Product & Planning

ashfordeou Bundle

Use when you must capture the system requirements from stakeholder needs and operational scenarios per ARP4754A: document the stakeholder needs, convert each operational scenario into candidate requirement statements, and record every candidate in the requirements elicitation log with its source. Assess each requirement statement against the quality criteria: atomicity (one shall clause), verifiability (measurable acceptance bound and an assigned method), unambiguity (no weasel words such as approximately, etc, suitable, and/or), single-verb structure, and traceability to its source; then run the elicitation completeness checklist that flags missing needs, uncovered scenarios, and unlogged candidates before the requirement enters the requirements baseline. Produces the populated elicitation log, the per-statement quality assessment, and the completeness verdict. Trigger: requirements elicitation, stakeholder needs, needs capture, operational scenarios, elicitation log, requirement statement quality.

mturac Skill

Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".

tuyv Bundle

Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use when planning a feature's UX and UI to establish design direction, constraints, and strategy before any code is written.

tuyv Bundle

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval-flywheel` skill).

tuyv Bundle

Assault non-green product promises per the PROMISSORY runbook. Use when the user says /promissory, asks to flip/advance/assault product promises, wants the next non-green promise target selected and worked, or wants a fleet wave dispatched at the promise backlog. Modes - no args = supervisor (rank pool, dispatch or work top targets); a promiseId arg = assault that specific promise (owner-directed override); a number N = dispatch a wave of N fleet workers.

tuyv Bundle

Operate an OpenAgents Khala coding fleet safely. Use when the user asks to connect or list fleet accounts, spawn/delegate coding work to Codex or Claude workers, start/monitor/pause/drain/stop a sustained fleet run, burn down a backlog with parallel workers, verify fleet work actually completed, or diagnose dispatch failures like "0/1 available" or target_pylon_unavailable.

tuyv Bundle

Convert Markdown to WeChat Official Account HTML. Use this whenever the user wants WeChat article formatting, article preview, WeChat draft upload, image generation for articles, cover or infographic generation, image-post creation, writer-style drafting, title suggestions, AI trace removal, or current discovery of supported providers, themes, prompts, and layout modules. Also use for unpublished Zhihu, CSDN, or Toutiao drafts through a browser.

tuyv Bundle

Migrates page-navigation breadcrumbs from the legacy `sentry/components/breadcrumbs` component to `@sentry/scraps/breadcrumbList`, splitting one flat crumb array across the TopBar `breadcrumbs` and `title` slots. Use when a page still renders `<Breadcrumbs crumbs={...}/>`, when parent crumbs and the page title need separating into two TopBar slots, when `Layout.Title` double-renders the page name, when a migrated crumb needs to keep the project or date selection, or when working through the BreadcrumbList migration backlog. Trigger on "migrate breadcrumbs", "migrate to BreadcrumbList", "replace sentry/components/breadcrumbs", "split breadcrumbs into TopBar slots", "BreadcrumbList.Title", "the page title renders twice", "preservePageFilters". Not for event breadcrumbs (`sentry/types/breadcrumbs`, the issue-detail timeline), and not for the route-driven SettingsBreadcrumb system.

javimosch Skill

Client Discovery — Qualify, Diagnose, Close

javimosch Skill

Order food delivery via browser automation, triggered by calendar events. Supports two modes — Direct (specific service + restaurant) and Discovery (criteria-based search across all services). Services include DoorDash, Uber Eats, Grubhub. Use when a calendar event matches food ordering patterns. Spawns sub-agents for browser control.

javimosch Skill

Analyze biological data using Lobster AI — single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. USE THIS SKILL WHEN: - Analyzing single-cell or bulk RNA-seq data - Searching PubMed/GEO for papers or datasets - Running quality control on biological data - Clustering cells, finding markers, differential expression - Creating publication-quality visualizations - Working with H5AD, CSV, 10X, GEO/SRA accessions TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "bioinformatics" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding.

javimosch Skill

Find, evaluate, and submit online bounties and hackathons for prize money. Use when user mentions "bounties", "hackathon", "earn money", "Superteam Earn", "prize money", "submissions", "freelance bounties", or asks to find paid opportunities. Covers discovery, eligibility filtering, content drafting, and submission workflows.

javimosch Skill

Extract metadata from Xiaohongshu (XHS) share or discovery URLs by parsing window.__INITIAL_STATE__ and returning note details. Use when asked to fetch XHS page content, note metadata, video info, or engagement stats from a public XHS link.

caishengold Skill

Prd Writer

tuyv Bundle

Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric selection.

tuyv Bundle

Configures best-practice, high-signal alerting policies for Google Cloud Run resources (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.

tuyv Bundle

Manage refresh schedules, selected-lineage execution definitions, and job execution for existing Microsoft Fabric Materialized Lake Views (MLVs) via REST APIs. Configure, update, and delete schedules and execution definitions; trigger on-demand refreshes; monitor job status; and cancel running jobs. Use `spark-authoring-cli` to author MLV definitions. Discovery, visual lineage, and data quality metrics require the Lakehouse UI. Triggers: "schedule MLV refresh", "manage MLV refresh schedule", "trigger MLV refresh", "MLV job status", "cancel MLV refresh", "monitor MLV refresh", "recurring MLV refresh", "daily MLV refresh".

tuyv Bundle

Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Not for multi-metric stakeholder reports — use performance-reporter; not for setting alerts — use alert-manager. 排名追踪/SERP监控

tuyv Bundle

Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.

tuyv Bundle

Use when the user asks to "analyze the SERP" or "SERP分析"; maps SERP features, layout, ranking factors, search intent, AI Overviews, and snippet opportunities for a query. Not for keyword demand discovery — use keyword-research. SERP分析/搜索结果

tuyv Bundle

**WORKFLOW SKILL** - Top-level router for Aspire 13.5 distributed apps. Detects the AppHost, enforces safety guardrails, and routes to the right sub-skill. USE FOR: Aspire AppHost detected, aspire CLI, distributed app, cloud-native .NET, aspire start, aspire stop, aspire resource, aspire deploy, aspire destroy, aspire publish, aspire init, aspire new, aspire add, aspire integration list/search, aspire wait, aspire describe, aspire ps, aspire dashboard run, aspire doctor, aspire update, aspire logs, aspire otel, --include-hidden, aspireify, WithBrowserLogs, custom dashboard/resource commands, .aspire/modules recovery, Playwright URL discovery. DO NOT USE FOR: non-Aspire .NET projects (use dotnet directly), Azure provisioning without Aspire (use azure-prepare), container-only repos with no AppHost, ordinary build/test tasks. INVOKES: aspire-init, aspireify, aspire-orchestration, aspire-deployment, aspire-monitoring. FOR SINGLE OPERATIONS: Route directly to the matching sub-skill.

tuyv Bundle

Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划

tuyv Bundle

Use when the user asks to "generate an SEO report" or "出月报"; builds multi-metric stakeholder reports and dashboards spanning traffic, rankings, authority, and content progress. Not for raw ranking deltas — use rank-tracker. SEO报告/绩效仪表盘

tuyv Bundle

Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.

tuyv Bundle

Explore Fabric IQ Ontology (preview) items (read-only) from the CLI to ground an agent before it queries data. Explore, describe, and summarize what an ontology exposes — its entity types, keys, relationships, and the bindings that map each concept onto a lakehouse or Eventhouse source — then route the underlying data query to the matching per-datasource consumption skill (eventhouse-consumption-cli, spark-consumption-cli, sqldw-consumption-cli). Read-only discovery via Get Item Definition; never writes to or alters an ontology. Use to explore or summarize an ontology, describe its schema and data lineage, build agent grounding context, or run an ontology-backed query over the source records. Triggers: "query fabric ontology", "explore fabric ontology", "list ontology entities", "enumerate ontology entity types", "describe ontology", "ontology grounding context", "ground query with ontology", "query ontology entity data", "fabric iq ontology consumption", "ontology-backed query", "ontology entity bindings"

tuyv Bundle

Locate agent-facing discovery surfaces on a TimeWarp.Architecture template host (llms.txt, auth.md, OpenAPI, MCP/A2A cards, Agent Skills index, markdown negotiation). Use when scanning or onboarding against this host.

withoneai Skill

Ticketmaster Discovery through One

ndpvt-web Skill

Build multi-level RAG pipelines for academic citation prediction and literature discovery. Use when the user asks to 'find relevant papers to cite', 'build a citation recommendation system', 'create a literature retrieval pipeline', 'predict references for a paper', 'set up academic search with RAG', or 'recommend citations for my manuscript'.

pku-yuangroup Bundle

Orchestrates the end-to-end small RNA-seq pipeline from FASTQ to differential miRNAs and expression-filtered targets, chaining kit-aware cutadapt trimming (adapter on every read, UMI/4N handling), miRge3 known+isomiR quantification or miRDeep2 novel discovery, compositionally-aware DESeq2, and miRanda target prediction. Use when committing the library-kit adapter/UMI handling once, choosing the NORMALIZER (which drives which miRNAs are called DE more than the DE model does), deciding known quantification vs novel discovery, handling biofluid/plasma libraries that lack a trustworthy endogenous normalizer, routing tRF/piRNA reads to their own profiling, or feeding RAW (not RPM) counts with size-factor inspection into DE. Hands mechanism to the small-rna-seq component skills; not a re-teach of any single step.

pku-yuangroup Bundle

Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data. Uses BPNet (Avsec 2021 Nat Genet 53:354; soft motif syntax from ChIP-nexus), chromBPNet (Pampari A et al 2024 bioRxiv; bias-factorized base-resolution profiles), EnFormer (Avsec 2021 Nat Methods 18:1196; 196 kb input, ~100 kb effective receptive field), DeepSEA (Zhou 2015; multi-task CNN), and JASPAR 2026 deep-learning collection (1259 BPNet ChIP models). Performs in silico mutagenesis for variant-effect prediction, DeepLIFT/Grad attribution, and TF-MoDISco motif discovery from attribution scores. Use when predicting variant effects on TF binding, discovering soft motif syntax / cooperativity, integrating ChIP-seq with sequence-only predictions, or applying precomputed JASPAR Deep Learning models to new variants.

pku-yuangroup Bundle

Predict RBP binding from RNA sequence using deep learning models (RBPNet sequence-to-signal, RNAProt RNN, GraphProt2 GCN with structure, DeepCLIP, DeepRiPe multi-modal CNN) for variant-effect prediction, in silico binding-site discovery, model interpretation, and transfer learning from CLIP and RBNS datasets. Use when computational prediction of RBP binding from sequence is needed, evaluating variant effects on binding without further wet-lab experiments, comparing model performance, or training a custom model on ENCODE eCLIP data.

pku-yuangroup Bundle

End-to-end biomarker discovery workflow from expression data to validated biomarker panels. Covers feature selection with Boruta/LASSO, leakage-safe cross-validation, calibration, and SHAP interpretation. Use when building and validating diagnostic or prognostic biomarker signatures from omics data.

pku-yuangroup Bundle

Aligns RNA-seq reads to a genome with STAR, the fast splice-aware aligner whose splice-junction database (built from a GTF at sjdbOverhang = readlength-1) and two-pass mode set junction sensitivity, whose 255-for-unique MAPQ breaks GATK, and whose GeneCounts output reveals library strandedness. Use when RNA reads must be placed on the genome for novel-isoform discovery, fusion detection, RNA variant calling, coverage tracks, splicing QC, or single-cell (STARsolo). Memory-constrained RNA alignment is hisat2-alignment; DE on known transcripts only should skip alignment for rna-quantification/alignment-free-quant; the QC gate and contig-naming reconciliation are alignment-files; counting is rna-quantification; DNA is bwa-alignment/bowtie2-alignment.

pku-yuangroup Bundle

Orchestrates neoantigen discovery from somatic variants to ranked vaccine candidates, chaining HLA typing (OptiType/arcasHLA + LOHHLA), VEP annotation (Wildtype+Frameshift plugins) + expression/readcount annotation, proximal-variant phasing, pVACseq MHC-I/II binding, CCF/clonality, and immunogenicity/quality ranking. Use when recognizing that binding is single-digit PPV and the critical steps are downstream (full-resolution HLA + LOH gating, proximal-variant phasing, clonality from purity+CN not raw VAF, expression), sequencing normalize+annotate -> phase -> HLA -> binding -> quality in the defensible order, dropping candidates on LOH-lost alleles, supplying --phased-proximal-variants-vcf so the mutant peptide is real, or ranking WITHIN patient rather than a fixed IC50 threshold. Hands mechanism to the immunoinformatics component skills; not a re-teach of any single step.

pku-yuangroup Bundle

End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment. Orchestrates temporal DE (limma splines or DESeq2 LRT), Mfuzz/tslearn soft clustering of expression-profile shapes, GAM trajectory fitting, per-cluster GO enrichment against a temporal-gene background, and an OPTIONAL circadian rhythm-detection branch (MetaCycle/CosinorPy) that runs only when the design covers >=2 full cycles with >=6-8 evenly spaced samples per cycle. Use when analyzing a bulk time-series expression experiment from any omics platform and deciding limma-splines vs DESeq2-LRT for temporal DE, soft vs hard clustering, whether the sampling design even licenses rhythm detection, and which background to use for enrichment. Not for single-cell pseudotime (see temporal-genomics/trajectory-modeling for the bulk-vs-pseudotime boundary) or unknown-period discovery (see temporal-genomics/periodicity-detection).

pku-yuangroup Bundle

Predict enhancer-gene regulatory connections from ATAC-seq using ABC, ENCODE-rE2G, HiChIP, or Cicero. Use when linking distal enhancers to target genes, choosing between contact-aware (ABC, ENCODE-rE2G), accessibility-only (Cicero), and orthogonal (HiChIP H3K27ac, EpiMap) approaches, validating predictions against CRISPRi-FlowFISH gold-standard, or building cell-type-specific regulatory maps for fine-mapping or therapeutic target discovery.