research-deep
Skill1 starsChanged 9 months agoNo licenceView on GitHub
Investigación ultra-profunda sobre temas complejos usando múltiples fuentes y agentes. Usa cuando necesites el nivel más exhaustivo de investigación posible, combinando búsqueda, lectura de papers, síntesis y conclusiones accionables.
Other versions6 projects use a version of this.
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- Weizhena/Deep-Research-skills★ 2.2ksame name
- wrg32786/aigent-os★ 23same name
- schub-tech/llm-ideation-wiki★ 11same name
- 200iqlabs/shared-skills★ 4same name
- shreyas-makes/agent-skills★ 2same name
- vikneshwaran16032005-alt/claude-skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use research-add-fields, research-add-items and 2 more.
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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
vikneshwaran16032005-altSkillresearch-add-fields
Add field definitions to existing research outline.
Also in 3 projects that use this
- vikneshwaran16032005-altSkill
research-add-items
Add items (research objects) to existing research outline.
Also in 3 projects that use this
mayuemarsha-delSkillresearch-report
Write structured research reports when the task is to 调研某个产品 / 赛道 / 竞品 / 能力方向，整理成正式调研报告，做横向对比分析，或输出"背景、目标、产品清单、摘要总结、调研明细"的研究文档。Use when the user asks for 调研报告、产品调研、竞品调研、应用层产品分析、页面结构对比、架构 / 算法 / 计费方式对比，尤其 when the output must first give 结论 and then detailed analysis.
Also in 3 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 3 projects that use this
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