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Found 1,832 Skills
Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.
Data Catalog Updater - Auto-activating skill for Data Pipelines. Triggers on: data catalog updater, data catalog updater Part of the Data Pipelines skill category.
Provides comprehensive patterns for deploying Next.js applications to production. Use when configuring Docker containers, setting up GitHub Actions CI/CD pipelines, managing environment variables, implementing preview deployments, or setting up monitoring and logging for Next.js applications. Covers standalone output, multi-stage Docker builds, health checks, OpenTelemetry instrumentation, and production best practices.
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipeline...
GitHub CLI operations via `gh` for issues, pull requests, CI/Actions, releases, repos, search, gists, and the REST/GraphQL API. Structured output with `--json` and `--jq` for parsing. Covers `gh issue create/list/view/edit/close`, `gh pr create/review/merge/checks`, `gh run list/view/rerun/watch`, `gh release create`, `gh search repos/issues/prs/code`, `gh api` for REST and GraphQL queries, and `gh gist` operations. Includes error handling for HTTP 401/403/404/422/429, scope troubleshooting, and rate limit management. Trigger phrases: "create an issue", "file a bug", "open a ticket", "submit a PR", "raise a pull request", "check pipeline", "view test results", "CI failing", "why did CI fail", "check CI status", "merge a PR", "manage releases", "query the GitHub API", "search repositories", "triage workflows", "automate GitHub operations". Also triggers when the user pastes a GitHub URL.
Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.
CI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.
Help the user systematically identify and categorize failure modes in an LLM pipeline by reading traces. Use when starting a new eval project, after significant pipeline changes (new features, model switches, prompt rewrites), when production metrics drop, or after incidents.
Architecture optimization team skill. Analyzes codebase architecture, designs refactoring plans, implements changes, validates improvements, and reviews code quality via CSV wave pipeline with interactive review-fix cycles.
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.
LLVM IR and pass pipeline skill. Use when working directly with LLVM Intermediate Representation (IR), running opt passes, generating IR with llc, inspecting or writing LLVM IR for custom passes, or understanding how the LLVM backend lowers IR to assembly. Activates on queries about LLVM IR, opt, llc, llvm-dis, LLVM passes, IR transformations, or building LLVM-based tools.
Use this skill when writing job descriptions, building sourcing strategies, designing screening processes, or creating interview frameworks. Triggers on job descriptions, candidate sourcing, screening criteria, interview loops, recruiting pipelines, offer management, and any task requiring talent acquisition process design.