Expand and refine the evaluation suite for a Langium DSL project.
Generate a citable data dictionary / codebook from a tabular dataset (CSV/TSV/Excel/Parquet/Stata/SAS).
Generate a commit message for staged git changes.
MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call.
Generate optimized multi-stage Dockerfiles for Node.js, React/Vite, and Nginx services.
Create docstrings for functions and classes.
Generate realistic mock/seed data for PostgreSQL/Prisma models.
Use when creating or updating a 00-objectives.adoc file for a course module so it matches the repository structure, Dutch writing style…
Generate or refine a language descriptor for a Langium DSL project.
Generate prioritised product backlog from ArcKit artifacts - convert requirements to user stories, organise into sprints
Create optimized project-context.md for AI agent consistency.
Generate a project-specific NeoHive topology block in ./AGENTS.md by surveying connected indexes (list_indexes + memory_stats + sampled…
Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without…
Generates typed Go stub files and grafana-foundation-sdk builder boilerplate for dashboards and alert rules.
Optimizes brand entity authority, citation frequency, and factual accuracy within Large Language Models (LLMs) including OpenAI ChatGPT…
Evaluates product specifications and project roadmaps from an executive perspective to optimize feature scope, user value, and execution…
Validates end-to-end data synchronization, user permissions, and state propagation across mobile, web, and backend surfaces.
Monitors post-release mobile deployments, tracks crash rates and ANRs, and verifies key smoke flows during staged rollouts.
Diagnoses, fixes, and re-verifies mobile app bugs across Flutter and React Native with rigorous regression testing on target devices.
Performs read-only mobile app quality assurance and generates detailed bug reproduction reports for Flutter and React Native projects.
Guides product discovery interviews to clarify problem definitions, challenge assumptions, and identify minimum viable starting points.