MRI Software integration via Apideck's Accounting unified API — same methods work across every connector in Accounting, switch by changing…
Given founder context (stage, revenue, tenant, product category), return the exact next 3 Microsoft for Startups actions with links…
Detect and fix MSBuild anti-patterns in project and build files.
Guide for MSBuild extensibility: CustomBefore/CustomAfter hooks, wildcard imports with alphabetic ordering, import gating with control…
MSBuild property definition patterns: conditional defaults, composition/concatenation, path normalization, trailing-slash handling, TFM…
Modifies 1C:Enterprise Configuration.xml properties, child object compositions, and default role assignments via automated CLI tooling.
Scaffolds XML source files and directories for new 1C:Enterprise external reports (ERF).
Generates 1C:Enterprise configuration roles and access rights XML files from clean JSON DSL definitions.
Analyzes 1C:Enterprise Data Composition Schema (SKD) XML files to inspect datasets, query texts, calculated fields, resources, and report…
Analyzes 1C configuration subsystem structures, hierarchies, and command interfaces directly from XML exports.
Migrate MSTest v1 or v2 test project to MSTest v3.
Help users index MUD Store events, process on-chain table mutations, store in PostgreSQL or EF Core, normalise schemas, run continuous sync.
Run a browser automation task on a website using natural language.
Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks.
Spawns a team of 3 AI agents with different analytical perspectives to collaboratively analyze a problem, propose solutions, and debate…
How multiple AI agents coexist safely in one shared working directory — the tier model, the GREEN/YELLOW/RED autonomy protocol, the…
Guide for coordinating PM, Frontend, Backend, Mobile, and QA agents on complex projects via CLI.
Design a multi-cloud or cloud portability strategy — provider selection, workload placement, and lock-in management.
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking.
Convert master assets into platform-variant exports with safe-zone enforcement.
Assess and improve cloud portability — identify lock-in, prioritize abstraction, and design migration paths.