Implements financial records retention requirements across EU directives (5-7 years), SOX Section 802 (7 years), MiFID II (5-7 years), tax records, payment data, and AML obligations under AMLD. Maps financial data categories to statutory retention periods with cross-jurisdictional reconciliation. Activate for financial retention, SOX records, MiFID retention, AML retention, tax record keeping queries.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
mukul975/Privacy-Data-Protection-Skills☆ 3132026년 3월 17일 업데이트
Retrieve financial data for market and company analysis, including stocks, forex, crypto, financial statements, and economic indicators. Access over 20 years of historical data and more than 50 technical indicators, which summarize price and trading patterns.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Collect historical stock prices for analysis
- Compare company financial statements
- Track forex and crypto prices
sickn33/agentic-awesome-skills☆ 4.8만2026년 10월 19일 업데이트
Test an idea, strategy, or investment against 11 future time horizons, from six months to 50 years. Compare scenarios with probability ranges, identify structural risks, and review or update the underlying world models.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Testing an investment thesis across time horizons
- Reviewing long-term risks to a business model
- Updating future scenarios after major events
danielmiessler/LifeOS☆ 2만2026년 9월 4일 업데이트
Audit citations in a LaTeX paper against online sources. Verify that references exist, bibliographic details are accurate, and each cited work supports the surrounding claim, then produce reports with findings and proposed corrections.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking references before paper submission
- Verifying authors, publication years, and venues
- Checking whether cited papers support manuscript claims
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.8만2026년 10월 17일 업데이트
Matches a user’s biomedical research direction, disease problem, study aim, data modality, and resource constraints to the most relevant recent algorithms and method papers. Always search real recent algorithm literature first, prioritize the last 12 months, expand to 1–3 years only when needed, and add canonical baselines only when necessary. Every formal algorithm recommendation must include the verified primary method paper, plus published downstream papers that actually cite/use the algorithm when such papers are found, with DOI when available. Never fabricate papers, algorithm names, authors, journals, years, DOI, PMID, links, or benchmark claims. If no directly verified algorithm paper is found, say so explicitly.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aipoch/medical-research-skills☆ 2천2026년 9월 17일 업데이트
List year, make, model, trim, or variant options for cascading vehicle dropdowns using the CarsXE YMM Options API. Use this when the user wants available years, makes, models, trims, or which years a vehicle was sold — not full specs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
hashgraph-online/awesome-codex-plugins☆ 1.3천2026년 10월 18일 업데이트
Scaffold an emergent project from observed children's interests using Reggio-inspired approaches. Use when following children's fascinations into deeper inquiry in early years or primary settings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GarethManning/education-agent-skills☆ 8782026년 8월 29일 업데이트
Alpha Vantage — Financial Market Data workflow skill. Use this skill when the user needs Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
diegosouzapw/awesome-omni-skills☆ 1622026년 7월 8일 업데이트
Alpha Vantage — Financial Market Data workflow skill. Use this skill when the user needs Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
diegosouzapw/awesome-omni-skills☆ 1622026년 7월 8일 업데이트
Scaffold an emergent project from observed children's interests using Reggio-inspired approaches. Use when following children's fascinations into deeper inquiry in early years or primary settings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
nota-america/forgecat-agent-profiles☆ 912026년 9월 24일 업데이트
The Endocrine Society recommends a standard-dose corticotropin (ACTH) stimulation test to confirm primary adrenal insufficiency when clinical suspicion arises from symptoms such as hypotension, hyponatremia, hyperkalemia, or unexplained fatigue. Dosing is weight/age based: 250 µg for adults and children ≥2 years, 15 µg/kg for infants, and 125 µg for children <2 years.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
dromlakhani/MD2SKILL☆ 142026년 10월 5일 업데이트
Use when a research note system needs architecture, when MOCs, frontmatter standards, and retrieval patterns must be designed for years of work, or when an existing vault has outgrown its structure and must migrate without breaking years of links.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OnourImpram/claude-code-for-social-scientists☆ 22026년 9월 6일 업데이트
공장의 설비, 인력, 자재, 납기를 고려해 생산 순서를 검토합니다. 작업 전환과 공정별 부하를 조정하고 설비 고장이나 자재 부족 시 계획 수정을 돕습니다.
- 제한된 설비에서 생산 순서 검토
- 설비 고장 후 계획 재수립
- 생산 묶음 크기와 전환 비용 비교
affaan-m/ECC☆ 28.3만2026년 10월 16일 업데이트
상품 반품 접수부터 검수, 환불, 재판매와 폐기 판단까지 지원합니다. 부정행위 징후, 보증 청구, 공급업체 비용 회수도 포함해 대응 방침을 정리합니다.
- 반품 접수 조건과 환불 방침을 확인할 때
- 반품 상품의 상태와 처리 경로를 정할 때
- 비정상적인 반품 패턴을 조사할 때
affaan-m/ECC☆ 28.3만2026년 10월 16일 업데이트
Organize invoices and receipts by extracting dates, vendors, amounts, and descriptions from PDFs and images. Create consistent filenames, sort copies into folders, and produce a CSV summary for accounting, expense tracking, or tax preparation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Sorting invoices and receipts for tax preparation
- Categorizing monthly business expenses
- Preparing a CSV summary for an accountant
ComposioHQ/awesome-claude-skills☆ 7.7만2026년 9월 18일 업데이트
Run demanding neural-trader backtests, parameter comparisons, and model training in an Anthropic Managed Agent cloud container. Estimate costs, test inputs on a small run, collect performance metrics and CSV files, and verify signed results before storage.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Testing trading strategies over several years
- Comparing many parameter combinations
- Training LSTM or Transformer models in the cloud
ruvnet/ruflo☆ 7.7만2026년 10월 18일 업데이트
Assess a company’s management through public statements, delivered commitments, crisis decisions, and use of company funds. Produce evidence-based scores for integrity, strategy, capital allocation, and governance, alongside a verdict on long-term trust.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Check whether executives delivered on past commitments
- Review acquisitions, buybacks, dividends, and new ventures
- Assess ownership, compensation, and related-party dealings
HKUDS/Vibe-Trading☆ 3.6만2026년 10월 18일 업데이트
Guide product strategy for growing companies by assessing customer fit, product investment priorities, and team structure. Produces scorecards, portfolio recommendations, organization proposals, and board reporting materials to support decisions about what to build and fund.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Defining a product vision for the next three to five years
- Assessing product fit using retention and customer feedback
- Choosing which products to invest in, maintain, or retire
alirezarezvani/claude-skills☆ 2.8만2026년 8월 30일 업데이트
Collect and update 68 US economic and social indicators, then summarize trends over ten, five, two, and one years. Produce a report covering relationships between indicators, unusual patterns, and topics that warrant further research.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Refreshing US economic and social indicators
- Comparing short- and long-term economic trends
- Examining relationships across prices, jobs, and housing
danielmiessler/LifeOS☆ 2만2026년 9월 4일 업데이트
Use Gemini to discover research papers through related problems and alternative terminology. Results are organized into a table with publication details, code links, and short summaries, with filters for year, venue, and available code.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Discover papers beyond an exact keyword match
- Find research papers with open-source code
- Find papers from selected years or venues
wanshuiyin/Auto-claude-code-research-in-sleep☆ 1.8만2026년 10월 17일 업데이트
Organize invoices and receipts by extracting dates, vendors, amounts, and descriptions from PDFs and images. Create consistent filenames, sort copies into folders, and produce a CSV summary for accounting, expense tracking, or tax preparation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Sorting invoices and receipts for tax preparation
- Categorizing monthly business expenses
- Preparing a CSV summary for an accountant
composio-community/awesome-codex-skills☆ 1.7만2026년 7월 26일 업데이트
Evaluate partners and opportunities by asking whether trust, knowledge, and reputation can build over ten years. This skill provides questions for weighing quick returns against lasting cooperation in which everyone benefits.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Assessing a potential long-term business partner
- Weighing quick returns against reputation
- Planning actions that build trust over time
kangarooking/cangjie-skill☆ 1.1만2026년 10월 2일 업데이트
Make AI truly understand large codebases: for multi-repository, multi-microservice projects that have evolved over years, run architecture reverse-engineering + a Graph RAG graph + multi-language AST to compress a huge codebase into a structured knowledge base, where every conclusion traces back to a code line and every relation carries a confidence label. Suited to projects with 10+ repositories or microservices that AI cannot understand globally by reading the code directly. Triggers: architecture analysis, architecture reverse-engineering, codebase knowledge base, code-to-knowledge, architecture wiki, large multi-repo codebase. Loaded on demand by the teamai discovery stub.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tencent/teamai-cli☆ 5.6천2026년 10월 18일 업데이트
Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
tradermonty/claude-trading-skills☆ 3.1천2026년 10월 18일 업데이트