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Found 9,589 Skills
Guides all better-i18n integration decisions — SDK selection (Next.js, React, Expo, Swift, Flutter, Remix), CDN vs GitHub workflow, AI-powered translation management via MCP tools, CLI health checks (scan, doctor, sync), Content CMS (localized models, entries, custom fields), file format conventions (flat / nested / namespaced), key naming, publish flows, and quality analytics. Use whenever building, modifying, or reviewing any localization feature — including i18n setup, adding languages, managing translation keys, publishing, or integrating AI workflows.
Create a personal GitHub coding retrospective from a date range and turn it into a short Markdown review. Research commit activity across accessible public and private repositories through the authenticated gh CLI, understand what the relevant repositories and subsystems are for, and write a prose retrospective with stats and highlights. Use when the user asks for a commit review, coding recap, engineering retrospective, GitHub activity story, weekly/monthly/yearly highlights, or a written summary of what their commits achieved.
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
Install one or more agent skills into the current repository with the skills CLI. Use when adding, refreshing, or restoring project-local skills, when a user names a skill source, or when a repository needs shared skills installed without mutating global agent state.
Automated PR review and CI auto-fix for GitHub and GitLab using the Composio CLI. Pulls diffs, fetches failing job logs, posts review comments, and loops fix commits until checks go green.
Implement the Syncfusion ASP.NET Core Smart Paste Button for AI-powered form auto-filling using clipboard data. Use this skill when configuring OpenAI/Azure OpenAI, creating form field annotations, customizing button appearance, implementing custom inference backends, or managing intelligent data mapping from clipboard to form fields.
Final gate of the Flows app certification flow for external submission. Verifies that flows-app-brief, flows-code-review, and flows-design-review have all been run and are in a passing state (App-Brief.md complete, 0 Must Fix in latest code review, design average ≥ 3.8), then runs `npx @cognite/cli apps submit` to zip the repo and pre-populate the submission form. Use when the user asks to submit a Flows app for certification, run flows-external-app-submit, or finalize an app for external review.
Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.
Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.
Manage SVG icons as framework components using Denji CLI. Use when the user needs to add, remove, list, export, import, or manage SVG icons in React, Preact, Solid, Qwik, Vue, or Svelte projects. Triggers include requests to "add an icon", "set up icons", "manage SVG icons", "remove an icon", "list icons", "export icons", "import icons", "dry-run icon add", or any task involving Iconify icons as framework components.
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).