Initialize ÆtherLight in a new repository. Sets up folder structure, Git workflow, configuration files, and development standards.

Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory blocks.

Intelligent project analysis with auto-framework detection and adaptive setup. Use when user wants to initialize Quaestor, setup a new project, or analyze existing project structure.

Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.

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Use for MASSIVE work requests requiring multi-epic planning. Creates research spikes, documents all unknowns and decisions, builds resumable architecture documents, and structures work into epics and milestones.

Explain and use the Inline CLI (`inline`) for authentication, chats, users, spaces, messages, search, attachments, downloads, JSON output, and configuration. Use when asked how to use the Inline CLI or its commands, flags, outputs, or workflows.

Generate JSDoc/docstrings from code analysis

Use when writing code - ensure complete JSDoc, docstrings, and inline comments assuming documentation will be generated from code

This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance optimization, local testing, dry-run validation, or submission to earn TIG tokens through improved computational algorithms.

Discovers and indexes Python code in skills, enabling cross-skill imports. Use when importing functions from other skills or analyzing skill codebases.

Create Instagram-specific content strategies for Reels, Stories, feed posts, and growth optimization

Instagram Graph API integration via curl. Use this skill to fetch and publish Instagram media.

This skill creates a complete MkDocs Material project structure for intelligent textbooks. It sets up a Conda virtual environment named 'mkdocs', installs all dependencies, generates mkdocs.yml with all Material theme options, custom CSS for branding, the social_override plugin for custom social media cards, builds the site, and deploys to GitHub Pages. Use this skill when starting a new intelligent textbook project.

Automates the installation of new skills into the skills marketplace project. Handles unpacking, marketplace registration, and documentation updates.

Expert management of install.sh (2000+ lines). Use for installation troubleshooting, idempotency checks, secret generation, volume migration, 11 services startup order (including heuristics and semantic), and user onboarding.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

Use this skill when installing applications, packages, tools, or services on the system. Handles Python (uv), Node/JS/TS (bun), Docker containers, and GitHub-sourced installations with mise-managed tools and ecosystem integration patterns.

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

Use when: (1) constructing prompts for subagents, (2) invoking the Task tool, or (3) writing/improving skill instructions or any LLM prompts

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Manages the complete lifecycle of project instructions: creating initial documentation, syncing with codebase patterns, and organizing modular rules.

Structured outputs with Instructor. Extract typed data from LLMs using Pydantic models and validation. Use for data extraction, structured generation, and type-safe LLM responses.

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Insurance policy analysis, claims evaluation, coverage assessment, and risk management for individuals and businesses

An Insurance Claims Adjuster evaluates insurance claims by collecting evidence, interpreting policy coverage, determining liability, and calculating appropriate settlement outcomes. The role requires

Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions

- Assess risk characteristics of people, property, or activities

Complete guide for integrating Stripe payments (subscriptions or one-time) with Convex + Next.js. Includes user interviews, API setup, webhook configuration, testing phases, and production deployment. Use this skill when Adding payment functionality to a Convex + Next.js app

integrating-usgs-gauges

Эксперт по интеграционным спецификациям. Используй для документирования интеграций, webhooks, event schemas и data flows.

This skill should be used when creating new integration tests for Breenix kernel features. Use for writing shared QEMU tests with checkpoint signals, creating xtask test commands, adding test workflows, and following Breenix testing patterns.

Integration Validator Skill

Cross-MCP workflows that coordinate multiple systems (Linear, GitHub, n8n, Slack) for end-to-end automation. Captures patterns that span tool boundaries.

Integrates Clix Mobile SDK into iOS, Android, Flutter, and React Native

Third-party WordPress plugin integration patterns. Use when adding new integrations, debugging compatibility with other plugins, or working with existing integrations.

Comprehensive systematic debugging agent for hunting down complex bugs, root causes, and error propagation across full stack (frontend, backend, APIs, databases). Use when diagnosing errors, troubleshooting issues, analyzing stack traces, investigating bugs, examining logs, debugging performance problems, or tracking down error causes. Also use when users mention debugging, errors, bugs, failures, crashes, exceptions, or unexpected behavior.

Analyzes user questions and automatically dispatches optimal agents/skills/plugins

Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

Split large texts into meaningful, AI-optimized chunks while preserving semantic coherence and document structure. Use when processing large documents for AI training, RAG systems, or when you need to break down content while maintaining context and relationships.

Analyze and explain the intent behind AI tool calls. Use when you need to understand what an action will do, verify your interpretation is correct, or explain your reasoning to the user.

Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.

Turn rough ideas into iron-clad work orders, then deliver the work only after both parties agree it's right.

Team interaction modes and their evolution over time

Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training classifiers or validating automated phenotyping results.

Create interactive, guided checklists for multi-step workflows, validation processes, onboarding sequences, and complex procedures with step-by-step tracking and decision trees. Use when documenting complex workflows, creating validation procedures, or building step-by-step guides requiring user interaction and decision tracking.

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

Designs interactive theatrical experiences with branching narratives, audience participation systems, and immersive environmental storytelling.