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Found 3,046 Skills
Guided journey from a raw app idea to a validated, cleanly architected first version that ships on a sustainable cadence. Orchestrates ten skills phase by phase - lean-startup, design-sprint, clean-architecture, domain-driven-design, clean-code, pragmatic-programmer, system-design, ios-hig-design, 37signals-way, software-design-philosophy - asking the user questions at every decision point and recording results in the project docs/ folder (PRODUCT.md, ARCHITECTURE.md, EXPERIMENTS.md, CREATE-APP-PLAN.md) so the journey resumes across sessions. Use when the user wants to build a new app, validate an idea before writing code, architect an MVP that will not need a rewrite, or says 'help me build my app the right way'. App already exists: use improve-app or grow-app. Business idea not yet validated: run create-business first. Marketing site only: use create-website. Architecture-only question: design-code-architecture. For one framework in isolation, invoke that skill directly.
Guided journey from raw idea to a validated, positioned, priced business with a chosen beachhead. Orchestrates ten skills phase by phase - jobs-to-be-done, mom-test, design-sprint, lean-startup, good-strategy-bad-strategy, blue-ocean-strategy, obviously-awesome, hundred-million-offers, monetizing-innovation, crossing-the-chasm - asking the user questions at every decision point and recording results in the project docs/ folder (CUSTOMER.md, POSITIONING.md, OFFER.md, CREATE-BUSINESS-PLAN.md) so the journey resumes across sessions. Use when the user wants to start a new business, validate a startup idea, find product-market fit before building, or says 'I have an idea for a company'. Do not use once the business has paying customers: use grow-business to add revenue and customers, or improve-business to fix strategy and operations. For building the product itself use create-app or create-website. For one framework in isolation, invoke that skill directly.
Reconstructs the customer's real choice set, profiles direct and indirect alternatives, compares tradeoffs with evidence, and tests defensible differentiation. Use when customer-level choice, substitution, or positioning against alternatives is the blocker.
Open the app in Cursor's browser at multiple viewport sizes, screenshot each, and report any layout breakage.
Help users distinguish between deceptive tarpit ideas and high-potential opportunities by applying rigorous frameworks for market timing, business math, and user demand.
Validate Blender animation attempts before accepting them by rendering contact sheets, checking silhouette stability, flicker, framing, subject dominance, layer separation, export compatibility, and motion-design coherence. Use after animation renders or when the user says motion/morph/outside elements look bad.
career/ 에 기록된 경험 하나를 면접관 시점으로 검증하고, 파고들 자리를 되캐서 채운다. 기록이 실제로 면접에서 방어 가능한지 확인할 때 쓴다.
Help developers build and validate Block Kit layouts for Slack messages, modals, and Home tabs. Provides authoritative block references and validates with the blocks.validate API. Use this skill whenever the developer wants to compose Slack message layouts, build modals/forms/dialogs, design Home tab interfaces, create interactive messages with buttons or menus, modify existing Block Kit JSON, or asks about any Slack UI component (sections, actions, inputs, headers, alerts, tables, carousels). Also trigger when they mention "blocks", "Block Kit Builder", want to preview or see the rendered version of blocks, or paste JSON containing block structures like `"type": "section"`.
Находит неочевидные корнеры задачи через пересечение состояний, данных, порядка действий, сбоев и параллельных изменений; превращает их в ожидаемое поведение и проверяемые сценарии. Использовать перед реализацией или ревью нетривиальной продуктовой, UX- или технической задачи; при изменении stateful/async-поведения, сохранения, синхронизации, прав, интеграций и многошаговых флоу; когда пользователь просит продумать edge cases, corner cases, крайние случаи или проверить полноту постановки. Не использовать для мелких механических правок и до выбора самой задачи или масштаба решения — сначала nodumb.
Compute and report task-correct held-out metrics for a trained medical-imaging model — segmentation (Dice plus a boundary metric such as HD95 or NSD, per structure), classification (AUROC plus AUPRC and sensitivity/specificity with bootstrap CIs at the deployment prevalence), detection (FROC or mAP with a stated IoU criterion), interactive/promptable segmentation (the interaction-count, convergence, and per-case-time axes a static Dice omits), or generative/synthesis image evaluation (similarity plus the downstream-task efficacy similarity alone cannot establish) — plus calibration and subgroup slices. Emits a per-case results table that analyze-stats turns into publication tables, and gates the metric choice against Metrics Reloaded, CLAIM 2024, and Park et al. 2024 (no pixel accuracy for segmentation, no bare accuracy under imbalance, no static Dice for an interactive method, no similarity-only claim for a generative model). Numbers come only from executed code, never hand-typed.
Generate grounded-and-verified, engine-agnostic database documentation that reaches 100% parity with the real schema. Introspects the LIVE database as ground truth and cross-validates it against ORM models, migrations, generated types, seeds, and application queries, then proves completeness by diffing the docs back against the database. Produces ER diagrams (mermaid), per-table data dictionaries, and a machine-readable schema.json. Works with PostgreSQL, MySQL, SQL Server, and SQLite across any ORM (Prisma, TypeORM, Drizzle, Sequelize, Knex, Django, Rails) or raw SQL. Use when asked to document a database, produce an ERD or data dictionary, write db/schema docs, audit schema drift, or refresh existing DB docs.
Scaffold the Antithesis harness for customers running Kubernetes: Convert helm charts, kustomize templates, or raw Kubernetes manifests into a minimized set of manifests for Antithesis. Verify the Kubernetes manifests are in the correct shape with snouty validate and a local cluster deploy. Hands it off to antithesis-launch if the user wants to submit a run. At the end, the user is ready to run antithesis-workload to build tests. If the desired setup is docker-compose, defer to the antithesis-setup skill.