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Found 2,899 Skills
Comprehensive trading skills for the Revolut X Crypto Exchange API. Use this skill to authenticate, fetch market data, manage orders, and execute trades on Revolut X. Includes API documentation and a Python client wrapper.
Explain English technical documents and text in Japanese with contextual understanding. Not a simple translator — reads the surrounding file or codebase context to provide deeper, more accurate explanations tailored for Japanese-speaking developers. Use when: "explain this English", "この英文を解説", "英語の解説", "en-explainer", "what does this mean", "この英文の意味", "英文を日本語で説明", "ドキュメントを解説", "README解説", "エラーメッセージの意味", "コメントの意味", "API仕様の解説", or when the user pastes English text and asks for explanation in Japanese. Also use when the user provides a file path and asks to explain specific English sections, or when they want to understand English code comments, error messages, config files, or technical documentation.
Perform systematic self-review of code changes before commits using structured checklist. Validates architecture boundaries, code quality, test coverage, documentation, and project-specific anti-patterns. Use before committing, creating PRs, or when user says "review my changes", "self-review", "check my code". Adapts to Python, JavaScript, TypeScript, Go, Rust projects.
Use when creating data flow diagrams (DFD), functional decomposition trees, IDEF0 diagrams, or BPMN process models. Covers process-oriented and data-oriented diagram types for analyzing system behavior and data transformation. USE FOR: data flow diagrams (DFD), functional decomposition, IDEF0 modeling, BPMN process modeling, process analysis, data transformation visualization, system behavior documentation, input-output analysis DO NOT USE FOR: object-oriented modeling (use uml), system container decomposition (use c4-diagrams), enterprise architecture (use togaf or archimate)
Swift/iOS static analysis CLI. Use `depgraph` to find who calls a function, what breaks if you change a file, track call sites and blast radius before refactoring, and map symbol dependencies across files. Use `ask` to consult Swift/iOS/tvOS/watchOS/macOS documentation and best practices.
Clean Code, Dart Guidelines & Documentation
Produces calibrated three-point estimates (best/likely/worst case) with explicit unknowns, confidence intervals, and assumption documentation. Breaks work into atomic units, identifies technical and scope uncertainties, calculates PERT ranges, and provides confidence rationale. Triggers on: "estimate this", "how long will this take", "effort estimate", "time estimate", "best case worst case", "confidence interval", "sizing", "estimate effort", "how big is this", "story points", "t-shirt sizing", "estimate the work", "PERT". NOT for task decomposition, implementation plans, or dependency mapping — use task-decomposer instead. Use this skill when a task or project needs an effort estimate with explicit uncertainty.
Real-time web search using Playwright-controlled browser. Use this skill when you need current information, latest documentation, recent news, or any data beyond your knowledge cutoff (January 2025).
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation, normalization, OCSF mapping, enrichment, lookup tables, contexts, packages, nodes, platform setup, deployment, configuration, integrations with tools like Splunk, Kafka, S3, Elasticsearch, or any other Tenzir feature. Also use when the user asks how to collect, route, filter, aggregate, or export security data with Tenzir, or needs help writing or debugging TQL pipelines, even if they don't mention 'Tenzir' explicitly but are clearly working in a Tenzir context.
Use this skill when writing user stories, defining acceptance criteria, story mapping, grooming backlogs, or estimating work. Triggers on user stories, acceptance criteria, story mapping, backlog grooming, estimation, story points, INVEST criteria, and any task requiring agile requirements documentation.
Use this skill when designing help center architecture, writing support articles, or optimizing search and self-service. Triggers on knowledge base, help center, support articles, self-service, article templates, search optimization, content taxonomy, and any task requiring help documentation design or management.
Use when users provide vague, underspecified, or unclear requests where they need help defining WHAT they actually want - across ANY domain (writing, analysis, code, documentation, proposals, reports, presentations, creative work). Trigger aggressively when users express VAGUE GOALS ("make this better", "improve our X", "figure out what to include", "I don't know where to start", "kinda lost on what to do", "not sure what this means"), UNDEFINED SUCCESS ("should look professional", "explain this clearly", "make it convincing", "whatever works best", missing constraints/audience/format), COMMUNICATION UNCLEAR ("how do I explain/communicate this", "my team gets confused when I describe it", "help me figure out what to ask about X"), AMBIGUOUS REQUIREMENTS ("analyze the data" without saying what to look for, "improve documentation" without saying how, "make it more robust" without defining robustness, any request with multiple valid interpretations), or META-PROMPTING ("optimize this prompt", "improve my prompt", "make this clearer", "review my instructions", learning about prompt frameworks like CO-STAR/RISEN/RODES, understanding what makes prompts effective). Trigger for non-technical users and ANY situation where the request needs refinement, structure, or clarification before execution can begin. When in doubt about whether a request is clear enough - trigger.