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Found 13,115 Skills
Помогает совместно прояснить задачу, проверить идею, найти корневую причину проблемы или выбрать подход без реализации. Используй, когда пользователь просит обсудить задачу, разобраться в проблеме, сравнить варианты или задаёт вопросы «что думаешь?» и «как лучше сделать?». Не используй, когда пользователь явно просит составить план, реализовать задачу, проверить изменения кода или сохранить знания проекта.
Use only when explicitly invoked for a concrete output or authorized file or code change where latency is worth reduced exploration, accuracy, completeness, and proof breadth.
Use when answering, explaining, comparing, or guiding conversationally, or when generating and choosing among possible directions, before creating artifacts or mutating state.
Use when turning a confirmed outcome into actionable, ordered implementation steps with file-level changes and proof, then stopping before execution.
Use when observing and rechecking an ongoing process or state until a requested condition, deadline, or meaningful change occurs without mutation.
Case Radar. Given a new thing (new tool/new concept/new ecosystem), scan the ecosystem to find interesting real-world cases, focusing on capturing "authentic assets" (screenshots/source code/demos) instead of GitHub homepage, and output a browsable HTML case collection. Triggered when users say "See what people are doing with X", "Scan the X ecosystem", "What new ways are there to use X in the market", "Show me authentic cases of X", or "/case-radar". Not suitable for: ① In-depth research with clear objectives (use long-research) ② Writing articles/creating PRDs (use writing-assistant / prd-doc-writer) ③ Pure knowledge-seeking without needing HTML (just ask directly).
Autonomous execution workflow for complex long-running tasks. This applies to scenarios where users have a complex or vague task (e.g., "Help me figure out X / Help me evaluate Y / Help me organize this pile of stuff / Help me compare N solutions / Help me run a research"), and expect the AI to decompose, execute, and verify the task on its own, only reaching out to the user at critical moments. It enables unattended autonomous execution for 1-2 hours through the process of "Task Confirmation → Task Queue → Batch Execution → Periodic Queue Verification → Triggered Reporting". It is triggered when users say phrases like "Help me figure out / Evaluate / Organize / Compare / Run a research / Run it on your own don't bother me / Long-running task / Run autonomously". **Not applicable to**: UI design (use design-exploration), to-do priority judgment (use priority-judge), article writing (use writing-assistant), backlog management (use backlog-manager), vision exploration (use vision-exploration), naming (use product-naming), implementation coding tasks with clear specs (code directly).
Systematic Learning Material Generator. Given a new field/technology/concept, AI conducts independent research, builds a knowledge system, and generates HTML learning materials (including framework/cases/engineering/controversies + blind spots). Triggered when the user says "I want to learn X / Help me systematically break down X / I want to master the field of X / Help me organize the full picture of X / Conduct in-depth research on X and explain it systematically / Master X thoroughly". Not applicable for "Is X feasible / Why Y" (use long-research), "What interesting cases are there in X" (use case-radar for scattered cases), "Organize these materials into HTML" (use readable-output to process existing materials), article writing (use writing-assistant), design drafts (use design-exploration).
Controlled plan execution with human review checkpoints - loads plan, executes in batches, pauses for feedback. Supports one-go (autonomous) or batch modes.
3-gate regulatory template orchestrator - manages setup, Gate 1 (analysis), Gate 2 (validation), Gate 3 (generation) for BACEN/RFB compliance.
Creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps for engineers with zero codebase context.
This skill should be used when the user requests actions such as 'review code', 'do a code review', 'review my branch', 'review MR !1234', or 'review PR'