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Found 11,959 Skills
Set up and run experiments in LaunchDarkly. Create experiments with metrics and treatments, start iterations to collect data, and monitor results.
Markdown チェックリスト・YAML タスクリスト・要件定義書などからプロジェクトアイテムを一括作成する。タイトル・本文・Priority・Size をパースして `gh project item-create` + `item-edit` でフィールド設定。「要件書からアイテム作って」「タスクをプロジェクトに追加」「ロードマップを取り込んで」などで使用。
Adds, repairs, or migrates a production-grade RevenueCat plus Superwall integration in a React Native Expo app for iOS and Android. Chooses between CustomPurchaseControllerProvider and purchasesAreCompletedBy or observer-mode migration, wires Expo config and development builds, syncs identities and entitlements, handles Android base plans and offers, iOS UUID appAccountToken quirks, restore behaviour, analytics, testing, and troubleshooting. Use when the user asks to add subscriptions, paywalls, RevenueCat, Superwall, entitlements, restore flows, account switching, or monetisation migration in an Expo app. Do not use for bare React Native, RevenueCat-only UI work, or web-only billing.
High availability and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA (99.99% SLA) and adding active-passive cross-region replica clusters (99.995% SLA). Use when designing production topology, planning failover, provisioning DR, or reviewing cluster architecture.
Query and aggregation-pipeline optimization rules for Azure DocumentDB — using `explain("executionStats")` to verify index usage and avoid `COLLSCAN`. Use when reviewing a specific query, diagnosing a slow query, or validating that an index is actually being used. For full index-design workflow, see the `documentdb-query-optimizer` skill.
Security review and penetration testing: evaluate your application against OWASP Top 10, authentication security, HTTP headers, CORS, CSP, supply chain risks, and common attack vectors with browser-based validation.
Selectively pull upstream improvements from a Laravel starter kit (laravel/vue-starter-kit, laravel/react-starter-kit, laravel/svelte-starter-kit, laravel/livewire-starter-kit) into a project bootstrapped from one. Use when the user wants to update, sync, or migrate features from their starter kit. Applies one feature at a time on a dedicated branch; never auto-merges customized files.
Guides quantitative research for markets and finance—research question framing, data sourcing and quality checks, descriptive and inferential statistics, time series and panel methods (high level), factor and signal research, backtest design and pitfalls (lookahead, survivorship), risk metrics (volatility, drawdown, Sharpe limitations), regime and stress analysis, and reproducible notebooks or reports with explicit limitations and uncertainty communication. Use when the user mentions "quantitative research", "quant researcher", "factor research", "signal backtest", "time series analysis", "panel regression", "alpha research", "Sharpe ratio analysis", "survivorship bias", "lookahead bias", "econometric analysis", or "risk factor model". Not for production ML pipelines (data-scientist, ml-research-engineer), equity narrative reports (equity-research skills), SOX accounting (financial-statements), legal investment advice, or trading execution systems (senior-software-engineer).
Guides commercial contract review and negotiation support for B2B agreements—MSAs, SaaS/order forms, vendor and customer contracts, DPAs, SLAs, limitation of liability, indemnity, IP, payment terms, and redline/issue logs with business impact notes. Use when reviewing or negotiating commercial terms, comparing vendor or customer paper, drafting negotiation positions, or triaging contract risk before sign-off—not for SOC/ISO GRC programs or vendor questionnaire ops (compliance-specialist), technical audit evidence (compliance-engineer), revenue recognition under ASC 606 (senior-revenue-accountant), or product requirements (business-analyst), strategy (business-consultant). Corporate/board: corporate-counsel. AI architecture for contract review: applied-ai-architect-commercial-enterprise. M&A economics mandate: transaction-principal. Drafting assistance only; human counsel must approve.
Configure AI Config targeting rules to control which variations serve to different users. Enable percentage rollouts, attribute-based rules, segment targeting, and guarded rollouts.
Use uv as the exclusive Python package and environment manager. Use this skill when installing packages, syncing environments, running scripts, writing Dockerfiles, or doing any Python dependency management — never pip, pip-compile, or virtualenv directly.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.