数据处理
数据转换、清洗与 ETL
results-analysis
Galaxy-Dawn
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing. Provides comprehensive guidance for analyzing ML/AI experimental results and generating paper-ready content.
clay-architecture-variants
Dicklesworthstone
Choose and implement Clay validated architecture blueprints for different scales. Use when designing new Clay integrations, choosing between monolith/service/microservice architectures, or planning migration paths for Clay applications. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay project layout", "clay microservice".
apollo-webhooks-events
Dicklesworthstone
Implement Apollo.io webhook handling. Use when receiving Apollo webhooks, processing event notifications, or building event-driven integrations. Trigger with phrases like "apollo webhooks", "apollo events", "apollo notifications", "apollo webhook handler", "apollo triggers".
apollo-security-basics
Dicklesworthstone
Apply Apollo.io API security best practices. Use when securing Apollo integrations, managing API keys, or implementing secure data handling. Trigger with phrases like "apollo security", "secure apollo api", "apollo api key security", "apollo data protection".
clay-multi-env-setup
Dicklesworthstone
Configure Clay across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Clay configurations. Trigger with phrases like "clay environments", "clay staging", "clay dev prod", "clay environment setup", "clay config by env".
mcp-servers-guide
nirholas
Comprehensive guide to MCP (Model Context Protocol) servers — the standard for connecting AI agents to tools. Covers architecture, transport types, tool/resource/prompt primitives, security, and how to build, deploy, and discover MCP servers for any use case.
apollo-migration-deep-dive
Dicklesworthstone
Comprehensive Apollo.io migration strategies. Use when migrating from other CRMs to Apollo, consolidating data sources, or executing large-scale data migrations. Trigger with phrases like "apollo migration", "migrate to apollo", "apollo data import", "crm to apollo", "apollo migration strategy".
lstm-price-prediction-guide
nirholas
Guide to LSTM-based cryptocurrency price prediction. Covers data preprocessing, feature engineering, LSTM architecture, training, evaluation, and deployment. Includes TensorFlow/Keras implementation with technical indicators and sentiment features.
apollo-data-handling
Dicklesworthstone
Apollo.io data management and compliance. Use when handling contact data, implementing GDPR compliance, or managing data exports and retention. Trigger with phrases like "apollo data", "apollo gdpr", "apollo compliance", "apollo data export", "apollo data retention", "apollo pii".
clay-migration-deep-dive
Dicklesworthstone
Execute Clay major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Clay, performing major version upgrades, or re-platforming existing integrations to Clay. Trigger with phrases like "migrate clay", "clay migration", "switch to clay", "clay replatform", "clay upgrade major".
clay-known-pitfalls
Dicklesworthstone
Identify and avoid Clay anti-patterns and common integration mistakes. Use when reviewing Clay code for issues, onboarding new developers, or auditing existing Clay integrations for best practices violations. Trigger with phrases like "clay mistakes", "clay anti-patterns", "clay pitfalls", "clay what not to do", "clay code review".
clay-data-handling
Dicklesworthstone
Implement Clay PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for Clay integrations. Trigger with phrases like "clay data", "clay PII", "clay GDPR", "clay data retention", "clay privacy", "clay CCPA".
clay-reliability-patterns
Dicklesworthstone
Implement Clay reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Clay integrations, implementing retry strategies, or adding resilience to production Clay services. Trigger with phrases like "clay reliability", "clay circuit breaker", "clay idempotent", "clay resilience", "clay fallback", "clay bulkhead".
security-automation
Ed1s0nZ
安全自动化的专业技能和方法论
performance-profiling
HeshamFS
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
ontology-mapper
HeshamFS
Map materials science terms, crystal structures, and sample descriptions to ontology classes and properties. Supports any ontology registered in ontology_registry.json. Use when translating natural-language material descriptions to ontology terms, annotating simulation inputs with ontology metadata, or mapping crystal parameters (space group, Bravais lattice, lattice constants) to standardized ontology representations.
parameter-optimization
HeshamFS
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.
differentiation-schemes
HeshamFS
Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.
numerical-stability
HeshamFS
Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing explicit/implicit schemes, diagnosing numerical blow-up, checking CFL/Fourier criteria, von Neumann analysis, matrix conditioning, or detecting stiffness in advection/diffusion/reaction problems.
post-processing
HeshamFS
Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.
ontology-explorer
HeshamFS
Parse, navigate, and query materials science ontology structure (classes, properties, hierarchy). Use when exploring an ontology like CMSO, understanding class relationships, finding properties for a given class, or searching for ontology terms related to a materials science concept. Supports OWL/XML format from the OCDO ecosystem (CMSO, ASMO, CDCO, PODO, PLDO, LDO).
time-stepping
HeshamFS
Plan and control time-step policies for simulations. Use when coupling CFL/physics limits with adaptive stepping, ramping initial transients, scheduling outputs/checkpoints, or planning restart strategies for long runs.
cognitive-design
lyndonkl
Use when designing visual interfaces, data visualizations, educational content, or presentations and need to ground decisions in cognitive psychology principles — perception, attention, memory, Gestalt grouping, and visual encoding hierarchy. Invoke when user mentions cognitive load, visual hierarchy, working memory, preattentive processing, Gestalt principles, encoding hierarchy, cognitive design pyramid, or needs to understand WHY certain designs work. For design evaluation, use design-evaluation-audit. For fallacy prevention, use cognitive-fallacies-guard. For data storytelling, use visual-storytelling-design.
mapping-visualization-scaffolds
lyndonkl
Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, planning information architecture, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.