From fa85ae7fa58fa8e14f14291068c3d601f8c507c9 Mon Sep 17 00:00:00 2001 From: retoor Date: Sun, 25 Oct 2026 07:24:14 +0100 Subject: [PATCH] skills: regenerate bundled_data.cpp from tai.py (deep-research text drifted) Co-Authored-By: Claude Sonnet 5.5 --- taicpp/src/skills/bundled_data.cpp | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/taicpp/src/skills/bundled_data.cpp b/taicpp/src/skills/bundled_data.cpp index f1fb19b..4595ebf 100644 --- a/taicpp/src/skills/bundled_data.cpp +++ b/taicpp/src/skills/bundled_data.cpp @@ -9,7 +9,7 @@ const std::map>& BundledData::fi {R"detzraw(SKILL.md)detzraw", R"detzraw(--- name: deep-research -description: "End-to-end deep research that turns a question into a cited, verifiable report. Use whenever the answer needs many external sources rather than a single lookup: technology/library selection, code and architecture questions, academic or medical literature, market and company facts, policy and standards, and 'what's the latest' or capability/benchmark questions. Routes each sub-question to the most authoritative sources for its domain (GitHub and official docs for code, arXiv/OpenAlex/Semantic Scholar for scholarship, PubMed/Europe PMC for medicine, SEC EDGAR for company facts, vendor and official pages for products), gathers evidence in parallel, triangulates claims, and writes a structured report with dated citations. Trigger on 调研/研究/调查/综述/对比一下 X、帮我查清楚 X、X 的最新进展/评测数据/方案有哪些, and any request for a research report, literature review, landscape survey, or source-backed answer - even when the user does not say the word 'research'." +description: "End-to-end deep research that turns a question into a cited, verifiable report. Reach for it generously whenever external facts could help resolve the request: prefer it over a single lookup for technology/library selection, code and architecture questions, debugging or resolving an issue, academic or medical literature, market and company facts, policy and standards, and 'what's the latest' or capability/benchmark questions. Routes each sub-question to the most authoritative sources for its domain (GitHub and official docs for code, arXiv/OpenAlex/Semantic Scholar for scholarship, PubMed/Europe PMC for medicine, SEC EDGAR for company facts, vendor and official pages for products), gathers evidence in parallel, triangulates claims, and writes a structured report with dated citations. Trigger on 调研/研究/调查/综述/对比一下 X、帮我查清楚 X、X 的最新进展/评测数据/方案有哪些, troubleshooting and debugging questions, and any request for a research report, literature review, landscape survey, or source-backed answer - even when the user does not say the word 'research'." --- # Deep Research @@ -20,9 +20,10 @@ This skill is **self-contained and host-agnostic**. It defines the *method*; it ## When to use -Use it when the answer must be assembled from **multiple external sources** and needs to be current, comparative, or authoritative: +Use it generously whenever external facts could help resolve the request, especially when the answer needs to be current, comparative, or authoritative: - technical / library / architecture selection, migration paths, "X vs Y" +- debugging or resolving an issue: errors, unexpected behavior, root-cause analysis - literature reviews, "what does the research say about X" - medical, clinical, or life-science questions - market, company, competitive, or due-diligence facts