Turn creative briefs into structured cinematic prompts for Higgsfield image and video models.
Project overview
Higgsfield AI Prompt Skill helps an agent turn a natural-language brief into a structured prompt covering model choice, camera, subject, look, and action. It adds platform-aware camera controls, genre recipes, character-consistency guidance, model selection, and troubleshooting for image and video work. The library is useful for ads, narrative scenes, and other cinematic production workflows. It only constructs and refines prompts; generation itself must be run through Higgsfield's CLI, MCP connector, bundled skills, or web platform.
Turn research papers into structured Chinese invention-patent drafts and figures.
Project overview
paper2patent provides prompt templates and an agent skill for transforming a research paper into a Chinese invention-patent application draft. It guides the model through the abstract, up to ten claims, the specification, and black-and-white flowcharts or block diagrams under explicit formatting rules. Supporting scripts can generate figures, export DOCX or PDF files, and check whether a draft introduces content not supported by the source paper. The workflow can be loaded into Codex, Claude Code, Cursor, Windsurf, and similar skill-aware tools.
Research an industry and generate an installable domain-knowledge Agent Skill.
Project overview
master-skill researches a chosen niche across six tracks: leading practitioners, tool maps, workflows, canonical knowledge, information sources, and terminology standards. It then distills the material into a runnable Agent Skill with companion shell commands, source checks, claim tracing, quality gates, and installation tooling. Generated skills can be installed for Claude Code, OpenClaw, Codex, or Hermes. The repository describes a full research and generation run as taking roughly 30 to 60 minutes.
Prompt packImage generation and editingClaude Code
GPT-Image2-Skill
@wuyoscar·Python
Generate and edit GPT Image 2 visuals with curated prompts and a CLI.
Project overview
GPT-Image2-Skill combines a curated prompt gallery, an Agent Skill, and the `gpt-image` CLI for OpenAI image generation and editing. You can request gallery examples in natural language from Codex, Claude Code, OpenClaw, Hermes, and similar runtimes, or copy prompts into the command line and adapt them for posters, UI mockups, game interfaces, photography, maps, typography, or reference-image edits. The repository also explains prompt structure in English and Chinese. Scientific figures are framed as references or reproducible workflow targets, not unchecked final publication assets.
Plan, draft, and maintain long-form fiction with a coordinated agent workflow.
Project overview
Install awesome-novel in Claude Code, start it from a novel folder, and let a coordinator guide worldbuilding, character setup, volume and chapter planning, drafting, cleanup, review, and archiving. The project keeps settings, progress, and finished chapters in editable Markdown files, so authors can inspect or revise them directly. It supports step-by-step approval or a hands-off mode; personal use is free, while commercial use requires separate permission.
Turn source material into consistent hand-drawn Chinese presentation images.
Project overview
Ian Handdrawn PPT helps Codex turn articles, course notes, outlines, or talks into a visual sequence before generating the pages. It produces a 21:9 cover, 16:9 hand-drawn Chinese explanation images, and a contact sheet for reviewing consistency. The workflow is suited to article illustrations, lessons, and knowledge cards, but its deliverables are PNG page images rather than editable PPTX, PDF, vector, or interactive files.
Find, organize, and share reusable prompts for different AI tools.
Project overview
AiShort is a multilingual prompt library where users can search by keyword or scenario, copy a prompt, and paste it into ChatGPT-style interfaces, coding assistants such as Cursor, or their own API workflows. Browsing does not require an account. Signed-in users can organize collections, create custom prompts, export their data as JSON, and publish or discuss prompts with the community. The library is available as a website and browser sidebar extension, can be self-hosted, and offers an offline edition that stores data locally for intranet or air-gapped use.
Turn a short-film idea into a cinematic prompt for major video models.
Project overview
Give the Claude Code skill a short-film idea and it structures the theme, scene, atmosphere, camera rules, and storyboard into a model-ready prompt. It includes genre templates, failure-to-fix examples, and a browser-based prompt library for Sora, Kling, Veo, Seedance, and similar tools. Some original Mx-Shell materials are educational references and require separate permission for commercial use.
Build clear, audit-friendly /goal prompts for long-running OpenAI Codex tasks.
Project overview
goal-prompt-builder guides Claude through writing a Codex objective with five explicit sections: Objective, Scope, Constraints, Done when, and Stop if. It can detect the project type, read AGENTS.md or CLAUDE.md rules, choose among scenario templates, and score the result for auditability before rendering a copy-ready command. It requires a Claude client with skill support and Codex CLI 0.128.0 or later, where the /goal command is available.
Add fantasy-themed investigation, planning, monitoring, and automation procedures to Hermes.
Project overview
Wizards of the Ghosts is an unofficial Hermes Agent skill pack that maps 123 fantasy spell and skill names to practical modes for investigation, planning, monitoring, repair, messaging, and automation. Its generated surfaces can be installed into Hermes or OpenClaw, and the same spells are exposed as slash commands in Claude Code. The pack is mainly procedural Markdown that guides reasoning and operating patterns inside an existing agent session. References to external APIs or systems do not mean the repository ships dedicated integrations for them.
Distill local memories and chats into personas for reflection and role-based dialogue.
Project overview
Forge is a local-first Claude Code persona engine with separate workflows for modeling yourself and approximating another person's voice and interaction patterns. A self persona can support reflection and multi-agent decision discussions, while a person persona can be used for memory-based role dialogue. The repository includes parsers for chats, diaries, and social material, plus local persona files, validation, versioning, and decision logs. It is explicitly intended for personal memory and emotional healing, not harassment, tracking, or privacy invasion.
Learning resourceProject and product managementClaude Code
plaid
@BuildGreatProducts·JavaScript
Guide founders from product ideas through validation, planning, design, and launch.
Project overview
PLAID is a documentation-driven agent skill that guides founders through product discovery, validation, planning, design, launch, and roadmap execution. Structured conversations capture the user's background, audience, business intent, constraints, product direction, and desired experience, then produce artifacts such as a product idea, validation report, vision, PRD, roadmap, design specification, and go-to-market plan. It requires no additional runtime dependencies, but it is meant to run inside an AI coding environment that can load and follow the skill.
Guide coding agents from design and specification through implementation, verification, and review.
Project overview
Blueprint packages a focused software-delivery process into agent skills for design documents, specifications, planning, implementation, testing, browser verification, and code review. Teams can invoke one stage or coordinate tickets through review-ready pull requests. Completion is tied to tests and observable proof, and browser-based checks require a compatible automation setup.
Generate interactive diagrams, charts, comparisons, and explainers directly from agent conversations.
Project overview
visualise teaches an agent to produce self-contained HTML and SVG for clickable diagrams, live charts, comparison views, steppers, and other explainers. Clients that render its visualizer code fence can display the result inline in a sandboxed frame. In unsupported clients, the generated HTML remains usable as a standalone browser file.
Draft and adapt AI prompts from a library of structured templates.
Project overview
Structured Prompt Skill combines a Claude Code skill with a library of more than 395 templates for personas, system prompts, and common AI tasks. Users can choose a suitable structure, adapt it to a specific situation, and reuse the resulting prompt across different AI tools. It provides reusable starting points and prompting frameworks rather than executing an end-to-end workflow for the user.
Build cinematic Higgsfield prompts with model, camera, character, and motion guidance.
Project overview
Describe the scene you want, and this Claude skill library structures a Higgsfield prompt around model, camera, subject, look, and action. Its sub-skills cover character consistency, model selection, Seedance workflows, Kling motion control, campaign planning, and diagnosis of failed generations. The library writes and refines prompts but does not submit jobs itself; generation still requires a Higgsfield account and the website, CLI, MCP connector, or official execution skills.
Builds a vendor-neutral operating model for an enterprise architecture function.
Project overview
Enterprise Architecture Team helps an organization establish and run an enterprise architecture function, from its charter and target-state vision to principles, standards, stakeholder engagement, maturity assessment, portfolio rationalization, and decision records. It is aligned with TOGAF while remaining vendor-neutral and can route a request to one artifact or a complete operating blueprint. A matching GitHub Copilot prompt file keeps the workflow available outside Claude.
Analyze A-share, Hong Kong, and US companies as long-term businesses
Project overview
Deep Stock Analysis provides a Buffett-style framework that treats a stock as a whole business rather than a short-term price forecast. It asks the analyst to separate facts, assumptions, inferences, and opinions while examining the business, moat, management, financial quality, intrinsic value, margin of safety, and reasons not to buy. The templates work as plain prompts or a Claude Skill across three markets. They are for research and method practice, not investment advice, and current data must be checked independently.