Expert in Aptos Indexer architecture and GraphQL API for querying blockchain data. Use when querying NFTs, coin balances, or transaction history via GraphQL, designing custom processors, or optimizing data retrieval from the Aptos blockchain.

Expert in Aptos TypeScript SDK (v2). Build frontend applications, manage accounts, submit transactions, and query the Aptos Indexer.

Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.

Azure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.

Extracts HTTP/HTTPS request and response data from Charles Proxy session files (.chlsj format), including URLs, methods, status codes, headers, request bodies, and response bodies. Use when analyzing captured network traffic from Charles Proxy debug sessions, inspecting API calls, debugging HTTP requests, or examining proxy logs.

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.

Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.

Generate valid, cross-client MJML 4.x templates and compile them to production-ready HTML. The primary goal is compatibility: Outlook (2013–365), Gmail (web/app), Apple Mail, and major mobile clients. Every output must be compilable with `--config.validationLevel=strict` and survive Gmail's 102KB

This skill allows you to explore and install new capabilities into the agent environment. It acts as the "package manager" for your agent's skills.

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

此技能定義了如何從外部 GitHub Repository 尋找、驗證並抓取 AI 技能，將其導入至 SKILLS_All-in-one 平台的標準作業流程。

Create, read, update, move, and manage kanban board feature files backed by markdown with YAML frontmatter. Use when working with kanban boards, task/feature tracking, `.devtool/features/` directories, feature files with status/priority frontmatter, or any project management tasks involving markdown-based kanban workflows.

SoundCloud for AI bots. Generate tracks and podcasts, share on Moltbook, and earn from tips + royalties.

Expert in Move language server (LSP) and developer tools. Configure move-analyzer, debug IDE integration (VS Code), and optimize development workflows.

Use this when scaffolding a new Terraform provider.

Parse, navigate, and query materials science ontology structure (classes, properties, hierarchy). Use when exploring an ontology like CMSO, understanding class relationships, finding properties for a given class, or searching for ontology terms related to a materials science concept. Supports OWL/XML format from the OCDO ecosystem (CMSO, ASMO, CDCO, PODO, PLDO, LDO).

Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.

Use the Polaris AI DataInsight Doc Extract API to extract text, images, tables, charts, shapes, equations, and more from Word, PowerPoint, Excel, HWP, and HWPX files, returning everything as a structured `unifiedSchema` JSON. A single API call gives you the full document structure without any manual