「cases」の検索結果

Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.

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Generate pytest test cases for Python functions and classes

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Turn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like "improve X" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.

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Scaffold a first eval suite for an agent: mine real failures into cases, write behavioural checks over traces, and generate the runner. Use when the user wants evals, regression tests for an agent, a golden set, or asks how to know a prompt/model change did not break things. Do NOT use for a single task's done-check (goal-test) or for auditing context (context-audit).

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Use when captions, subtitles, or the spoken text of a YouTube video is needed — even if not explicitly requested: pasted video links or IDs, requests to read, quote, or translate a video, accessibility needs, deaf/HoH use cases, content review, or language learning. Fetches timestamped caption data from any YouTube video. Not for uploading subtitles or account management.

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Simple scroll-triggered reveal animations using AOS (Animate On Scroll). Use this skill when building marketing pages, landing pages, or content-heavy sites requiring basic fade/slide effects without complex animation orchestration. Triggers on tasks involving scroll animations, scroll-triggered reveals, AOS, simple animations, or basic scroll effects. Alternative to GSAP ScrollTrigger and Locomotive Scroll for simpler use cases. Compare with motion-framer for React-specific animations.

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Deprecated compatibility entry for Use Case Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Use Case Page.

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Capture a 2-3 line pitch from the user, draft a product overview (PRD.md) and a technical design (ARCHITECTURE.md) for a third-party `.ppmplugin` native control, then walk through every operation's iOS + Android implementation strategy with opinionated recommendations (library choice, hosting, key APIs, edge cases) and capture the agreed spec in ARCHITECTURE.md §3.<n>. The depth of ARCHITECTURE.md is what lets the scaffold skill generate complete working code instead of TODO placeholders. Iterates with the user until they approve both docs. Optionally seeds from a design doc / FRD URL. PRD.md + ARCHITECTURE.md are the source of truth for every downstream skill (generate, build, assemble). Run this BEFORE any code is generated.

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Generate real estate, architecture, and interior design showcase video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants property tours, real estate listings, architecture showcases, interior design videos, home staging content, property marketing, virtual tours, construction reveals, or any real estate/architecture video. Triggers on: real estate, property, house, apartment, architecture, interior design, home tour, listing video, property marketing, virtual tour, building, construction, renovation, home staging, or any real estate/architecture video request. Use even for "make a video for my listing" or "showcase this property.

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Generate fashion lookbook, model showcase, and style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants fashion video content, lookbook videos, model walks, outfit showcases, style guides, fashion campaigns, runway clips, streetwear content, or any fashion/clothing video. Triggers on: fashion video, lookbook, model showcase, outfit, style guide, fashion campaign, runway, streetwear, collection launch, fashion ad, clothing video, OOTD, fashion film, or any fashion/model video request. Use even for "show off this outfit" or "fashion content for my brand.

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Generate e-commerce product advertisement video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants product ads, e-commerce videos, product showcases, unboxing, product demos, shopping ads, fashion ads, beauty ads, food ads, or any commercial product video for online selling. Triggers on: product ad, e-commerce, product showcase, Amazon video, Shopify ad, Instagram shop, TikTok shop, product commercial, fashion video, beauty ad, food ad, product demo, dropshipping video, or any product promotional video request. Use even for "make a video for my product" or "product promo.

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Generate food and beverage video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants food videos, recipe content, restaurant promos, beverage ads, cooking videos, food ASMR, menu showcases, food delivery ads, café content, or any food/drink video. Triggers on: food video, recipe, cooking, restaurant, beverage, food ad, food ASMR, menu, café, cocktail, food photography video, appetite appeal, food styling, mukbang, or any food/drink video request. Use even for "make my food look delicious" or "restaurant promo video.

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Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.

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Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that requires gathering logs and system information from multiple nodes.

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HR business partnership across talent strategy, org development, and employee relations. Use when building workforce plans, designing performance reviews, resolving employee relations cases, or advising leadership on org change.

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Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or "how to create good evaluation data." Outputs datasets in OpenJudge-compatible format.

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Verification-first methodology for the Special Tribunal for Lebanon. Citations are verified against the STL legacy archive and legal-tools.org. Covers the Ayyash et al. case, the two contempt cases (STL-14-05 New TV/Al-Khayat and STL-14-06 Akhbar Beirut/Al-Amin), and the 2011 terrorism decision. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

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Verifies UK case-law citations, pinpoint references and quotations against the official public register — The National Archives' Find Case Law — and statutory references against legislation.gov.uk, before a document that cites them is relied on, served or filed. Every check returns a graded verdict: VERIFIED, MISMATCH (the citation resolves to a different case — the classic AI miscitation), NOT ON REGISTER, OUTSIDE COVERAGE (the register cannot answer — absence proves nothing), or UNCHECKABLE (a law-report citation). The grading exists because there are two ways to get this wrong: citing a case that does not exist, and accusing a real case of not existing. Use when asked to check citations, verify a case exists, confirm a quotation is verbatim, check a pinpoint paragraph, audit a draft's authorities, screen a document for hallucinated cases, or check a statutory provision is in force. Not a substitute for reading the judgment: existence is not authority.

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Verification-first methodology for the Special Court for Sierra Leone and its Residual Special Court. Citations are verified against rscsl.org and legal-tools.org. Covers Taylor, the AFRC/CDF/RUF cases, the child-soldier and forced-marriage holdings, the head-of-State immunity decision, and the fixed-term (no life) penalty regime. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

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Compliant, retrieval-grounded research over investor-State dispute settlement (ISDS) awards and decisions. Use when the user asks about ICSID / investment-treaty arbitration cases, awards, or doctrines (fair and equitable treatment, expropriation, jurisdiction, costs, annulment, etc.) and wants answers grounded in the actual document text with pinpoint citations. Identifies the correct document on the case page, confirms it against the PDF's own first pages, retrieves primary documents on demand from ICSID, PCA, etc., never scrapes or hosts a corpus in violation of applicable terms, and cites only retrieved text.

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Argentine Supreme Court citation network analysis using JurisRank — a peer-reviewed PageRank algorithm with temporal decay for measuring jurisprudential authority. Ranks precedents by citation influence, traces doctrinal evolution, and detects constitutional drift. Published methodology: JCLLT (DOI: 10.47852/bonviewJCLLT62027951). Activate with: which cases to cite, rank precedents, case authority, doctrinal evolution, Argentine Supreme Court, CSJN jurisprudence, citation network, leading case, legal research Argentina.

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Verification-first methodology for Section I (War Crimes) of the Court of Bosnia and Herzegovina. Citations are verified against the Court of BiH, the ICTY/IRMCT archives and OSCE. Distinguishes ICTY-referred (Rule 11 bis) cases from locally-initiated ones; covers Stanković, Janković and the Maktouf lex mitior ruling. Research aid, not legal advice. Part of the open-source "Skills for International Justice" library — methodology: github.com/jeannesulzer/international-criminal-tribunals-skills

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Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.

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Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".

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