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Found 5,602 Skills
Builds and queries multi-language source code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, and entry point enumeration. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, or building a code graph for audit prioritization. Supports 16 languages including Solidity, Cairo, Circom, Rust, Go, Python, C/C++, TypeScript.
Fetch, scrape, or download football data from any source. Also handles API key setup and credential management. Use when the user wants to get data from StatsBomb, Opta, FBref, Understat, SportMonks, Wyscout, Kaggle, or any football data source. Also use when they ask about API keys, authentication, setting up access to a provider, or what data is available free vs paid.
Structured web research framework for AI agents. Teaches your agent to conduct multi-source research, synthesize findings into actionable briefs, maintain a research library, and track evolving topics over time. Use when you need market research, competitor analysis, topic deep-dives, or ongoing monitoring of trends and news. Works with any agent that has web search capabilities.
Read and analyze arXiv papers by fetching LaTeX source, listing sections, or extracting abstracts. Use when the user mentions arXiv, research papers, preprints, paper IDs like 2301.xxxxx, or wants to read academic publications.
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, dissects decisions with no good options, forces honest post-mortems, and identifies blind spots before competitors or board members do. Use when you need plan validation, board preparation, hard decision frameworks, assumption stress-testing, failure analysis, or when user mentions stress test, challenge, board prep, hard decision, pre-mortem, post-mortem, devil's advocate, plan review, or executive coaching.
Enforce separation of concerns by separating the view from the application logic.
Describes how blockchain analytics platforms work in practice, typical use cases (markets, compliance, law enforcement, tax, market integrity), tool layers like visualizers and tracers, and limitations of heuristic attribution. Use when the user asks about blockchain analytics for AML, transaction monitoring, forensic tracing, institutional ops, or taint-style analysis at a high level.
[Pragmatic DDD Architecture] Guide for creating DDD Repositories (Interfaces and Infrastructure). Use when creating repository contracts or implementing them using Drizzle ORM, Zod, and Postgres. Enforces completely typed transactions with Drizzle Transaction types (no 'unknown'), Result returns for Railway-oriented programming via neverthrow, and mapping pg node errors to domain errors. Fits our docker-compose / drizzle-kit standard testing workflow.
Test-Driven Development enforces the RED-GREEN-REFACTOR discipline on every code change an agent produces.
NeuroForge QA is a QA/UX review system grounded in the 30 Laws of UX and QA engineering standards. Works with ANY framework, language, or software — React, Vue, iOS, Android, APIs, wireframes, or plain descriptions. On activation it scans the project and creates (or reads existing) files in a /neuroforge/ folder: project analysis, UX audit, risk register, accessibility audit, and test cases in /neuroforge/test-cases/. Treats these files as single source of truth, updating incrementally. Trigger on: "review my UI", "audit this design", "write test cases", "check my UX", "QA this flow", "critique my wireframe", "write tests for", "find bugs in", any screenshot shared for feedback, or any request for QA or UX analysis of a product, screen, flow, or codebase. When in doubt, trigger.
Guides systematic PyTorch recommender-system model development across compact data facts, existing source code, configs, focused tests, and training loops without overloading context from broad research archives. Use when building, debugging, or refactoring torch/nn.Module RecSys models with Transformer/HSTU/attention blocks, sparse/dense/list feature fusion, pCVR/CTR heads, ablation axes, or competition codebases where many model ideas exist but bugs and interface drift must be controlled. 用来指导推荐系统 PyTorch 模型开发、Transformer/HSTU 建模、关键数据事实、特征交互、shape/debug、训练闭环和已有模型结构的系统化推进。
Boomi platform help — enterprise iPaaS, 1000+ connectors, API Management, Data Hub MDM, Flow low-code builder, Event Streams, B2B/EDI, AgentStudio AI agents, MCP support. Use when Boomi integration keeps failing or data isn't syncing, connector won't authenticate to SAP or Salesforce, per-connection pricing is spiraling and you need to optimize, debugging a Boomi process is painful with vague error messages, evaluating Boomi vs MuleSoft vs Workato, or setting up API management and governance. Do NOT use for simple Zapier/Make automations (use /sales-integration) or MuleSoft-specific questions (use /sales-mulesoft).