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Explore AI skills for development, content, data and productivity. Compare the description and repository popularity before opening a skill.

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Showing 11,017–11,040 of 96,528

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GitHub

site-tools

factory-ben

Use the public toolbox scripts published from docs/tools via tool-runner.js. Covers listing tools, executing them safely with droid exec context, and required environment variables.

GitHub

infographic-creator

cosZone

Create beautiful infographics based on the given text content. Use this when users request creating infographics.

GitHub

blog-writer

cosZone

帮助用户按照 astro-koharu 博客的规范创建新博文。自动生成正确的 frontmatter 结构、选择合适的分类路径,并提供 Markdown 内容框架建议。使用场景:写一篇博文、创建新文章、写文章、写博客、new post、create blog post。

GitHub

analyze-chat-export

oocx

Export and analyze VS Code Copilot chat logs for retrospective metrics. Extracts model usage, tool invocations, approval patterns, and timing data.

GitHub

simulate-uat

oocx

Simulate the UAT workflow (create PR, comment, poll) on GitHub or Azure DevOps using a minimal test artifact and simulated fixes.

GitHub

create-pr-azdo

oocx

Create an Azure DevOps pull request using az devops tooling; include the repo’s linear-history merge preference and ask the Maintainer if merge options differ.

GitHub

website-devtools

oocx

Use Chrome DevTools MCP tools to inspect rendering and troubleshoot website issues with the Maintainer.

GitHub

tinker-training-cost

sundial-org

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...

GitHub

tinker

sundial-org

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.

GitHub

training-data-curation

sundial-org

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.

GitHub

codex

sundial-org

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...

GitHub

ml-rigor

Yeachan-Heo

Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines

GitHub

ml-rigor

Yeachan-Heo

Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines

GitHub

build

whawkinsiv

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...

GitHub

monitor

whawkinsiv

Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-te...

GitHub

test

whawkinsiv

Test features before users find bugs. Use when feature is built, before deploying, or when bugs reported. Covers manual testing, edge cases, cross-browser testing, and testing checklists for non-technical found...

GitHub

security

whawkinsiv

Protect your SaaS app from common vulnerabilities. Use when building auth, handling user data, or deploying features. Covers authentication, data protection, API security, and OWASP Top 10 for non-technical fou...

GitHub

optimize

whawkinsiv

Optimize your SaaS app across four dimensions - Speed (page load, API response), Code (unused files, dead code), Database (orphaned data, schema hygiene), and Dependencies (package bloat, bundle size). Use when...

GitHub

scope

whawkinsiv

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...

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