Loading...
Loading...
Found 251 Skills
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Activate a brutally honest, skeptical architectural partner that stress-tests ideas, architectures, and assumptions. Use when the user says "reality check", wants their design challenged, asks if their idea is sound, wants a devil's advocate review, or wants architectural critique without hand-holding.
Karl Marx's thinking framework and critical methodology. Epistemological principles, decision heuristics, rhetorical devices and polemic engines are extracted from 17 core works, to analyze social phenomena, economic issues and political events from Marx's perspective. Trigger WHEN: "from Marx's perspective", "what would Marx think", "Marx mode", "historical materialism analysis", "help me analyze from Marx's angle", "switch to Marx".
A methodology for iteratively improving agent-facing text instructions (skills / slash commands / task prompts / CLAUDE.md sections / code-generation prompts) by having a bias-free executor actually run them and evaluating two-sidedly (executor self-report + instruction-side metrics). Keep iterating until improvements plateau. Use it right after creating or substantially revising a prompt or skill, or when you want to attribute an agent's unexpected behavior to ambiguity on the instruction side.
Use this skill whenever a user asks to generate, create, draw, render, or edit images with GPT Image 2 / gpt-image-2, text-to-image, reference-image editing, inpainting, posters, typography, Chinese text, UI mockups, diagrams, or gallery prompts. Analyze the user's prompt, search the bundled Reference Gallery/craft files for matching design patterns, confer on direction when useful, then call the packaged `gpt-image` CLI or bundled `scripts/generate.py`. Do not write new image-generation code unless explicitly asked to modify this repo.
Convert a local AGENT.md into a Claude Code optimized agent. Audits one agent against Claude Code runtime behavior, creates a per-agent DAG rewrite plan with source-backed guardrails, and optionally rewrites the frontmatter and system-prompt body so the agent is thinner, more role-specific, and better aligned with Claude's agent runtime. Use when the user says "convert this agent to Claude", "normalize this AGENT.md", "thin this agent", or "rewrite this persona for Claude Code".
Generate a detailed AI image prompt for creating an attractive female UGC ad character. Use when the user wants to create a "hot girl" character image for UGC ads, influencer-style content, product testimonials, or social media ad creatives. Triggers on requests like "create a UGC girl", "hot girl for ads", "female influencer image", "UGC character", "testimonial girl", or any request for a female character for ad/UGC content.
Write dense storyboard-grid prompts for short-form image or previsualization workflows. Use this when a generation controller needs a 6-9 panel grid with hook logic, visible actions, product timing, and negative constraints before image or video request architecture.
Generate cartoon and animation style video prompts for Seedance 2.0 (Higgsfield). Use this when users want cartoon, 2D animation, cel shading, hand-drawn, illustration, flat animation or motion graphics animation style videos. Trigger words: cartoon, animation, cel shading, hand-drawn, illustration, flat design animation, vector animation, retro cartoon, rubber hose, motion graphics or any cartoon/animation style request. Use it even if users vaguely say "make it look like animation" or "fun and colorful style".
Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.
Build tools that agents can use effectively, including architectural reduction patterns
This skill should be used when the user asks to "create a replit prompt", "write a prompt for replit", "optimize for replit agent", "prepare instructions for replit", or mentions building something with Replit Agent. Transforms user requirements into optimized, structured prompts that Replit Agent understands and executes accurately with minimal iterations.