deep-research
Conduct comprehensive multi-source research on any topic with synthesis and quality assessment
Conduct comprehensive multi-source research on any topic with synthesis and quality assessment
Generate properly formatted citations and references from research
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
้้ขๅฎกๆ ธๅทฅๅ ทใๆฃๆฅ้้ขๆฏๅฆ็ฌฆๅๅๅธๆ ๅ๏ผ็ปๅบ้่ฟ/ไธ้่ฟๅคๆญๅไฟฎๆนๅปบ่ฎฎใๅฝ็จๆท่ฏด"ๅฎกๆ ธ้้ข"ใ"่ฟไธช้้ข่กไธ่ก"ใ"ๅธฎๆ็็่ฟไธช่ฝไธ่ฝๅ"ๆถ่งฆๅใ
Prepare article for publication by running all pre-publication checks (internal links + fact-check) in parallel. Use when user asks to finalize, prepare for publication, or do final checks on an article.
Perform thorough fact-checking of an article against authoritative official sources. Use when user asks to verify facts, check article accuracy, or validate claims before publication.
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
X(Twitter) ๊ฒ์ ๋๊ตฌ. ํค์๋ ๊ฒ์๊ณผ ์ง์ ๊ณ์ ํธ์ ์กฐํ๋ฅผ ์ํํ๋ค. Use when: X์์ ์ฃผ์ ๊ฒ์, ํน์ ๊ณ์ ํ์๋ผ์ธ, ํธ๋ ๋ยท๊ฒ์๋ฌผ ํ์ ์ด ํ์ํ ๋.
Daily wisdom review applying Charlie Munger's mental models to your work and thinking. Use when asked to review decisions, analyze thinking patterns, detect biases, apply mental models, do a "Munger review", or run the Munger Observer. Triggers on scheduled daily reviews or manual requests like "run munger observer", "review my thinking", "check for blind spots", or "apply mental models".
Three-Layer Memory System โ automatic fact extraction, entity-based knowledge graph, and weekly synthesis. Manages life/areas/ entities with atomic facts and living summaries.
X (Twitter) search tool for keyword search and fetching tweets from a specified account. Use when: searching X for topics, reading a user timeline, or tracking trends and posts.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Sibyl ็่ฎบ็ ็ฉถ่ agent - ๆณจ้ๆฐๅญฆๅบ็กๅ็่ฎบไฟ่ฏ็็ ็ฉถๆๆก
Sibyl ๆ็่ฎบ่ agent - ไปฅๆๅคงๆ็ๆๅบฆๅฎก่งๅฎ้ช็ปๆ
Sibyl Rebuttal ่พฉๆค่ agent - ็ฉทๅฐฝ่งๅบฆไธบ่ฎบๆ่พฉๆค
Sibyl Rebuttal ๆ็ฎๆ็ดข agent - ๅผ็ปๆฎๅ ธ๏ผๆ้ๆฏๆ่ฎบๆฎ
Sibyl ๆจกๆ Reviewer agent - ไป็ๅฎ reviewer ่ง่ง้ๆฐ่ฏไผฐ rebuttal
Sibyl ็ซ ่่ฏๅฎก agent - ่ฏๅฎก่ฎบๆ็นๅฎ็ซ ่
Sibyl ๆฐ้ขๆงๆฃๆฅ agent - ๆ็ดขๆ็ฎ้ช่ฏ idea ๆฏๅฆไธๅทฒๆ่ฎบๆๆ่ฝฆ
Sibyl ๆ็ฎ่ฐ็ agent - ไฝฟ็จ arXiv + Web ๅๆบๆ็ดข่ฟ่ก็ณป็ปๆงๆ็ฎ่ฐ็
Sibyl ๆน่ฏ่ agent - ่ๅปไฝๅ ฌๆญฃ็ๅญฆๆฏๆน่ฏ
Adversarial code review using the opposite model. Spawns 1โ3 reviewers on the opposing model (Claude spawns Codex, Codex spawns Claude) to challenge work from distinct critical lenses. Triggers: "adversarial review".