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Found 516 Skills
Use when planning, running, comparing, or recording computational experiments, benchmarks, ablations, autonomous research loops, overnight runs, training runs, or exploratory variants.
Plans real-user QA deliverables: personas, journey maps, exploratory charters, persona/journey/tour/CFR test cases, regression suites, Figma validation checks, automation intent, and user-impact bug reports. Writes artifacts under <qa-output-path>/qa/ for qa-execution to consume. Use when planning QA before execution, documenting journey-driven test strategy, marking flows that need E2E follow-up, or filing structured bug reports. Do not use for live execution, AI implementation audits, CI gate ownership, or technical integration/security/performance suites; use qa-execution or agent-output-audit instead.
Inspeccionar un proyecto existente para descubrir decisiones arquitectónicas implícitas y proponer ADRs candidatos. Usar cuando el usuario quiera auditar un repositorio en busca de decisiones no documentadas, pida "descubrir ADRs", "qué decisiones arquitectónicas tiene este proyecto", "busca ADRs en el repo", "analiza la arquitectura del proyecto" o cualquier variante que implique explorar el código/estructura para inferir decisiones relevantes que merezcan un ADR. Activar también cuando el usuario llegue a un proyecto nuevo y quiera entender qué decisiones ya se tomaron, aunque no mencione explícitamente "ADR".
A skill for writing natural and valuable comments on Reddit communities. Includes the complete workflow from subreddit exploration, comment writing, review, posting, to tracking.
Requirements Discovery Specification, applicable to exploratory scenarios, helps users identify high-ROI functional directions when they are confused through role-playing. Automatically triggered, purely conversational inspiration.
Multidisciplinary creative council for brainstorming and originating game mechanics, systems, and concepts. Use when generating new ideas, exploring mechanic possibilities, seeking inspiration from other domains, evolving existing systems, or when creative ideation is needed. Covers game design, board games, card games, casino mechanics, loyalty systems, game theory, gamification, tulip farming, robotic agriculture, fantasy/sci-fi world-building, industry trends, indie innovation, narrative design, and cross-domain inspiration. Triggers on requests for new ideas, mechanic brainstorming, "what if" exploration, feature ideation, or creative problem-solving.
Unified issue resolution pipeline with source selection. Plan issues via AI exploration, convert from artifacts, import from brainstorm sessions, form execution queues, or export solutions to task JSON. Triggers on "issue:plan", "issue:queue", "issue:convert-to-plan", "issue:from-brainstorm", "export-to-tasks", "resolve issue", "plan issue", "queue issues", "convert plan to issue".
Interview about a plan file to refine it through in-depth questioning. Use when you have a plan that needs validation, refinement, or deeper exploration before implementation. Triggers on "interview me about", "refine this plan", "question this spec".
Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation
Build explorative, interactive learning experiences as Next.js apps using the Geist design system. Use when creating tutorials, explorable explanations, interactive lessons, code sandboxes, quizzes, or any educational UI. Covers the Learning Loop pedagogy, 23+ learning component patterns, progress tracking, spaced repetition, and Bret-Victor-style interactive exploration — all with Geist's dark-first minimal aesthetic.
Multi-Model Collaboration — Invoke gemini-agent and codex-agent for auxiliary analysis **Trigger Scenarios** (Proactive Use): - In-depth code analysis: algorithm understanding, performance bottleneck identification, architecture sorting - Large-scale exploration: 5+ files, module dependency tracking, call chain tracing - Complex reasoning: solution evaluation, logic verification, concurrent security analysis - Multi-perspective decision-making: requiring analysis from different angles before comprehensive judgment **Non-Trigger Scenarios**: - Simple modifications (clear changes in 1-2 files) - File searching (use Explore or Glob/Grep) - Read/write operations on known paths **Core Principle**: You are the decision-maker and executor, while external models are consultants.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.