testing-standards
Testing conventions for Stock Indicators. Use for test naming (MethodName_StateUnderTest_ExpectedBehavior), FluentAssertions patterns, precision requirements, and test base class selection.
Testing conventions for Stock Indicators. Use for test naming (MethodName_StateUnderTest_ExpectedBehavior), FluentAssertions patterns, precision requirements, and test base class selection.
Form a committee of two high-reasoning agents to step back, do root cause analysis, and produce a plan. Use when stuck, looping, tunnel-visioning, or facing a hard planning problem.
Review code changes for Open Mercato compliance with architecture, security, conventions, and quality rules. Use this skill when reviewing pull requests, reviewing code changes, performing code review, auditing code quality, or when asked to review files, diffs, or commits. Covers module structure, naming conventions, data security, UI patterns, event/cache/queue rules, and anti-patterns.
Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app running locally.
Workflows for submitting, monitoring, and troubleshooting Airflow scheduled jobs
This skill is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).
Media Mix Modeling with PyMC-Marketing. Use when building MMMs, specifying adstock/saturation transformations, setting priors, fitting multidimensional (geo-level) models, computing channel contributions, ROAS, running budget optimization, calibrating with lift tests, or performing sensitivity analysis. Covers the MMM class, GeometricAdstock, LogisticSaturation, MultiDimensionalBudgetOptimizerWrapper, and ArviZ diagnostics for marketing models.
深度研究技能,用于系统性调研与分析。适用于研究、调研、竞品分析、市场分析或结构化信息收集等需求。
Kill chain analysis and attack path decision-making — findings analysis, attack vector selection, target prioritization, phase transitions.
Red team engagement lifecycle management — initiation, phase transitions, go/no-go gates, deconfliction, emergency procedures, completion.
Mandatory first-turn startup procedure — checks for existing engagements, resume/new selection, workspace initialization.
Rules of Engagement document creation — scope definition, prohibited/permitted actions, testing windows, escalation contacts, incident procedures.
从 GitHub Issues 收集用户反馈并生成简报。抓取 higress-group/himarket 的 issues,按类型分类、去重(排除已处理的重复内容),生成包含趋势分析和优先级建议的简报。当用户想了解社区反馈、issue 概况、用户需求趋势时使用此 skill。
Expert research tool for Google Calendar API implementations. PROACTIVELY use when (1) reviewing PRs adding calendar features, (2) planning new event/attendee/recurring event functionality, (3) investigating calendar API issues, (4) validating timezone handling or batch operations. Specializes in recurring events, timezone conversions, multi-calendar support, and edge case identification.
AI-powered crypto trading agent, wallet API, and LLM gateway via natural language. Use when the user wants to trade crypto, check portfolio balances (with PnL and NFTs), view token prices, search tokens, transfer crypto, manage NFTs, use leverage (Hyperliquid or Avantis), bet on Polymarket, deploy tokens, set up automated trading, sign and submit raw transactions, call x402 paid API endpoints, or access LLM models through the Bankr LLM gateway funded by your Bankr wallet. Supports Base, Ethereum, Polygon, Solana, and Unichain.
Interact with the Stakr protocol — ERC-4626 vaults with multi-reward staking. Use when the user or an agent needs to work with Stakr vaults, add or modify rewards (addRewardToken, addRewards, modifyRewardToken, modifyReward), create or manage an "agent vault" or "own vault", fund incentive programs, configure reward schedules, or integrate Stakr in scripts or tooling. Prefer this skill whenever Stakr, StakrVault, rewards, staking, or vault ownership is mentioned.
USDC payments from AI agents to humans via molty.cash. Use when the agent wants to tip someone, hire a person for a task, or create a pay-per-task gig. Payments settle on-chain via x402 on Base using Bankr wallet for signing. Do NOT use for token swaps, DeFi, or non-USDC payments.
Present time-aware itineraries with clear actions and citations
Load top-performing Shinka programs into agent context using `shinka.utils.load_programs_to_df`, and emit a compact Markdown bundle for iteration planning.