Results for “structure”

Weekly pipeline metrics, forecast, and trend dashboard in structured markdown

Authenticate, initialize, and use the stateful Gemini Interactions API for multi-turn conversations, streaming, structured output, and function calling on the Gemini Enterprise Agent Platform.

Queries and manages Seq structured log servers via the Seq HTTP API, covering log search, signals, alerts, dashboards, retention policies, and API key management.

Use when filtering `RNAsubopt -s` output to keep p-optimal RNA structures in a ViennaRNA post-processing pipeline.

Guides a structured planning pipeline for coding tasks, including scope detection, research, plan creation, and review.

Guides a structured planning pipeline for coding tasks, from scoping and research to plan creation, review, and handoff.

Manage Helm charts end-to-end: structure, templates, values schema, releases, hooks, and debugging.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Run ESM protein language models — ESM3 for generative multimodal protein design across sequence, structure, and function, and ESM C for efficient embeddings and representations — locally or via the cloud Forge API. Use when working with protein sequences, structures, or function prediction, designing novel proteins, generating protein embeddings, performing inverse folding, or doing protein-engineering tasks. Part of the AlterLab Academic Skills suite.

Adds logging, metrics, tracing, and alerting to make production behavior visible and diagnosable.

Guides configuring Turborepo for JavaScript/TypeScript monorepos, covering task pipelines, caching, filtering, CI optimization, and package structure.

Searches codebases with structured grep, glob, and tree commands via ripgrep, fd, and tree CLI tools.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.

Applies the DevSecOps framework to structure analysis, guide decision-making, and produce actionable recommendations for engineering and operations contexts.

Creates a print-friendly architecture or pipeline presentation deck with a blueprint-grid mask, rust-red callouts, and serif typography.

Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment.

Provides a structured pre-launch checklist, staged rollout plan, monitoring setup, and rollback strategy for safe production deployments.

Runs a structured bug-fix pipeline that scouts, diagnoses, fixes, reviews, and finalizes code changes with optional quality re-verification.

Runs a structured bug-fix pipeline: scouts evidence, diagnoses root cause, applies minimal fixes, and reviews before committing.

Applies the CI/CD framework to structure analysis, guide decision-making, and improve outcomes in engineering devops contexts.

Analyze and manage justfiles, recipes, and variables with a discovery-first workflow, including dry-run previews and structured reports.

Provides a structured approach to designing, implementing, and troubleshooting AWS security configurations with best practices and verification checklists.

Runs Apify cloud actors for structured web scraping and exports datasets to S3, with input schema validation and webhook notifications.

Analyzes AWS Lambda functions, including configuration, invocation metrics, cold starts, error rates, layers, and concurrency, producing structured reports.

Provides a structured guide for creating effective skills for AI coding agents, with emphasis on Azure SDKs and Microsoft Foundry services.

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness, returning a structured report with exact patch locations.

Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.