Discover documentation llm ai skills, compare source repositories and read the instructions for each workflow.
Transform an AI agent into a tasteful, disciplined development partner. Not just a code generator, but a collaborator with professional standards, transparent decision-making, and craftsmanship. Use for any dev...
This skill provides tools and techniques for e-commerce website automation. Includes advanced search, product comparison, cart management, checkout process and other common shopping scenarios. Suitable for task...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Neuro-symbolic AI combining LLMs with symbolic solvers. Use when implementing NL-to-logic translation, integrating Z3/Prover9/Pyke solvers, building self-refinement loops, or solving logical reasoning tasks.
TRIGGERS: "I'm done", "task complete", "finished coding", "ready for review", "/done", code explanation, defend my code, walk through, explain this code. USE WHEN: Junior completes a task and needs code compreh...
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...
TRIGGERS: "interview prep", "STAR story", "behavioral interview", "how do I talk about this?", interview stories, situation task action result, tell me about a time, problem solving story. USE WHEN: Completing...
Swagger automation and Generic response documentation.
Standards for creating new High-Density Agent Skills with optimal token economy.
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in paral...
Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration wo...
Turn ideas into clear, buildable specs for AI tools or stakeholder review. Use when starting features, planning projects, or when AI keeps building the wrong thing. Creates Quick Feature Specs (10-15 min) for i...
Use when user asks to leverage claude or claude code to do something (e.g. implement a feature design or review codes, etc). Provides non-interactive automation mode for hands-off task execution without approva...
Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.
Use when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode...
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.
Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context...
Migrate AI image generation from Google Gemini 2.5 Flash to BytePlus SeeDream v4.5. Use when: (1) User wants to switch from Gemini to SeeDream/BytePlus for image generation, (2) User asks about migrating image...
自动同步项目中的 Agents.md、claude.md 和 gemini.md 文件，保持内容一致性。支持自动监听和手动触发。
Shipany AI-powered SaaS boilerplate documentation. Use when working with Shipany framework, Next.js 15, TypeScript, Drizzle ORM, NextAuth, payment integration, or building SaaS applications.
Apply cognitive constraints that reshape thinking. Use when user needs code generation (/code), advice (/interview), critique (/critic), debugging (/debug), brainstorming (/creative), simplification (/simplify)...
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.