「processor」の検索結果

On-site and remote vendor audit procedures per GDPR Article 28(3)(h). Covers audit planning, evidence collection methodologies, finding classification, remediation tracking, and audit report generation for processor compliance verification.

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。

Guides ISO 27701 Privacy Information Management System implementation extending ISO 27001/27002. Covers Clause 5 PIMS-specific requirements, Clause 6 PIMS guidance for ISO 27002, Clause 7 PII controller guidance (Annex A), Clause 8 PII processor guidance (Annex B), gap assessment, and certification path. Keywords: ISO 27701, PIMS, privacy management system, ISO 27001 extension, certification, Annex A, Annex B.

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。

Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors. Activate when verifying RoPA completeness, validating mandatory fields, or preparing for supervisory authority inspections. Keywords: RoPA, Article 30, records audit, processing activities, controller records, processor records.

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 this skill whenever the user wants to read, create, or edit Korean Hangul Word Processor documents (.hwp or .hwpx files). Triggers include any mention of 'hwp', 'hwpx', '한글 문서', '아래한글', '한컴오피스', or uploading/attaching .hwp/.hwpx files. Also use when extracting text from Korean reports or producing Korean-formatted official documents (공문, 보고서, 계약서, 사업계획서). Do NOT use for Word .docx files (use the docx skill instead) or general Korean text without Hangul Word Processor format. ⚠️ SECURITY: if the task fills a form with personal data (주민등록번호·계좌·연락처·주소 등), LOAD THIS SKILL FIRST — before any `ls`/`cat`/`Read`/`grep` of the working dir or home — and NEVER directly cat/Read/grep a profile or 내정보 file (e.g. ~/.claw-hwp/profile.txt), even "to check it". Its SECURE FILL flow reads values in-process only; reading them yourself leaks them into context.

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 vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums, zero commissions), debugging data pipelines, or optimizing Pandas performance. Keywords: data_processor.py, Excel, CSV, Pandas, merge, deduplication, date normalization.

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 AI invoice processing systems. TRIGGERS - Use when user needs help with ai-invoice-processor related tasks.

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 document processing pipelines for extraction and routing. TRIGGERS - Use when user needs help with ai-document-processor related tasks.

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 AI batch processing systems for scale. TRIGGERS - Use when user needs help with ai-batch-processor related tasks.

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 AI audio processing pipelines. TRIGGERS - Use when user needs help with ai-audio-processor related tasks.

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。

Reviews Web Audio API JavaScript/TypeScript code for correctness, thread safety, and deprecated patterns. Use when the user asks to review AudioWorklet code, check an AudioWorkletProcessor, audit Web Audio graph construction, or diagnose crackling/dropouts in a web audio app. Trigger on phrases like "review my Web Audio code", "check my AudioWorklet", "is my AudioWorkletProcessor safe", or "why does my web audio crackle".

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。

Reviews VST3 plugin implementations for spec compliance, host compatibility, and correctness. Use when the user asks to review a VST3 plugin, check bus arrangements, audit parameter handling, or verify their process() callback is safe. Trigger on phrases like "review my VST3 plugin", "check VST3 bus arrangement", "is my VST3 process safe", "audit my IAudioProcessor", or when you see IComponent, IAudioProcessor, IEditController, ProcessData, or Vst:: namespaced types in the code.

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。

Step-by-step guide for building Web Audio processing pipelines — AudioWorklet processors, custom nodes, parameter automation, and WebMIDI integration. Use when the user asks how to build or wire up Web Audio code from scratch. Trigger on phrases like "build an AudioWorklet", "create a custom Web Audio effect", "how do I use WebMIDI", "how do I write an AudioWorkletProcessor", or "how do I connect AudioNodes".

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。

Sales enablement, technical presales and deal acceleration for B2B SaaS revenue teams. Use this skill when planning outbound campaigns, running discovery calls, building deal strategy, creating battle cards, writing proposals, responding to RFPs, preparing a product demo, scoping a proof of concept or pilot, answering a security questionnaire or the AI annex buyers now attach to it, executing sales sequences, coaching qualification, or deciding what the website's AI chat agent is allowed to say. Also triggers on: outbound, cold outreach, reply handling, reply classification, out-of-office replies, auto-replies counted as replies, our reply rate is inflated, prospect replied remove me, opt-out by reply, is this list ready to send, launch readiness, CRM segment outbound, we emailed a current customer, outbound hit an open opportunity, ownerless leads, deal strategy, pipeline, battle card, proposal, RFP, discovery call, MEDDPICC, sales sequence, qualification, sales engineer, solutions engineer, presales, demo plan, demo script, POC, proof of concept, pilot success criteria, technical evaluation, technical win, security questionnaire, vendor security review, SOC 2 questionnaire, AI security questionnaire, AI annex, AI vendor due diligence, the buyer is asking if we train on their data, do you train on customer data, which model do you use, model provider sub-processor, AI subprocessor disclosure, where does inference run, can the customer turn the AI feature off, AI-CAIQ, CSA AI Controls Matrix, ISO 42001, ISO/IEC 42001, NIST AI RMF, EU AI Act Article 50, are we a provider or a deployer, AI feature disclosure, our model vendor changed and nobody told the buyer, technical objection, mutual action plan, MAP, close plan, mutual close plan, buyer enablement, the deal is stalled, deal stalled after the demo, how do I get this deal to close, close date keeps slipping, JOLT, buyer indecision, no-decision loss, website chatbot, chat widget, AI chat agent, AI SDR, inbound AI SDR, conversational marketing, live chat, what should our chatbot be allowed to say, our chatbot quoted the wrong price, the bot promised a discount, do we have to disclose it is AI, EU AI Act chatbot disclosure, chatbot handoff to sales, chat transcript review, prompt injection on our chatbot, Drift, Qualified, Intercom.

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。

Task-sized forensic analysis of Vivado synthesis and routed timing evidence for processor RTL. Use when Codex must trace a named setup or hold path, audit whole-design timing populations, compare implementation runs, map primitive, LUT, CARRY, BRAM, DSP, MUXF, register, and routed-net stages back to Chisel or generated RTL, distinguish logic from routing pressure, identify missing DCP queries, or write an evidence-backed timing report. This skill is read-only by default and stops at ranked modification directions. Use optimize-chisel-fpga-timing for RTL edits and routed A/B implementation closure.

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 backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).

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 WordPress' HTML API for safe server-side HTML inspection and mutation instead of regex, fragile string replacement, or DOMDocument. Covers WP_HTML_Tag_Processor, WP_HTML_Processor, set_attribute, remove_attribute, add_class, remove_class, set_modifiable_text, serialize_token, custom data attribute name mapping, and WP 6.9 behavior where attribute/text setters escape character references. Use when plugin code modifies rendered HTML, block output, shortcodes, content filters, widget markup, email fragments, or user-provided HTML.

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 AI invoice processing systems. TRIGGERS - Use when user needs help with ai-invoice-processor related tasks.

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 document processing pipelines for extraction and routing. TRIGGERS - Use when user needs help with ai-document-processor related tasks.

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 AI batch processing systems for scale. TRIGGERS - Use when user needs help with ai-batch-processor related tasks.

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 AI audio processing pipelines. TRIGGERS - Use when user needs help with ai-audio-processor related tasks.

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。

Guide for adult content payment processor selection, merchant account application, compliance, webhook integration, and fallback strategies (CCBill, SegPay, AllSecure, Epoch, Telegram Stars, crypto)

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。

ZMK Firmware (オープンソースキーボードファームウェア) リファレンス。 Getting Started (hardware, user-setup, customization, zmk-cli)、 Features (bluetooth, split keyboards, encoders, displays, lighting, pointing, studio, low-power)、 Keymaps (keycodes, modifiers, combos, conditional layers)、 Behaviors (タップ・ホールド、レイヤー、マクロ、tap-dance, sticky-key)、 Input Processors、Hardware Integration、Troubleshooting (building, flashing, connection, hardware issues)。

NVIDIA CUDA GPU 並列コンピューティングリファレンス。 CUDA C++ / CUDA Python, kernel, nvcc, Unified Memory, CUDA Graphs, Cooperative Groups, Driver API, マルチ GPU。 PTX ISA 命令セット, state space, MMA 命令。 Blackwell チューニング, Streaming Multiprocessor, NVLink。 CUTLASS / CuTe DSL / CuTe C++ GEMM, Tensor Core, tcgen05, Operator API, nsight-compute, compute-sanitizer。

Convert an existing find-XXXX SKILL.md into a preprocessor Python script, updating configs/<GAMEVER>.yaml and removing the old SKILL.md. Covers xref-string-based and LLM_DECOMPILE-based discovery 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。