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Interactive Plotly Visualizations

sickn33/antigravity-awesome-skills

Plotly is a Python graphing library for building interactive dashboards and exploratory analysis with hover tooltips, zoom/pan, Plotly Express for rapid charts, Graph Objects for custom traces, and exports to HTML or static images.

Domain Flow Extraction

understand-domain

Lum1104/Understand-Anything

Extracts business domain knowledge from a repository by scanning files or reusing an existing understand graph, then feeds the analyzer to build and launch an interactive domain flow graph in the dashboard.

Human Mirror Response

alirezarezvani/claude-skills

Adds a self-mirroring layer where AI drafts its instinctive reply, critiques it, and then crafts a shorter, emotionally attuned response so conversations feel more human for personal or charged topics.

Feishu Task Manager

op7418/CodePilot

Manage Feishu tasks and tasklists through intent-based actions: create, query, update, complete, reopen, and organize assignments with role-aware members and ISO 8601 deadlines.

Feishu Troubleshoot Assistant

feishu-troubleshoot

op7418/CodePilot

Feishu plugin troubleshooting tool combining FAQ guidance with the /feishu doctor command to inspect permissions, API connectivity, app credentials, and user authorizations, then generate diagnostic reports and remediation steps.

Feishu Document Updater

feishu-update-doc

op7418/CodePilot

Automates Feishu doc edits with seven modes (append, overwrite, replace_range, replace_all, insert_before/after, delete_range) plus optional title sync, letting teams tweak specific sections without rebuilding entire files.

Humanize Chinese Writing

humanize-chinese

sickn33/antigravity-awesome-skills

Detects AI-like Chinese prose, highlights suspicious patterns, and rewrites the text with natural rhythm while preserving facts and tone, including academic AIGC reduction and style conversions such as Zhihu or Xiaohongshu.

UXUI Evaluation Toolkit

uxui-principles

sickn33/antigravity-awesome-skills

Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context during AI-assisted design or coding sessions to surface severity-tagged findings and actionable remediation.

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