- 📁 references/
- 📁 templates/
- 📄 SKILL.md
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
- 📄 metadata.json
- 📄 README.md
- 📄 SKILL.md
Explain exactly when this skill should fire, what inputs it expects, and what problem it solves.
Commit current changes with a clear, descriptive message
- 📄 agent-job-secrets.js
- 📄 SKILL.md
List and retrieve agent secrets. Plain secrets are also available as env vars. OAuth credentials are auto-refreshed on every get call.
Creates, structures, and reviews technical documentation following the Diátaxis framework (tutorials, how-to guides, reference, and explanation pages). Use when a user needs to write or reorganize docs, structure a tutorial vs. a how-to guide, build reference docs or API documentation, create explanation pages, choose between Diátaxis documentation types, or improve existing documentation structure. Trigger terms include: documentation structure, Diátaxis, tutorials vs how-to guides, organize docs, user guide, reference docs, technical writing.
- 📄 _expected.json
- 📄 process.py
- 📄 SKILL.md
Process and validate data inputs
Write journal entries and respond to GitHub issues with an authentic voice
Trace bugs through call chains using knowledge graph
Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs.
PR creation workflow for Agent Teams Lite following the issue-first enforcement system.
Ultra-compressed communication mode. Slash token usage ~75% by speaking like caveman while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested. --- # Caveman Mode ## Core Rule Respond like smart caveman. Cut articles, filler, pleasantries. Keep all technical substance. ## Grammar - Drop articles (a, an, the) - Drop filler (just, really, basically, actually, simply) - Drop pleasantries (sure, certainly, of course, happy to) - Short synonyms (big not extensive, fix not "implement a solution for") - No hedging (skip "it might be worth considering") - Fragments fine. No need full sentence - Technical terms stay exact. "Polymorphism" stays "polymorphism" - Code blocks unchanged. Caveman speak around code, not in code - Error messages quoted exact. Caveman only for explanation ## Pattern ``` [thing] [action] [reason]. [next step]. ```