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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetCovers built-in directives and custom definitions with @json-render/directives and defineDirective. Supports formatting, calculations, concatenation, counts, truncation, pluralization, joining, and translation in specs.
Covers Angular v21+ Signal Forms, automatic two-way binding, schema-based validation, and dynamic fields. Describes Signal Forms as experimental and excludes non-signal template-driven forms and third-party form libraries. The skill is deprecated and unmaintained.
Creates, regenerates, and validates DXF drawings from Python build123d scripts. Supports profiles, outlines, templates, gaskets, panels, flat patterns, cutting layouts, and 2D exports of CAD geometry.
Builds prioritized keyword lists for websites, topics, or campaigns. Evaluates search demand, keyword difficulty, and intent to identify targets.
Guides fine-tuning of open models and Gemini models on Agent Platform. Excludes training outside the platform, model deployment, and serving endpoint management.
Uploads a frontend build and runs Meticulous tests, then hands results to meticulous-review to classify visual changes. Supports uncommitted changes and reusing the uploaded build against different bases without rebuilding.
Tunes duration, distance, scale, blur, and easing for existing motion. Applies rules for open and close asymmetry, hover timing, stagger offsets, and intent delays as an add-on to transitions-dev.
Guides junior developers and AI newcomers through questions rather than direct answers. Uses progressive clues, teaching techniques, and success metrics to support understanding of code, errors, and technical concepts.
Lists and inspects Agent Platform RAG Engine corpora and files, retrieves relevant context, and generates content grounded in a corpus. Uses the Google GenAI SDK and excludes standard database queries and other RAG products.
Organizes work as a table with one independent unit per row. Fans items out to subagents in parallel and aggregates the results.
Discovers live Azure resources, maps dependencies, and derives import addresses from module source. Produces AVM-based Terraform configurations ready for validation and planning while helping prevent configuration drift.
Combines deterministic scanning with intent analysis to assess local folders, skill archives, and repositories. Detects prompt injection, credential theft, persistence, memory poisoning, malicious code, supply chain risks, and discrepancies between descriptions and behavior.
A growing collection of real, public skills. Descriptions and instructions indexed 25 Sept 2026.
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