帮助用户提交 Bug Report 或 Feature Request。支持 GitHub Issue(有账户)和本地存档(无账户)两种模式。当诊断发现是代码 Bug 时主动提议,或当用户说"帮我提 issue"、"这是个 bug"、"我想要这个功能"、"submit a bug"、"feature request"时触发。
npx skills add https://github.com/CherryHQ/cherry-studio --skill issue-reporter
每次提交前: gh auth status 2>&1。成功→GitHub模式,失败→本地模式。
Bug Report: 收集信息(描述/复现步骤/期望/平台/版本) → 查重 gh search issues "[关键词]" --repo CherryHQ/cherry-studio --state open --limit 5 → 读模板 .github/ISSUE_TEMPLATE/0_bug_report.yml → 预览给用户 → 确认后 gh issue create → 告知链接
Feature Request: 确认需求→查重→读模板 1_feature_request.yml→预览→确认→提交→记录到 .cherry-assistant/feature-requests.md
Bug 存 .cherry-assistant/bug-reports.md,Feature 存 feature-requests.md:
### [Bug/Feature]: [标题]
- **日期**: YYYY-MM-DD | **平台**: OS | **版本**: vX.X.X
- **描述**: ... | **复现步骤**: 1... 2... | **期望**: ...
- **状态**: 待提交
---
存档后引导: GitHub(推荐) https://github.com/CherryHQ/cherry-studio/issues | 论坛 linux.do | 飞书表单
批量提交: 有权限时可说「帮我把待提交的都提交了」→读文件→筛待提交→逐个查重预览确认→更新状态为「已提交 #号」
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take cherryhq/issue-reporter from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.