equinor/learnathon

最近记录的来源活动: 2026年3月12日 13:29

SkillsMP 收录数据更新: 2026年11月5日 19:57

已收集 skills: 2

GitHub 星标: 2
GitHub Forks: 1

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/equinor/learnathon.

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# Learnathon 2026 > **Learn by building, reflect by sharing, win by exploring** A hands-on learning event where teams explore AI-assisted software engineering by building something real — with security baked in throughout. | | | |---|---| | **Date** | March 18, 2026 | | **Time** | 8:00 – 16:30 | | **Venue** | EDC, one big room | | **Participants** | ~60 people, ~20 teams of 3 | --- ## The Day | Time | Phase | What Happens | |------|-------|--------------| | 8:00 | 🎯 Welcome & Setup | Form teams, open your Codespace, verify tools | | 8:45 | 📚 Learn: Toolbox & Workflow | Live demo of the full loop: spec → plan → build → verify → secure → ship | | 9:45 | 🔨 Lab 1: Mini-spec & Plan | Define what you'll build, get an AI-generated plan, push back, agree | | 10:30 | 🔨 Lab 2: Build Sprint 1 | First build iteration — small commits, continuous verification | | 11:50 | 🍕 Lunch | | | 12:35 | 🔐 Security Pulse | 15-minute security review of your codebase | | 12:50 | 🔨 Lab 3: Build Sprint 2 | Polish, fix, prepare your demo | | 14:30 | ☕ Break | Prep for demos | | 14:50 | 🎤 Ceremony: Show & Tell + Awards | Each team presents and gets rated, then winners revealed | | 16:30 | 🎉 Done | | --- ## The Workflow **Spec → Plan → Build → Verify → Secure → Ship** This is the loop you'll use all day. Write a mini-spec, let the agent plan, review the plan, build in small steps, verify as you go, check for security issues, and ship it. --- ## Tools Your Codespace comes pre-configured with everything you need. | Tool | What It Does | |------|--------------| | **GitHub Copilot Enterprise** | AI pair programming in VS Code — autocomplete + chat + agent mode | | **GitHub Spark** | Natural language → hosted web app (included in Copilot) | | **Claude Code** | Agentic coding in the terminal (`claude` command) | | **OpenCode** | Open-source alternative terminal agent (`opencode` command) | | **MCP Servers** | Custom tool integrations — connect your agent to external systems | Optional tools (Lovable, Bolt, v0, Cursor) are welcome but not supported. See `learning/tool-comparison.md` for details. --- ## Pick Your Challenge | Challenge | What You Build | |-----------|----------------| | 🎮 **Conference Stand Game** | Fun interactive game for the EDC booth | | 🔌 **Useful MCP Server** | Reusable tool for the community | | 🤖 **Custom Agent** | Shareable agent configuration | | 💡 **Bring Your Own Idea** | Your passion project — demoable in 3–5 min | --- ## Learning Bingo Each team gets a bingo card with methods to try. Not mandatory — but earns recognition! | | | | |:---:|:---:|:---:| | Spend time writing a spec | Push an architecture drawing to your repo | Use an MCP tool | | Intentionally customize your AI | ⭐ **TRY A NEW TOOL** ⭐ | Deploy to Radix playground | | Help another team | Create a skill | Identify a RISK with AI output | Get a line = recognition. Fill the card = **legend status**. *Tiebreaker: if two teams tie in an award vote, bingo progress decides.* --- ## Awards (You Vote!) After Show & Tell, you vote on all 6 categories at once. Winners are revealed one by one. | | Category | What It Rewards | |---|----------|-----------------| | 🥇 | **Best Creation** | Most impressive or useful output | | 🎨 | **Most Creative AI Use** | Unexpected or clever usage | | 🔐 | **Best Safety Practice** | Great security awareness | | 🚨 | **Best Risk Catch** | Spotted an important AI limitation | | 😂 | **Best Fail Story** | Funniest "AI went wrong" moment | | 🤝 | **People's Choice** | Overall crowd favourite | --- ## Show & Tell This is where the magic happens. Every team presents: | Part | Time | |------|------| | Demo your creation | 2 min | | Share your learnings | 2 min | | Q&A | 1 min | | **Total per team** | **5 min** | The learning story matters more than the polish. If your demo breaks live — that's a Learnathon moment. Tell us what happened. --- ## Getting Started 1. **Create your repo** from the template link (on screen / in chat) 2. **Open in Codespaces** — it takes a minute to start 3. **Add your API key** at `github.com/settings/codespaces` → New secret → `ANTHROPIC_API_KEY` 4. **Verify**: run `claude --version` in the terminal The participant environment is at [equinor/edc2026-vibe-environment](https://github.com/equinor/edc2026-vibe-environment). --- ## Submit Your Work Use these skills in your repo to share what you've learned: ``` /submit-gotcha — share an AI pitfall or lesson learned /submit-project — register your team's project ``` --- ## Resources | Resource | Where | |----------|-------| | Workflow card | `learning/workflow-card.md` | | Tool comparison | `learning/tool-comparison.md` | | Community gotchas | `learning/gotchas.md` | | Mini-spec template | `templates/mini-spec-template.md` | | Participant environment | [equinor/edc2026-vibe-environment](https://github.com/equinor/edc2026-vibe-environment) | | Facilitator guide | `docs/facilitator-guide.md` | | Coach cheatsheet | `docs/coach-cheatsheet.md` |

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submit-gotcha

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Submit an AI pitfall or lesson learned as a GitHub issue on the main Learnathon repo.

原文语言：英语

2026-03-12

submit-project

项目管理专家

原文语言：英语

2026-03-12

已展示 2 / 2 个已收集 Skill。