Research

Conduct proactive, hypothesis-driven threat hunting. Use when performing advanced hunting based on threat intelligence, TTPs, or anomalies. For Tier 3 analysts or dedicated threat hunters. Supports iterative search, pivoting, and comprehensive documentation.

Hunt for lateral movement using PsExec, WMI, or similar techniques. Use when proactively searching for attackers moving through your network using admin tools. Searches for service installations, remote process execution, and suspicious network correlations.

Hunt for a specific APT/threat actor in your environment. Use when you have a threat actor name or GTI collection ID and want to search for their TTPs and IOCs. Gathers intelligence from GTI, searches SIEM for IOCs and TTP-based indicators, and documents findings.

在 AST JSON 上做信号路径追踪：source → sink 提取跨模块层次的传播路径，判定是否跨时钟域。供 CDC violation 根因分析与 critical path 辅助。触发场景：(1) bb-check-cdc 报 violation 需取证；(2) 综合 critical path 分析；(3) 显式 /bb-trace-signal-path。

调用 OpenSTA 2.5.0 做静态时序分析（STA）。综合阶段验证 WNS/TNS；PD 阶段做 post-route signoff（多 PVT corner + SPEF）。触发场景：(1) bba-guru-synthesis 综合后查 timing；(2) bba-guru-pd 布线后跑 multi-corner signoff；(3) 显式 /bb-invoke-opensta。

**[DEPRECATED in v1.3 — common path uses bb-invoke-yosys' embedded ABC]** 独立调用 ABC（Berkeley Logic Synthesis）做逻辑优化，仅 `mapping_effort=high` 等高级调优场景使用。触发场景：(1) bb-invoke-yosys `chain_to_abc=true` 时；(2) 显式 /bb-invoke-abc 调试。

Use when debugging a Mendix pluggable widget bug — visual glitch, broken scrolling, missing data, stale state, or interaction bugs that need runtime evidence before fixing.

Diagnose and respond to production incidents. Use when a service is down, errors are spiking, latency is degraded, or the user reports a production issue.

Daily research idea generator and 军师 (strategic advisor) for any academic research area. Reads your papers, monitors arXiv and configurable top venues daily, and proposes bold, ranked research ideas saved as a daily digest. Invoke this skill whenever the user asks for research ideas, says "what should I work on", asks to see today's arXiv, wants a paper digest, wants to brainstorm their next project, or wants strategic research advice in any field. Also use this when the user says they want t...

Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

Unified YouTube script creation for cardiology channels in Hinglish. Uses the COMPLETE research-engine pipeline (channel scraping, comment analysis, narrative monitoring, gap finding, view prediction) combined with RAG + PubMed for evidence. Data-driven topic selection, 15-30 min educational videos with 6-point voice check.

Analyzes medical education content ideas from PDFs/DOCX files to predict viral potential (views, likes, shares, AVD) and provides actionable insights. Use when the user needs to evaluate content ideas for engagement potential, get predictive analytics on video performance, research trending topics in medical/health niches, analyze YouTube comments and audience sentiment, identify knowledge gaps and myths, or prioritize content ideas based on viral likelihood.

Write data-driven, evidence-first long-form Twitter posts on medicine and cardiology. Use when the user wants to: (1) Create thought leadership content in the style of Eric Topol, Peter Attia, Andrew Huberman, or Rhonda Patrick, (2) Present clinical evidence with charts, data, and Q1 journal citations for educated non-specialist audiences, (3) Write confident, matter-of-fact medical content that is rigorous without being inaccessible, (4) Explain trials, drugs, or medical phenomena using data...

Rigorous statistical analysis guidance for interpreting and reporting research findings in cardiology content.

Core skill for producing research manuscripts, evidence-based articles, and publication-quality scientific content with rigorous standards.

Systematic evaluation of research rigor through methodology assessment, bias detection, and evidence quality frameworks.

Direct REST API access to the National Library of Medicine's biomedical literature repository for systematic reviews and research analysis.

Systematic framework for conducting rigorous peer review of scientific manuscripts and content.

Parallel search across PubMed, Perplexity, and your knowledge base. Searches all sources simultaneously and synthesizes findings with citations. Faster evidence gathering for clinical questions.

Create evidence-based medical newsletters for interventional cardiologists in Eric Topol's authoritative Ground Truths style. Use when the user wants to analyze trending medical topics with engagement predictions, conduct data-driven topic selection, research medical literature using PubMed, or write comprehensive well-referenced newsletters that build professional authority. Handles complete workflow from trend analysis to final draft.

Comprehensive, systematic literature reviews following rigorous academic methodology across biomedical and scientific domains.

- **Name**: knowledge-pipeline - **Version**: 1.1 - **Purpose**: Build rich knowledge context using RAG + PubMed before writing - **Trigger**: Any content creation task requiring evidence-based writing

> **This skill has been merged into `youtube-script-master`.** > Location: `/.claude/skills/youtube-script-master/SKILL.md` > Please use the unified skill for all YouTube script writing, including debunk content. ---

Query the U.S. National Library of Medicine's clinical trials registry through API v2. Public access, no authentication required.