Total 58,115 skills, AI & Machine Learning has 9659 skills
Showing 12 of 9659 skills
AI text humanization: reduce AI-detection patterns, natural phrasing, tone adjustment
Use when orchestrating multi-agent teams for parallel work — feature dev, quality audits, research sprints, bug hunts, or any task needing 2+ agents working concurrently
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
Generate text, images, and video from the terminal using AI models.
Put the USER into a ~45s Japanese-anime football short as the hero — from their photo + their favorite team + the opponent. Anime-fies the user's face into a consistent character sheet, designs a dramatic 3-act match (come on → equalizer → winner) with the user scoring, writes three 15s cel-shaded scene prompts (CAPS names + Japanese dialogue), generates them on Seedance off the sheets, and stitches them. A Japanese-anime football short built on the Pika MCP, but the star is YOU. Triggers: "/anime-soccer", "put me in an anime soccer video", "make me the anime football hero", "anime match with my photo". Requires the Pika MCP.
Summarize the last N agent sessions for the current project, grouped by date. Use when the user asks "recap", "what have we been doing", "this week", "today", or wants a rollup of recent work.
Summarizes a given article or webpage into key bullet points
Create, edit, and pipeline game assets using MeowArt, including pixel sprites, HD assets, backgrounds, UI mockups, seamless loops, texture tiles, dual-grid tilesets, background removal, pixel cleanup, simple animations, sound effects, and music/BGM generation. Use this when Codex needs to produce or refine game art or audio assets in the project, especially when selecting MeowArt commands, setting canvas sizes, choosing templates, generating music or SFX, or converting generated assets into game-ready files.
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS classification, or producing change-segmentation masks. Trigger phrases include "train Visual ChangeNet", "ChangeNet classify", "ChangeNet segment", "AOI defect detection", "PCB inspection model".
Add AI navigation in Unity 6: bake a NavMesh with the AI Navigation package (NavMeshSurface), move agents with NavMeshAgent.SetDestination, and handle dynamic obstacles. Use when setting up pathfinding, making an enemy chase the player, baking navigation, or when the user mentions NavMesh, NavMeshAgent, NavMeshSurface, NavMeshObstacle, or Unity pathfinding.
Deep market analysis and comprehensive research reports using Parallel AI Task API with pro/ultra processors. Multi-source synthesis with citations. No binary install — requires PARALLEL_API_KEY in .env.local.
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/