exactly N raw bytes. Fix: use [u8; N] with #[serde(with = "BigArray")] from serde-big-array, (7) "the trait bound `[u8; 64]: serde::Serialize` is not satisfied" when using [u8; N] arrays in Row structs - need #[serde(with = "BigArray")] annotation from serde-big-array crate.

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Expert guidance for Apache Arrow, the cross-language columnar memory format for analytics workloads. Helps developers use Arrow for high-performance data interchange between systems, zero-copy reads, and efficient columnar processing in Python (PyArrow) and JavaScript (Arrow JS).

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Generate audio narration of blog posts using Google Gemini TTS. Supports summary narration, full article read-aloud, and two-speaker podcast/dialogue mode with 30 voice options. Outputs MP3 with HTML5 audio embed code. Works standalone via /blog audio or internally from blog-write. Falls back gracefully when API key is not configured. Use when user says "blog audio", "narrate blog", "audio version", "text to speech", "tts", "podcast mode", "read aloud", "audio narration", "voice", "narration", "generate audio".

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🇺🇸 B2B SaaS Growth — PLG vs SLG Playbook — Diagnose whether your problem is distribution, pricing, or PMF. PLG/SLG selection by ACV and sales cycle, the 5-stage path from $0 to $10M ARR, NRR discipline, affiliate & channel motion, enterprise tiering. Built from HeyGen, Deel, Vercel, Supabase, Snowflake patterns. 🇨🇳 B2B SaaS 增长 — PLG vs SLG 决策手册 — 诊断你的瓶颈是分发、定价还是 PMF。按 ACV 和销售周期选 PLG/SLG，$0 → $10M ARR 的 5 阶段路径，NRR 纪律，联盟与渠道打法，Enterprise 分层。提炼自 HeyGen、Deel、Vercel、Supabase、Snowflake。 🇯🇵 B2B SaaS グロース — PLG vs SLG プレイブック — 課題が流通・価格・PMFのどれかを診断。ACVとセールスサイクルでPLG/SLG選定、$0→$10M ARRの5段階パス、NRR規律、アフィリエイト＆チャネル。 🇰🇷 B2B SaaS 성장 — PLG vs SLG 플레이북 — 병목이 유통·가격·PMF 중 무엇인지 진단. ACV와 세일즈 사이클로 PLG/SLG 선택, $0 → $10M ARR 5단계 경로, NRR 규율, 제휴 & 채널. Triggers: "B2B growth" | "B2B SaaS" | "PLG" | "SLG" | "product-led growth" | "sales-led growth" | "PLG or SLG" | "SaaS pricing" | "ARR growth" | "NRR" | "go to market" | "enterprise sales" | "affiliate" | "PMF" | "B2B 增长" | "PLG 还是 SLG" | "SaaS 定价" | "渠道合作" | "PLG/SLG 선택"

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This skill should be used when the user asks to "disable narrator", "turn off voice", "stop narrator", "disable voice output", "narrator off", "mute narrator", or wants to deactivate text-to-speech output.

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"Apply narrative research methods to understand human experience through stories, analyzing narrative structure, temporality, and meaning-making in life stories and oral histories. Use this skill when the user needs to analyze how people construct meaning through storytelling, examine narrative structure and plot, conduct life story or oral history research, or when they ask 'how do stories shape identity', 'how do I analyze a life narrative', or 'what does this story reveal about experience'.".

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Designing data stories and narrative-driven analytics in Salesforce: structuring CRM Analytics dashboards for executive communication, text widgets and conditional highlights for annotation, sequential narrative in Tableau Story sheets, and Einstein Discovery narrative REST endpoints. Trigger keywords: data storytelling dashboard, executive analytics narrative, CRM Analytics text widget annotation, Tableau story sheet, smart data discovery narrative API. NOT for building the Einstein Discovery story or prediction definition - use admin/einstein-discovery-setup. NOT for choosing between Reports, CRM Analytics and Tableau - use admin/einstein-analytics-basics.

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Write, validate, and (optionally) execute an NQL query against a Narrative dataset. Drafts the query from the user's question, runs `narrative_nql_validate` until it compiles, explains the query in plain English, and only runs it on explicit approval (or when invoked with `--run`). Use when: "write an NQL query for X", "query this dataset", "validate this NQL", "run NQL against dataset <id>", "how many rows match Y", "show me the top N records from <dataset>". (narrative-common)

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Register a Snowflake table or view as a Narrative dataset from SQL, with no Configuration screen and no browser. Not for installing or configuring the native app, and not for querying a dataset that already exists. Use when: "register this table as a dataset", "register a Snowflake dataset from SQL", "onboard my_table to Narrative", "script dataset registration", "add this view to my data plane". (narrative-common)

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Author and submit a Narrative workflow from a natural-language intent. Picks the closest example from `assets/examples/`, adapts it to the user's case, walks the YAML against the spec, resolves the data plane, and submits via `narrative_workflows_create` only after the user has approved the rendered spec. Use when: "create a workflow that does X", "schedule a daily refresh of dataset Y", "wrap this NQL as a workflow", "build a pipeline that creates view A then refreshes view B", "submit this workflow YAML", "productionize this query as a recurring job". (narrative-common)

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Design and review native DTOs in WordPress plugins without requiring better-data - immutable data carriers, explicit from_array hydration, strict coercion instead of unchecked casts, WP_Error validation failures, sensitive-field discipline, nested DTO arrays, and clear separation from repositories, WP models, presenters, REST controllers, and HTML views. Use when a plugin introduces FooDto, request DTOs, settings DTOs, value objects, admin-row data shapes, REST response source objects, or when reviewing code that passes raw arrays, stdClass, WP_Post, WC_Order, $_POST, post meta, or option arrays through multiple layers. Mentions better-data only as an optional higher-level library; this skill is for native implementations.

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Use when the user asks to "design our change narrative", "build the old-world-to-new-game story arc", or "frame the shift our category is undergoing"; produces a Raskin-style strategic narrative arc — old world → the undeniable shift → winners vs losers under the new rules → the promised land → proof the promised land is real — derived from the positioning truth set and the belief/objection map, feeding the TALE Architecture arc sub-item. Every proof beat is labeled Measured / User-provided / [needs source] and this skill never adjudicates a claim. Not for the message house hierarchy — use message-system-architect; not for the pitch deck narrative — use pitch-narrative-builder; not for claim substantiation — use offer-claims-registry. 变革叙事弧/旧世界/应许之地/战略叙事结构

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Use when the user asks to "author our durable brand message hierarchy", "build the brand message house that seeds the canon", or "define the main narrative, three pillars, and tagline for the whole brand"; produces the DURABLE brand message system — main narrative, three value pillars, per-persona proof points (each labeled Measured / User-provided / '[needs source]'), and the tagline/one-liner — that seeds the narrative-registry canon and from which every per-launch house derives. Not for a single launch's message house or PR-FAQ — use message-house-builder; not for claim adjudication — use offer-claims-registry; not for the change-narrative arc itself — use strategic-narrative-designer. 品牌消息屋/主叙事/三支柱/标语/持久叙事 canon

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Use when the user asks to "plan how our narrative lands on every surface", "write per-surface message-match specs", or "brief each creative builder from the canon"; maps the narrative-registry canon onto every flagship surface (homepage, pricing, store listing, sales deck, social bio, docs, email) as a per-surface message-match spec — what claim, pillar, proof, and objection reframe each surface must carry — and cuts a handoff brief to each discipline's creative builder (content-writer, ad-creative-builder, email-creative-builder, social-creative-builder, message-house-builder), so the same story lands consistently everywhere. Not for writing the finished surface copy — use each discipline creative builder; not for the tier-scoped launch asset manifest — use launch-asset-packager; not for scoring cross-surface consistency — use narrative-quality-auditor; not for claim adjudication — use offer-claims-registry. 叙事落地/逐面消息一致/创意交接简报/画布传导

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Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships.

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상품 반품 접수부터 검수, 환불, 재판매와 폐기 판단까지 지원합니다. 부정행위 징후, 보증 청구, 공급업체 비용 회수도 포함해 대응 방침을 정리합니다.

• 반품 접수 조건과 환불 방침을 확인할 때
• 반품 상품의 상태와 처리 경로를 정할 때
• 비정상적인 반품 패턴을 조사할 때

claude-mem에 쌓인 프로젝트 이력을 주별 이야기 형식의 보고서로 정리합니다. 앞선 주의 과제와 판단을 이어 받아 장기적인 작업 흐름을 추적합니다.

• 개발 경위를 주별로 돌아볼 때
• 문제 발생부터 해결까지 추적할 때
• 긴 이력을 색인이 있는 장으로 정리할 때

Review JavaScript loops and replace suitable ones with standard array and object methods. Make transformations, filtering, and aggregation easier to understand, with practical explanations and browser checks to confirm that changes preserve the intended behavior.

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• Refactoring manual loops into array methods
• Clarifying data transformation, filtering, and aggregation
• Reviewing object transformations and deep copying

Plan the visual and narrative direction of HyperFrames videos, including colors, fonts, composition, narration, and scene rhythm. The skill helps apply existing design specifications, choose a style, and check whether the finished work follows that direction.

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• Match a video's appearance to existing design specifications
• Choose colors and fonts to suit a mood
• Plan scene rhythm and narration pacing

Produce short motion graphics for animated text, numbers, charts, logos, and social overlays. Guides asset sourcing, shot design, composition, rendering, and validation, with output as an MP4 or a transparent video overlay.

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• Animate headlines and short text
• Show key numbers and charts in motion
• Create a short logo reveal

Generate narration, dialogue, sound effects, and music with ElevenLabs APIs for videos, podcasts, and games. The skill covers voice settings, pronunciation, pauses, voice cloning, and using measured audio lengths to synchronize scenes in Remotion, a video creation framework.

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• Creating narration for videos or podcasts
• Generating sound effects from written descriptions
• Composing instrumental background music