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Found 9,272 Skills
Portable Zod schema design and validation guidance. Default to `zod/mini` for new work and preserve established classic `zod` surfaces. Use when Codex needs to create, extend, refactor, or review Zod schemas; choose strict or loose object contracts; model nullability, unions, intersections, recursion, or runtime-validated values; or debug surprising Zod behavior and serialization boundaries.
Use this skill when the user asks to "check data usage", "list TCO policies", "view quotas", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "quota rules", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.
Turn an article or script into a click-driven 16:9 web presentation that "looks like a video", with optional voiceover audio synthesis. Workflow: Original Article → **One-time Output** Script + Outline Development Plan → User **One-time Alignment** on 5 Items (Script / Outline / Theme / Assets / Development Mode) → Web Development (Chapter-by-Chapter / Sequential / Parallel) → Optional Audio Synthesis (Default: MiniMax CLI mmx-cli). **Outline only plans rhythm and information density, not animations** — Animations are designed on the fly during chapter development following the PRINCIPLES + ANTI-AI rules. Each click advances one beat of the script, each step occupies the full screen, and the progress bar is hidden by default only appearing on hover. Application Scenarios: Use web pages to make videos (dynamic PPT but not like PPT), turn scripts/articles into interactive explanations, create screen recording tutorials for Bilibili / YouTube / Video Channels, make cinematic product/talk demos. This Skill embodies design methodology + collaboration process — it is not bound to any specific styles/fonts/colors — so it can be reused for any theme and aesthetic.
Run a retrospective after generating a CLI. Identifies systemic improvements to the Printing Press — templates, Go binary, skill instructions, catalog — so the next CLI comes out better. Creates a GitHub issue with actionable findings when there are Printing Press fixes to make. Use after any /printing-press run. Trigger phrases: "retro", "retrospective", "what went wrong", "improve the press", "post-mortem", "lessons learned", "what can we improve", "file a retro", "submit findings".
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "golden cross", "death cross", "technical analysis".
Market microstructure analysis via Longbridge Securities — bid-ask spread, order-flow toxicity (large-order pressure), liquidity depth, price impact, and institutional order direction. Covers A-share call-auction analysis and HK block-trade mechanics. Triggers: "盘口分析", "微观结构", "订单流", "大单分析", "买卖价差", "逐笔分析", "买卖盘深度", "挂单墙", "主力动向", "集合竞价", "盤口分析", "微觀結構", "訂單流", "大單分析", "買賣價差", "逐筆分析", "買賣盤深度", "掛單牆", "主力動向", "market microstructure", "order flow", "bid-ask spread", "depth analysis", "large order", "order book imbalance", "price impact", "auction analysis", "institutional order flow".
Chan Theory Pattern Recognition — Automatically detect top/bottom fractals, Bi (upward/downward Bi), Segments, Zhongshu, and generate Buy 1/Buy 2/Buy 3/Sell 1/Sell 2/Sell 3 signals. Depends on the czsc library. Triggers: "缠论", "分型", "笔", "中枢", "线段", "一买", "二买", "三买", "一卖", "二卖", "三卖", "缠中说禅", "缠师", "纏論", "分型", "筆", "中樞", "線段", "一買", "二買", "三買", "一賣", "二賣", "三賣", "chanlun", "chan theory", "bi", "zhongshu", "buy point", "sell point", "fractal top bottom", "Chan theory".
Use when writing, fixing, or editing TypeScript with duplicated logic, magic values, unclear one-liners, mixed responsibilities, clutter, arbitrary code, or inconsistent abstraction levels.
Generate deep research reports on prediction market events using the Octagon Prediction Markets Agent. Combines real-time Kalshi market data with AI-driven analysis to surface price drivers, compare market vs. model probabilities, and identify potential mispricings across 120+ active markets.
Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.
Comprehensive testing doctrine for software and AI systems — covers positive patterns, anti-patterns, gates for coding agents writing tests, CI discipline, and an LLM/agent evaluation primer. Use when authoring or reviewing tests, adding mocks, deciding test placement, generating tests via agents, debugging flaky CI, designing eval suites for LLM features, or rebuilding a brittle test suite. Contains 12 positive patterns (selector hierarchy, table-driven, builders, real-system gates), 25 anti-patterns across Brittleness, Flakiness, Mock-misuse, Process, and AI-specific families, 7 mandatory gates for agents writing tests, flaky-test taxonomy with quarantine workflow, contract / property / mutation testing patterns, and an oracle-ladder primer for LLM-as-judge and agent eval. Language-agnostic — pseudo-code only. Don't use for general code review, library-specific debugging unrelated to tests, non-testing CI pipeline design, or production observability.
Generates correct, deployable Salesforce permission set metadata (PermissionSet XML) with object, field, user, and app permissions. Use this skill when creating or editing permission set metadata, object permissions, field-level security (FLS), tab visibility, or deploying permission sets.