Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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A-share in-depth investment research analysis framework, referencing the Tonghuashun/Luobo Research system, covering five dimensions: fundamentals (macro + micro), capital flows, technicals, sentiment, and news. Used for in-depth analysis of A-share listed companies and drafting trading plans.
BISON v3.0.1 — Conviction Holder. Patient multi-asset (BTC/ETH/SOL) conviction trader. MIN_SCORE 11 across 9 components (4H/1H structure, momentum, SM alignment, funding, volume, OI proxy, RSI). Conviction-scaled margin tiers (25%/31%/37%) and 7-10× leverage. DSL is wide by design — time-cuts DISABLED — so a real directional thesis can run multiple days into the move. Few trades. Long holds. Big moves. v3.0.1 ships a race-window dedup cache that eliminates the ENGINE_FAILURE retry noise on already-held assets, plus a doubled DSL exit interval to throttle REDUCE_ONLY spam when runtime position-state lags HL.
AI-driven advisor for C: drive space diagnosis and safe cleanup. Locates why space grows and why cleanup is ineffective through NTFS actual-allocated-space measurement, parent-child directory deduplication, app-level growth and post-cleanup regeneration tracking, vendor-managed caches/toolchains, Windows update leftovers, and an inventory of rarely used software and scattered space. Use this skill when the user asks about insufficient C: drive space, cleanup that doesn't work, free space not increasing, caches regenerating, finding rarely used software / large files / hidden usage, migrating data, or reviewing cleanup results.
Foundational context on how the summer camp industry works in the US and Canada, covering what a camp is, day versus overnight, the camp year, the enrollment journey, staffing and J-1 visas, accreditation and jurisdiction, and data and privacy. Load this when working on anything for a summer camp (marketing, operations, staffing, or parent communication) so decisions are grounded in how camps actually operate. The other camp skills build on this context.
Analyze dividend investing opportunities and assess dividend safety, growth potential, and yield. Use when the user asks about dividends, dividend payouts, income investing, or dividend yield. Supports quick screening, deep analysis, and portfolio optimization.
FOX v2.0 — Dual-mode emerging movers scanner. All live trading lessons from Fox v1.0 applied, plus one experimental tweak: Stalker minReasons = 3. Stalker entries must have at least 3 distinct scoring reasons, not just pass the score threshold. This forces breadth of confirmation beyond the auto-awarded base climb score + one bonus. Stalker minScore 7, minTotalClimb 8, tighter Phase 1 for low-score entries, consecutive-loss streak gate. XYZ banned. Leverage 7-10x. DSL exit managed by plugin runtime via runtime.yaml.
GCSE Maths tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas boards. Use when a student asks for help understanding maths topics, answering exam questions, revising for GCSEs, working through calculations, or wants guidance on exam technique for GCSE Maths.
GRIZZLY v7.0.0 — BTC alpha hunter, senpi_runtime_helpers migration. Plumbing-only flip from openclaw-CLI subprocess + mcporter subprocess to in-process SenpiClient (direct HTTPS for MCP, direct HTTP POST to runtime /signals, long-lived producer_daemon). Thesis preserved verbatim from v6.0.0: BTC single-asset trend hunter, six-gate entry validation including v5.5 macro V-recovery gate (block fades within 1.25% of 24h extreme), RSI hard gates (70/30 — BTC-tuned), multi-factor scoring (~17 max), conviction-scaled leverage (7x default / 10x conviction / 10x apex), MIN_SCORE 12, FP-001 quiet hours, FP-003 requireAllConfirmations gate. Trades WITH SM consensus and trend, NOT contrarian. Family member alongside Kodiak (SOL), Wolverine (HYPE), Polar (ETH).
Master the AI tools that transform hiring and HR operations. From sourcing candidates to onboarding, find and retain great talent faster. Use when "hiring, recruiting, HR, talent, performance management, hr, recruiting, hiring, talent, people" mentioned.
When the user is emotionally affected by market volatility, or is trying to get information from market price movements rather than from company analysis. Language signals: "the market is falling, should I sell", "everyone is buying", "this stock has risen a lot, there must be a reason". Not applicable to: purely company fundamental analysis (scenarios without market price judgments).
Use when participating in the OKX Build X AI Hackathon, building on X Layer with OnchainOS or Uniswap AI Skills, submitting projects to Moltbook m/buildx, or voting on hackathon submissions. Covers registration, wallet setup, project submission, voting, scoring, and prizes. Apr 1–15, 2026. Trigger on: hackathon, Build X, X Layer Arena, Skill Arena, OnchainOS hackathon, Uniswap AI Skills, m/buildx, ProjectSubmission.
When the user wants to manage product shelf life, implement FEFO (First-Expired-First-Out), optimize freshness, or handle perishable products. Also use when the user mentions "expiration management," "date code tracking," "FEFO," "freshness optimization," "waste reduction," "markdown management," or "spoilage prevention." For food supply chain, see food-beverage-supply-chain. For pharmaceutical expiry, see pharmaceutical-supply-chain.
Discover and compare public Trakt.tv trending, popular, and anticipated movies and shows from the terminal. Do not use this skill for personal history, watchlist, collection, or list management; the bundled CLI has no user-scoped operations. Use `tmdb` for catalog metadata, credits, images, and provider lookups.
When the user wants to pack 2D rectangular items into bins, optimize 2D cutting patterns, or minimize material waste in 2D packing. Also use when the user mentions "2D packing," "rectangular packing," "sheet packing," "2D bin packing problem," "guillotine cutting," "two-dimensional packing," or "rectangle packing optimization." For 1D problems, see 1d-cutting-stock. For 3D problems, see 3d-bin-packing.
When the user wants to cut 2D sheets optimally, minimize waste in rectangular sheet cutting, or solve two-dimensional cutting stock problems. Also use when the user mentions "2D cutting," "sheet cutting optimization," "panel cutting," "glass cutting," "steel plate cutting," "guillotine cutting patterns," "two-stage cutting," or "2D trim loss." For 1D problems, see 1d-cutting-stock. For bin packing, see 2d-bin-packing. For irregular shapes, see nesting-optimization.
When the user wants to plan production or distribution capacity, analyze capacity requirements, optimize resource utilization, or balance capacity with demand. Also use when the user mentions "capacity analysis," "resource planning," "bottleneck analysis," "capacity expansion," "load balancing," "throughput planning," "utilization optimization," or "capacity modeling." For production scheduling, see master-production-scheduling. For long-term network capacity, see network-design.
China city mobility service. Must use this skill whenever the user expresses any transportation need — including ride-hailing/taxi/car-booking, price checks, route planning (transit/driving/walking/cycling), nearby search, and querying orders/driver location/cancelling orders. Keywords: "打车", "叫车", "去[地点]", "回家", "上班", "下班", "查价格", "多少钱", "路线", "怎么走", "步行到", "附近", "周边", "司机", "订单", "查询订单". Note: even if the user does not explicitly say "打车", it should trigger whenever the request involves going from point A to point B, commuting, or choosing a mode of transport. Do not trigger for: building ride-hailing apps, using other navigation apps, ordering food delivery, checking bus timetables, or stock/financial report queries.
Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return. Use when the user asks to evaluate dividend aristocrats, calculate dividend reinvestment returns, assess dividend sustainability, compare income stocks, build a dividend growth portfolio, analyze payout ratios and free cash flow coverage, or rank stocks by dividend reliability and long-term total return.
World-class trade execution - minimize market impact, optimize order routing, reduce slippage. The difference between backtest and live is usually execution. Use when "execution, slippage, market impact, order routing, TWAP, VWAP, iceberg, fill rate, best execution" mentioned.
Use when user requests Chinese terminology conversion, checking, or ensuring terminology - "使用繁體中文", "使用台灣用語", "轉換成台灣用語", "確保都是台灣用語", "統一台灣用語", "改成台灣用語", "用台灣的說法", "簡體轉繁體", "繁體轉簡體", "全部改成繁體", "轉成台灣繁體", check/ensure Taiwan/Hong Kong/China terminology, simplified/traditional conversion, or phonetic transcription (Pinyin/Bopomofo)
When the user wants to optimize hospitality purchasing, manage hotel/restaurant suppliers, or improve procurement processes. Also use when the user mentions "hotel procurement," "restaurant purchasing," "hospitality sourcing," "F&B procurement," "hotel supplier management," "group purchasing organization," "contract negotiation," or "hospitality spend management." For hotel operations, see hotel-inventory-management. For cruise operations, see cruise-supply-chain.
ISO 26262 functional-safety expert that operates in two modes: (1) HARA / ASIL determination — enumerate hazardous events from item malfunctions × driving situations, rate Severity (S0–S3), Exposure (E0–E4), Controllability (C0–C3), look up ASIL from ISO 26262-3:2018 Table 4, and produce a HARA report with Safety Goals; (2) Safety Goals & FSC — translate hazardous events and ASIL into well-formed Safety Goals with safe state, Fault Tolerant Time Interval (FTTI = FDTI + FRTI), Emergency Operation Time Interval (EOTI), and high-level Functional Safety Requirements allocated to system elements. Both modes cover ASIL decomposition applicability per Part 9 §5. Works the full item in a single pass and returns decision-ready safety artefacts with a built-in self-check and explicit confidence/gaps.
Interact with the Last.fm music data API: lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts, search by artist/album/track, manage tags, and scrobble listening events. Use when the user asks about music data, listening statistics, music recommendations, similar artists, charts, or wants to scrobble or love tracks. Do not use this skill for unrelated requests; route to the nearest named specialist.
Cross-chain asset transfers via the LayerZero Value Transfer API. Quote, execute, and track bridging of 850 tokens across 170 chains (EVM, Solana, Aptos, TON) using OFT, Stargate, CCTP, and Aori routes. Quote-then-execute workflow with status polling.
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.