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Found 5,323 Skills
AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups, launch configurations, launch templates, scaling policies, lifecycle hooks, and predictive scaling. Covers template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for high availability and cost optimization.
Implements Syncfusion .NET MAUI ListView (SfListView). Use when displaying lists or collections of data in MAUI applications, implementing data grids, creating scrollable item lists, or adding sorting/filtering/grouping. Covers item selection, layout customization, swipe actions, pull-to-refresh, load more, and drag-drop items.
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
Automate Microsoft Excel on Windows via COM interop. Use when creating, reading, or modifying Excel workbooks. Supports Power Query (M code), Data Model (DAX measures), PivotTables, Tables, Ranges, Charts, Slicers, Formatting, VBA macros, connections, and calculation mode control. Triggers: Excel, spreadsheet, workbook, xlsx, Power Query, DAX, PivotTable, VBA.
On-chain intelligence for DOG•GO•TO•THE•MOON rune — forensic analysis, LTH vs STH metrics, multi-chain whale tracking, multi-exchange markets, cross-chain data, and airdrop analytics powered by DOG DATA's Bitcoin full node.
MANDATORY recipe for every Caffeine build that calls OpenAI (ChatGPT, GPT-4o, an LLM, a chatbot, embeddings). The ONLY supported path is the `openai-client` mops package with a canister-side API-key bearer. Hand-rolling `ic.http_request` to `api.openai.com/v1/...` is a FORBIDDEN anti-pattern — it leaks the bearer across replicated outcalls (security + 13× billing impact), bypasses the typed request/response bindings, and forces hand-rolled JSON on a language with poor JSON support. Load this skill whenever the user, spec, or any prior task mentions ChatGPT, GPT (any version), OpenAI, an LLM, a chatbot, or embeddings — and BEFORE writing any code that touches `api.openai.com`.
Provisions, connects, migrates, and operates Amazon RDS for Db2. Applies when provisioning with IBM customer and site IDs (License Manager, BYOL, GovCloud), connecting over TLS, fixing SQL30082N after Secrets Manager rotation, migration from Db2 LUW (Linux, AIX, Windows, AS400) or z/OS mainframe (ADB2GEN, Q Replication), choosing code page/collation (EBCDIC, CCSID), S3 backup/restore, Multi-AZ and cross-region standby replicas, RDSADMIN procedures, customer-managed KMS BYOK, self-managed Active Directory Kerberos, Db2 audit to S3, minimum IAM, or colocation.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
Full API lifecycle management through Postman. Sync OpenAPI specs to collections, generate typed client code, run API tests, create mock servers, publish documentation, audit security against OWASP Top 10, and discover APIs across workspaces. Requires the Postman MCP Server. Use this skill when the user mentions Postman, API collections, syncing specs, generating SDKs, running API tests, creating mocks, API documentation, or API security audits. Triggers on tasks involving API development workflows, collection management, or any Postman-related operations.
Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
Safe deployment practices across local/dev/prod environments. Apply when setting up deployment pipelines or adding deployment scripts.