Discover content media llm ai skills, compare source repositories and read the instructions for each workflow.
Guide for implementing Google Gemini API audio capabilities - analyze audio with transcription, summarization, and understanding (up to 9.5 hours), plus generate speech with controllable TTS. Use when processin...
Create and confirm article outlines before any drafting in the AI 实践记录 workflow.
End-to-end workflow for writing an article in the Real World AI Log project, focusing on practice-first, workflow-first collaboration.
Produce a first draft from an approved outline in the AI 实践记录 workflow.
Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from s...
Autonomous novel generation system that creates complete books from premise to final draft. Executes structured workflow including character creation, story outlining, chapter planning, drafting, and editing. U...
Google's advanced image generation for high-quality visual content
Communications skill for internal communications, press releases, messaging, crisis communication, and stakeholder updates. Use when crafting announcements, managing communications, or handling public relations...
Write in Nelson's voice for portfolio pieces, blog posts, and professional content. Use when generating new content that should sound like Nelson wrote it. Applies his natural patterns including specificity, pr...
Extract Question-Reasoning-Answer pairs from text. Use --context for domain-focused extraction. Validates answers are grounded in source text.
Refine tone and readability of approved drafts in the AI 实践记录 workflow.
iterate on research document based on user feedback. This skill requires a path to a document and feedback from the human
Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. U...
LLM completions and Lean4 theorem proving via scillm. Use when user needs "batch LLM calls", "parallel completions", "prove this mathematically", "formal verification", "Lean4 proof", or "JSON extraction from t...
Core DSPy fundamentals for signature design, basic modules (Predict, ChainOfThought), and program composition patterns. Use when creating new signatures, building simple DSPy programs, or learning foundational...
Expert in Move smart contract development on Aptos. Covers modules, resources, abilities, generics, fungible assets, digital assets, testing, security, and advanced patterns.
Use this skill to orchestrate autonomous implementation loops with ralph-tui. It guides you through creating a bite-sized, spec-aligned task list (prd.json) and setting up the execution environment.
Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywo...
Comprehensive status report for Startup multi-agent system. Shows bd stats, active tmux sessions, blocked issues, Decision Ledger history, and agent activity.
Branch skill for building and improving hooks. Use when creating new hooks, adapting marketplace hooks, validating hook structure, writing hook scripts, or improving existing hooks. Triggers: 'create hook', 'im...
Claude Codeのカスタムslash command（Commands）を設計・生成・更新する。 「/コマンドを作りたい」「この作業を毎回同じ手順でやりたいのでコマンド化したい」「.claude/commandsにテンプレを追加したい」 「Claude Codeのco...
This skill should be used when the user asks to "create a skill", "build a skill", "write a skill", "improve skill structure", "understand skill creation", or mentions SKILL.md files, skill development, progres...
Expert guide to the auto-generated GraphQL API (Queries, Mutations, Aggregations).
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.