Markdown to Word Converter
cat-xierluo/SuitAgent
Converts Markdown files into Word documents formatted to Chinese typesetting conventions, with presets for academic, legal, report and book layouts.
顺势而为，跟着国家走——抓取并分析国家五年规划、政策文件及重大新闻，结合询问者背景（擅长领域、特长、爱好），围绕"投资、创业方向、商业思路、产品思路、就业择业、学习规划"六大维度，生成逻辑严密、图文并茂、有数据支撑的战略分析报告，输出到项目 markdown/ 目录。
Install State Trend Advisor
$ npx skills add digoal/blog --skill state-trend-advisor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digoal/blog state-trend-advisor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .claude/skills/state-trend-advisor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .claude/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add digoal/blog --skill state-trend-advisor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digoal/blog state-trend-advisor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .agents/skills/state-trend-advisor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .agents/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add digoal/blog --skill state-trend-advisor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digoal/blog state-trend-advisor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .cursor/skills/state-trend-advisor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .cursor/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/digoal/blog.git --path skills/skills_for_claude_web/state-trend-advisor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add digoal/blog --skill state-trend-advisor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digoal/blog state-trend-advisor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .gemini/skills/state-trend-advisor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .gemini/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install digoal/blog state-trend-advisorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add digoal/blog --skill state-trend-advisor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .github/skills/state-trend-advisor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .github/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add digoal/blog --skill state-trend-advisor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digoal/blog state-trend-advisor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skills_for_claude_web/state-trend-advisor .opencode/skills/state-trend-advisor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "state-trend-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/state-trend-advisor into .opencode/skills/state-trend-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "state-trend-advisor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
state-trend-advisor- GitHub stars
- 8.6k
- Token cost
- ~1k tokens
- SKILL.md length
- 168 words
- Files
- 2 (incl. references)
- Skills in repo
- 98
- Repo updated
- First seen
- Licence
- GPL-2.0
At a glance
顺势而为，跟着国家走——抓取并分析国家五年规划、政策文件及重大新闻，结合询问者背景（擅长领域、特长、爱好），围绕"投资、创业方向、商业思路、产品思路、就业择业、学习规划"六大维度，生成逻辑严密、图文并茂、有数据支撑的战略分析报告，输出到项目 markdown/ 目录。
- Works in 8 steps: ：解析询问者背景 → ：抓取政策与趋势数据 → ：识别核心趋势与风口 → …
- Tasks that involve Markdown
- SKILL.md covers 核心理念, 执行流程总览, Step 1：解析询问者背景 and Step 2：抓取政策与趋势数据, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
State Trend Advisor is an agent skill from digoal/blog. 顺势而为，跟着国家走——抓取并分析国家五年规划、政策文件及重大新闻，结合询问者背景（擅长领域、特长、爱好），围绕"投资、创业方向、商业思路、产品思路、就业择业、学习规划"六大维度，生成逻辑严密、图文并茂、有数据支撑的战略分析报告，输出到项目 markdown/ 目录。 触发条件：用户提到"顺势而为"、"跟着国家走"、"国家政策方向"、"五年规划"、"赚政策的钱"、"走在趋势上"、"政策红利"、"国家扶持"、"政策风口"、"应该往哪个方向走"、"未来哪些行业有前途"、"政策支持什么方向"、"国家在推什么"，或者用户描述自己的背景/特长并询问未来发展方向时，必须使用本 skill。 即使用户只说"我擅长XX，应该往哪里走"或"现在创业方向怎么选"，也应使用本 skill。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/persona_mapping.md`).
It sits in Documents & Office, covering Markdown. It works with Mermaid. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.
When your agent uses it
- Tasks that involve Markdown
Example prompts
- “投资、创业方向、商业思路、产品思路、就业择业、学习规划”
- “国家政策方向”
- “应该往哪个方向走”
- “/state-trend-advisor”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ad6fcb7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid and bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
State Trend Advisor loads about 1k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 168 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 168 words, ~1,041 tokens.
Download SKILL.mdSave it as
.claude/skills/state-trend-advisor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- state-trend-advisor
- description
- 顺势而为，跟着国家走——抓取并分析国家五年规划、政策文件及重大新闻，结合询问者背景（擅长领域、特长、爱好），围绕"投资、创业方向、商业思路、产品思路、就业择业、学习规划"六大维度，生成逻辑严密、图文并茂、有数据支撑的战略分析报告，输出到项目 markdown/ 目录。 触发条件：用户提到"顺势而为"、"跟着国家走"、"国家政策方向"、"五年规划"、"赚政策的钱"、"走在趋势上"、"政策红利"、"国家扶持"、"政策风口"、"应该往哪个方向走"、"未来哪些行业有前途"、"政策支持什么方向"、"国家在推什么"，或者用户描述自己的背景/特长并询问未来发展方向时，必须使用本 skill。 即使用户只说"我擅长XX，应该往哪里走"或"现在创业方向怎么选"，也应使用本 skill。
State Trend Advisor — 顺势而为战略分析
核心理念
"风来了，猪都能飞。" 本 skill 的核心是：识别国家战略趋势，将个人禀赋映射到政策风口，帮助询问者在势头最强的方向上发力。
执行流程总览
1. 解析询问者背景
2. 抓取国家政策与趋势数据（五年规划 + 近期重大政策）
3. 识别核心趋势与风口
4. 映射个人禀赋 → 趋势机会
5. 生成六维分析报告（投资/创业/商业/产品/就业/学习）
6. 输出 Markdown 报告到 markdown/ 目录Step 1：解析询问者背景
从用户输入中提取以下信息：
| 维度 | 内容 | 若未提供 |
|---|---|---|
| 擅长领域 | 专业、工作经验、技术栈等 | 视为"普通人，无特定专长" |
| 特长 | 软技能、硬技能、资源等 | 视为"通用技能" |
| 爱好 | 兴趣爱好、关注领域 | 视为"广泛兴趣" |
| 目标导向 | 六维中用户最关心的方向 | 全维度输出 |
| 地域 | 用户所在地区 | 默认全国视角 |
若用户未提供背景信息，以"普通中国公民，无特定专业背景"作为基准画像，给出通用建议。
Step 2：抓取政策与趋势数据
使用 web_search 工具并行搜索以下数据源，每类至少搜索 2 次以交叉验证：
2.1 核心政策文件
搜索词（依次执行）：
- "十四五规划 全文 重点方向 site:gov.cn"
- "十五五规划 2026 国家重点方向"
- "2025年 国务院 重大政策 发布"
- "2025年 中央经济工作会议 部署"
- "国家战略性新兴产业 最新政策 2025"2.2 产业政策与补贴
- "新质生产力 重点方向 2025"
- "国家扶持产业 补贴政策 2025"
- "战略性新兴产业 七大方向 最新"
- "未来产业 政策支持 2025 2026"2.3 投资与就业信号
- "国家重点投资领域 2025 基建"
- "紧缺人才 国家需求 2025"
- "高薪就业 政策支持行业 2025"2.4 验证与补充
对搜索结果中出现的重要政策文件，使用 web_fetch 获取原文关键章节，确保数据准确。
数据校验原则：
- 优先使用 gov.cn、新华社、人民日报等权威来源
- 标注数据来源和发布时间
- 对相互矛盾的信息，优先采信最新、最权威来源
Step 3：识别核心趋势与风口
基于抓取数据，提炼3-5 个最强政策风口，按照以下框架分析每个风口：
风口名称：[名称]
政策支撑强度：★★★★★（1-5星）
市场规模预测：[数字 + 来源]
政策进入阶段：[萌芽期/成长期/爆发期/成熟期]
典型历史参照：[类比案例，如"类似2012年移动互联网"]
主要受益群体：[技术人员/普通创业者/资本/就业者]Step 4：映射个人禀赋 → 趋势机会
构建禀赋-趋势匹配矩阵：
- 纵轴：询问者的核心禀赋（3-5项）
- 横轴：识别出的政策风口（3-5个）
- 评分：1-5分，综合考虑"切入难度"、"竞争烈度"、"个人匹配度"
优先推荐匹配分 ≥ 3 且风口强度 ≥ 3星的组合。
Step 5：生成六维分析报告
报告结构（ALWAYS 使用此结构）
# 《顺势而为：[询问者画像] 的战略方向报告》
生成时间：[日期]
## 一、国家战略趋势总览
## 二、核心风口识别（Top 3-5）
## 三、六维行动建议
### 3.1 投资方向
### 3.2 创业方向
### 3.3 商业思路
### 3.4 产品思路
### 3.5 就业择业
### 3.6 学习规划
## 四、禀赋-趋势匹配矩阵
## 五、风险与注意事项
## 六、行动优先级清单
## 七、数据来源Step 6：图表要求与规范
SVG 图表（外挂式，必须保存为独立 .svg 文件）
每份报告至少包含以下 3 类图表，全部以外挂方式引用：
图表 1：政策风口热力图（SVG）
- 文件名：
trend_heatmap.svg - 内容：各风口的"政策强度 × 市场空间 × 时间窗口"气泡图
- 在 Markdown 中引用：
图表 2：禀赋-趋势匹配矩阵（SVG 或 Mermaid）
- 文件名：
match_matrix.svg（若用 Mermaid 则内嵌） - 内容：个人禀赋与政策趋势的交叉评分热力表
图表 3：行动路径时间轴（SVG 或 ASCII）
- 文件名：
action_timeline.svg（若用 ASCII 则内嵌） - 内容：从"现在"到"3年后"的关键行动节点
SVG 设计规范
- 画布：viewBox="0 0 800 500"
- 背景：#0f172a（深色） 或 #f8fafc（浅色）
- 主色系：蓝色 #3b82f6、金色 #f59e0b、红色 #ef4444、绿色 #22c55e
- 字体：font-family="Arial, 'PingFang SC', sans-serif"
- 标题字号：18px，正文：13px，注释：11px
- 所有 SVG 文件保存在 markdown/ 目录下，与 .md 文件同级Mermaid 图（内嵌于 Markdown）
用于流程图、关系图、时间轴（当 SVG 过于复杂时使用）：
graph TD
A[国家政策] --> B[五年规划]
A --> C[产业政策]
B --> D[风口识别]
C --> D
D --> E[个人匹配]Step 7：报告写作规范
语言风格
- 面向决策者：每个建议都要有"做什么"+ "为什么"+ "怎么开始"
- 通俗易懂：避免官方文件体，用商业语言转化政策语言
- 有温度：理解询问者的处境，给出有人情味的建议
- 不模糊：避免"可以考虑"等废话，给出明确方向
数据引用格式
> 据[来源]，[时间]，[具体数据/政策内容]。
> 来源：[URL 或文件名]历史案例引用（增加说服力）
每个风口建议需配 1 个历史参照案例：
- 格式：
📌 历史参照：[时间] [事件] → [结果]，说明[类比逻辑] - 示例：
📌 历史参照：2012年 4G牌照发放 → 催生移动互联网十年红利，说明基础设施政策往往提前3-5年布局
Step 8：文件输出
# 确保输出目录存在
mkdir -p markdown/
# 输出文件列表
markdown/
├── state_trend_report_[日期].md # 主报告
├── trend_heatmap.svg # 政策风口热力图
├── match_matrix.svg # 禀赋匹配矩阵（可选，也可内嵌）
└── action_timeline.svg # 行动时间轴（可选，也可内嵌）命名规范：
- 日期格式：
YYYYMMDD，如state_trend_report_20250611.md - 若询问者有明确身份，可加后缀：
state_trend_report_20250611_developer.md
常见禀赋-趋势映射速查
参见
references/persona_mapping.md获取常见职业/背景到趋势的快速映射参考。
质量自检清单
完成报告后，逐一确认：
- 政策数据来自权威来源（gov.cn / 新华社等），且有明确时间标注
- 每个风口都有至少一个历史案例支撑
- 六维建议（投资/创业/商业/产品/就业/学习）全部覆盖
- 至少 3 张图表（热力图 + 矩阵 + 时间轴）
- SVG 文件为外挂式，在 Markdown 中正确引用
- 报告有明确的"行动优先级清单"（可执行，非口号）
- 风险章节提醒了政策执行落差、时间窗口等注意事项
- 文件已保存到
markdown/目录
© digoal, GPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
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SKILL.md and 1 other file (references) in skills/skills_for_claude_web/state-trend-advisor of digoal/blog.
- SKILL.md
- references/persona_mapping.md
Open the folder on GitHubat commit ad6fcb7
Compare with similar skills
State Trend Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| State Trend Advisor this skilldigoal/blog | 8.6k | — | ~1k | Automated safety check: Pass | GPL-2.0 | |
| Markdown to Word Convertercat-xierluo/SuitAgent | 205 | — | ~559 | Automated safety check: Pass | MIT | |
| Chinese Quotes Fixranxi2001/zero2Agent | 703 | — | ~735 | Automated safety check: Pass | MIT | |
| Bangunai Blog ManagerLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.7k | Automated safety check: Pass | MIT | |
| X Article Publisherwshuyi/x-article-publisher-skill | 871 | 2 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Markdown PRD to HTML Rendererowainlewis/blueprint | 412 | — | ~1.3k | Automated safety check: Pass | MIT |
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Questions about State Trend Advisor
What does State Trend Advisor do?
顺势而为，跟着国家走——抓取并分析国家五年规划、政策文件及重大新闻，结合询问者背景（擅长领域、特长、爱好），围绕"投资、创业方向、商业思路、产品思路、就业择业、学习规划"六大维度，生成逻辑严密、图文并茂、有数据支撑的战略分析报告，输出到项目 markdown/ 目录。. State Trend Advisor is an agent skill from digoal/blog.
When should I use State Trend Advisor?
State Trend Advisor fits situations like: tasks that involve Markdown.
How do I install State Trend Advisor in Claude Code?
Run `npx skills add digoal/blog --skill state-trend-advisor -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/state-trend-advisor in digoal/blog) into .claude/skills/state-trend-advisor in your project. Claude Code loads it when a task matches its description.
How do I install State Trend Advisor in Codex?
Run `npx skills add digoal/blog --skill state-trend-advisor -a codex`. Or copy the skill folder (skills/skills_for_claude_web/state-trend-advisor in digoal/blog) into .agents/skills/state-trend-advisor in your project. Codex loads it when a task matches its description.
Can I use State Trend Advisor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add digoal/blog --skill state-trend-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/state-trend-advisor, .gemini/skills/state-trend-advisor, .github/skills/state-trend-advisor and .opencode/skills/state-trend-advisor in your project.
What does State Trend Advisor need to run?
SKILL.md names no scripts, command-line tools or credentials: State Trend Advisor is instructions for the agent only.
Does State Trend Advisor access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is State Trend Advisor safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does State Trend Advisor use?
State Trend Advisor is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does State Trend Advisor use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
What are the alternatives to State Trend Advisor?
Skills that share tags, products or a category with State Trend Advisor: Markdown to Word Converter (cat-xierluo/SuitAgent, 205 stars), Chinese Quotes Fix (ranxi2001/zero2Agent, 703 stars), Bangunai Blog Manager (LeoYeAI/openclaw-master-skills, 2.2k stars) and X Article Publisher (wshuyi/x-article-publisher-skill, 871 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains State Trend Advisor?
digoal (a GitHub user) maintains it in digoal/blog, which has 8,586 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.
Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.