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Found 1,523 Skills
Build an evidence-based competitive pricing strategy for ecommerce products. Use when a seller asks how to position a price against competitors, set regular and promotional prices, protect contribution margin, design bundles or price tiers, respond to competitor moves, or coordinate prices across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not use for automated repricing implementation or claims of a mathematically proven optimal price without sufficient data.
This skill should be used when the user asks to "animate an SVG", "make a line draw itself on", "do a stroke draw-on / signature animation", "morph one shape into another", "move an element along a path", "animate an icon/logo", or "animate an SVG gradient or filter". Covers stroke-dashoffset draw-on, path morphing, motion-along-path, and animated icons/gradients/filters via CSS, SMIL, and GSAP.
A skill for writing and revising Japanese business documents to make them easy to read and understand. It can be used for creating and proofreading business documents such as meeting minutes (including transcribing to minutes), research/analysis reports, internal guides/manuals, research notes, discussion papers, proposals, reports, emails, and slide outlines, as well as following instructions like 'write from the conclusion', 'clarify the argument', 'keep headings concise', and 'explain technical terms in an easy-to-understand way'. It also supports removing AI-like tones (direct, indirect, or colloquial feedback such as 'AI-like', 'unnatural', 'make it more natural Japanese', 'mechanical', 'make it sound human', 'monotonous', or phrasing like 'it would be possible to...', as well as cases where the document was said to be written by AI or suspected of being so), improving hard-to-read or unclear sentences (such as incorrect word order, long sentences, unclear meaning, incorrect comma placement, etc.), writing new note articles, blog posts, and essays (including requests to write from scratch on any topic), rewriting and polishing existing sentences, diagnosing and scoring AI-like tones (requests without rewriting, such as 'Did AI write this?', 'Score the AI-like tone', 'Judge how AI-like this is'), and requests to learn and profile one's own writing style (including requests to write in one's own style by reading past sentences). It also addresses readability principles such as removing forbidden words, avoiding monotonous rhythm, homogeneous paragraph structure, literal translation of English syntax, as well as word order, commas, one meaning per sentence, and the distance between subject and predicate. The structuring of technical documents or formatting of Markdown itself (such as one sentence per line, quote blocks, footnote notation, etc.) is not covered—this falls under another skill, and this skill specializes in the naturalness, readability, and comprehensibility of text.
Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.
Create a session handoff for another agent, or resume, find, and read any user-selected continuity source. Use when work or conversation must continue without access to the current session history.
Apply the Zoen Builder Ethos when building, reviewing scope, choosing completeness vs shortcuts, deciding whether to search or invent, or when model recommendations conflict with the user's stated direction. Use when the user mentions boil the lake, lake vs ocean, search before building, user sovereignty, generation-verification, first principles vs fashion, "do the complete thing", Golden Age, Iron Man suit, XP quality vs speed, or /builder-ethos. Other skills and workflows should load this as preamble for build/review work.
Interview the founder once and write a docs/gtm-cofounder/founder-brief.md that every other skill reads first, so the advice is about their real business, not a textbook. Use this before anything else, or whenever the agent lacks context on the founder's product, ICP, market, or stage, or is giving generic GTM advice.
Comprehensive guide for building with Prisma 8 (Prisma Next), the contract-first data layer. Use whenever working on Prisma code in a project that uses it — authoring or editing the data contract (contract.prisma, PSL, TypeScript builders), migrations, queries (db.orm / db.sql), runtime wiring (db.ts, middleware, DATABASE_URL), build-tool integration, Supabase / RLS, reading PN-* structured errors, or filing feedback — and for orientation questions like "what is Prisma Next" or comparisons to other ORMs. Signals that this skill applies: @internal/* imports, prisma-next.config.ts, contract.prisma / contract.json / contract.d.ts, the prisma-next CLI, PN-* error codes. Does not apply to Prisma ORM 7 or earlier (schema.prisma + @prisma/client projects).
When the user has raw customer interview transcripts, survey responses, support tickets, or other qualitative data and needs to extract actionable insights.
goodcase.ai (Good Case) AI Viral Case & Prompt Query Skill. Trigger this Skill whenever users search for AI viral cases, good cases, 'how was this image made', 'how to generate this kind of video', 'find a prompt for XX', 'are there any ready-made prompts', 'Veo cases', 'Jimeng cases', 'Midjourney cases', 'Kling cases', 'Seedance cases', 'GPT Image cases', 'AI image cases', 'AI video cases', 'AI programming UI cases', 'AI copywriting cases', 'viral prompts', 'recreate this effect', 'prompt for this effect', 'AI case', 'viral AI examples', 'AI prompt examples', 'how was this AI image/video made', 'find me a prompt for X', or any other AI creation case/prompt query. It should also be triggered even if users only say 'what interesting AI cases are there', 'give me a prompt I can copy', 'what AI images are trending lately'. The Skill directly pulls real case data (including complete Prompt, stability score, cost band) via curl from a public REST API, no API Key required. **Err on the side of over-triggering**—if you make up a case or Prompt based on training data when users ask for AI creation cases, you're providing fake cases and prompts which are harmful to users.
Rebuild an existing site's pages with byte-faithful content on a separately-defined donor design system — another live site, or local static HTML prototypes (Figma donors are contract-defined, not yet implemented). Content fidelity is gated byte-level (text, ordered images, SEO metadata); design application is flexible (content re-laid-out onto donor modules). Use when the user says "reskin my site with this design", "apply this design system to my content", "restyle my site to look like <other site>", "new design, same content", "rebrand my site using these prototypes", or names a content site plus a design donor. NOT for redesigning from intent (that's the stardust core extract/direct/prototype chain) and NOT for keeping the current design while migrating (that's the replica flow).
Convert natural language questions into safe executable SQL to query Ascend PyTorch Profiler / msprof database for operator time consumption, communication, dispatch, and other performance data. Supports table schema extraction from official documentation. Use this skill when the user wants to: (1) analyze Ascend profiling database, (2) query operator performance data, (3) analyze communication and dispatch bottlenecks, (4) check table schema for profiling data. Trigger: user mentions "profiler db", "sqlite", "sql", "table", "schema", "ascend-pytorch-profiler", "msprof", "operator time", "communication time", "dispatch analysis", "性能分析", "算子耗时", "数据库查询", "性能数据", "性能瓶颈"