跳到正文
cccskills
免费在 GitHub 公开

deep-research

Research questions on the web and produce a report with source links. Read full pages, check important claims against independent sources, and clearly distinguish supported findings from uncertain evidence or disagreements.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Procedure for answering a question with a thorough, cross-checked, cited web-research report using the Keenable search + fetch tools.

查看安装方法

适用场景

  • Research a question that requires current information
  • Cross-check important claims across independent sources
  • Compare conflicting accounts and explain uncertainty
  • Prepare a report with citations and a source list

包含的文件(1)

  • SKILL.md2.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

deep-research — cited, cross-checked web research

Use this for any question that needs current, verifiable information from the web. The deliverable is a synthesized answer where every load-bearing claim is backed by a source you actually read.

Tools

  • search_web_pages(query, [site], [published_after], [published_before], [mode]) — discover candidate sources. Write the query as a natural-language description of the ideal page, not keywords. Use mode: pro (default).
  • fetch_page_content(url, [max_chars]) — read the full page (markdown). A search snippet is NEVER sufficient evidence — fetch before you cite.

Procedure

  1. Plan. Break the question into 3-6 focused sub-queries that together cover it. For contested or high-stakes questions, plan at least two independent angles.
  2. Search. Run search_web_pages per sub-query. Prefer primary sources; use published_after for anything time-sensitive.
  3. Read. fetch_page_content on the 2-3 most promising results per sub-query. Quote/cite only what you read, not what a snippet implied.
  4. Cross-check. Verify every load-bearing claim against ≥2 INDEPENDENT sources (independent = different owners, not mirrors of one another). When sources disagree, surface the disagreement rather than picking silently.
  5. Synthesize. Write a structured answer. Each non-obvious claim gets an inline citation to the URL you fetched. Separate "well-supported" from "uncertain / single-source".
  6. Cite. End with a Sources list of the URLs you actually fetched.

Notes

  • Don't answer from prior knowledge with a disclaimer — search and read first.
  • If coverage is thin or sources conflict irreconcilably, say so explicitly; an honest "the evidence is mixed" beats false confidence.
  • Keep each sub-query narrow enough that a couple of fetches resolve it.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Test Omnigent’s native Antigravity integration with a live local server and the real agy CLI. Verify messages traveling between the web interface and terminal, mirrored replies, permission requests, interruption, session resumption, and process cleanup.

中文简介正在准备中。当前显示英语简介。

  • Testing message delivery from the web interface to agy
  • Checking terminal output against mirrored session replies
  • Verifying permission requests and interruption
omnigent-ai/omnigent1.1万2026年10月19日 更新

Test Omnigent’s Antigravity SDK integration against a live local server. Build test agents and run real conversations to check Gemini authentication, model selection, tool connections, and failures across the full execution path.

中文简介正在准备中。当前显示英语简介。

  • Test authentication and real Gemini responses
  • Verify tool connections and sub-agent delegation
  • Investigate model selection failures
omnigent-ai/omnigent1.1万2026年10月19日 更新

api-docs

免费

Create reference documentation directly from source code for public functions, classes, command-line commands, and endpoints. Organize parameters, defaults, return values, errors, and runnable examples, then check that the documentation matches the implementation.

中文简介正在准备中。当前显示英语简介。

  • Writing reference docs for a public module
  • Documenting command-line arguments and defaults
  • Adding minimal usage examples for an API
omnigent-ai/omnigent1.1万2026年10月19日 更新

Create an Omnigent agent directory using validated templates for configuration and instructions. Choose how the agent runs, then add web search, shell access, external tool connections, or subagents only when the task requires them.

中文简介正在准备中。当前显示英语简介。

  • Creating a minimal Omnigent agent
  • Configuring an agent with web search
  • Adding shell access or MCP tool connections
omnigent-ai/omnigent1.1万2026年10月19日 更新

changelog

免费

Turn a selected range of commits or merged pull requests into release notes grouped by change type. Describe user-visible effects, link to supporting changes, and highlight breaking changes so readers can assess an upgrade.

中文简介正在准备中。当前显示英语简介。

  • Write release notes covering changes since the last tag
  • Summarize pull requests merged during a selected period
  • Highlight breaking changes before an upgrade
omnigent-ai/omnigent1.1万2026年10月19日 更新

Test Omnigent’s setup, help, and terminal interactions by driving the real CLI in an isolated environment. Capture rendered screens and compare checks before and after a change to establish whether a reported interface problem was fixed.

中文简介正在准备中。当前显示英语简介。

  • Reproducing a first-run setup problem
  • Inspecting menus in a narrow terminal
  • Checking help text and command visibility
omnigent-ai/omnigent1.1万2026年10月19日 更新

查看 omnigent-ai 的全部技能

报告此技能的问题