ai-news-research
1
总安装量
1
周安装量
#78416
全站排名
安装命令
npx skills add https://github.com/navikt/copilot --skill ai-news-research
Agent 安装分布
amp
1
cline
1
opencode
1
cursor
1
continue
1
kimi-cli
1
Skill 文档
AI News Research
Research AI coding agent news and write a monthly summary in Norwegian. Output: docs/news/<month>.md.
Step 1: Search
Run web searches (adjust month/year):
GitHub Copilot news [month] [year]AI coding agent trends [month] [year]AI coding agent hardening readiness enterprise [year]Reddit AI coding agents AGENTS.md skills context [year]site:github.blog copilot
Step 2: Fetch sources
For each hit, fetch the full page and extract facts, numbers, quotes, and the exact URL.
| Source | What to look for |
|---|---|
| github.blog | Official announcements, feature launches, deep-dives |
| Hacker News | Community reactions, real-world experiences |
| Practitioner sentiment, pain points, success stories | |
| Thought leaders, experience reports | |
| Anthropic, OpenAI, Google | Competing platforms, trend reports |
Step 3: Write the summary
Cover these topics when relevant news exists:
- Platform updates: Copilot, Agent HQ, competing platforms
- Agent context: AGENTS.md, skills, instructions, prompts
- Memory: Cross-agent memory, session persistence
- Agentic workflows: CI/CD, background agents, continuous AI
- Security: Sandboxing, safe outputs, access controls
- Readiness: Enterprise adoption, maturity models
- SDK/extensibility: Copilot SDK, MCP servers, custom agents
- Community sentiment: What developers actually experience
Write in Norwegian (bokmÃ¥l), direct tone, short sentences. Use English tech terms where developers do (e.g. “public preview”, “PR”, “repo”). See OUTPUT-FORMAT.md for the exact document structure and source citation rules.
Step 4: Nav relevance
End with a “Relevans for Nav” table. Nav context:
- GitHub Copilot as sanctioned AI coding tool, ~500 tech professionals
- Nais platform (Kubernetes/GCP), Kotlin/Ktor, Next.js
- Strong security/privacy/accessibility requirements
- Measures developer experience (SPACE framework, DORA metrics)