Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and .md files; when they mention build my company from scratch, company as code, company knowledge base for AI to read, company wiki for agents, OKF, or knowledge bundle. In English.

Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.

仅在创建/更新/修复 C++ 测试、配置 GoogleTest/CTest、诊断失败或不稳定的测试、以及添加覆盖率或消毒器时使用。

Run the Nemotron-3 Ultra Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on their SLURM cluster: data prep, distributed checkpoint conversion, and packed LoRA fine-tuning of the 550B hybrid Mamba-Transformer MoE, ending at a saved adapter. Use when the user wants to run this cookbook, fine-tune Nemotron-3 Ultra with LoRA, or adapt the notebook to their own cluster.

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.

Updates gem dependencies, handles CVEs, and manages gemspec rules. Use when updating dependencies, checking for outdated gems, or fixing security vulnerabilities.

Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. Use when users want to identify shared DEGs, common hub genes, cross-disease biomarkers, or shared molecular mechanisms between two diseases using public GEO data. Triggers:"shared biomarker study for two diseases", "dual-disease transcriptomic ML paper", "identify common DEGs between disease A and B", "cross-disease hub gene discovery", "shared DEG + PPI + ROC design", "immune infiltration shared biomarker", or "I want to study disease X and Y together". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.

/cs:webinar — Webinar & virtual-event marketing workflow. Plan a webinar from scratch (sized backward from the business goal), rescue one whose numbers disappointed (score the funnel, fix the broken stage), or turn a past webinar into an evergreen on-demand lead engine. Covers the full funnel: registration, promotion runway, show-up, live engagement, live-to-close, and segmented follow-up. Treats a webinar as a funnel, not an event.

Product analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation. Use when a product question needs numbers — e.g., defining activation/retention KPIs and a dashboard spec for a new feature, or sizing an A/B test and judging whether the result is significant enough to ship.

A multi-stage workflow for writing long-form medical reviews; used when the user needs to build an outline based on PubMed literature, write chapter by chapter, perform supplementary searches, and format citations; input is the review topic and project directory, output is a c...

Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction. Always use this skill whenever a user wants to design, plan, or build a study combining MR and single-cell data — even if phrased as "help me write a paper on X", "design a bioinformatics study for Y", or "I want to study Z using MR and scRNA". Covers five study patterns (mechanism gene-set, key-cell, candidate-gene reverse validation, exposure-disease-cell triangulation, translational biomarker) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and a strictly verified reference literature retrieval layer with real references only.

Find an Adobe Express template, customize its text or background color, and turn it into a print-ready PDF, packet, or shareable link. Use whenever the user asks to make a flyer, poster, banner, brochure, sign, or other print piece and mentions PDF, printing, a packet, or sharing — for example, “make me a flyer and give me a PDF”, “turn my flyer into a printable PDF”, “get this ready for the print shop”, “combine these into one packet”, or “share my finished design as a link”. Do not use for a bare design request with no PDF/print/share goal, social-only designs, or editing an existing image/file (resizing, cropping, or OCR). Access: Signed-In required

MANDATORY when an Excel/XLSX task's source content is an uploaded PDF — including when the PDF's text or tables are already extracted and visible in the conversation. Covers: 'convert this pdf to excel/xlsx', 'pull the tables from this pdf into a spreadsheet', 'turn this pdf into a spreadsheet'. Requires viewing THIS file before defaulting to hand-authoring a spreadsheet with openpyxl/pandas. Route to adobe-anypdf's pdf_export (target_format: xlsx) first. Do NOT use this file when there is no PDF source — a from-scratch spreadsheet request, or editing an existing .xlsx/.csv, is the public xlsx skill's job, not this one.

Use when validating an App Builder app before submitting to Adobe Exchange, or when the user mentions Adobe Commerce app compliance, extension review, marketplace submission, or Adobe Exchange listing. Checks security requirements, project structure, documentation completeness, and dependency health; reports MUST-have blockers and NICE-to-have recommendations and walks through each finding interactively.

Always invoke for `.uipx` files. UiPath Solution lifecycle via `uip solution`: init/restore/pack/publish/deploy/activate/upgrade/upload, projects add|import|remove, resources refresh|add|remove|edit, feeds list, `--feed` / `--personal-workspace`. DIAGNOSE lifecycle failures: pack/publish/deploy/activate errors, stale or missing bindings, unimported or unresolved resources, deploy error codes, publish name+version/processKey collisions, redeploy blocked by an existing deployment (`deploy upgrade`), feed 'not an available publish location', package missing from `packages list`, 'unknown command' after the new→init rename. Bundles RPA/Flow/Case/Agents/API Workflow/AppV2 coded and coded-action projects into one `.uipx`. Routing: PDD→SDD design & task derivation→uipath-planner; non-solution Orchestrator/IS/resources/auth/traces→uipath-platform; .xaml/.cs→uipath-rpa; .flow→uipath-maestro-flow; .bpmn→uipath-maestro-bpmn; agent.json/.py agents→uipath-agents; standalone coded-app deploy→uipath-coded-apps.

Use this when the user mentions component models, component definitions, component filters, block configuration for the Universal Editor, UE block setup, adding a new block to UE, configuring block properties or block authoring fields, or wants to create an EDS/Franklin block with Universal Editor support, modify block fields, or add a block to the section filter. Covers creating and editing the three JSON files that control how AEM Edge Delivery Services blocks appear and behave in the Universal Editor — component-definition.json, component-models.json, and component-filters.json.

Use this to turn a Figma design into an AEM Edge Delivery Services (EDS / AEM / Franklin / Helix) content page in Document Authoring (DA, da.live). Triggers: "build this Figma frame in EDS", "turn this Figma design into a DA page", "publish this design to da.live", or providing a figma.com URL for a page. Reads the frame (and any annotations) via a Figma MCP, resolves each section to an existing block, a new isolated block, or default content (inferred against the project's existing blocks and confirmed with you, or read from annotations when the frame happens to have them), generates DA-compliant body-fragment HTML, and deploys via the DA Source API + preview.

Crawl and validate all internal and external links across an AEM Edge Delivery Services site. Uses the query index or sitemap to discover pages, extracts links from .plain.html renditions, checks HTTP status codes, and produces a prioritized report of broken, redirecting, and insecure links. Use when auditing link health before launch, after a migration, or as a periodic maintenance check.

Generate JSON-LD structured data for AEM Edge Delivery Services pages. Analyzes page content and metadata to determine the appropriate schema.org types, extracts relevant properties, and produces validated JSON-LD snippets ready for implementation in head.html or scripts.js. Use when adding rich results support, improving search appearance, or auditing existing structured data.