Routes DI-engine users to the right workflow for CLI/config launches, serial and framework-based RL pipelines, and environment integration.
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Routes DI-engine users to the right workflow for CLI/config launches, serial and framework-based RL pipelines, and environment 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。
Operate the Bindu agent microservice framework: Python bindufy agents, A2A protocol, security, gRPC SDKs, deployment, Gateway, and Inbox.
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 Aim for experiment tracking SDK instrumentation, local/remote run storage, CLI/UI/server workflows, storage maintenance, and ML framework logging integrations.
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。
Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or two most likely area pages; compare candidates by capability, task surface, model/data format, training versus inference versus evaluation intent, runtime constraints, and root-skill description; then open only the selected root and relevant sub-skills, references, or scripts. Select multiple repositories only when each adds a distinct capability. Do not load the whole collection, treat dependencies or incidental integrations as capabilities, choose by name alone, or force a match when no exact taxonomy family applies.
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。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
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 you have a spec, design doc, structured plan, or prompt_plan and need to generate a pipeline Graphviz DOT file for headless autonomous building. The agent reads the spec, extracts build pipeline phases, determines tech stack, asks about human gates and model preferences, generates a validated DOT digraph with rich self-contained prompts, and saves it to the project root. Handles any language or framework.
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 or update an Agent Skill that teaches consumers one npm or local package the user maintains, including framework modules and wrappers. Tests each example against the installed version. Use when a maintainer asks for a package Skill, a SKILL.md for their library, or a Skill update after a release.
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 liquid markets with a strict ICT/SMC framework that combines multi-timeframe bias, liquidity sweeps, displacement, close-confirmed MSS/BOS, FVG/OB/Breaker/OTE retracements, premium-discount location, session timing, invalidation, targets, and risk-to-reward. Use for ICT chart reviews, live-market analysis, OHLCV scans, or validating a user's trade thesis. Return an auditable setup status and conditional plan; do not use for generic indicator analysis, order execution, or claims of proven institutional intent.
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 the core attributes of the current code repository and its projects — languages, frameworks, tooling, and where things live — and writes a concise reference section directly into the project's AGENTS.md or CLAUDE.md for other skills, agents, and hooks to consume. Use when scanning, analyzing, or detecting the project's technology stack, build tools, or repository structure. Does not create or update project documentation — use project-documentation for writing feature or system docs.
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。
End-to-end AI video production skill for agentic frameworks. Use when the user asks to make, edit, repurpose, caption, soundtrack, or export videos using HeyGen avatars, Seedance or ByteDance b-roll, OpenAI image generation and editing, AI UGC ads, Remotion, HyperFrames, screen recordings, FFmpeg, captions, ElevenLabs music, Suno, or social-video variants.
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。
Deeply research technical architecture, source code, mechanisms, SDKs, frameworks, project comparisons, and system-design options across repositories, history, official docs, issues, discussions, and high-quality community signals. Use when the user asks for deep research, source-level understanding, architecture comparison, mechanism satisfaction, or evidence for designing a system. Always map the question and obtain confirmation before beginning substantive research; skip for simple factual lookups or straightforward implementation 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。
Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers assessment of third country legal frameworks, supplementary measures evaluation, and TIA scoring. Activate for international data transfers, SCCs, third-country adequacy, or Chapter V compliance. Keywords: TIA, Schrems II, transfer assessment, EDPB, supplementary measures, SCCs, international transfer.
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。
Vendor certification acceptance criteria and equivalence mapping. Covers ISO 27701, SOC 2 Privacy, APEC CBPR, EU Code of Conduct evaluation, certification scope analysis, gap supplementation requirements, and cross-framework equivalence assessment.
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。
Implementing the IAB Transparency and Consent Framework v2.2 for programmatic advertising consent management. Covers CMP registration, Global Vendor List integration, TC String encoding, publisher restrictions, and compliance validation.
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 building a multi-jurisdiction privacy compliance matrix for organisations operating across multiple countries. Covers common requirements identification, jurisdiction-specific deltas, gap analysis, and harmonised control frameworks. Keywords: multi-jurisdiction, compliance matrix, harmonised controls, gap analysis, jurisdiction mapping.
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。
Kentucky Consumer Privacy Protection Act (KPPA) compliance. Effective January 1, 2026. Covers consumer rights, controller thresholds at 100,000 consumers, sensitive data processing consent, cure period provisions, and AG enforcement framework.
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。
Implementation guide for secure multi-party computation enabling privacy-preserving analytics across organizations. Covers secret sharing, garbled circuits, reference frameworks MP-SPDZ and CrypTen, practical deployment patterns, and GDPR alignment for joint controller analytics without revealing individual party inputs.
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 compliance with South Korea's Personal Information Protection Act (PIPA, 개인정보 보호법). Covers pseudonymisation framework, notification requirements, PIPC enforcement, consent standards, and cross-border transfer rules under the 2023 amendments. Keywords: PIPA, Korea data protection, PIPC, pseudonymisation, consent, cross-border transfers.
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。
Decision framework for choosing between consent and legitimate interest as the lawful basis for processing. Covers power imbalance indicators, conditionality prohibition under Article 7(4), granularity requirements, the three-part LIA test (purpose, necessity, balancing), and practical decision trees for common scenarios.
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 compliance with India's Digital Personal Data Protection Act 2023. Covers consent manager registration, data fiduciary obligations under Sections 4-7, significant data fiduciary requirements under Section 10, data principal rights, and Board enforcement framework. Keywords: DPDP Act, India data protection, consent manager, data fiduciary, significant data fiduciary, data principal rights.
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 GDPR certification mechanism implementation per Articles 42-43 including accredited certification body selection, certification criteria per EDPB guidelines, certification scope, periodic audit requirements, seal and mark usage rules, and relationship to codes of conduct. Covers EDPB/ENISA certification framework and national accreditation. Keywords: GDPR certification, Article 42, Article 43, certification body, EDPB, seal, mark, accreditation.
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。
Framework for evaluating and selecting Consent Management Platforms (CMPs). Covers TCF v2.2 certification requirements, Global Privacy Control support, multi-regulation compliance (GDPR, CCPA, LGPD), A/B testing capabilities, API integration options, reporting features, and a structured vendor comparison methodology.
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。
Complete CCPA/CPRA compliance implementation covering California Civil Code §1798.100-199. Includes consumer rights framework, business obligations, service provider and contractor requirements, enforcement mechanisms, and CPPA rulemaking. Triggers on CCPA, CPRA, California privacy, consumer rights.
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。
Technical architecture guide for building a multi-purpose consent preference center. Covers per-purpose granularity, easy withdrawal under Article 7(3), version history, audit trails, and IAB Transparency and Consent Framework v2.2 integration. Includes database schema, API design, and UI component specifications.
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。