.claude/skills/ai-desktop-researcherRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Use this skill when the user asks to research a market, industry, or competitive landscape. Also triggers on 行业调研, 竞品分析, 市场分析, 桌面调研, research this market, 调研一下, 帮我调研, 查一下XX市场. It enforces a structured credibility-scored research protocol (source tiering, cross-validation, graded conclusions) instead of ad-hoc web searching.
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.claude/skills/ai-desktop-researcherRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ai-desktop-researcherRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ai-desktop-researcherRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @coolhitbird/ai-2clawhub inspect @coolhitbird/ai-2 --version 0.1.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:23d6e94f98f5770086786ae40ece191b639c06924dde5e4345787620c5556b20skill-card.mdSKILL.mdSOP.mdai-desktop-researcher skill v0.1.0 - Initial Release - Implements a structured, credibility-scored desktop market/industry research protocol based on SOP v3.0. - Enforces five research stages: question definition, tiered source collection, cross-validation, graded conclusions, and review iteration. - Outputs findings with source credibility scoring (CR), source tiering, timestamps, and mandatory evidence links. - Each conclusion is labeled as ✅ fact, 🔶 inference, or ❓ unknown, and must include an action suggestion. - Includes strict disciplinary rules for researching and reporting, with transparency about data limits and confidence. - Designed for use when users request research or analysis on markets, industries, or competitors, in both Chinese and English.