deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
方案调研技能,对方案设计、功能实现进行多方案比对分析,至少3个方案,建议5个左右的方案比对,包括业界标杆方案、大厂实现方案等
On-chain analytics via Surf — raw SQL against 80+ indexed chain tables, structured queries, schema introspection, wallet labels (CEX/Whale/Bridge/MEV…), wallet net worth, transfers, DeFi positions, gas prices, bridge volumes, yield pools. Use when the user wants on-chain forensics, wallet intelligence, holder analysis, transfer tracking, or custom chain queries.
Crypto market data via Surf — prices, futures, ETFs, options, fear/greed, technical and on-chain indicators, token DEX flows, news, project profiles, VC fund holdings. Use when the user asks about market conditions, ranking tokens, futures positioning, technical signals, options skew, news context, or VC/fund intelligence.
CVE lookup and applicability assessment domain card. Use after reconnaissance has identified products, versions, services, or fingerprints and red-team mode needs evidence-based CVE matching before deeper testing.
Answer questions against the knowledge base wiki. Use when the user asks a question about their collected knowledge, wants to explore connections between topics, says "what do I know about X", or wants to search their wiki.
Run or plan this repository's pattern-adoption evidence evaluation locally with signed-in Codex agents. Use when asked to refresh stale evidence, assess stable or exploratory patterns, evaluate one or all catalog patterns, discover possible new patterns, or prepare a reviewable evidence PR without model-backed GitHub Actions or provider API keys.
Use when the user asks for discovery-scale research that informs a decision: brainstorming a project or feature, choosing a technology, or requests like "research X", "what's the state of the art", or "deep research". Use this skill to turn broad, uncertain questions into sourced decision evidence and a reusable research handoff. For narrow slice-level fact checks inside the build loop, /architect handles those inline.
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".