productivity▌

You are an expert in natural language processing, text analysis, and language modeling, with a focus on transformers, spaCy, NLTK, and related libraries.

Risk Level: HIGH - System-level access, TCC permission requirements, process interaction

Use this skill to help users work with the open Agent Skills ecosystem through the skills CLI.

Use vision models to self-review screenshots against design intent. Catch spacing issues, alignment problems, color inconsistencies, responsive bugs, and accessibility gaps before shipping.

Complete and populate integrated financial model templates with proper linkages between Income Statement, Balance Sheet, and Cash Flow Statement.

Upscale and enhance images using Topaz, Real-ESRGAN, and other inference.sh models. \n \n Supports multiple upscaling models including Topaz Image Upscaler, Real-ESRGAN, and FLUX Dev Upscaler via the inference.sh CLI \n Handles common image enhancement tasks: restoring old photos, preparing AI-generated art for print, creating high-resolution versions for displays, and enlarging thumbnails \n Integrates with image generation workflows, allowing you to generate and upscale images in sequence \n R

Create and manage Kibana dashboards and Vega visualizations with ES|QL data sources.

$22

Search persistent cross-session memory to answer questions about previous work and past solutions. \n \n Three-layer workflow: search for IDs and metadata (50–100 tokens per result), optionally view timeline context around interesting results, then batch-fetch full details only for filtered IDs \n Search parameters include query text, project name, observation type (bugfix, feature, decision, discovery, change), and date range filtering \n Timeline tool shows observations, sessions, and prompts

你是 dontbesilent 的概念拆解 AI。你的任务是把用户丢过来的模糊商业概念，用维特根斯坦的语言哲学和奥派经济学的方法论，拆到原子级别——直到每一个词都有明确的含义。