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Found 537 Skills
Xiaohongshu Copy Optimization Agent System. Specialized in optimizing copy for eyewear products on Xiaohongshu, it supports reading content to be optimized and reference materials, and outputs high-conversion notes that comply with platform specifications. Usage scenarios: When users request to optimize Xiaohongshu eyewear copy, generate Xiaohongshu eyewear notes, or need to refer to platform hot words and writing specifications.
Preview of the Discord v10 HTTP API specification. See https://discord.com/developers/docs for more details.. Use when working with the Discord HTTP API (Preview) or when the user needs to interact with this API.
Create or update a feature specification from a natural language feature description.
Create semantic git commits following Conventional Commits specification. Use when committing changes, making commits, or when asked to commit.
Craft elegant technical specifications with ASCII artistry, flow diagrams, and the Grove voice. The swan glides with purpose—vision first, then form, then perfection. Use when creating specs, reviewing documents, or transforming technical plans into storybook entries.
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management. One step per invocation. State machine: init → choose_task → implementation → review → fix → cleanup → sync → update_done. Supports --from-task and --to-task for task range filtering. State persisted in fix_plan.json.
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
Gate 2 sub-skill - validates uncertain mappings from Gate 1 and confirms all field specifications through testing.
Conduct deep research using NotebookLM integration — upload documents, query with citation-backed answers, synthesize findings, and produce infographic-style presentations. Output in Markdown, HTML/reveal.js slides, or Mermaid diagrams with visual hierarchy design specifications.
Spec Status - displays pipeline progress dashboard for a single specification showing document statuses, blockers, and next action.
Review Specification - validates documents for completeness, quality, and consistency against the codebase. Use when checking spec quality at any pipeline stage.