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Implement Apollo.io webhook and event-driven integrations. Use when receiving Apollo notifications, syncing data on changes, or building event-driven pipelines from Apollo activity. Trigger with phrases like "apollo webhooks", "apollo events", "apollo notifications", "apollo webhook handler", "apollo triggers".

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。

Handle Apple Notes data formats: HTML body, attachments, and rich content. Trigger: "apple notes data 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。

Comprehensive Apollo.io migration strategies. Use when migrating from other CRMs to Apollo, consolidating data sources, or executing large-scale data migrations. Trigger with phrases like "apollo migration", "migrate to apollo", "apollo data import", "crm to apollo", "apollo migration 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。

Migrate to Claude API from OpenAI, Gemini, or other LLM providers. Use when switching from GPT-4 to Claude, migrating from Text Completions, or building a multi-provider abstraction layer. Trigger with phrases like "migrate to claude", "openai to anthropic", "switch from gpt to claude", "multi-provider llm".

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。

Apollo.io data management and compliance. Use when handling contact data, implementing GDPR compliance, or managing data exports and retention. Trigger with phrases like "apollo data", "apollo gdpr", "apollo compliance", "apollo data export", "apollo data retention", "apollo pii".

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。

Optimize Claude API performance with prompt caching, model selection, streaming, and latency reduction techniques. Use when experiencing slow responses, optimizing token usage, or reducing time-to-first-token in production. Trigger with phrases like "anthropic performance", "claude speed", "optimize claude latency", "anthropic caching", "faster claude responses".

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。

Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

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 data privacy, PII handling, and compliance patterns for Claude API. Use when handling sensitive data, implementing PII redaction, or configuring data retention for GDPR/CCPA compliance with Claude. Trigger with phrases like "anthropic data privacy", "claude PII", "anthropic gdpr", "claude data handling", "redact data claude".

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。

Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

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。

Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth. it uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. use this skill when the u... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

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 and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like "analyze throughput", "optimize capacity", or "identify bottlenecks".

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。

Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".

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 or review an Algolia search architecture across source data, indexing, query, UI, events, and operations. Use when establishing system boundaries or evaluating an existing integration. Trigger with "Algolia architecture", "design search platform", or "review Algolia integration".

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 isolated Algolia development, staging, preview, and production targets with explicit promotion rules. Use when environments share credentials or index names, or previews need bounded search data. Trigger with "Algolia environments", "Algolia staging setup", or "preview index".

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。

Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. Use when an integration is slow or wasteful. Trigger with "optimize Alchemy performance", "cache Alchemy data", or "reduce Alchemy latency".

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。

Classify Alchemy authentication, JSON-RPC, Data API, throughput, and partial-response failures before applying bounded recovery. Use when an Alchemy integration fails or degrades. Trigger with "Alchemy error", "Alchemy 429", or "debug an Alchemy request".

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 audit the data lifecycle for records and user events sent to Algolia. Use when minimizing indexed fields, handling deletion requests, or documenting retention and privacy boundaries. Trigger with "Algolia privacy", "delete Algolia user data", or "index data review".

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 local synthetic rehearsal for customer-owned Abridge workflow adapters and failure states. Use when developing integration code without access to patient data or a documented public Abridge sandbox. Trigger with "create an Abridge dev loop".

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 and enforce repository, runtime, data, spend, endpoint, and approval guardrails without guessing secret formats or content-policy rules. Use when the task requires adobe policy and execution guardrails. Trigger with "Adobe guardrails", "block unsafe Adobe calls", or "Adobe policy checks".

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 and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows. Use when the task requires adobe data custody and privacy review. Trigger with "Adobe data handling", "PDF privacy", or "Firefly content policy".

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 ONLY for abstract DataChain SDK questions — API usage, method signatures, or code patterns — when no specific dataset or bucket is referenced. If the request mentions creating, saving, listing, exploring datasets or buckets, use datachain-knowledge 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。

Reverse-engineers any app into a recon map: screen inventory, user flows, component list, inferred data model and a feature matrix, from public pages, screenshots, app store listings, help docs and the user's own account. The first step of the Replica pack. Use when the user says "clone this app", "reverse engineer X", "how does X work", "map out X", "what screens does X have", "I want to build my own version of X", "copy this app", or pastes an app's URL or App Store link and wants to rebuild it.

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。

Plans the stack, database schema and API for an app clone, from the recon map replica-recon wrote. Picks boring, managed tech, turns the inferred data model into real SQL with indexes and access rules, lists every route by flow, and orders the build as a thin vertical slice first. Use when the user says "plan the clone", "what stack should I use", "design the database", "write the schema", "plan the API", "architecture for my version of X", or after /replica-recon finishes.

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。

Find opportunities to add metrics and estimate numbers when exact data unavailable

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。