Build a high-signal AI intelligence brief from fresh web sources, with separate daily and weekly formats. Use when the user asks for latest AI news, trend monitoring, market/tech updates, or actionable AI scouting reports for business decisions.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill ai-intel-radar --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Ai Intel Radar?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/modbender-ai-intel-radar)More formats (shields.io, HTML) on the badges page.
---
name: ai-intel-radar
description: Build a high-signal AI intelligence brief from fresh web sources, with separate daily and weekly formats. Use when the user asks for latest AI news, trend monitoring, market/tech updates, or actionable AI scouting reports for business decisions.
---
# AI Intel Radar
Produce concise, decision-ready AI intelligence in Chinese by default.
## Mode selection
- If user asks "today" / "daily" / "最新": use **Daily mode**
- If user asks "this week" / "weekly" / "本周": use **Weekly mode**
- If unspecified: default to **Daily mode**
See source guidance in `references/sources.md`.
## Daily mode output (strict)
1. **3条快讯**(发生了什么)
2. **2条技术深度**(为什么重要)
3. **1条商业判断**(潜在影响)
4. **3条可执行建议**(本周可做)
Each item must include:
- 结论一句话
- 1条来源链接
- 时间(若可得)
## Weekly mode output (strict)
1. **趋势变化(3条)**
2. **机会清单(3条)**
3. **风险清单(3条)**
4. **本周Top 3行动**
## Quality rules
- Prefer official and primary sources first.
- Avoid hype and repeated rumor chains.
- Mark uncertain claims as "待验证".
- Do not dump long lists; keep high signal only.
- If source freshness is weak, explicitly say so.
## Safety
- Never expose secrets/tokens.
- Never fabricate links.
- If no reliable updates are found, return a short "低变化日" summary.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
Wire a service's OpenTelemetry output to Sematext Cloud. Walks through region, App-type, instrumentation flow (managed OTLP endpoint vs Sematext Agent), and signal selection (traces/metrics/logs), then produces the exact env-var block and points at a runnable reference example in this repo. Invoke when instrumenting a new app for Sematext.
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.
Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.
Interact with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.