ai-figma-vector-production

Use when turning requirement interviews, stakeholder feedback, or scope changes into an incremental requirement alignment log without rewriting the baseline…

Use when expanding academic, research, or analytical writing with higher information density, stronger argument structure, better evidence use, and less…

Use when starting, planning, or reviewing a project that needs demand alignment, 0-to-1 product execution, milestones, risks, and clear deliverables before…

Use when designing or improving document taxonomies, metadata, review states, publication flow, archival rules, and reuse policies for a project or knowledge…

Use when searching, screening, extracting, and organizing academic literature into a usable research base, literature review, or evidence table.

Audit existing skills, prompts, SOPs, and reusable workflows for quality, trigger clarity, length, redundancy, missing context, outdated assumptions…

Distill reusable AI agent skills from completed work, repeated workflows, prompts, SOPs, scripts, debugging sessions, browser automations, research routines…

Use when reducing token cost by replacing repeated AI reasoning, browsing, GUI work, or manual workflows with CLI commands, scripts, templates, or reusable…

Use when reviewing academic, product, project, or engineering documents for structure, factual accuracy, standards compliance, evidence quality…

Use when planning long-running AI agent execution with task queues, fresh-context iterations, progress logs, git checkpoints, tests, and completion criteria.

Use when gathering authoritative industry sources, official data, market reports, evidence tables, and cross-validation material for business research or…

Use when decomposing goals into OKRTS layers, diagnosing problems with 5 Whys, classifying issues by depth and complexity, and choosing execution strategy.