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Found 7,127 Skills
Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.
Checks TrueFoundry connection status and verifies credentials (TFY_BASE_URL/TFY_HOST, TFY_API_KEY). Used as a preflight check before any TrueFoundry operation.
Implement the Syncfusion Angular MultiSelect Dropdown component (ejs-multiselect) for multi-value selection with checkbox support, tag/chip inputs, and searchable lists. Use this when building multi-select dropdowns, checkbox selection lists, or tag-based input fields. This skill covers filtering, CheckBoxSelection mode, cascading dropdowns, and data binding for the MultiSelect component.
Implements Syncfusion JavaScript accumulation charts (Pie, Doughnut, Funnel, Pyramid) for proportional and percentage-based visualizations. Use when displaying categorical or proportional data. Covers legend and label configuration, interactivity, accessibility, and customization. Works with TypeScript (modules) and JavaScript (CDN/ES5).
Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.
Set your primary ENS name on Base and other L2s. Use when user wants to set their ENS name, configure reverse resolution, set primary name, or make their address resolve to an ENS name. Supports Base, Arbitrum, Optimism, and Ethereum mainnet.
Generates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, write unit tests, improve test coverage, add test coverage, create test files, or test a codebase. Supports C#, TypeScript, JavaScript, Python, Go, Rust, Java, and more. Orchestrates research, planning, and implementation phases to produce tests that compile, pass, and follow project conventions.
Lobstr.io platform help — no-code web scraping platform with 50+ ready-made scrapers for Google Maps, LinkedIn Sales Navigator, Twitter, YouTube, and more. Features cookie-based login sync, scheduled automation, multi-threading, and a full API with Python SDK and MCP Server. Use when configuring a Lobstr scraper, exporting data to Google Sheets or S3, setting up scheduled scraping, working with the Lobstr API or Python SDK, or managing credits. Do NOT use for general prospect list strategy (use /sales-prospect-list), cross-platform enrichment strategy (use /sales-enrich), or integration strategy (use /sales-integration).
Team worker protocol (ACK, mailbox, task lifecycle) for tmux-based OMX teams
Terminal-based spreadsheet TUI tool written in Go for editing CSV files in the terminal with vim-like keybindings
AWS cloud resources including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, databases, serverless, messaging, and cost optimization. Monitor AWS infrastructure, analyze resource usage, optimize costs, and ensure security compliance.
Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging.