Orchestrates TypeScript SDK integration for Aptos dApps. Routes to granular skills for specific tasks (client setup, accounts, transactions, view functions, types, wallet adapter). Use this skill for fullstack dApp integration or when multiple SDK concerns are involved. Triggers on: 'typescript sdk', 'ts-sdk', 'aptos sdk', 'SDK setup', 'interact with contract', 'call aptos', 'aptos javascript', 'frontend integration', 'fullstack'.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Teaches an agent graph engineering — both halves. Knowledge graphs (ontology design, entity/relation/event extraction, fusion, GraphRAG/memory serving; distilled and translated from Southeast University's graduate Knowledge Graph course, npubird/KnowledgeGraphCourse, 4.4K stars) and task graphs (agent orchestration — parallel fan-out, verifier separation, the stop rule, human gates). Use when asked to build a knowledge graph, extract entities/relations from text, design an ontology, dedupe/merge entities, add graph memory or GraphRAG to an agent, orchestrate multi-agent workflows as a graph, or LEARN graph engineering — in teaching mode the agent explains each stage with worked examples and generates visual diagram artifacts.

Activates Standard of Excellence enforcement for the current session. Load before starting any task to apply completion standards: finish the whole thing, fix the root cause, ship the complete working result. Blocks partial solutions, workarounds, deferred threads, and invented content limits when the permanent solve is within reach. Triggers: 'do the whole thing', 'boil the ocean', 'standard of excellence', 'finish it completely', before starting any implementation, refactoring, or multi-step task where partial output is a risk. Does NOT apply to: read-only queries, one-line typo fixes, pure knowledge questions, or single-output summarize requests.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

Use when reviewing XcodeBuildMCP tests for correct unit, snapshot, schema, smoke, and external process boundaries.

Search and analyze Datadog logs and metrics using API for cupixworks-api and cupixworks-worker services. Use when debugging errors, investigating issues, searching logs, analyzing worker jobs, checking Sidekiq logs, querying metrics, or finding specific log entries by class/function names. Supports error/warn/info log levels with 14-day retention for logs.

Guidance for working with Pulumi ESC (Environments, Secrets, and Configuration). Use when users ask about managing secrets, configuration, environments, short-term credentials, configuring OIDC for AWS, Azure, GCP, integrating with secret stores (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, 1Password), or using ESC with Pulumi stacks.

Create, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.

Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Output is always a standalone .svg file.

Hexagonal architecture layering for Java services with strict boundaries. Trigger: When structuring Java apps by Domain/Application/Infrastructure, or refactoring toward clean architecture.

AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization. Use when analyzing AWS infrastructure, resource inventory, security compliance, capacity planning, or cost savings. Trigger: "show EC2 instances", "find RDS databases", "VPC resources", "AWS cost optimization", "Lambda functions", "ECS services", "security groups", "unattached EBS volumes", "AWS load balancer topology", "publicly accessible databases", "AWS dashboards". Do NOT use for explaining existing queries, product documentation questions, generic host CPU/memory metrics (use dt-obs-hosts), application-level tracing (use dt-obs-tracing), or log analysis (use dt-obs-logs).

Distributed traces, spans, service dependencies, and request flow analysis. Use when investigating span-level details, failures, performance bottlenecks, or trace correlation. Trigger: "trace analysis", "slow requests", "failed spans", "service dependencies", "distributed trace", "span details", "HTTP status codes in traces", "database query spans", "messaging spans", "gRPC calls", "Lambda cold starts", "trace ID lookup", "exception analysis", "correlate logs and traces", "request attributes". Do NOT use for explaining existing queries, product documentation or configuration questions, service-level RED metrics (use dt-obs-services), log searching (use dt-obs-logs), or problem analysis (use dt-obs-problems).

Deep research on an idea before writing a PRD. Explores existing solutions via web search, analyzes competitors, assesses technical feasibility, and optionally explores the codebase. Use when asked to "research this idea", "investigate this feature", "what already exists for X", "explore solutions for X", "do research before the PRD", "look into X", or /research. Outputs a structured research document at docs/research/{name}.md. Suggests running /prd-designer as the next step. Dependencies: WebSearch (optional).

Diagnoses and fixes conflicts between Tailscale and proxy/VPN tools (Shadowrocket, Clash, Surge) on macOS. Covers five conflict layers - (1) route hijacking, (2) HTTP proxy env var interception, (3) system proxy bypass, (4) SSH ProxyCommand double tunneling, and (5) VM/container runtime proxy propagation (OrbStack/Docker). Includes SOP for remote development via SSH tunnels with proxy-safe Makefile patterns. Use when Tailscale ping works but SSH/HTTP times out, when browser returns 503 but curl works, when git push fails with "failed to begin relaying via HTTP", when Docker pull times out behind TUN/VPN, when setting up Tailscale SSH to WSL instances, or when bootstrapping remote dev environments over Tailscale.

Create PDF documents from markdown with proper Chinese font support using weasyprint. This skill should be used when converting markdown to PDF, generating formal documents (legal, trademark filings, reports), or when Chinese typography is required. Triggers include "convert to PDF", "generate PDF", "markdown to PDF", or any request for creating printable documents.

Langfuse repo Git, GitHub, commit, branch, pull request, issue search, release, and production-promotion workflow. Use when staging, committing, pushing, opening PRs, choosing a Linear git branch name, handling Claude, Greptile, or Codex review comments, searching GitHub issues, or changing release/promotion behavior.

Design, implement, review, or harden Langfuse repo-owned autonomous agents. Use for LLM-powered GitHub Actions, scheduled or dispatched agents, agent-created PRs, prompts, allowlists, tokens, untrusted content, or self-updating instructions.

Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts. Use when asked about cloud spend, AWS versus ClickHouse cost splits, cost drivers by provider/service/usage type/account, daily cost per tracing event, infra cost dashboards, or cost regressions visible in Metabase.

librepl - Interactive REPL utilities. Repl class creates command-line interfaces with custom commands, state persistence, and terminal formatting. Supports dependency injection for testability. Use for building CLI tools, interactive debugging interfaces, and developer utilities.