Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Triggers on "save this", "remember", "what do I know about", "add to toolbox", "my notes on", "store this concept".

Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Triggers on "save this", "remember", "what do I know about", "add to toolbox", "my notes on", "store this concept".

Use when building with Reka UI (headless Vue components) - provides component API, accessibility patterns, composition (asChild), controlled/uncontrolled state, virtualization, and styling integration. Formerly Radix Vue.

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

Guides modern Rails 8 code architecture decisions and patterns. Use when deciding where to put code, choosing between patterns (service objects vs concerns vs query objects), designing feature architecture, refactoring for better organization, or when user mentions architecture, code organization, design patterns, or layered design.

Fix or hand-configure an existing ElevenLabs API key. Use when a key stopped working (401 or invalid_api_key), when an administrator issued the key, when the user's role cannot create keys, or when the user already has a key and needs it in the right place. Checks whether ELEVENLABS_API_KEY is configured and valid, without reading it into the conversation. Not for first-time setup or adding ElevenLabs to a project (use onboarding).

Use this skill when the user asks to write, generate, run, fix, or migrate unit tests in a Node.js or TypeScript repository that has @vitronai/themis installed (or when the user explicitly mentions Themis). Covers test authoring with intent(...) and test(...), running the suite via `npx themis test`, reading agent-readable failure output, and incremental migration from Jest or Vitest.

Financial data from Yahoo Finance: stock/bond prices, credit analysis, macro dashboard, FX rates, ETF flows, fundamentals, and news. Use when the user asks about stock prices, bond yields, credit metrics, leverage ratios, debt/ebitda, interest coverage, macro indicators (VIX, DXY, treasury yields, oil, gold, BTC), LatAm FX (ARS, BRL, CLP, MXN, COP), ETF holdings, income statements, balance sheets, cash flow, financial news, options chains, dividend history, or analyst ratings/upgrades. Commands: yf price, yf quote, yf compare, yf credit, yf macro, yf fx, yf flows, yf history, yf fundamentals, yf news, yf search, yf options, yf dividends, yf ratings.

Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.

Create or fix llms.txt and llms-full.txt files for a documentation project, following the llmstxt.org specification. Use this skill whenever someone needs to create an llms.txt file, generate a full documentation text dump (llms-full.txt), or fix a malformed llms.txt. Also use when optimizing a docs site for AI crawlers, when setting up AI discoverability files, or when the user mentions making their docs readable by LLMs, ChatGPT, Perplexity, or other AI systems.

Running Suricata against PCAPs offline and validating results via eve.json

Post-migration async/await and .NET 10 performance optimization pass for Blazor apps migrated from Web Forms. Applies modern runtime patterns after the app builds and runs. WHEN: "run L3 optimization", "apply async/await fixes", "optimize migrated Blazor app", "AsNoTracking queries", "StreamRendering", "IDbContextFactory pattern", "what .NET 10 optimizations can we apply", "generate L3 report".

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.

Transforms raw meeting transcripts into high-fidelity, structured meeting minutes with iterative review for completeness. This skill should be used when (1) a meeting transcript is provided and meeting minutes, notes, or summaries are requested, (2) multiple versions of meeting minutes need to be merged without losing content, (3) existing minutes need to be reviewed against the original transcript for missing items, (4) transcript has anonymous speakers like "Speaker 1/2/3" that need identification. Features include: speaker identification via feature analysis (word count, speaking style, topic focus) with context.md team directory mapping, intelligent file naming from content, integration with transcript-fixer for pre-processing, evidence-based recording with speaker quotes, Mermaid diagrams for architecture discussions, multi-turn parallel generation to avoid content loss, and iterative human-in-the-loop refinement.