「ml」の検索結果

Build interactive presentation websites — slide decks projected to a room, controlled by one presenter. Use this skill WHENEVER the user wants to create, build, or design a presentation, slide deck, talk, or "bài thuyết trình / slide / trình chiếu", and also when they ask to add/edit slides, restyle a deck, scaffold a new presentation project, reuse their presentation setup in another repo, control slides from a phone (remote, QR code, "điều khiển slide bằng điện thoại"), or export slides to PDF — even if they don't say the word "slide" but clearly need projected talk visuals (e.g. "I'm giving a talk next week and need visuals", "dựng deck cho buổi chia sẻ", "làm mấy trang chiếu cho hội thảo"). Supports two tracks: a zero-build single HTML file, or a Vite + React project. Do NOT use it for printable documents, normal web apps, or dashboards meant for individual users to interact with.

日本語の概要は準備中です。原文の説明を表示しています。

Install, run, and fix errors from actionlint — the GitHub Actions workflow linter. Load when validating `.github/workflows/*.yml` files after migration or generation.

日本語の概要は準備中です。原文の説明を表示しています。

Azure DevOps migration to GitHub Actions — syntax mappings and the migration report template for YAML pipelines, templates, variable groups, service connections, deployment jobs, stages, conditional logic. Load with `migration-core` when migrating Azure DevOps sources to GitHub Actions.

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Catalog of common CI/CD patterns (build, test, deploy, security, quality), scan scope resolution (org-wide or specific repos), the reusable workflow template, selection criteria, and usage-documentation template. Load when detecting recurring CI/CD patterns across GitHub orgs and/or repositories to generate standardized `reusable-*.yml` workflows with corresponding `docs/<name>-usage.md` files.

日本語の概要は準備中です。原文の説明を表示しています。

Ownership-validation preflight for a warp route. For each chain in the route, determine the owner type (ICA / Safe / Squads / other multisig), confirm it exists on chain (or deploy if missing for ICAs), and reject EOAs. Run before /warp-deploy-init-route generates the deploy.yaml so the deployment never proceeds against an invalid owner set.

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Preflight that resolves which private key(s) to use for the warp-deploy chain across every protocol in the route (EVM / Sealevel / Cosmos / Starknet / Tron). For each protocol the user supplies either a specific key spec (GCP secret name, env var, or keystore path) or a candidate list of GCP secret names for the agent to surface and the user to pick. The agent never enumerates GCP secrets on its own and never reads secret values without an explicit user-approved pick. Persists the resolution to `~/.hyperlane/key-contexts/ticket-id.yaml` for downstream warp-deploy skills to auto-load.

日本語の概要は準備中です。原文の説明を表示しています。

First step of deploying a new warp route (steps 1–9). Reads a Linear ticket to extract token details and chain configuration, looks up mailbox addresses from the local registry, generates the deploy.yaml, runs the deploy, and optionally runs a send test. Follow up with /warp-deploy-update-owners.

日本語の概要は準備中です。原文の説明を表示しています。

Generic update orchestrator for an already-deployed warp route. Reads a Linear ticket describing any combination of warp-fee changes / ISM changes / hook changes / owner-address changes / additional-collateral-chain additions, edits the registry deploy.yaml accordingly, builds a per-chain strategy file from the artifact-context owner classifications, runs `hyperlane warp apply`, fork-simulates the resulting receipts via `/warp-route-check`, and hands off to `/warp-update-propose` to land the proposals. Chain extension (adding a brand-new chain with new on-chain contracts) is a separate skill — see `/warp-update-extend`.

日本語の概要は準備中です。原文の説明を表示しています。

Add a new chain to an existing warp route owned by a customer. Reads a Linear ticket, adds the new chain to the deploy.yaml, builds a customer-specific strategy file for existing chains, runs warp apply, and outputs transaction files for the customer to sign via their multisig.

日本語の概要は準備中です。原文の説明を表示しています。

Orchestrator skill that takes a warp-apply receipts directory and proposes each batch to its corresponding multisig signer — Safe Transaction Service via `safes/propose-warp-batch.ts` for EVM batches (auto-detects governance context: AW / Foundation / Regular / etc. per filename), Squads via `squads/propose-warp-batch.ts` for SVM batches. Persists a per-ticket proposal summary at `~/.hyperlane/proposals/ticket-id.yaml` so the human can track signing progress in Heimdall or Squads.

日本語の概要は準備中です。原文の説明を表示しています。

Build applications with Univer Office SDK, covering the Web SDK (browser Office editors, headless Sheets and Docs in Node), Server SDK (self-hosted OT collaboration, storage, auth, Office import/export), AI SDK (agent-operated Office CLIs, reviewable Worktrees), and Binding SDK (plain HTML pages bound to live Sheet data). Use when starting or designing any Univer-based app or choosing Univer packages, including when the user describes a spreadsheet, document, collaboration, or AI-office need without naming a Univer package.

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Transforms Claude into a CFA-level financial analyst for specialty finance, regulatory compliance, and industry-specific analysis. Use when performing private credit pricing, insurance reserving, FP&A variance analysis, wealth planning, restructuring recovery analysis, real estate valuation, venture capital analysis, ESG assessment, regulatory capital analysis (Basel III), compliance reporting (MiFID II, GIPS), credit derivatives (CDS, CVA), convertible bond analysis, lease accounting (ASC 842/IFRS 16), pension funding/LDI, sovereign risk assessment, real option valuation, equity research (SOTP, target price), commodity spread trading, treasury operations, PPP infrastructure modelling, onshore fund structuring, offshore fund structuring, transfer pricing analysis (BEPS, Pillar Two), tax treaty optimisation, FATCA/CRS compliance, economic substance analysis, regulatory reporting (AIFMD, Form PF), AML/KYC compliance, crypto/DeFi analysis, municipal bond analysis, structured products, trade finance, fund of funds (J-curve, commitment pacing, manager selection, secondaries), bank analytics (NIM, CAMELS, CECL, deposit beta, loan book), carbon markets (credit pricing, ETS, CBAM, offsets, shadow carbon price), or private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance) analysis is required. Pairs with corp-finance-mcp tools for computation.

日本語の概要は準備中です。原文の説明を表示しています。

Use the corp-finance-mcp server tools for specialty finance, regulatory, and compliance calculations. Invoke when performing private credit (unitranche, direct lending, syndication), insurance (loss reserving, premium pricing, Solvency II SCR), FP&A (variance analysis, break-even, working capital, rolling forecast), wealth management (retirement planning, tax-loss harvesting, estate planning), restructuring (recovery analysis, distressed debt), real assets (property valuation, project finance), venture capital (dilution, convertible instruments, fund returns), ESG (scoring, climate/carbon, green bonds, SLL), regulatory capital (Basel III, LCR/NSFR, ALM), compliance (MiFID II best execution, GIPS reporting), credit derivatives (CDS pricing, CVA/DVA), convertible bonds (binomial tree pricing, scenario analysis), lease accounting (ASC 842/IFRS 16, sale-leaseback), pension & LDI (funding analysis, liability-driven investing), sovereign risk (bond analysis, country risk), real options (binomial valuation, decision trees), equity research (SOTP, target price), commodity trading (spread analysis, storage economics), treasury management (cash management, hedge effectiveness), infrastructure finance (PPP models, concession valuation), crypto (token valuation, DeFi analysis), municipal bonds (pricing, credit analysis), structured products (notes, exotic), trade finance (LC, supply chain), fund structuring (US onshore, UK/EU, Cayman/BVI offshore, Luxembourg/Ireland), transfer pricing (BEPS/Pillar Two, intercompany pricing), tax treaty (treaty network optimization, holding structures), FATCA/CRS (reporting, entity classification), economic substance (multi-jurisdiction testing), regulatory reporting (AIFMD Annex IV, SEC Form PF, CFTC CPO-PQR), AML compliance (KYC risk scoring, sanctions screening), fund of funds (J-curve, commitment pacing, manager selection, secondaries pricing), bank analytics (NIM analysis, CAMELS rating, CECL provisioning, deposit beta, loan book), carbon markets (credit pricing, ETS compliance, CBAM, offset valuation, shadow carbon price), private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance). All computation uses 128-bit decimal precision.

日本語の概要は準備中です。原文の説明を表示しています。

Integrate Univer Sheets, Docs, or Slides into React, Vue 3, HTML, or Node.js projects. Use when embedding Univer, choosing preset or plugin mode, initializing instances, configuring themes/locales/workers, or manipulating workbooks, worksheets, ranges, formulas, permissions, and events through the Facade API.

日本語の概要は準備中です。原文の説明を表示しています。

Implements email service using AWS SES for .NET APIs. Designed for applications with HTML template support, placeholder replacement, and Result pattern error handling.

日本語の概要は準備中です。原文の説明を表示しています。

Design direction advisor — generates 3 differentiated visual directions with live HTML demos for selection. Use when the brief is vague ("make something nice", "pick a style", "explore directions"), when no design system exists, or when the user wants to compare visual approaches before committing. Richer than /form-style: produces actual visual demos, not just recommendations. Trigger words: "design direction", "style exploration", "pick a direction", "what should this look like", "give me options", "explore styles", "design philosophy".

日本語の概要は準備中です。原文の説明を表示しています。

Translate a design brief — structured I-Lang or plain English — into a concrete DESIGN.md and optional HTML token preview. Resolves 8 dimensions (palette, accent, typography, display font, layout, mood, density, constraints) to specific CSS tokens. Use when asked to "create a design brief", "write a DESIGN.md", "define the design system", "design brief for X", "what tokens should we use", or "I-Lang brief".

日本語の概要は準備中です。原文の説明を表示しています。

Use when asked to design an email template, newsletter, drip campaign email, transactional email, or any HTML email asset. Examples: "design a welcome email", "create a newsletter template", "make an onboarding email sequence", "design a password reset email", "build an email campaign".

日本語の概要は準備中です。原文の説明を表示しています。

Expert 5-dimension design critique — philosophical, scored, actionable. Use when asked to "critique this design", "expert review", "score my design", "how does this look", "is this good design", "design feedback", or "review this UI". Different from /form-audit (which is technical QA for consistency/compliance) — form-critique evaluates design as a craft object: philosophy, hierarchy, execution, function, and innovation each scored 0–10 with a punch list. Add "as a report" or "give me a visual report" to produce an HTML file with SVG radar chart, evidence cards, and Keep/Fix/Quick-wins action lists — useful for design reviews and stakeholder presentations instead of CLI output.

日本語の概要は準備中です。原文の説明を表示しています。

Design and implement a feature engineering pipeline for a ML problem. Use when asked to "engineer features for this model", "what features should we build", or "design feature transformations".

日本語の概要は準備中です。原文の説明を表示しています。

Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".

日本語の概要は準備中です。原文の説明を表示しています。

Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".

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Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".

日本語の概要は準備中です。原文の説明を表示しています。

Render agent findings as a styled HTML report in the browser. Use when asked for "full report", "detailed report", "show in browser", or when CLI output exceeds the 40-line budget.

日本語の概要は準備中です。原文の説明を表示しています。