Use when setting up MongoDB database services in a Pikku app. Covers PikkuMongoDB connection, channel stores, workflow services, secret services, AI storage, agent runs, and deployment services. TRIGGER when: code uses PikkuMongoDB, MongoDBChannelStore, MongoDBWorkflowService, MongoDBSecretService, or user asks about MongoDB setup with Pikku. DO NOT TRIGGER when: user asks about SQL databases (use pikku-kysely) or Redis (use pikku-redis).
Use when setting up SQL database services with Kysely in a Pikku app. Covers @pikku/kysely (base), @pikku/kysely-postgres, @pikku/kysely-mysql, @pikku/kysely-sqlite — channel stores, workflow services, secret services, AI storage, agent runs, and deployment services. TRIGGER when: code uses Kysely, PikkuKysely, KyselyChannelStore, KyselyWorkflowService, KyselySecretService, or user asks about SQL database setup, Postgres/MySQL/SQLite with Pikku. DO NOT TRIGGER when: user asks about MongoDB (use pikku-mongodb) or Redis (use pikku-redis).
Document the execution container (VM), request-level TempVM, and parser-level sub-interpreters (statement parsers) in the Origami PHP runtime. Use when the user asks about the interpreter design, runtime container, or wants to update related documentation.
Patterns for writing BTST backend plugins inside the monorepo, including defineBackendPlugin structure, getters.ts/mutations.ts separation, the api factory, lifecycle hook naming conventions, and accessing the adapter in AI tool execute functions. Use when creating or modifying a backend plugin, adding DB getters or mutations, wiring the api factory, or implementing lifecycle hooks in src/plugins/{name}/api/.
Build, run, and debug the Madoc Docker/compose stack with the Docker daemon already running, including rebuilding images, starting/stopping services, inspecting containers/images, and using pm2 inside the madoc-ts container (server/queue/scheduler/auth) plus frontend rebuilds for volume-mounted assets.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
End-to-end cold email domain setup: generate short domain names, check availability, purchase on Dynadot, switch nameservers, set up on Zapmail, create inboxes, and export to your email sending platform. Requires your own Dynadot and Zapmail API keys.
Use this skill when the user asks to work with shapes in annotation-store NDJSON files or JSON stubs that reference annotation stores.
Secure blockchain development for EVM, Solana, Cosmos, and TON. Use when building smart contracts, auditing, or integrating on-chain backends.
Automatically discover diagram and visualization skills when working with flowcharts, sequence diagrams, architecture diagrams, ER diagrams, Gantt charts, mindmaps, or any visual documentation using Mermaid.js. Activates for documentation and visualization tasks.
Creates a NEW Architectural Decision Record (ADR) documenting a specific architectural decision. Use when the user requests "Create ADR for [topic]", "Document decision about [topic]", "Write ADR for [choice]", or when documenting technology choices, patterns, or architectural approaches. Do NOT use for reviews (use architecture-review or specialist-review), checking existing ADRs (use architecture-status), or general documentation.
Structured dev workflows via /brainstorm, /write-plan, /execute-plan. Use when breaking down complex projects into systematic steps.
Systematic code review patterns and checklists. Use when reviewing PRs or diffs for correctness, security, readability, and maintainability.
Frontend aesthetics policy. Use when building UI, components, landing pages, dashboards, or any frontend work. Prevents generic ai-generated look.
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.
Analytics engineering for reliable metrics and BI readiness. Use when building dbt models, defining metrics, or designing analytics layers.
SQL optimization for OLTP systems: EXPLAIN analysis, indexing, schema design, migrations, HA, and security across major SQL platforms.
Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.
