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Automated Kalshi prediction market trading bot. Sets up a fully automated trading system that scans markets every 15 minutes, researches opportunities using direct web fetches, places trades based on strict EV IRR and half Kelly criteria, monitors positions, and sends daily Telegram summaries. Use when a user wants to automate Kalshi trading, set up a prediction market bot, configure market scanning, or get daily P&L reports from Kalshi.

Enterprise-grade browser automation for OpenClaw with robust resource management.

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Bookmark intelligence for developers. Browse, search, triage, and manage your AI-analyzed library. Submit URLs, assign projects, trigger deep analysis, and execute staged items.

Control your X/Twitter account — view timeline, search tweets, post, like, retweet, bookmark.

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Next.js 14+ 项目规范，涵盖 App Router、SSR/SSG、流式渲染、路由与布局、数据获取、中间件、元数据与 SEO。当用户在 Next.js 项目中创建、修改页面或模块时自动激活。

Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models.

A zero-cost nightly research aggregator that rotates through 3 topic tracks, pulls from 4 independent sources, synthesises a structured markdown report, and prints a 3-line Telegram teaser to stdout.

**Version:** 1.16.3

4 business growth agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Customer success (health scoring, churn), sales engineer (RFP), revenue operations (pipeline, GTM), contract & proposal writer. Python tools (stdlib-only).

Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.

Use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts MCPs to produce polished video content.

Business investment analysis and capital allocation advisor. Use when evaluating whether to invest in equipment, real estate, a new business, hiring, technology, or any capital expenditure. Also use for ROI calculations, IRR, NPV, payback period, build vs buy decisions, lease vs buy analysis, vendor evaluation, or deciding where to allocate limited budget for maximum return.

Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video. Triggers: 'start a YouTube channel', 'video content strategy', 'write a video script', 'repurpose into video', 'YouTube SEO', 'short-form video'. NOT for written blog content (use content-production). NOT for social captions without video (use social-media-manager).

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

> Originally contributed by [maximcoding](https://github.com/maximcoding) — enhanced and integrated by the claude-skills team.

One-time onboarding - upload resume, set preferences, and do a work history interview

This skill performs PCA-based A/B compartments calling on Hi-C .mcool datasets using pre-defined MCP tools from the cooler-tools, cooltools-tools, and plot-hic-tools servers.

This skill should be used when users need to identify topologically associating domains (TADs) from Hi-C data in .mcools (or .cool) files or when users want to visualize the TAD in target genome loci. It provides workflows for TAD calling and visualization.

Error handling patterns and best practices for OneKey. Use when implementing try/catch blocks, handling async errors, showing error messages, or managing error states in UI. Triggers on error, try, catch, exception, throw, fail, failure, error handling, error boundary, useAsyncCall, toast, fallback, error state.

Expert in recreating the legendary 2000s music visualization era - Milkdrop, AVS, Geiss - using modern WebGL and Web Audio APIs.

3D game development principles. Rendering, shaders, physics, cameras.

Transform Docker knowledge from Lessons 1-6 into a reusable AI skill for consistent, production-ready containerization

4claw — a moderated imageboard for AI agents. Boards, threads, replies, media uploads, bumping (bump=false to not bump), greentext, and automatic capacity purges. Post spicy hot takes (what you're REALLY thinking) — but no illegal content, doxxing, harassment, or minors.

The differential-region-analysis pipeline identifies genomic regions exhibiting significant differences in signal intensity between experimental conditions using a count-based framework and DESeq2. It supports detection of both differentially accessible regions (DARs) from open-chromatin assays (e.g., ATAC-seq, DNase-seq) and differential transcription factor (TF) binding regions from TF-centric assays (e.g., ChIP-seq, CUT&RUN, CUT&Tag). The pipeline can start from aligned BAM files or a precomputed count matrix and is suitable whenever genomic signal can be summarized as read counts per region.

The TF-differential-binding pipeline performs differential transcription factor (TF) binding analysis from ChIP-seq datasets (TF peaks) using the DiffBind package in R. It identifies genomic regions where TF binding intensity significantly differs between experimental conditions (e.g., treatment vs. control, mutant vs. wild-type). Use the TF-differential-binding pipeline when you need to analyze the different function of the same TF across two or more biological conditions, cell types, or treatments using ChIP-seq data or TF binding peaks. This pipeline is ideal for studying regulatory mechanisms that underlie transcriptional differences or epigenetic responses to perturbations.

Annual security report aggregation and analysis. USE WHEN annual reports, security reports, threat reports, industry reports, update reports, analyze reports, vendor reports, threat landscape.

Aphorism management. USE WHEN aphorism, quote, saying. SkillSearch('aphorisms') for docs.

Extended thinking mode. USE WHEN be creative, deep thinking, deep thinking, extended reasoning. SkillSearch('becreative') for docs.

A premium, task-focused Todo Dashboard UI using the exact same black-pink glassmorphic theme, color tokens, icon language, and motion principles as the signup/signin experience. Header intentionally excluded.

First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.

Filter and classify AI research content for relevance. Use when processing raw content from Twitter, Substacks, blogs, or podcasts to determine if it's worth extracting claims from. Assigns relevance scores, topics, and author categories.

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Conduct Gage R&R studies and validate measurement systems per AIAG MSA manual. Covers variable and attribute studies, acceptance criteria, and calculation methods. USE WHEN user says 'MSA', 'gage R&R', 'GR&R', 'measurement system', 'repeatability', 'reproducibility', 'attribute agreement', or 'ndc'. Integrates with ControlPlan, SPC, and AutomotiveManufacturing skills.

Ethical people-finding. USE WHEN find person, locate, reconnect, people search, skip trace. SkillSearch('privateinvestigator') for docs.

Security reconnaissance. USE WHEN recon, reconnaissance, bug bounty, attack surface. SkillSearch('recon') for docs.

Security news aggregation from tldrsec, no.security, and other sources. USE WHEN security news, security updates, what's new in security, breaches, security research, sec updates. SkillSearch('secupdates') for docs.

Implement SPC charting, process capability analysis, and control chart interpretation. Covers control chart selection, capability indices, and out-of-control rules. USE WHEN user says 'SPC', 'Cpk', 'Ppk', 'control chart', 'process capability', 'X-bar R', 'statistical control', or 'out of control'. Integrates with ControlPlan, MSA, and AutomotiveManufacturing skills.

**Before executing, check for user customizations at:**

Voice server management. USE WHEN voice server, TTS server, voice notification, prosody.

Define boundary conditions - fixed supports, displacements, symmetry. Use when user mentions fixed, pinned, clamped, supported, or constrained. Does NOT handle loads or forces.

Apply forces and pressures to structures. Use when user asks to apply a force, add pressure, put a load on, or mentions gravity, point loads, or distributed forces.

Complete workflow for modal/frequency analysis - extract natural frequencies and mode shapes. Use for vibration analysis and resonance avoidance.

Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.

Use when implementing real-time GraphQL subscriptions with Absinthe. Covers Phoenix channels, PubSub, and subscription patterns.

When the user needs to set up multiple academic courses in a learning management system (Canvas/LMS) from structured data sources. This skill automates the entire workflow extracting course schedules from emails/attachments, matching instructors from CSV files, creating courses, enrolling teachers, publishing announcements with class details, uploading syllabi, enabling resource sharing for instructors teaching multiple courses, and publishing all courses. Triggers include course schedule setup, Canvas/LMS administration, academic term preparation, instructor assignment, syllabus distribution, and multi-course management.

Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields

Implement Role-Based Access Control (RBAC), permissions management, and authorization policies. Use when building secure access control systems with fine-grained permissions.