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Found 3,411 Skills
Verify whether a GitHub issue is fixed in the local codebase. User provides a GitHub issue URL, the skill fetches it, extracts reproduction steps, builds the product from source, runs the reproduction steps, and reports whether the issue still exists or not.
End-to-end workflow—review changes, create a Japanese commit per commit-jp, run pnpm lint && pnpm test, then push to origin per push. Use when the user wants to commit and publish in one go. Does not open or update PRs—use create-pr-jp for that.
A skill for creating new addons for Kubernetes deployments using the Mojaloop addon structure.
Saleor e-commerce API patterns for building storefronts. Use when working with Saleor's GraphQL API, products, variants, checkout, channels, permissions, or debugging API behavior. Framework-agnostic — applies to any Saleor storefront.
Run Codex code review against the current branch and report only the review comments that are still valid for the current codebase, without applying fixes.
Use Kotlin idioms safely in Android apps, including nullability, data classes, sealed types, extension functions, and collection pipelines.
Troubleshoot and debug LiveAvatar integration issues. Use when the user's LiveAvatar integration isn't working, the avatar is silent, audio is garbled, sessions fail to start, events aren't received, or they're getting API errors.
Debugging and Root Cause Localization for AscendC Operator Precision Issues. Used when operator precision tests fail (such as allclose failure, result deviation, all-zero/NaN output, etc.). Process: Error Distribution Analysis → Code Error-Prone Point Review → Experimental Isolation → printf/DumpTensor Instrumentation → Fix Verification. Keywords: precision debugging, precision issue, result inconsistency, error localization, allclose failure, output deviation, NaN, all-zero, precision debug.
The Quality Score Optimization skill provides a systematic framework for diagnosing, tracking, and improving Quality Score across every keyword in a Google Ads account.
Read-only Q&A mode — answers questions about the codebase, architecture, or any topic without modifying files. Use for research and exploration before making changes.
Expert guidance on document chunking strategies for RAG systems. Use this skill when designing how to split documents for vector embeddings. Activate when: chunking, chunk size, text splitting, document segmentation, overlap, semantic chunking, recursive splitting.
Type-safe SQL query building with Kysely for PostgreSQL. Covers query patterns, ExpressionBuilder, JSONB/arrays, migrations, and common pitfalls. Use when writing Kysely queries, creating migrations, debugging type issues, or working with a Kysely codebase.