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66 results for "deep dive"
deepchem
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
k-dense-ai
competitor-profiling
当用户想要通过竞争对手的URL来研究、建档或分析竞争对手时使用。也适用于用户提及'竞争对手档案'、'竞争对手研究'、'竞争对手分析'、'分析此竞争对手'、'竞争情报'、'竞争对手深度挖掘'、'谁是我的竞争对手'、'竞争格局'、'竞争对手卷宗'、'竞争审计'或'研究这些竞争对手'的场景。输入是一系列竞争对手的URL。输出是结构化的竞争对手档案Markdown文件。如需从档案创建对比/替代页面，请参见competitors。如需销售专用的对战卡片，请参见sales-enablement。
coreyhaines31
ljg-book
读书助手，将一本书重构为 x → f → f(x)：它处理的问题、作者的核心回答、以及该回答如何改变判断或行动。当用户提供书名、PDF、摘录或提出“拆书”、“分析这本书”、“这本书在讲什么”、“压缩一本书”或“book”时使用。默认保存为 org 笔记。不适用于章节总结、框架审计、论文、单一概念深挖或领域排名。
lijigangljg-word
深度英语单词掌握工具。将单个英语单词解构为核心语义与顿悟。当用户要求解释/掌握某个特定英语单词时使用。
lijigang
learn
运行一个六阶段研究工作流，将不熟悉的领域、源材料包或收集的材料转化为可发布的输出。当用户以任何语言要求研究、学习、深入探究、整理来源、综合不熟悉的材料或将源材料包转化为连贯的参考资料时使用。不适用于快速查询或单文件阅读。
tw93
wiki-research
Autonomously research a topic via multi-round web search, synthesize findings, and file structured results into the Obsidian wiki. Use this skill when the user says "/wiki-research [topic]", "research X", "find everything about Y", "do a deep dive on Z", "autonomous research on X", or wants comprehensive, web-sourced knowledge on a topic filed directly into their wiki.
ar9av
kanchi-dividend-sop
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
tradermonty
adhd
面向编码智能体的并行发散式构思。在多种认知框架（监管者、生物学、速通玩家、10岁小孩、零预算）下生成N个独立分支，进行评分、聚类、修剪陷阱，并深化最优幸存者。用于 /adhd、“ADHD模式”、头脑风暴/构思意图，或开放式设计、架构、命名、API/SDK接口以及模糊调试决策。跳过语法、查询、已知根因的bug或封闭式表述（“快速”、“标准”、“规范”、“教科书”）。完整的预检门控在技能正文中。
uditakhourii
golang-observability
Go 日常可观测性——生产环境中始终开启的信号。涵盖使用 slog 的结构化日志、Prometheus 指标、OpenTelemetry 分布式追踪、使用 pprof/Pyroscope 的持续性能分析、服务端 RUM 事件追踪、告警和 Grafana 仪表盘。适用于为 Go 服务添加生产监控埋点、设置指标或告警、添加 OpenTelemetry 追踪、关联日志与追踪、将遗留日志库（zap/logrus/zerolog）迁移到 slog、为新功能添加可观测性，或实现符合 GDPR/CCPA 规范的客户数据平台（CDP）追踪。不适用于临时深度性能调查（→ 参见 `samber/cc-skills-golang@golang-benchmark` 和 `samber/cc-skills-golang@golang-performance` 技能）。
samber
active-research
Deep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Enhanced with advanced browser automation — SPA handling, network idle wait, batch operations, stealth browsing, and intelligent page analysis. Use when user asks to research, analyze, investigate, deep-dive, or generate a report on any subject.
actionbook
mantis-researcher
Audits production source code files based on the strategy in workspace/plan.json. Use when a review plan exists and you need to perform static analysis and deep-dive reviews of targeted files. Don't use for planning, deduplicating, or writing patches.
google
blog-writing-guide
Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announcement post," "engineering post," "deep dive," "postmortem," or asks for help with technical writing for Sentry. Even if the user just says "help me write about [feature/topic]" — if it sounds like it could become a Sentry blog post, use this skill.
getsentry
profiling-tables
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
astronomer
pixijs-core-concepts
Use this skill when understanding how PixiJS v8 renders frames: the systems-and-pipes renderer, the render loop, and how the library adapts to different environments. Covers WebGLRenderer/WebGPURenderer/CanvasRenderer selection, renderer.render() pipeline, environment detection, and pointers to per-topic deep dives. Triggers on: renderer, WebGL, WebGPU, Canvas, render loop, render pipeline, systems, environments, autoDetectRenderer.
pixijs
profile-model
Profile a model running on MAX to find where it spends time and whether the GPU is saturated. Use when the user asks to "profile my model," "where is my model spending time," "why is inference slow," "is my GPU being utilized," "how much GPU am I using," "get a kernel breakdown," "capture an nsys/rocprof/ncu trace of max serve," or wants to measure MAX inference performance. Works for any model MAX can run — built-in architectures and custom ones loaded with --custom-architectures — from a pip or pixi install (max generate, max serve, or a Python script) on NVIDIA or AMD GPUs. Decide cheapest-first: a GPU utilization check, then a kernel breakdown, then a single-kernel deep dive only when one kernel dominates.
modulardeep-research
Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology evaluation', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Apply whenever the deliverable is a thorough, sourced report rather than a quick answer. Trigger even when phrased casually: 'look into X', 'what's the deal with Y', 'dig into Z', 'I need to understand the space', 'catch me up on X'.
sambercopywriting-hooks
Generate opening hooks and post titles for long-form articles in EN or FR — blog posts, Substack/Medium/dev.to, LinkedIn long-form, paid newsletters, opinion essays, reported features, technical deep-dives. Trigger whenever the user asks for a hook, opening, lede, intro, first sentence/paragraph, opener, accroche, attaque, phrase d'accroche, or première phrase — including making a flat intro punchier or rewriting a draft opening. Also trigger when user asks for a post title, titre d'article, headline, or when ghostwriting skills reach the opening or titling step. Proposes 3-4 hooks pulling distinct psychological levers (curiosity gap, contrarian, scene, promise, authority), 2 candidates each, waits for the user to pick. Do NOT trigger for social posts (LinkedIn feed, Twitter/X, TikTok, Bluesky, Threads), READMEs or doc first lines, taglines, email subjects or openers, ad copy (Google/Meta Ads), landing-page headlines, press releases, SEO meta, fiction openings, talk/podcast/video script intros, or body rewrites.
samber
exa-search
Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.
cline
pattern-of-life-from-socials
Deep-dive a subject's social media presence — profile metadata, follower and mutual network, content analysis, and posting-time pattern of life across Instagram, Facebook, X/Twitter, TikTok, LinkedIn, Reddit, Telegram and Discord. Use when profiling a social account, mapping someone's associates, inferring a subject's timezone or routine from their posts, or archiving a profile before it is deleted. Applies to threat assessment and executive protection, insider-threat investigation, pre-litigation research, and personal exposure audits — with explicit limits on profiling uninvolved third parties. Reference at useosint.com/skills/pattern-of-life-from-socials.
useosintpattern-of-life-from-socials
Deep-dive a subject's social media presence — profile metadata, follower and mutual network, content analysis, and posting-time pattern of life across Instagram, Facebook, X/Twitter, TikTok, LinkedIn, Reddit, Telegram and Discord. Use when profiling a social account, mapping someone's associates, inferring a subject's timezone or routine from their posts, or archiving a profile before it is deleted. Applies to threat assessment and executive protection, insider-threat investigation, pre-litigation research, and personal exposure audits — with explicit limits on profiling uninvolved third parties. Reference at useosint.com/skills/pattern-of-life-from-socials.
useosint
financial-deep-research
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
rebyteai-template
linter-docs
Deep linter reference for authoring or debugging a vigiles enforce() rule — plugin tables, AST selectors, type-aware rules, auto-fix, and edge cases for ESLint, Ruff, Pylint, RuboCop, Stylelint, and Clippy. Use when you need the exact rule name or config for a specific linter, not for running a linter. (JVM/Go linters — detekt, ktlint, Checkstyle, golangci-lint — and Cedar have no deep-dive file yet; their reference lives in docs/linter-support.md.)
zernie
colosseum-copilot
使用构建者项目历史、加密档案、投资者主题和市场信号，研究 Solana/加密创业机会。默认以对话方式回答问题；在明确选择加入时（“验证这个想法”、“深入研究”），运行完整的 8 步深度研究工作流。
colosseumorg
sumsub-api-auth
Authenticate to the Sumsub API with an App Token + secret key (HMAC-SHA256 request signing). TRIGGER when the user asks to "call / sign / authenticate Sumsub API requests", debugs `401 Unauthorized` / signature errors against `api.sumsub.com`, or needs a working request example with `X-App-Token` / `X-App-Access-Sig` / `X-App-Access-Ts` headers. SKIP only when a more specific skill in this repo (questionnaire/level/workflow/POA-preset/generic) already covers the user's actual task — those skills sign requests the same way and only need this one for auth deep dives.
sumsub