「custom」の検索結果

Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user, event, and timestamp columns, or asks why users convert, churn, loop, abandon a flow, or follow particular product paths. Do not use for qualitative journey-mapping workshops or aggregate website traffic without user-level event sequences.

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。

Develops custom WordPress themes and plugins, creates Gutenberg blocks, configures WooCommerce stores, implements REST API endpoints, and applies security hardening.

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。

Builds React 18+ applications with components, custom hooks, Server Components, Suspense boundaries, state management, and performance optimization.

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。

Fine-tunes LLMs and trains custom models using LoRA/QLoRA adapters, JSONL training datasets, hyperparameter configuration, RLHF, DPO, and model quantization.

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 advanced TypeScript type systems with custom type guards, utility types, branded types, discriminated unions, and full-stack type safety with tRPC.

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。

Builds Shopify themes, develops custom apps with OAuth and webhooks, implements Storefront API integrations, and creates checkout UI extensions and Shopify Functions.

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。

Discovers and ranks tasks from GitHub, GitLab, local files, and custom sources

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。

Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, RLVR, and RLAIF trainers, including RLVR Lambda reward function and RLAIF custom prompt creation.

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。

Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

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。

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.

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。

Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "run a benchmark", "test model performance", "how did my model perform", "compare models", or other similar requests.

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, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes. Triggers on: Lambda MicroVMs, Firecracker isolation, snapshot-resumable compute, suspend/resume, sandboxed or untrusted code execution, AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, isolated security scanners, long-lived sessions, or port-listening servers (gRPC, WebSocket, custom TCP). For standard event-driven Lambda functions, use the aws-lambda skill instead.

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, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS failures) and IaC templates containing API Gateway resources. For general REST API design unrelated to AWS, do not trigger.

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。

Create, modify, and govern reusable Jira and Confluence templates, blueprints, and standardized content structures. Use for org-wide templates, custom blueprints, page layouts, and automated content 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。

Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.

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。

Create and maintain the foundational context doc (positioning, ICP, competitive landscape, brand voice, customer language) that other marketing skills read first. Use when setting up context, defining the ICP, or setting brand voice.

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。

Tailor a resume to a job description by extracting keywords, scoring match, and rewriting bullets for impact. Use when applying to a role, optimizing for ATS keyword match, or customizing a cover letter.

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。

Analyze meeting transcripts to extract decisions, action items, owners, due dates, open questions, and risks. Use after recorded meetings, sales calls, customer interviews, or planning sessions, or to build a decision log.

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。

Product manager toolkit covering RICE prioritization, customer interview analysis, PRDs, and discovery frameworks. Use for feature prioritization, user research synthesis, requirement documentation, or product strategy.

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。

Generate one-page meeting briefings from structured input (attendees, prior context, decisions needed). Use before customer calls, board meetings, or 1:1s to prepare a pre-read or briefing.

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。

Implement Stripe integrations for SaaS billing: subscriptions, checkout, proration, usage- based billing, idempotent webhooks, customer portal, dunning, and SCA. Use when building billing, handling webhooks, or testing with Stripe CLI.

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, build, and operate Kubernetes operators. Use when extending Kubernetes with a custom controller, choosing a framework, designing CRDs, implementing reconciliation loops, or auditing an operator for anti-patterns.

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 the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill package", "analyze token budget", "create subagents", "configure permissions", "set up worktrees", or "integrate Claude Code with editors". Covers Claude Code CLI mastery, skill authoring, context engineering, hooks automation, subagent creation, and development workflow optimization.

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 and maintain one coherent company story across employees, investors, customers, candidates, and partners. Use when preparing all-hands meetings, investor updates, board presentations, recruiting narratives, or crisis communications.

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。