Loading...
Loading...
Found 171 Skills
Text analytics using LLM APIs — sentiment analysis, customer feedback classification, document entity extraction, multi-language support (English/Luganda/Swahili), feedback aggregation, and NLP feature implementation for PHP/Android/iOS. Sources...
Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching".
从Eureka专利数据库查询专利著录项目（Bibliography）信息，包括标题、摘要、申请人、发明人、分类号、优先权、引用文献等。当用户提到专利著录项目、专利基本信息、专利标题摘要、专利申请人发明人、专利分类号、IPC分类、CPC分类、专利代理、审查员、优先权、引用文献、关联文件、预估到期日、patent bibliography, patent basic info, patent title and abstract, patent applicant/inventor, patent classification, IPC/CPC, patent agent, patent examiner, priority claims, cited references, related documents, estimated expiry, Eureka patent data时触发此技能。即使用户未明确提及"Eureka"或"著录项目"，只要其需求涉及查询专利的基础著录信息（标题、摘要、申请人、分类号等），也应触发此技能。
Strategic advisory for digital health and healthtech founders covering HIPAA scope, FDA SaMD vs non-SaMD classification, EHR integration patterns, payor/provider/employer GTM, and value-based care models. Complements the RA/QM compliance domain with software-side strategic guidance. Use when scoping a healthtech idea, classifying PHI, picking a GTM, or when the user mentions HIPAA, PHI, FDA SaMD, EHR integration, telehealth, or digital therapeutics.
Geochemistry data analysis and visualization for igneous, metamorphic, and sedimentary rocks. Use when Claude needs to: (1) Create ternary diagrams for compositional data, (2) Plot REE spider diagrams with normalization, (3) Build TAS or other classification diagrams, (4) Apply log-ratio transforms to compositional data, (5) Calculate CIPW norms, (6) Generate Harker variation diagrams, (7) Compute element ratios and anomalies.
Use when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls for human genomic variants.
This skill should be used when the user asks for a cryptographer, cryptography review, help to choose a cipher (AES-GCM, ChaCha20-Poly1305, ECDH, RSA tradeoffs), key management, PKI design, TLS configuration, protocol security or handshake review, authenticated encryption, digital signature scheme design, post-quantum migration at architecture level, ProVerif or Tamarin modeling concepts, nonce reuse or IV misuse analysis, HKDF vs password hashing (Argon2), HSM or KMS usage patterns, secure randomness, side-channel and constant-time requirements, or cryptographic agility and algorithm deprecation—not general OWASP web app review only (information-security-engineer), secure coding checklists without crypto depth, Solidity or smart contract audits, blockchain wallet tracing, legal export classification, or shipping custom production crypto without design and review gates.
End-to-end pipeline from unlabeled ml_app traces to a bootstrapped evaluator suite. Runs trace classification → root cause analysis → eval bootstrap in sequence with user checkpoints. Use when user says "run the eval pipeline", "go from traces to evals", "bootstrap evals end to end", "classify then RCA then bootstrap", "build an eval set from scratch", or wants a guided walkthrough from production data to evaluator code.
BaoStock A-share Data Platform, free and open-source, supports queries for stock quotes, K-lines, financial data, industry classification, and index constituent stocks; used when users need to obtain A-share historical quotes, financial statements, trading calendars and other data
Write an API versioning strategy document for a service or API platform. Use when asked to define versioning policy, plan API deprecation, classify breaking changes, or document version lifecycle. Produces a complete versioning strategy with breaking-change classification table, deprecation timeline, migration guide template, and client communication template.
Use when designing error handling, retry policies, timeout behavior, or failure classification in Python. Also use when code swallows exceptions, loses error context across boundaries, has unbounded retries, silent failures, or lacks idempotency guarantees on retried writes.
Analyze emotion — mood classification, energy, valence, genre detection