Expert en construction de design systems avancés (tokens, composants, Storybook, Figma sync, versioning, theming)
中文简介正在准备中。当前显示原文说明。
862 个 · 按相关度排序
Expert en construction de design systems avancés (tokens, composants, Storybook, Figma sync, versioning, theming)
中文简介正在准备中。当前显示原文说明。
Design System Builder IA — Expert en construction de design systems (Storybook, tokens, component API, theming, Figma sync)
中文简介正在准备中。当前显示原文说明。
Community Builder IA — Expert en construction de communautés (Discord, Telegram, engagement, moderation, growth loops).
中文简介正在准备中。当前显示原文说明。
Expert en construction de communauté avancé (Discord, forums, ambassadors, engagement, monetization)
中文简介正在准备中。当前显示原文说明。
Expert en construction d'outils pour agents IA (function calling, tool schemas, MCP, validation, error handling)
中文简介正在准备中。当前显示原文说明。
Break a design system into its constituent decisions and evaluate each one. Use when auditing design systems, evaluating consistency, or understanding how a product maintains quality at scale.
中文简介正在准备中。当前显示原文说明。
Guide for dataset construction — SupervisedDatasetBuilder, RLDatasetBuilder, ChatDatasetBuilder, and custom dataset creation from JSONL, HuggingFace, or conversation data. Use when the user asks about datasets, data loading, data preparation, or custom data formats.
中文简介正在准备中。当前显示原文说明。
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
中文简介正在准备中。当前显示原文说明。
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.
中文简介正在准备中。当前显示原文说明。
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
中文简介正在准备中。当前显示原文说明。
Create a construction plan for a multi-step engineering task that requires multiple PRs or a phased approach. Produces a self-contained plan file with dependency graph, review gates, and step-by-step execution instructions for coding agents. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex task, or describes work that clearly needs multiple PRs. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, user asks to modify/update an existing plan, user says "just do it", or user asks for code review/audit.
中文简介正在准备中。当前显示原文说明。
Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data for attack chain reconstruction and investigation documentation.
中文简介正在准备中。当前显示原文说明。
Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction, and anomaly detection. Covers Windows event logs, firewall logs, proxy logs, and authentication data analysis. Activates for requests involving Splunk investigation, SPL queries, SIEM log analysis, security event correlation, or log-based incident investigation.
中文简介正在准备中。当前显示原文说明。
Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.
中文简介正在准备中。当前显示原文说明。
Structures biological experiments so inference is valid by construction, covering Fisher's principles (randomization, replication, local control), the experimental-vs-observational unit distinction and pseudoreplication (Hurlbert 1984; Lazic 2018), randomization mechanics (complete, restricted, stratified, rerandomization, run-order), blocking layouts (randomized complete block, Latin square, incomplete block), factorial designs and interactions, and the split-plot/nested error strata hidden inside multi-batch genomics. Use when deciding the experimental unit and what counts as a replicate, planning randomization and run order, choosing a blocked/factorial/split-plot/nested layout, avoiding pseudoreplication in cell-culture or animal studies, or specifying the random-effects structure of the analysis model. For assigning samples to sequencing batches/lanes/plates and batch-effect correction see experimental-design/batch-design; for regulated clinical-trial randomization see clinical-biostatistics.
中文简介正在准备中。当前显示原文说明。
Orchestrates an end-to-end immune-repertoire pipeline from FASTQ to clonotypes, diversity, overlap, somatic hypermutation and lineages, routing on two forks. Use when deciding bulk vs single-cell (bulk amplicon/RNA-seq -> MiXCR analyze preset -> VDJtools/immunarch depth-normalized diversity and overlap -> figures; 10x paired VDJ -> MiXCR 10x preset or Cell Ranger -> scirpy gene-expression integration, chain QC, clonotype clusters); and TCR vs BCR (TCR -> exact CDR3-nt+V/J clonotypes, VDJtools diversity is fine; BCR -> somatic hypermutation makes exact clonotypes wrong -> Immcantation distToNearest/findThreshold clonal clustering, germline reconstruction, SHM, Dowser lineages); selecting the MiXCR 4.x preset by chemistry and activating its license; downsampling to equal depth before comparing diversity or overlap; and optionally annotating antigen specificity.
中文简介正在准备中。当前显示原文说明。
End-to-end genome-scale metabolic modeling from genome sequence to flux predictions. Covers automated reconstruction with CarveMe, model validation with memote, FBA/FVA analysis, and gene essentiality prediction. Use when building metabolic models or predicting metabolic phenotypes from genomic data.
中文简介正在准备中。当前显示原文说明。
Compound-target-disease network construction and analysis for drug repurposing, polypharmacology discovery, and multi-target drug design. Uses STRING, BioGRID, ChEMBL, DGIdb, OMIM, OpenTargets. Use for off-target effect prediction, network-based drug repurposing, and identifying molecules with desired multi-target profile.
中文简介正在准备中。当前显示原文说明。
Maps metabolomics results to biological pathways via over-representation (ORA), metabolite-set enrichment (MSEA/QEA), mummichog/PSEA on raw m/z peaks, and network-diffusion enrichment (FELLA), with correct background-set construction and honest interpretive ceilings. Use when interpreting differential metabolites or an untargeted LC-MS feature table in pathway context, choosing ORA vs MSEA vs mummichog vs topology, or setting the reference/background set. For annotation confidence levels feeding ORA see metabolomics/metabolite-annotation; for gene-set concepts see pathway-analysis/go-enrichment and pathway-analysis/gsea; for joint gene+metabolite pathways see multi-omics-integration/mofa-integration.
中文简介正在准备中。当前显示原文说明。
Create ADA compliance checklists for construction. TRIGGERS - Use when user needs help with ada-compliance-checklist related tasks.
中文简介正在准备中。当前显示原文说明。
visionOS / iOS 空間コンピューティング。RealityKit、ARKit、visionOS SwiftUI、USDKit、Spatial Preview。 Entity, ModelEntity, AnchorEntity, Component, System, RealityView, MeshResource, Material, EntityAction, MeshDeformerComponent, GaussianSplatComponent, ComputeGraphComponent, ComputeNodeGraph, PhysicsJointsComponent, ForceEffectComponent, ClothBodyComponent, NavigationComponent, NavigationMeshComponent, NavigationController, USDStage, SpatialPreviewSession, ImmersiveSpace, ImmersionStyle, WindowGroup, VolumetricWindowStyle, Model3D, ARKitSession, ARSession, ARWorldTrackingConfiguration, WorldTrackingProvider, HandTrackingProvider, ImageTrackingProvider, AccessoryTrackingProvider, CameraFrameProvider, ObjectTrackingProvider, RoomTrackingProvider, SceneReconstructionProvider。
中文简介正在准备中。当前显示原文说明。
Use when job costing a construction or contracting job: committed against actual cost, labour, plant, subcontract and materials allocation, margin by contract, variance to budget, and the cost-to-date and cost-to-complete figures the WIP calculation consumes.
中文简介正在准备中。当前显示原文说明。
Use when preparing or reviewing a construction work-in-progress schedule under AASB 15: measuring progress by input or output method, cost to complete, contract assets and contract liabilities, variations and claims as constrained variable consideration, and tying the schedule to revenue and the general ledger.
中文简介正在准备中。当前显示原文说明。
Use when building or reviewing a construction progress payment claim in NSW or Queensland: measured quantities, variations, materials, retention withheld, GST, the claim trigger date, and the statutory content a valid claim must carry.
中文简介正在准备中。当前显示原文说明。