Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Interact with Moltbook — the social network for AI agents. Post content, reply to discussions, browse feeds, upvote/downvote, join submolt communities, follow agents, search semantically, and track engagement. Use when the user wants to engage with Moltbook, check their feed, post, reply, or manage their agent presence.
Answer questions from Nietzsche's perspective — the Übermensch philosophy, will to power, revaluation of values and eternal recurrence. Use when the user explicitly asks for this figure's perspective, mentions "nietzsche-perspective", or wants to apply his core method to analyze a problem; do not trigger automatically for general questions.
When the user needs to prepare for a 1:1 with a direct report, give feedback to a team member, handle a performance conversation, or says things like '1:1 with,' 'one on one,' 'give feedback to,' 'performance review,' 'how do I tell my [employee],' 'difficult conversation with,' 'skip-level,' 'coaching my team.' For founder-to-team management, not peer meetings.
When the user wants to design or optimize order fulfillment operations, improve pick-pack-ship processes, or reduce fulfillment costs. Also use when the user mentions "order processing," "pick-pack-ship," "picking strategy," "packing operations," "shipping optimization," "wave planning," "batch picking," or "fulfillment center operations." For warehouse layout, see warehouse-design. For routing pickers, see picker-routing-optimization.
UK taxation expert for HMRC compliance, Making Tax Digital (MTD ITSA/VAT) and Self-Assessment: explain tax treatment; compute income tax/NI/dividend/CGT with band-by-band breakdown; advise on deadlines/forms/penalties; and support MTD developer integration + tax software UX/flows. Use WebSearch (gov.uk/HMRC) to verify current rates and mandation timelines. (project)
One-sentence financial onboarding (and offboarding) of an employee on Qonto. Reads a per-role policy defined once with the user (card caps, online-only, team), then on "Alex starts Monday as a developer" it invites the member, creates the team if new, and prepares a capped card request that conforms to the policy. Offboarding is the mirror image - freeze the cards, generate a recovery checklist, delete nothing. Use for explicit Qonto financial onboarding or offboarding requests such as "onboard Sam as an account exec" or "Sam is leaving Friday — freeze his Qonto cards".
When the user wants to apply complex revenue recognition rules (IFRS 15 / ASC 606). Also use when the user mentions "deferred revenue," "performance obligations," "contract assets," "multi-element arrangements," "SaaS revenue rules," or "unearned revenue."
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
When the user wants to manage corporate liquidity, investments, or financial risks like FX and interest rates. Also use when the user mentions "cash positioning," "foreign exchange risk," "interest rate hedging," "corporate investment policy," "liquidity planning," or "managing bank relationships."
Navigate Taiwan's tax system including corporate income tax (營所稅), business tax (營業稅), personal income tax, withholding obligations, and startup tax incentives. Use this skill when the user needs to understand Taiwan tax obligations, calculate tax liability, file taxes, or plan for tax efficiency — even if they say 'how much tax do we owe', 'what's the corporate tax rate in Taiwan', 'tax filing deadlines', or 'are there startup tax breaks'.
When the user wants to optimize pick wave planning, schedule warehouse operations, or improve order fulfillment efficiency. Also use when the user mentions "wave management," "batch picking," "pick wave scheduling," "order release optimization," "wave design," or "pick wave strategy." For order batching, see order-batching-optimization. For workforce scheduling, see workforce-scheduling.
When the user wants to analyze or optimize working capital — receivables, payables, inventory, and the cash conversion cycle. Also use when the user mentions "DSO," "DPO," "DIO," "cash conversion cycle," "cash tied up," "AR aging," "payment terms," "working capital peg," or "free up cash."
When the user wants to optimize yard operations, manage trailer parking, or improve dock door utilization. Also use when the user mentions "yard management," "trailer tracking," "yard jockey," "drop trailer program," "trailer pool," "dock scheduling," or "gate management." For cross-dock operations, see cross-docking. For warehouse design, see warehouse-design.
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
Analyze women's situation, existential freedom, the construction of the Other and gender liberation from Simone de Beauvoir's perspective, awakening everyone's subjectivity. Use when the user explicitly asks for this figure's perspective, mentions "beauvoir-perspective", or wants to apply her core method to analyze a problem; do not trigger automatically for general questions.
Use when choosing or replacing an Arduino Uno, Uno R4, ESP32, ESP32-S3, Raspberry Pi Pico, Pico W, or another embedded board from project requirements. Compare exact board constraints, toolchains, libraries, power, memory, peripherals, recovery, and lifecycle fit before implementation.
Constructs a structured narrative linking a company's qualitative business story to quantitative valuation drivers (revenue growth, target margin, reinvestment efficiency, cost of capital, failure risk). Classifies the company within a 6-stage corporate life cycle and sizes the total addressable market. Use when starting a company analysis, building a valuation narrative, assessing competitive position, sizing TAM, or when user mentions business narrative, story to numbers, life cycle stage, or company analysis.
Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.
Guide for analyzing chess board images to find the best move(s). This skill should be used when tasks involve analyzing chess positions from images, detecting piece positions, identifying winning moves, or solving chess puzzles. Applies to tasks requiring image-based chess board analysis and move calculation.
When the user wants to optimize clinical trial supply chain, manage investigational products, implement IRT systems, or ensure GCP compliance. Also use when the user mentions "clinical trial supply," "IMP logistics," "IVRS/IWRS," "drug accountability," "randomization and supply," "comparator sourcing," "depot management," "clinical packaging," "site resupply," or "GCP compliance." For pharmacy operations, see pharmacy-supply-chain. For general healthcare logistics, see hospital-logistics.
Interact with CoinFello using the @coinfello/agent-cli to create a smart account, sign in with SIWE, manage delegations, send prompts with server-driven ERC-20 token subdelegations, and check transaction status. Use when the user wants to send crypto transactions via natural language prompts, manage smart account delegations, or check CoinFello transaction results.
Navigate privacy regulations (GDPR, CCPA), review DPAs, and handle data subject requests. Use when reviewing data processing agreements, responding to data subject access or deletion requests, assessing cross-border data transfer requirements, or evaluating privacy compliance.
Analyze the real-time and historical performance, constituent stocks, capital flows and heat of concept sectors (Tonghuashun / Eastmoney), to identify thematic hotspots and rotation. Use when users ask about concept sector trends, concept rotation, sector constituents, concept capital flows, or need concept sector analysis.
When the user wants to implement cross-docking operations, optimize transshipment, or reduce warehouse storage. Also use when the user mentions "crossdock," "transshipment," "flow-through distribution," "dock-to-dock," "consolidation center," or "break-bulk operations." For general warehouse design, see warehouse-design. For dock scheduling, see dock-door-assignment.
When the user wants cost-volume-profit analysis, breakeven points, or operating leverage assessment. Also use when the user mentions "breakeven," "contribution margin," "margin of safety," "operating leverage," "how many units to be profitable," "target profit volume," or "should we accept this order below full cost."
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
When the user wants to design distribution center networks, optimize DC placement and flows, or configure multi-echelon distribution systems. Also use when the user mentions "DC network design," "distribution network optimization," "multi-echelon distribution," "regional DC placement," "distribution strategy," "fulfillment network design," or "supply chain network configuration." For warehouse location, see warehouse-location-optimization. For general facility location, see facility-location-problem.
When the user wants to solve lot-sizing problems with time-varying costs or demand, handle non-stationary inventory systems, or optimize replenishment with changing parameters over time. Also use when the user mentions "time-varying lot sizing," "finite horizon lot sizing," "dynamic EOQ," "price changes over time," "seasonal lot sizing," "Wagner-Whitin with time-varying costs," or "rolling horizon planning." For stationary systems, see economic-order-quantity or lot-sizing-problems. For stochastic demand, see stochastic-inventory-models.
When the user wants to solve Flow Shop Scheduling Problems (FSP), optimize production on assembly lines, or minimize makespan with linear routing. Also use when the user mentions "flow shop," "FSP," "permutation flow shop," "assembly line scheduling," "sequential processing," or "linear production." For job shop (flexible routing), see job-shop-scheduling.
When the user wants to optimize retail fuel distribution, manage gasoline and diesel delivery, or plan petroleum product logistics. Also use when the user mentions "gas station supply," "fuel delivery routing," "petroleum retail," "tank truck scheduling," "fuel terminal operations," "wholesale fuel distribution," or "retail fuel network." For upstream, see drilling-logistics. For midstream, see energy-logistics.
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.