cqrs-implementation
cqrs-implementation
【效率与协作】Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
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cqrs-implementation
cqrs-implementation
【效率与协作】Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
torchforge-rl-training
torchforge-rl-training
【效率与协作】Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.
incoming-request-advisor
incoming-request-advisor
【开发与工程】Decode an incoming message into a structured breakdown separating the literal ask from the job-to-be-done. Use when a loaded Slack ping, email, mandate, or escalation needs a reply.
bio-atac-seq-allele-specific-accessibility
bio-atac-seq-allele-specific-accessibility
【数据与研究】Detect allele-specific chromatin accessibility from ATAC-seq using WASP, GATK ASEReadCounter, or RASQUAL. Use when mapping cis-regulatory genetic variants from heterozygous SNPs, separating cis from trans regulation, building chromatin QTL (caQTL) maps, validating GWAS variant function with allelic imbalance, or detecting reference allele mapping bia…
bio-ribo-seq-translation-efficiency
bio-ribo-seq-translation-efficiency
【开发与工程】Quantify translation efficiency (TE) as ribosome occupancy relative to mRNA abundance and test for differential TE between conditions. Use when separating translational from transcriptional regulation, distinguishing genuine translational control from buffering, or choosing between riborex, Xtail, anota2seq, and DESeq2 interaction models.
bio-single-cell-cnv-inference
bio-single-cell-cnv-inference
【数据与研究】Infer large-scale copy-number alterations from tumor single-cell or single-nucleus RNA-seq to separate malignant from normal cells and call subclones, using inferCNV, copyKAT, Numbat, and SCEVAN. Use when separating malignant from normal cells in a tumor scRNA-seq dataset, inferring chromosome-arm CNVs or aneuploidy from expression, calling tumor sub…
bio-single-cell-perturb-seq
bio-single-cell-perturb-seq
【开发与工程】Analyze Perturb-seq / CROP-seq single-cell CRISPR screens. Use when assigning guides as a mixture problem, removing non-perturbed escaper cells with Mixscape, choosing a calibrated test (SCEPTRE conditional resampling) over naive DE, quantifying effect size with E-distance, separating compositional shifts from within-state expression change, or judgi…
bio-spatial-transcriptomics-spatial-statistics
bio-spatial-transcriptomics-spatial-statistics
【效率与协作】Detects spatially variable genes, spatial autocorrelation, and cell-type colocalization for spatial transcriptomics using Squidpy with PySAL/esda for local statistics. Use when choosing an SVG method by its null and scaling (SpatialDE/SPARK GP variance-component vs SPARK-X/nnSVG linear vs Moran/Geary graph autocorrelation); separating genes that are …
redis-semantic-cache
redis-semantic-cache
【效率与协作】Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI…
redis-semantic-cache
redis-semantic-cache
【效率与协作】Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI…
trade-show-lead-recommender
trade-show-lead-recommender
【效率与协作】Retrieve event exhibitor recommendations from Lensmor, separating populated ranking evidence from unranked fallback records.
environment-setup
environment-setup
【部署与运维】Organize application environment configuration: `.env` files, env precedence, typed env validation, secret handoff, framework-specific env rules, and config drift between local, staging, CI, and production. Use when the user needs help structuring environment variables, validating required config, separating public/private env values, or cleaning up …
task-estimation
task-estimation
【开发与工程】Turn fuzzy work into one honest estimate packet by choosing the right sizing horizon, naming confidence and uncertainty, and separating discovery from delivery before anyone treats the number like a promise. Use when the user needs story points, t-shirt sizing, planning-poker prep, forecast-safe language, split-or-spike guidance, or cross-functional …
task-planning
task-planning
【开发与工程】Turn vague features, bug clusters, roadmap items, launch work, or playtest findings into one execution-ready planning packet by choosing the right packet type, separating discovery from delivery, and making blockers, dependencies, and the next move explicit. Use when the user needs backlog cleanup, feature slicing, sprint or milestone prep, release p…
stress-testing-game-concepts
stress-testing-game-concepts
【设计与创意】Audits one or more game concepts, rule specs, or early prototypes adversarially for unreachable goals, dominant simple policies, agency collapse, irrelevant mechanics, reward exploits, and unsupported design claims while separating demonstrated defects from uncertainty. Use to challenge an existing game idea before implementation, review a ruleset, d…
reference-assets
reference-assets
【设计与创意】Plan, create, version, approve, and quality-check visual and audio reference assets for characters, locations, props, styles, keyframes, voices, and music while separating canonical identity from scene state.
cqrs-implementation
cqrs-implementation
【效率与协作】Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
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