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Found 1,724 Skills
Create and deploy reusable React components for Webflow Designer. Configure existing React projects with webflow.json, build and bundle code, validate output, and deploy to workspace using library share. Use when building custom components for designers.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
Records completed work progress to .trellis/workspace/ journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.
Teaches AI to design landing pages that feel like $150k agency work. Defines exact fonts, spacing, shadows, card structures, animations, and Korean typography standards that make Supanova-generated pages feel expensive and intentional. Blocks all common defaults that make AI designs look cheap or generic.
INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval, score my spans or experiment, ax tasks, trigger-run, trigger eval, column mapping, continuous monitoring, query filter for evals, evaluator version, or improve an evaluator prompt.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Full-repo SAP Converged Cloud Go compliance audit. Reviews every package against established review standards — focusing on over-engineering, error message quality, dead code, interface contracts, copy-paste structs, and pattern consistency with keppel. Dispatches parallel agents by package group, each reading ALL sapcc rules. Produces code-level findings with actual before/after diffs. Invoked via "/sapcc-audit" or through /do.
Safe bulk editing across multiple Hugo markdown posts: find/replace, frontmatter updates, content transforms with mandatory preview before apply. Use when user needs batch text replacement, bulk frontmatter field changes, heading/link/whitespace normalization, or regex-based content transforms across posts. Use for "batch edit", "find and replace across files", "add field to all posts", "bulk update tags". Do NOT use for single-file edits, structural refactoring, or content generation.
Perses-aware code review: check Go backend against Perses patterns, React components against Perses UI conventions, CUE schemas against plugin spec, and dashboard definitions against best practices. Dispatches appropriate sub-reviewers. Use for "review perses", "perses pr", "perses code review". Do NOT use for general Go/React review without Perses context.
CLI-based image generation from text prompts using Google Gemini APIs via Python. Use when user needs "generate image", "create image with AI", "gemini image", "text to image", "create sprite", or "generate character art". Supports model selection, batch generation, watermark removal, and background transparency. Do NOT use for web app image features (use nano-banana-builder), video/audio generation, or non-Gemini models.
Gold-standard code review for SAP CC Go repositories against the project's lead review standards. Dispatches 10 domain-specialist agents in parallel — each loads domain-specific references and scans ALL packages for violations in their assigned domain. Produces a prioritized report with REJECTED/CORRECT code examples. Optional --fix mode applies corrections on a worktree branch. This is the definitive "would this code pass lead review?" assessment.
Spawn 10 independent parallel agents to analyze source material from distinct perspectives, synthesize findings, and apply improvements to a target agent or skill. Use when source material is complex and multi-angle extraction justifies 3-5x token cost over inline analysis. Use for "parallel analysis", "multi-perspective", or "deep extraction". Do NOT use for routine improvements, simple source material, or when token budget is limited.