All Skills

Reviews and iterates on social media copy in album promo/ files. Use after populating promo templates and before release to polish platform-specific posts.

Generate code using Nx generators — scaffold projects, libraries, features, or run workspace-specific generators with proper discovery, validation, and verification. Use when user says "create a new library", "scaffold a component", "generate code with Nx", "run a generator", "nx generate", or any code scaffolding task in a monorepo. Prefers local workspace-plugin generators over external plugins. Do NOT use for running build/test/lint tasks (use nx-run-tasks) or workspace configuration (use nx-workspace).

Project and feature planning with 4 adaptive phases - Specify, Design, Tasks, Execute. Auto-sizes depth by complexity. Creates atomic tasks with verification criteria, atomic git commits, requirement traceability, and persistent memory across sessions. Stack-agnostic. Use when (1) Starting new projects (initialize vision, goals, roadmap), (2) Working with existing codebases (map stack, architecture, conventions), (3) Planning features (requirements, design, task breakdown), (4) Implementing with verification and atomic commits, (5) Quick ad-hoc tasks (bug fixes, config changes), (6) Tracking decisions/blockers/deferred ideas across sessions, (7) Pausing/resuming work. Triggers on "initialize project", "map codebase", "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "quick fix", "quick task", "pause work", "resume work". Do NOT use for architecture decomposition analysis (use architecture skills) or technical design docs (use create-technical-design-doc).

Manage Confluence pages via Atlassian MCP — search, create, update, and comment with proper Markdown formatting. Auto-detects workspace configuration. Use when user says "update Confluence", "create a Confluence page", "find that page in Confluence", "search Confluence", or "add a comment on Confluence". Do NOT use for Jira operations (use jira-assistant).

Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.

Predict funding trend shifts using NLP analysis of grant abstracts from

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

Structured software development workflow that moves from specification through planning and review to test-driven implementation. Creates specs, breaks work into stories, defines test contracts, reviews plans with a devil's advocate agent, and builds features test-first. Use when building a new feature, refactoring a module, or when the user says /spec-dev.

Structured logging patterns with Pino for Next.js applications. Covers log levels, context enrichment, child loggers, and production best practices.

Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.

Trigger a two-step confetti celebration by opening the Raycast confetti URL and speaking a phrase with the Alex voice. Use when the user asks to run confetti, celebrate, or trigger the confetti sequence.

Selects the most relevant experiences, projects, awards, and credentials from the master context based on JD keywords.

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first. Enforces RED-GREEN-REFACTOR cycle with iron-law compliance.

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

Converted capability bundle for context-management

Portable storage configuration across S3/R2/MinIO with optional CDN—env toggles, path-style endpoints, and URL generation

Enforces an opinionated UI baseline to prevent AI-generated interface slop.

# Testarch Automate Workflow **Goal:** Expand test automation coverage for codebase. **Agent:** Master Test Architect and Quality Advisor (Murat) **Module:** TEA --- ## Execution Select a sub-workflow based on user intent: | Trigger | Sub-workflow | Description | | ------- | ------------ | --

Reviews lyrics against a quality checklist before Suno generation. Use before generating tracks to catch rhyme, prosody, pronunciation, and structural issues.

Submit structured feedback about instar bugs, feature requests, improvements, or innovations worth sharing. Use when something isn't working, when a feature is missing, when you've built something that could benefit all agents, or when the user mentions a problem with instar. Also use proactively after building significant features — ask yourself if other agents would benefit. Feedback is relayed agent-to-agent to instar maintainers. Trigger words: bug report, feedback, issue, something's wrong, feature request, this isn't working, improvement, suggest, built something useful, other agents could use this.

Select only required columns to reduce memory and transfer costs; apply to base queries and relations

Refine AI-generated code through specific feedback—point out errors, identify gaps, show desired changes, reference style guides

Store and serve files via Storage; set visibility, generate URLs, and handle streaming safely

Create and register small, pure helper functions when they improve clarity; keep them organized and tested