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web-summary
Summarise a single web URL the user shares: fetch with read_url, produce a compact key-points reply. No external CLI, no API key.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Summarise a single web URL the user shares: fetch with read_url, produce a compact key-points reply. No external CLI, no API key.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Fetch and summarise recent papers from arxiv.org. Use this skill when the user wants a digest of today's or this week's cs.AI / cs.LG / cs.CL listings, a focused per-topic roundup, or a quick look at a specific submission.
Lightweight code-review checklist the agent runs before declaring a patch ready. Catches the obvious classes of issue (dead code, missing error handling, weakened tests) without a full security audit. Adapted from addyosmani's "Review" lifecycle phase.
Root-cause-first debugging loop for code or runtime errors: understand the failure before proposing a fix. Adapted from Hermes' systematic- debugging — same iron law, smaller surface, ZLAgent-tool-aware.
Do not declare a task done without running verification. For code, that means running tests / smoke; for answers, that means checking the claim against a fresh source. Adapted from obra/superpowers and addyosmani's "Verify" lifecycle phase.
Umbrella skill for user document workflows — PDF, Word, Excel, PowerPoint, text extraction, summarization. Dispatches to the right MCP / tool; proposes an install via mcp-discovery when no local capability fits. Adapted from Anthropic's docx/pdf/xlsx/pptx skills.
When the user wants something the agent doesn't have a tool for yet (travel planning, GitHub issues, Linear, weather, filesystem, ...), search the live MCP ecosystem for an existing server, propose installing it, and on confirm wire it up via mcp_manage. Adapted from Hermes' mcporter skill — same flow, ZLAgent-tool-aware.
| name | web-summary |
| description | Summarise a single web URL the user shares: fetch with read_url, produce a compact key-points reply. No external CLI, no API key. |
| version | 0.1.0 |
| tags | ["research","summary"] |
| metadata | {"zlagent":{"category":"research","triggers":["总结一下","看一下这个链接","这篇讲了什么","summarize this","tldr","what is this article about"],"capabilities":["web_query"],"related_skills":["news-digest","daily-paper-digest","arxiv"]}} |
Use this skill when the user shares a single URL (article, blog post, documentation page, README, news piece) and asks what it says or wants a short summary. Examples:
Do NOT use this when the user wants:
news-digest.arxiv / daily-paper-digest.url: the URL to summarise. If multiple URLs, pick the first and ask
whether to also process the others.focus: optional keyword the summary should bias toward (e.g. "只讲
和定时任务相关的部分").length: default "short" (~150 chars body) for IM, "medium" (~400)
when the user asks for more detail.read_url(url). If the response is gated (login wall, 403),
say so plainly and stop — never guess content.length budget. Cite the URL once at the end.read_url returned a paywall, error, or empty body.