Plugins
5 plugins@fradser
Storm
Wikipedia-style long-form article generation via multi-perspective question asking and retrieval — a Claude-native port of Stanford STORM's two-stage research-to-article pipeline
6 skills · plugin
@brycewang-stanford
FSE Skills
Twelve FSE-specific skills for the ACM Foundations of Software Engineering conference and its PACMSE journal-style publication model, grounded in the FSE 2026/2027 researchr calls, PACMSE journal pages, ACM Digital Library, and dblp.
2 skills · plugin
@brycewang-stanford
Science Skills
Twelve-skill bundle covering the Science manuscript lifecycle: workflow router, scope/significance fit, advance framing, abstract + one-sentence summary, main-text writing, display items, statistics & reproducibility, data/materials/code availability, reference style, cover letter, submission preflight, and reviewer rebuttal.
2 skills · plugin
@brycewang-stanford
PNAS Skills
Twelve-skill bundle covering the PNAS manuscript lifecycle: workflow router, scope/significance fit, submission-track selection (Direct vs Contributed), the ≤120-word Significance Statement, ≤250-word abstract, main-text writing with in-text Materials and Methods + classification, display items, statistics & reproducibility, data/code availability, numbered reference style, submission preflight, a
9 skills · plugin
@brycewang-stanford
50 Brycewang Aer Skills
Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER
7 skills · plugin
Results for “style”
10 skillsPolars
Process tabular data with Polars' expression API, lazy evaluation, and parallel execution for faster pandas-style workflows.
2
Bigquery Bigframes
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.
14.4k
Kanchi Dividend Sop
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure covering screening, deep dive, entry planning, and post-purchase monitoring.
2.3k · bundle
Stanley Druckenmiller Investment
Synthesizes outputs from 8 upstream market analysis skills into a unified conviction score (0-100), pattern classification, and allocation recommendation for Druckenmiller-style portfolio positioning.
2.3k · bundle
More results
Ibd Distribution Day Monitor
Detect IBD-style Distribution Days for QQQ/SPY, track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk, and emit TQQQ/QQQ exposure recommendations.
2.3k · bundle
Stockbee Episodic Pivot Analyzer
Analyzes Stockbee-style Day 1 Episodic Pivot candidates by scoring catalyst quality alongside price/volume confirmation, gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low.
2.3k · bundle
Stockbee Momentum Burst Screener
Screen US stocks for Stockbee-style short-term momentum burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring.
2.3k · bundle
Stockbee Exhaustion Hammer Screener
Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring.
2.3k · bundle
Process Mapper
Document end-to-end business processes in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time.
20.4k · bundle
Stockbee Setup Fluency Trainer
Build and maintain a model book for Stockbee-style Momentum Burst setups by ingesting screener candidates, updating 3-day and 5-day forward outcomes with MFE/MAE and stop-hit status, and summarizing cohort statistics to improve setup recognition.
2.3k · bundle