kangning-huang

Scaffold a new research project: creates method.md, agenda.md, CLAUDE.md, and AGENTS.md with standard Big 5 folder structure. CLAUDE.md/AGENTS.md embed the lab's truth-over-harmony, coding-discipline, and research-integrity guardrails. Removes the friction of starting from scratch every time.

Use when drafting or revising scientific prose (proposals, paper intros, grant narratives, significance sections) and the sentences feel choppy, list-like, or jump between ideas — or when a reviewer says the writing 'doesn't flow.' Applies the known-new chaining technique distilled from Kangning Huang's NASA NESSF proposal: each sentence ends on a new idea that becomes the next sentence's opening topic (A→B, B→C), and each paragraph's first sentence reaches back to the previous paragraph's last idea. Keywords: flow, transitions, coherence, choppy, doesn't flow, topic chaining, known-new contract, anadiplosis, paragraph hinge.

Analyze causal relationships by searching for and evaluating scientific evidence. Use when the user asks whether X causes Y, inquires about causal mechanisms, or wants to distinguish causation from correlation. Triggers include questions like "does X cause Y", "is there a causal relationship between", "what's the evidence that X leads to Y", or "causation vs correlation" discussions.

Transform dense academic papers into compelling narratives using Malcolm Gladwell's storytelling techniques. Use when users ask to explain, interpret, summarize, or make accessible a research paper, academic article, or scientific study—especially when they want engaging, readable prose rather than technical summaries. Triggers include requests like "explain this paper," "help me understand this research," "make this accessible," "write about this study," or "Gladwell-style explanation."

Transform academic papers into pop-science summaries using the 'ladder-building' science-writing approach developed by Kangning Huang (start from what the reader already knows, then build up step by step). Requires WebSearch to research authors, Read for PDFs. Use when user shares a paper PDF or asks for a paper summary.

Strategic field reconnaissance for a domain you know a little but not enough. Produces an 8-dimension landscape map ending in a gap table ranked by a 3-filter comparative-advantage test against the user's own research pillars. Domain coverage: complexity science, urban science, urban sustainability, industrial ecology, economic geography. Scouting mode only — no prose drafting, no PDF ingestion. Conductor pattern: delegates verification and deep-read work to other Lu Lab skills.

Generate a print-ready HTML reading guide with prioritized chapter checklist and goal-targeted extraction questions. Takes a table of contents (image, PDF, paste, or URL) plus reading context, produces a single self-contained HTML file with tiered chapters, sub-topic checkboxes, and 3 to 5 guided questions per chapter. Use when the user has a book or paper to read and wants a structured plan before diving in.

Adversarial figure QA: reads the rendered figure AND its generating script to catch legend swaps, color-meaning errors, axis failures, arithmetic, and communication failures before the figure reaches anyone. Inspired by the lab's figure roasting tradition.

Evaluate research proposals and papers using the And-But-Therefore (ABT) storytelling framework from Olson's 'Houston, We Have a Narrative'. Calibrated for environmental science and urban climate research. Use when: (1) User asks to critique or evaluate a research proposal introduction/abstract, (2) User asks to assess whether a paper's framing is compelling for publication, (3) User wants feedback on narrative structure of scientific writing, (4) User mentions ABT framework, Olson, or 'Houston We Have a Narrative'. Provides qualitative critique with severity assessment (fatal vs. improvable), citation verification, and constructive suggestions.

使用ABT（And-But-Therefore，即「而且-但是-因此」）叙事框架评估中文科研项目申请书和论文。该框架源自Randy Olson的《Houston, We Have a Narrative》。专为环境科学和城市气候研究领域校准。使用场景：(1) 用户要求评估或点评中文项目申请书的摘要或引言部分，(2) 用户想评估论文框架是否具有发表竞争力，(3) 用户需要科学写作的叙事结构反馈，(4) 用户提到ABT框架、Olson或NSFC/国家自然科学基金申请。提供定性评估、问题严重程度判断（致命缺陷vs可改进问题）、引文核查和建设性修改建议。

Set up or update automated task implementation system with Ralph Wiggum Loop. Use when the user wants to create or update todolist.json, progress.txt, and ralph_wiggum_loop.sh files for automated AI-driven task-based development.

Guide map design from scratch using established cartographic principles (color, projection, type, symbols, visual hierarchy, layout). Use this whenever the user is making or planning a map or map figure and needs design decisions — choosing a color scheme, picking a projection, deciding class breaks, setting up labels, or laying out a figure for a paper, poster, slide, or web. Trigger it even when the user just says "make a map of X," "what colors for this map," "how should I map this data," or asks for cartographic feedback, and even when they don't say the word "cartography." Especially relevant for publication-quality figures where grayscale-robustness and colorblind-safety matter.