“graphs”的搜索结果

Choose automatic layouts for diagrams made of connected nodes. Match algorithms and tools to the graph structure, then plan connector routes, overlap handling, and stable placement so readers can follow relationships and edits remain predictable.

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• Reducing crossings in a dependency graph
• Routing ERD connectors around tables
• Choosing layouts for trees and networks

Capture and analyze iOS memory snapshots to find objects that remain allocated unexpectedly. Trace the references keeping them alive, identify a targeted fix, and compare the same app flow before and after to document evidence.

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• Investigating memory growth in an iOS app
• Tracing retain cycles that keep objects alive
• Analyzing an existing .memgraph file

Design image-led pages with large photographs, visible grid guides, and carefully positioned text and buttons. Coordinate typography, transparent cards, shading, and subtle motion so the image remains prominent while supporting information stays readable.

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• Designing a large photographic hero section
• Positioning headlines and buttons over images
• Coordinating cards and navigation around photography

Create Three.js game effects that clearly communicate attacks, hits, damage, and status changes. Define each effect’s purpose and lifetime, limit resource use, and test overlapping effects, repeated triggers, low-quality settings, and reduced-motion alternatives.

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• Distinguish attack warnings from hit effects
• Create damage and status feedback
• Limit particle counts during repeated attacks

Create SVG illustrations centered on one physical object, with white faces, teal sides, dark outlines, and hard shadows. Use this consistent, people-free style for onboarding steps, empty states, feature cards, and product imagery.

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• Object illustrations for empty states
• Artwork for onboarding steps
• Cards explaining product features

Build and tune enemy behavior for action games, including targeting, movement, attacks, retreats, and boss phases. Organize decisions into explicit states, make attacks readable to players, and check behavior with repeatable tests and browser encounters.

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• Implementing enemy detection, pursuit, and retreat
• Tuning attack warnings and combat spacing
• Debugging boss phases and interrupted actions

Turn reference images into prompts for AI image generation by describing composition, lighting, colors, and materials. Receive a main prompt and a negative prompt that specifies unwanted features, tailored to the image’s visual medium.

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• Recreating a reference photo’s composition and lighting
• Turning an illustration’s visual style into a prompt
• Describing materials and backgrounds in product images

Search ten academic databases for papers, preprints, author publications, and citation links. Look up specific papers by DOI, a paper identifier, and find abstracts, available full text, or openly accessible PDF links.

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• Find research papers on a specific topic
• Look up a paper by DOI or PMID
• Find openly accessible full text and PDFs

Analyze relationships between people, objects, or papers as networks in Python. Use NetworkX to find shortest paths, identify important nodes and communities, visualize connections, exchange graph data, and generate sample networks for testing.

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• Visualizing social relationships or paper citation networks
• Finding shortest paths through a network
• Identifying important nodes and closely connected groups

Draft or revise introductions for economics papers using a clear sequence: motivation, research question, empirical approach, findings, and contribution to existing literature. A checklist helps identify vague claims, missing results, misplaced literature discussion, and excessive length.

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• Draft an introduction for an economics paper
• Improve the opening motivation and research question
• Reorder findings and discussion of related literature

Estimate how an intervention affects outcomes using Bayesian causal analysis. The workflow confirms causal assumptions with the user, selects a suitable method, checks whether findings withstand challenges, and reports effects with uncertainty and limitations.

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• Estimating the effect of a policy or intervention
• Mapping causal relationships before analysis
• Selecting a method for observational data

Assess how a pull request affects documentation, classify the required updates, and coordinate writing, technical verification, and editorial review. The result is an advisory comment with proposed changes for affected pages or document structure.

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• Finding documentation gaps caused by code changes
• Drafting targeted corrections for existing documentation
• Planning new pages or table of contents changes

Find academic papers, citation links, and openly available full text using suitable sources among ten literature APIs. Results include search parameters, identifiers, and access dates so readers can repeat the lookup and understand gaps in coverage.

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• Finding papers on a research topic
• Looking up a paper by DOI or PMID
• Finding an openly available PDF or full text

Build PyTorch machine learning workflows for molecules, proteins, and biomedical relationships. Get guidance on datasets, model selection, training, and evaluation for property prediction, protein modeling, molecule generation, and planning synthesis routes from target molecules.

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• Predicting molecular solubility and toxicity
• Predicting protein function from sequences or structures
• Exploring new drug uses through biomedical relationships

Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.

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• Monitoring training loss and accuracy
• Comparing experiments with different training settings
• Inspecting weight and gradient distributions

Draft and revise scientific manuscript prose from research notes and results. Organize sections, write abstracts and figure captions, integrate citations, and refine terminology and clarity while following study reporting guidelines and journal requirements.

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• Turning research notes into manuscript sections
• Writing an abstract within journal word limits
• Refining captions and integrating citations

Analyze relationships between people, objects, or places using Python networks. Build connection diagrams, find shortest paths, identify important nodes and closely connected groups, visualize network structure, and save the resulting data and measurements.

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• Visualize social or citation networks
• Find shortest routes through a network
• Identify important nodes and connected groups

Process datasets that exceed available memory and run Python computations across multiple cores or machines. The skill guides large table and array operations, multi-file cleaning and aggregation, custom task dependencies, and execution settings for parallel workflows.

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• Aggregate multiple CSV or Parquet files
• Process numeric arrays larger than available memory
• Clean JSON records and logs for analysis

Tune Megatron Bridge training for MoE models, which route tokens to specialized experts, by overlapping expert communication with computation. Check dispatcher requirements, avoid conflicting settings, and compare steady training performance while changing one overlap setting at a time.

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• Reduce exposed token dispatch and combine time
• Check requirements for expert communication overlap
• Configure flex dispatch and resolve overlap conflicts

Configure and validate sequence packing, which combines training examples into token sequences, and long-context training in Megatron-Bridge. Compare offline, in-batch, and Energon online approaches while checking batch sizes, parallelism requirements, and model compatibility.

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• Configure offline packing for text model fine-tuning
• Choose packing methods for vision-language models
• Check parallelism constraints for long-context training

Diagnose GPU out-of-memory errors during Megatron Bridge training and choose memory reduction settings. Covers fragmentation, LoRA input storage, recomputation, parallelism changes, and CPU offloading, explaining compatibility limits and potential tradeoffs between memory use and training throughput.

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• Investigating GPU out-of-memory errors during training
• Reducing retained inputs in LoRA training
• Estimating memory needs before a large training job

Build, query, and inspect the project knowledge graph in .planning/graphs/

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Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analysing dependencies, searching database schemas or API specs, or when socraticode/codebase_search tools are available. Activates when the user asks about code structure, wants to find where a feature lives, or needs to understand how code is organised.

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Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

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