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Found 2,501 Skills
Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
Use when administering Proxmox VE hosts, creating and managing VMs with qm, managing LXC containers with pct, configuring storage, networking, clusters, and automating provisioning tasks via the Proxmox CLI.
Generates comprehensive unit tests with AAA pattern (Arrange-Act-Assert), edge cases, error scenarios, and coverage analysis. Creates test files matching source structure with complete test suites. Use for "unit testing", "test generation", "Jest tests", or "test coverage".
Map papers from the core set to each outline subsection and write `outline/mapping.tsv` with coverage tracking. **Trigger**: section mapper, mapping.tsv, coverage, paper-to-section mapping, 论文映射, 覆盖率. **Use when**: structure 阶段（C2），已有 `papers/core_set.csv` + `outline/outline.yml`，需要确保每小节有足够支持论文再进入 evidence/writing。 **Skip if**: 还没有 outline（先跑 `outline-builder`）或 core set 还没收敛。 **Network**: none. **Guardrail**: 覆盖率可审计（避免所有小节重复用同几篇）；为弱覆盖小节留下明确补救方向（扩 query / 合并小节）。
Generates well-structured unit tests using Vitest with the "given/should" prose format. Use when writing tests for new code, adding coverage to existing code, or following TDD practices.
Generate OpenHarmony C++ unit tests following HWTEST_F framework conventions. Supports Mock strategies, BUILD.gn configuration, NDK/NAPI interfaces, and maintains 75%+ coverage requirements with strict code style consistency. Use when generating unit tests for OpenHarmony C++ source files.
Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
Staff-level codebase health review. Finds monolithic modules, silent failures, type safety gaps, test coverage holes, and LLM-friendliness issues.
Gas optimization patterns for Solidity smart contracts. Use when optimizing contract deployment costs, runtime gas usage, or storage efficiency. Covers storage packing, custom errors, immutable variables, calldata optimization, loop patterns, assembly usage, and Solady gas-optimized alternatives. Triggers on tasks involving gas optimization, storage layout, deployment cost reduction, or EVM efficiency.
Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.
Pull Google Search Console data and perform search performance analysis. Use when asked about search rankings, clicks, impressions, CTR, index coverage, Core Web Vitals, or sitemap status. Trigger phrases: "search console", "GSC", "search performance", "clicks and impressions", "CTR analysis", "index coverage", "core web vitals", "URL inspection", "sitemap status", "ranking data", "search queries", "keyword positions".