Comprehensive research methodology combining scholarly research, scientific data analysis, evidence synthesis, source evaluation, and systematic review practices for producing…
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
Fan-out-Recherche + adversariale Verifikation + zitierter Report. Trigger: tiefe Recherche.
Given outputs from 5 research sub-agents (time-sliced or partitioned), validate and synthesize them into a coherent, citation-backed Markdown deep research report with…
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution.
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafte — from…
ZAI/GLM uyumlu derin web araştırma skilli. Sadece Hermes native araçlar (web_search, web_extract, terminal) kullanır. Dış API key gerekmez (Google, OpenAI, Gemini yok).
中文深度调研工具。基于 academic-deep-research fork，针对中文场景优化：自动生成中文 PDF（内嵌样式、容错降级）、Tavily 搜索集成、飞书自动交付。适用于竞品分析、行业调研、政策研究等需要严格方法论的场景。使用 native OpenClaw 工具（web_search, web_fetch,…
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Enables thorough multi-source research beyond quick answers. Use for: deep search, comprehensive research, research thoroughly, `internet-enabler`.
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro).
Master the art of focused, distraction-free work. Enter flow states reliably, protect your attention, and produce your best work consistently.
Research DeepBook trading data and market gaps on Sui. Use when the user wants DeepBook research, market opportunities, or underserved pairs.
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery — from…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurizat — from…
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery — from…
Full specialist analysis via parallel agent dispatch. Researcher, Architect, and PM produce a prioritized report of what to build next (30-60s).
Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-dive and adversarial agents run in parallel to elaborate and…
Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a researc — from…
Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a researc — from…
Deep ReSearch Conversation is provided by Baidu for multi-round streaming conversations with "Deep Research" agents.
Comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic.
Run and monitor PapersFlow DeepScan jobs. Use when the user wants long-running research progress, intermediate findings, final reports, or plotting from a completed run.
Deep internet research agent for training domain-specialist agents. Use when: researching a technical domain to create a specialist agent, training a new agent on an unfamiliar…
Use DeepSeek Web as a verified second-opinion partner for difficult planning, architecture, debugging, product, content, research, risk-review, and Skill-design work.
Local-first deep research like OpenAI Deep Research: generates questions.md + response.md artifacts and enforces a time budget.
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXi — from…
Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets,…
ByteDance's open-source super agent harness — spawns parallel sub-agents, Docker sandbox execution, persistent long-term memory, modular skills (research/report/slides).
Analyze manufacturing defect detection and quality control systems — computer vision inspection pipelines, SPC control charts, Six Sigma process capability (Cp/Cpk), defect…
學位口試與研討會問答的『答辯教練』。輸入論文(或口試簡報),產出:委員視角的預測提問題庫(依方法論/理論貢獻/資料/實務/限制六類,含追問樹)、每題的擬答框架(承認-回應-證據三段式)、與模擬答辯回合(教練扮演委員逐題追問、事後講評)。適用:碩博士學位口試、博士候選人資格考核(前三章口試)、論文研討公開發表、研討會…
DefiLlama API integration for DeFi analytics - TVL, prices, yields, volumes, fees, bridges, and DAT data.
Research Sui DeFi TVL, protocols, and yield via DefiLlama. Use when the user wants Sui DeFi data, TVL, or protocol research.
Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features,…
Defines a testable hypothesis with clear success metrics and validation approach. Use when forming assumptions to test, designing experiments, or aligning team on what success…
Run applicable prioritization frameworks (RICE, ICE, MoSCoW, Weighted Scoring, Kano) against a list of features or initiatives.
Literature-grounded variable operationalization for observational research. Turns a data dictionary + research question into a citation-backed table of exposure/outcome/covariate…
Defines form field specifications including validation rules, error states, and submission behavior. Updates the "フォーム仕様" section in screen spec.md.
Filter degenerate, uninformative inputs before statistical tests: single-sequence alignments, empty files, constant features, zero-variance inputs, all-NaN columns.
De-identify clinical research data before LLM-assisted analysis. Standalone Python CLI detects PHI via regex + heuristics with 10 country locale packs (kr, us, jp, cn, de, uk, fr,…
Use Elves to hand a bounded development or research plan to a separate Claude Code or Codex worker while preserving run files, worktree safety, review gates, and human merge…
Delegate tasks to OpenSpace — a full-stack autonomous worker for coding, DevOps, web research, and desktop automation, backed by an extensive MCP tool and skill library.
x.com / X 上の投稿・アカウント・話題・反応を調査する作業を、X 調査 capability を持つ子プロセスへ委譲するスキル。 ユーザーが X、x.com、Twitter、ポスト、スレッド、アカウント、ハッシュタグ、炎上、世論、直近の反応、 コミュニティノート、投稿URLの確認などを調べたい場合に使う。main agent 側で X…
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.
Know whether a message was accepted, delivered, opened, and acted on, and treat failures as events rather than statistics.
Interrogate a demand forecast before the business commits supply and inventory to it. Use when asked to review a demand plan, challenge a forecast, check forecast accuracy,…
Исследование спроса и семантики: анализ упущенного спроса, сезонный прогноз бюджета, каннибализация ключевых, верификация интента.
Use when defending the research design of a Demography (PAA / Duke University Press) manuscript — choosing among demographic methods (life tables, decomposition,…
Use when a task needs the judgment of a demographer — building a cohort-component population projection, reconciling fertility/mortality rate estimates against ACS or…
統一 dep 升級入口 — 依輸入分兩個 mode。(1) 在 consumer cwd 無參數觸發 → § Outdated batch mode：跑 pnpm outdated 後逐 pkg 派 codex 在 worktree 升版 + 驗證 + commit + 失敗升 high research。(2) 在 clade home 給…
Documentation site for dependabit Use when: Tracking research papers that your project cites or implements, to be....
Resolve and migrate runtimes, frameworks, SDKs, generators, plugins, and libraries from their authoritative current release sources.
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles.
Deep multi-source research combining academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and local ~/.topos knowledge base.
Turn a validated idea into a risk-ordered sequence of experiments and build steps, with one hard rule — no product code is scheduled before the test that de-risks it.