Loading...
Loading...
Found 122 Skills
Use the open-source free `coverlet` toolchain for .NET code coverage. Use when a repo needs line and branch coverage, collector versus MSBuild driver selection, or CI-safe coverage commands.
Points to the BlockchainSpider open-source Python/Scrapy toolkit for collecting on-chain data—transfer subgraphs around an address or tx, EVM and Solana block/transaction ingestion, receipts/logs, and optional label plugins. Use when the user wants to build datasets, offline traces, or research pipelines alongside blockchain-analytics-operations and solana-tracing-specialist—not as a substitute for RPC provider ToS, rate limits, or legal review of sensitive crawls.
Expert skill for Capso, the open-source macOS screenshot and screen recording app built with Swift 6 and SwiftUI — covers architecture, building from source, package APIs, and contributing.
Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.
GEOFlow open-source GEO/SEO content production system with AI generation, review workflow, and publishing pipeline built on PHP and PostgreSQL.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Trust Wallet open-source libraries — Wallet Core (HD wallets, address derivation, tx signing in Swift/Kotlin/TypeScript/Go for 140+ chains), Web3 Provider (dApp connection for Ethereum/Solana/Cosmos/Bitcoin/Aptos/TON/Tron), deep linking, browser extension integration, WalletConnect, token assets repository, and Barz ERC-4337 smart wallet. Use when working with trustwallet/wallet-core, @trustwallet/wallet-core, trust-web3-provider, Trust Wallet deep links, token logos/metadata from trustwallet/assets, or Barz account abstraction.
Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI assistant and automation platform supporting natural language-driven task automation with multi-channel chat integration. This Skill covers the full workflow from ECS instance creation, public network configuration, base environment setup, one-click OpenClaw deployment to DingTalk bot verification. End users can chat with the AI assistant by @mentioning the bot in a DingTalk group. Triggers: "OpenClaw", "龙虾", "Clawdbot", "Moltbot", "DingTalk bot", "DingTalk AI", "deploy OpenClaw on ECS", "AI agent platform", "DingTalk integration", "openclaw dingtalk", "openclaw deploy", "DingTalk AI employee", "Alibaba Cloud OpenClaw", "Bailian + DingTalk", "DingTalk group AI", "DingTalk smart assistant", "部署龙虾", "龙虾机器人", "龙虾钉钉"
This skill should be used when the user needs to optimize a resume for software engineering, product management, or technical roles. Use when tailoring a tech resume to emphasize engineering contributions, open-source work, system design, or technical leadership for software and product positions.
Use when contributing to the CopilotKit open-source project — forking, cloning, setting up the monorepo, creating branches, running tests, and submitting pull requests against CopilotKit/CopilotKit.
Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality improvements rather than direct text generation.