Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Guides iOS app development with Swift including SwiftUI views, UIKit view controllers, navigation, async/await networking, Core Data persistence, Xcode project configuration, and App Store submission. Use when the user asks about iOS Swift development, needs to create iOS applications, implement SwiftUI or UIKit components, or configure Xcode signing and TestFlight.
Audit and reduce Codex desktop and CLI local-state bloat without deleting history or editing private app state. Use when Codex feels slow, logs or sessions consume substantial disk space, stale task worktrees accumulate, configuration contains dead project paths, or the user wants a repeatable maintenance report. Default to a read-only audit; perform archival or rotation only when the user explicitly requests cleanup.
Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.
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.
Search and reference the official Kuroco documentation (tutorials, reference, admin panel guide, FAQ) from files bundled with the skill. Use when accurate information based on the official documentation is needed, such as how to use Kuroco features, configuration methods, specifications, troubleshooting, or checking whether something exists, e.g. "does Kuroco have this feature or material?"
Fetch environment variables from a Contentstack Launch project, compare them with a local `.env.example` file, and patch the target environment to add any missing keys. Use when a Launch environment must match the keys defined in a local `.env.example` file.
Trigger a Launch deployment for a specific environment, then poll its status until completion. If the deployment fails or is cancelled, fetch the deployment log and diagnose likely causes with next-step recommendations. Use when you need to automate Launch deployments for a known project and environment, monitor progress, and surface failure diagnostics. This is appropriate for CI/CD or operator workflows that need a deterministic deploy status check and log-based troubleshooting.
Search and fetch LinkedIn job postings via BrightData. Use when the user wants to: (1) search LinkedIn for jobs by keyword, location, remote type, or date posted (e.g. 'find remote software engineering jobs posted this month'), (2) fetch a specific job by URL or numeric job ID (e.g. 'show me job 4358573391'), (3) analyze job postings for resume tailoring, gap analysis, or comparison.
Use when the user wants to find related work, survey a research area, identify literature gaps, or discover open-source implementations. Triggers on phrases like "find papers on", "related work", "literature review", "what papers exist", "open source implementation", or "papers with code".
Unified LLM torch-profiler triage skill for `sglang`, including existing traces from SGLang Omni workloads, plus `vllm`, `TensorRT-LLM`, and `TokenSpeed`. Use it to inspect an existing `trace.json(.gz)` or profile directory, or to drive live profiling against a running server when supported and return one three-table report with kernel, overlap-opportunity, and fuse-pattern tables.
Generate images via multiple mechanisms. Supports: (1) End-to-end AI generation via Gemini/ZenMux — given a prompt, directly output an image. (2) Code-based rendering — generate HTML/React single-file, render to PNG via Playwright. (3) Prompt engineering — generate optimized prompts for external models (nano-banana-pro, etc.). Trigger words: image, generate image, 生图, render, poster, 海报, banner, card, 卡片
When the user wants help with Google Local Services Ads (LSAs), the pay-per-lead ad format with Google Guaranteed or Google Screened badges. Also use when the user mentions "LSA," "Local Services Ads," "Google Guaranteed," "Google Screened," "pay per lead," "LSA ranking," "LSA leads," "LSA disputes," or "LSA budget." For map pack ads, see local-search-ads. For geographic PPC, see local-ppc-ads.
Structured market analysis with TAM/SAM/SOM sizing, trends, and competitive landscape via WebSearch, producing investor-grade cited reports. Triggers on: "market size", "TAM SAM SOM", "market opportunity", "industry analysis", "how big is the market", "market trends". NOT for financial modeling or pricing.
Author MARP markdown slide decks exportable to PDF, PPTX, and HTML via marp-cli. Covers Marpit directives, custom CSS themes, SVG chart recipes, and dashboard components. Triggers on: "marp", "marp deck", "markdown slides", "slides from markdown", "marp-cli", "pdf from markdown", "pptx from markdown".
Computes multi-constellation Global Positioning System (GPS) or Global Navigation Satellite System (GNSS) positions from RINEX v3 data using rinexread, gnssmeasurements, receiverposition, and gnssoptions. Filters by constellation, elevation mask, C/N0, and observation code. Reports DOP, scatter RMS, and satellite count. Use when processing GNSS data, computing positions from RINEX files, analyzing accuracy, comparing constellations, or evaluating satellite geometry. Do NOT use for carrier-phase RTK/PPP, IMU fusion, orbit propagation, NMEA streaming, or RINEX v4.
A McKinsey-style problem-solving system. Starting from business problems, it uses hypothesis-driven structured analysis to generate McKinsey-style research reports and PPTs. Combines the Problem Solving methodology, MECE principle, Issue Tree breakdown, Hypotheses formation, Dummy Page design, intelligent data collection, and professional PPT generation.
Meeting notes page: title bar with attendees, agenda checklist, decisions block, action-items table with owners and dates, and a “next meeting” footer. Use when the brief mentions “meeting notes,” “minutes,” “1:1 notes,” “all-hands recap,” or “会议纪要.”
Generate photorealistic interior and exterior redesigns from a photo using MeltFlex AI. Use when the user wants to restyle, redesign, declutter, virtually stage, or re-theme a room, facade, or garden; swap a floor, wall finish, staircase, doors or windows; redesign a kitchen or bathroom; turn a 3D draft into a photo; or preview a space in a different style, material, or season. Can also produce a cinematic video walkthrough; for 3D models and 3D worlds see the companion skill meltflex-3d. Works directly against the MeltFlex REST API — no extra install required.
Use when designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction). Covers reference standard, clinical-efficacy metrics beyond BLEU/ROUGE, hallucination, contamination and prompt sensitivity. Imaging models are /model-assessment.
Make a web app feel native on a phone—the small CSS and meta-tag fixes that separate “a website in a browser” from something that feels installed. Covers sticky hover states, tap highlight flashes, the 100vh bug, inputs that zoom the page, laggy taps, pull-to-refresh hijacking scroll, content under the notch, long-press selecting button text, carousels that scroll the wrong way, mismatched status bars, and the rule that you test on real hardware. Use when a web app is being built for or reviewed on mobile, when something “works in Chrome but feels wrong on my phone,” when building a PWA, a bottom sheet, a carousel, a full-screen layout, or any touch interaction. For motion itself use animate; for React Native use animate-expo.
NIL (Name, Image, and Likeness) contract analysis for NCAA student-athletes from the athlete's perspective. Use when user says 'review this NIL contract', 'analyze this NIL deal', 'check this athlete agreement', 'review my NIL agreement', or uploads a PDF NIL contract for review. Identifies red flags, missing protections, and compliance issues. Produces a structured review memorandum with negotiation positions. Do NOT use for general contract review, employment agreements, non-NIL endorsements, or brand-side deal analysis.
(NS) Diagnose a product bug report (screen, expected vs actual, ticket, screenshot description) by tracing the reported flow across every layer the consumer stack has. Chat-only eight-section report, then auto-dispatch ns-execution-gitlab-issue (ISSUE_URL) or ns-coder unless the user opted out (diagnose-only / do not fix). This skill does not write the patch. Use whenever the user pastes a relato, issue, ticket, screenshot description, "what is happening", "diagnose this", expected vs actual on a screen, or /ns-bug-report-diagnosis — even if they never name this skill. Do NOT use if they asked to implement/fix now without a screen story (ns-coder), to execute a GitLab ISSUE_URL as the first skill (ns-execution-gitlab-issue), for stack/CI/log with no screen story (ns-investigator), or for DB-only inspection when the consumer has a DB skill
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
Operating-instructions dispatcher for the openclaw-coder autonomous-programmer workspace. Routes every user message by surface — thread → working session, channel/DM → channel handling — and carries the global rules. The workspace AGENTS.md loads this skill first on every user message.
OpenClaw session cleanup assistant. Use when the user mentions cleaning up OpenClaw sessions, deleting old cron sessions, compacting or rebuilding sessions.json, or troubleshooting session file bloat. Once triggered, first check the number of session files under ~/.openclaw/agents/main/sessions/ and the size of sessions.json, then perform cleanup as instructed.
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser through the `orca` CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", "Orca browser", "orca artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state is involved. Use Computer Use only when a visible window needs GUI control that a CLI, filesystem, or API cannot do.
Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.