Use when asked 大模型备案怎么做, 生成式人工智能服务备案还是登记, 算法备案流程, AI 生成内容标识怎么加, 我们接了已备案的大模型还要备案吗, or prepare a generative AI product for launch in mainland China. Produces the obligations that apply (generative AI service filing, registration for apps built on a filed model, algorithm filing, AI-generated content labelling), the documents and security self-assessment to prepare, a launch checklist, and the questions for the provincial cyberspace administration, each marked to confirm.
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。
mohitagw15856/pm-claude-skills☆ 1,4412026年10月13日 更新
Use the free official .NET diagnostics CLI tools for profiling and runtime investigation in .NET repositories. USE FOR: the repo needs performance or runtime profiling for a .NET application; the user asks about slow code, high CPU, GC pressure, allocation growth, exception storms, lock. DO NOT USE FOR: replacing realistic performance tests or load tests with ad-hoc tracing alone; production heap collection when the pause risk has not been. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
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。
managedcode/dotnet-skills☆ 4862026年10月13日 更新
Pulls financial statement numbers for US public companies straight from SEC EDGAR's free official XBRL APIs (companyfacts, companyconcept, frames, submissions) into a cited table. Every value carries its accession number, form, fiscal period, filed date, XBRL tag and a link to the filing, and the tool handles fiscal-year ends, quarterly vs YTD vs TTM, derived Q4, restatements and units. Use this whenever the user wants 10-K numbers or 10-Q numbers, says "pull financials for", asks for public company revenue, net income, EPS, cash, debt or capex, wants comps or a competitor side-by-side, a credit check, prospect research, or model inputs, or mentions SEC filings or EDGAR, even if they never say XBRL. Free and primary-source, no paid data terminal needed. Do not use it for private companies, stock prices or valuation multiples.
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。
OneWave-AI/claude-skills☆ 3402026年10月2日 更新
Guides fg-data-profiling data profiling, report generation, configuration, CLI, comparison, privacy, and optional Spark/notebook integration workflows.
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。
VectorSpaceLab/AREX-Skill☆ 3322026年9月3日 更新
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Covers ePrivacy Directive Art. 5(3) cookie consent, PECR regulations, legitimate interest balancing for direct marketing, and adtech processing chain assessment. Keywords: marketing analytics, DPIA, profiling, behavioural targeting, cross-device tracking, ePrivacy, PECR, adtech, legitimate interest.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Conducts a Data Protection Impact Assessment for automated decision-making and profiling systems under GDPR Article 35(3)(a), covering algorithmic transparency, meaningful human oversight, contestation mechanisms, and Art. 22 safeguards. Activate for DPIA automated decision, profiling DPIA, algorithmic impact assessment, Art. 35(3)(a), ADM risk assessment queries.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Manages GDPR Article 22 rights related to solely automated decision-making and profiling, including identification of automated decisions, meaningful human oversight implementation, logic explanation requirements, and contestation mechanisms. Activate for automated decision, profiling, Art. 22, algorithmic decision, AI decision queries.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Managing privacy risks from AI-driven inferences about individuals including derived data classification, profiling under GDPR Art. 22, inference accuracy obligations, and controlling automated personality/behaviour predictions. Keywords: AI inference, derived data, profiling, automated predictions, GDPR.
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。
mukul975/Privacy-Data-Protection-Skills☆ 3032026年3月17日 更新
Performance optimization specialist for profiling, caching, and latency optimizationUse when "performance, latency, slow query, profiling, caching, optimization, N+1, connection pool, p99, performance, profiling, caching, latency, optimization, async, database, load-testing, ml-memory" mentioned.
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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
Exploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (over 200MB or 5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.
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。
oaustegard/claude-skills☆ 1512026年10月13日 更新
Use when filing one or more GitHub issues for planned work — "file an issue for this", "turn this plan into issues", "open a tracking issue". Covers filing everything on skyf0xx/hedgehog regardless of which repo's code changes, whether to split a plan into a tracking issue plus sub-issues, which account files the issue, labels, and acceptance criteria. For how to word an issue, see the pr-writing skill.
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。
skyf0xx/hedgehog☆ 452026年10月13日 更新
Adapt torch_npu.profiler interface for AI frameworks and training/inference code on Ascend NPU. Use this skill whenever users need to integrate profiling, add performance data collection, or instrument PyTorch code with torch_npu.profiler on Huawei Ascend NPU platforms. Triggers on: "torch_npu profiler", "NPU profiling", "Ascend profiler", "profiler adaptation", "profile training", "profile inference", "add profiler to framework", "性能采集", "profiling 数据", "昇腾 profiler", and any request to add performance monitoring to Ascend NPU 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。
kali20gakki/msAgent☆ 322026年10月12日 更新
DB格式Profiling数据场景化性能拆解:自动完成场景确认(框架/任务类型判定)、阶段拆解与单次执行边界拆解,并给出报告。Use when 需要对昇腾 Profiling DB 做阶段拆解、step 归因或生成性能报告, or when the user says "帮我按任务阶段拆解这个Profiling数据", "多层次性能耗时拆解", "分析这个 vllm/sglang/verl 数据,主要耗时都花费在哪里了"。
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。
kali20gakki/msAgent☆ 322026年10月12日 更新
Unity profiling patterns including ProfilerMarkers, FrameTimingManager, memory profiling, and performance budgets.
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。
IdoCohen560/claude-unity-game-studio☆ 222026年7月8日 更新
Drafts filing-ready Annual Reports for State Charity Bureaus with certified financials, governance disclosures, and required attachments. Extracts organizational, financial, and programmatic data from uploaded documents, researches state-specific filing requirements, and produces a penalty-of-perjury-certified report. Use when drafting charity bureau annual reports, nonprofit compliance filings, charitable solicitation renewals, or state charity registration renewals.
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。
CSlawyer1985/legal-skillhub☆ 152026年9月23日 更新
Generates a cross-referenced U.S. nonprofit annual filing package for state charity-bureau registration. Produces Full Compliance Package, Form-Field Mode, or Executive Briefing with source citations, disclosure cross-checks, and filing instructions. Trigger when the user drafts annual report submissions, renewal packets, penalty-of-perjury certifications, or charity bureau filings. Also trigger on Form RRF-1, CHAR500, BCO-10, nonprofit annual report, charity registration renewal, or fundraiser disclosure attachments.
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。
CSlawyer1985/legal-skillhub☆ 152026年9月23日 更新
End-to-end shotgun metagenomics workflow from FASTQ to taxonomic and functional profiles, orchestrating controls/host depletion, Kraken2+Bracken classification, MetaPhlAn marker profiling, and HUMAnN functional profiling. Covers the controls-first ordering, why Kraken2 read counts are not abundances and MetaPhlAn cell fractions do not equal Bracken read fractions, and the consistent-pipeline framing. Use when profiling shotgun metagenomic samples end to end, or chaining classification, abundance, and function. For resistome see metagenomics/amr-detection; for strains see metagenomics/strain-tracking; for assembly see genome-assembly/metagenome-assembly.
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。
huang-sh/DeepScience☆ 42026年7月15日 更新
Extract case numbers, parties, filing dates, court details, and relief sought from court filing documents and legal pleadings.
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。
iterationlayer/skills☆ 42026年6月9日 更新
顧客や取引先への返信案を人の承認に結び付け、承認された本文と送信先、送信結果を記録します。修正前の古い承認による送信や、複数の担当処理による重複送信を防ぐ設計です。
- 顧客への返信を承認制にしたいとき
- 承認本文と送信結果を記録したいとき
- 修正前の承認による送信を防ぎたいとき
affaan-m/ECC☆ 27.8万2026年10月12日 更新
Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.
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。
davila7/claude-code-templates☆ 3.3万2026年10月12日 更新
Compile patent application into jurisdiction-specific filing format. Use when user says "格式转换", "jurisdiction format", "国家格式", "compile patent", or wants formatted patent documents for CN/US/EP filing.
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。
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.7万2026年10月7日 更新
Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.
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。
Orchestra-Research/AI-Research-SKILLs☆ 1.4万2026年10月11日 更新
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.
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。
Jeffallan/claude-skills☆ 1.2万2026年10月4日 更新
Review open NPRM comment periods, log decisions, track deadlines. Use when an NPRM has a comment window open and you need to surface deadlines, decide whether to file, or record a filing / not-filing / waived decision (--decide CMT-ID).
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。
anthropics/claude-for-legal☆ 9,6572026年9月30日 更新