Results for “eth”

ALIGN for paper figures — draw a method-overview figure as an executable p5.js program that replays its own construction in named stages, exports SVG, and improves through pixel-only cross-model review whose gate is 'explain the method back from the figure alone, and is it worth looking at'. The method sets the relationships the figure must show, the chosen visual identity sets how its marks look, a composition source lends arrangements; the method may be the source's own (意临) or yours in its arrangement (风格迁移). Not for one-shot raster image generation.

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In patients with adrenal insufficiency receiving dexamethasone replacement, the guideline suggests increasing the dexamethasone dose when enzyme-inducing antiepileptic drugs are co-administered. Trigger phrases include "AI patient on dexamethasone starts enzyme-inducing antiepileptic drug" or "AI patient on dexamethasone requiring enzyme-inducing AED".

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Refactor long methods or large code blocks by extracting small, focused helper methods with clear names and narrow responsibilities. Use when asked to extract methods or run `/refactor:methods`.

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Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods. Use when a method exceeds a cognitive-complexity threshold flagged by a linter or review.

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This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It provides comprehensive ethical hacking methodology and techniques.

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Agent fallback for CBaseEntity_GetHammerUniqueId (auto-generated, category: vfunc). Locate CBaseEntity::GetHammerUniqueId in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_GetHammerUniqueId, CBaseEntity::GetHammerUniqueId

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This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It provides comprehensive ethical hacking methodology and techniques.

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End-to-end MegaETH development playbook (Feb 2026). Covers wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib), MegaEVM gas model, WebSocket keepalive, bridging from Ethereum, and debugging with mega-evme. Use when building on MegaETH, managing wallets, sending transactions, or deploying contracts.

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Check whether coding agents follow their assigned skills and rules across three levels of prompt support. Generate test scenarios, inspect tool call sequences, and get reports showing compliance scores and the order of observed actions.

• Checking whether a newly added rule is followed
• Testing compliance without explicit reminders
• Reviewing tool call order and missed steps

Explore a marketing decision through simulated advisors using well-known marketers' published frameworks. Compare their recommendations, uncover disagreements and trade-offs, and receive a synthesis with concrete next steps suited to the business and its constraints.

• Compare perspectives on a positioning strategy
• Review an advertising concept through several frameworks
• Debate a pricing change or launch plan

Simulate peer review through five perspectives covering journal fit, methods, subject expertise, interdisciplinary implications, and counterarguments. Receive separate review reports, an editorial decision, and a revision roadmap, or check whether revisions address earlier comments.

• Simulate peer review before journal submission
• Check research methods and statistical validity
• Test core arguments against counterarguments

Assess pull requests from external contributors for safety, scope, bug evidence, and outstanding requirements. Produce a verdict table with supporting evidence and draft replies to help maintainers decide what should happen next.

• Triage the queue of external contributor PRs
• Assess whether a fork PR is safe to run in CI
• Check whether a fix fits its target version

Look up Ondo tokens representing US stocks through Binance Web3. Retrieve prices, holder counts, company details, trading restrictions, and candlestick data, and compare token prices with underlying stock prices while accounting for shares represented by each token.

• Research available tokenized US stocks
• Check trading restrictions and their reasons
• Compare token and underlying stock prices

Evaluate whether a fine-tuned model is ready for release by checking training data, general capability loss, comparisons with the base model, and staged production rollout. Produces an evidence-based promotion or rejection report with one prioritized remedy when rejected.

• Deciding whether to release a fine-tuned model
• Checking whether training reduced general capabilities
• Reassessing a model against updated reference evaluations

Choose a model training method and configuration from paired response preferences or individual positive and negative ratings. Covers DPO, ORPO, KTO, and SimPO, including pair construction, repeated training rounds, and troubleshooting learning settings.

• Choose a training method for paired response preferences
• Select a method for individual positive and negative ratings
• Review learning settings when DPO training loses general capability

Add structured logs, performance metrics, and traces that follow requests across Python services. Establish consistent log fields and request IDs so production failures can be investigated using recorded activity and service health signals.

• Adding searchable JSON logs
• Collecting service metrics with Prometheus
• Following requests across multiple services

Evaluate companies using projected cash flows, dividends, business segments, and comparisons with peers. Select suitable valuation methods, examine how assumptions change estimated value, and check for problems that can make a seemingly cheap stock misleading.

• Selecting valuation methods suited to a company
• Comparing estimated value across multiple methods
• Testing growth-rate and discount-rate assumptions

Analyze A/B test results to decide whether to launch a change, extend testing, stop, or investigate further. Check sample size, statistical significance, uncertainty ranges, and effects on other important metrics, then summarize the recommendation and next steps.

• Checking whether an A/B test shows a meaningful difference
• Reviewing sample size and test duration
• Deciding whether to launch a tested change

Turn verified corrections and repeated workflows into reusable local methods. Check existing skills first, then capture when to use a method, its steps, how to validate results, and when to stop.

• Preserving a verified correction for future tasks
• Documenting a recurring workflow
• Checking for overlap with existing skills

Turn a rough research approach into a focused plan with concrete implementation details and a small set of validation experiments. Repeated Claude reviews help refine the method while keeping the original problem and resource constraints in view.

• Turning a rough research idea into an implementable method
• Narrowing a proposal to one main contribution
• Choosing minimal experiments to test core claims

Develop a vague research approach into a concrete method proposal through repeated Gemini reviews. Keep the original problem and constraints in focus while specifying implementation details, removing unnecessary components, and outlining the minimum experiments needed to test the claims.

• Turning a vague research approach into a concrete method
• Keeping revisions aligned with the original problem
• Simplifying an overly complex research proposal

Turn a vague research direction into a focused proposal and a detailed experiment roadmap. This workflow connects method refinement with validation planning, producing review records, an experiment tracker, and a summary of what to run next.

• Turn a rough research idea into a focused proposal
• Plan experiments that test the paper's claims
• Organize experiment order, budget, and decision points

Turn a vague research approach into a concrete method proposal with focused contributions and minimal validation experiments. Ground the plan in relevant papers, then refine it through GPT-6-Astra reviews while preserving the original problem and resource constraints.

• Turn a rough research idea into an implementable method
• Simplify a proposal with too many components
• Clarify novelty against related research

Build UI animations by first deciding whether motion serves a useful purpose. Produces code with suitable timing, transitions, interruption behavior, exit paths, reduced motion support, and hover effects adapted to the input device.

• Add purposeful motion to buttons, modals, or drawers
• Build transitions that handle repeated actions and interruptions
• Adapt animations for reduced motion preferences and touch input