Total 58,393 skills
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Qdrant integration. Manage Collections, Snapshots. Use when the user wants to interact with Qdrant data.
Generate a ship-ready CLI for an API with a lean research -> generate -> build -> shipcheck loop.
Create or update content for the agegr/mindmap-ppt static presentation project from a prose draft, article, speech, report, or notes. Use when Codex needs to turn a written document into the project's project/source.js Markdown mind-map data, choose which nodes need illustrations, generate or request GPT Image 2 illustrations matching the project's restrained presentation style, place assets under project/, and validate the result with npm run check.
Diagnoses and explains validator behavior from runtime evidence for requests such as "why did validator fail", "explain validator behavior", "diagnose validator logs", or "what went wrong in the validator run".
Factor research framework for evaluating single-factor effectiveness across A-shares, HK, and US stocks — information coefficient (IC), information ratio (IR), decile portfolio backtests, and IC decay (serial autocorrelation). Triggers: "因子研究", "IC分析", "信息比率", "分层回测", "因子有效性", "单因子测试", "因子衰减", "因子评估", "IC分析", "信息比率", "分層回測", "因子有效性", "單因子測試", "factor research", "information coefficient", "IC", "IR information ratio", "factor backtest", "decile portfolio", "factor decay", "factor effectiveness".
Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: "多因子", "因子选股", "量化选股", "多因子模型", "因子投资", "横截面", "TopN组合", "IC权重", "多因子", "因子選股", "量化選股", "多因子模型", "橫截面", "multi-factor", "factor investing", "quantitative stock selection", "cross-sectional factor", "factor model", "IC weighting", "factor composite", "TopN portfolio", "factor score", "Z-score ranking".
Initiating-coverage report framework — five-step workflow to generate an institutional-grade coverage initiation report: ① company overview ② industry positioning ③ financial modelling ④ valuation analysis ⑤ investment conclusion. Covers business description, competitive advantages, financial health, valuation multiples, price target, and risk factors. Triggers: "首次覆盖", "初始覆盖", "覆盖报告", "研报框架", "投资报告", "建立覆盖", "首次評級", "初始覆蓋", "覆蓋報告", "建立覆蓋", "initiate coverage", "coverage initiation", "first coverage", "equity research report", "investment report", "initiating coverage", "research initiation", "NVDA initiate coverage".
Behavioral finance application framework — identify cognitive biases in markets (overreaction, underreaction, disposition effect, anchoring, herding), translate them into quantifiable trading signals (momentum / reversal), and assess whether current market sentiment shows systematic bias. Triggers: "行为金融", "认知偏差", "过度反应", "反应不足", "处置效应", "锚定效应", "羊群效应", "市场情绪偏差", "行為金融", "認知偏差", "過度反應", "反應不足", "處置效應", "錨定效應", "羊群效應", "behavioral finance", "cognitive bias", "overreaction", "underreaction", "disposition effect", "anchoring bias", "herding", "sentiment bias", "behavioral economics".
Sector screening and ranking — filter and rank A-share / HK / US industry sectors by valuation (PE/PB), capital inflow, price performance (1d/5d/20d), and turnover rate. Outputs a sector leaderboard. Triggers: "板块筛选", "行业筛选", "强势板块", "弱势板块", "板块排行", "行业排名", "资金流入板块", "涨幅最大板块", "板塊篩選", "行業篩選", "強勢板塊", "弱勢板塊", "板塊排行", "行業排名", "sector screener", "sector filter", "sector ranking", "top sectors", "hot sectors", "capital inflow sectors", "sector scan", "industry ranking", "sector performance", "best sectors today".
Create a dynamic product showcase with explosive ingredient arrangements, followed by a realistic motion animation.
/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix.
Bump the semver version in a skill's SKILL.md frontmatter following the patch/minor/major rules in CLAUDE.md. Use after modifying a skill's logic or docs.