Daily
sickn33/agentic-awesome-skills
Documentation and capabilities reference for Daily. An agent skill from sickn33/agentic-awesome-skills.
基于 daily-finance 和 finance-core-analysis 的产出，综合搜索权威市场数据（量价、资金流、VIX、北向、期权持仓、机构配置等），运用三因子定价模型和预期差框架，生成未来一周中美股市看涨/看空行业和个股的深度预测报告，包含明确操盘建议（买卖点、分段持仓、行动指南）。触发条件：用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些…
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Install Finance Weekly Outlook
$ npx skills add digoal/blog --skill finance-weekly-outlook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digoal/blog finance-weekly-outlook --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/finance-weekly-outlook .claude/skills/finance-weekly-outlook && 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 "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .claude/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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/finance-weekly-outlookType 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 finance-weekly-outlook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digoal/blog finance-weekly-outlook --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/finance-weekly-outlook .agents/skills/finance-weekly-outlook && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .agents/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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 finance-weekly-outlook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digoal/blog finance-weekly-outlook --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/finance-weekly-outlook .cursor/skills/finance-weekly-outlook && 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 "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .cursor/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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/finance-weekly-outlook--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 finance-weekly-outlook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digoal/blog finance-weekly-outlook --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/finance-weekly-outlook .gemini/skills/finance-weekly-outlook && 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 "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .gemini/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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 finance-weekly-outlookInstalls 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 finance-weekly-outlook -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/finance-weekly-outlook .github/skills/finance-weekly-outlook && 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 "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .github/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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 finance-weekly-outlook -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 finance-weekly-outlook --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/finance-weekly-outlook .opencode/skills/finance-weekly-outlook && 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 "finance-weekly-outlook" agent skill from https://github.com/digoal/blog/tree/master/skills/skills_for_claude_web/finance-weekly-outlook into .opencode/skills/finance-weekly-outlook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "finance-weekly-outlook", 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
finance-weekly-outlook- GitHub stars
- 8.6k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 215 words
- Files
- 1
- Skills in repo
- 98
- Repo updated
- First seen
- Licence
- GPL-2.0
At a glance
基于 daily-finance 和 finance-core-analysis 的产出，综合搜索权威市场数据（量价、资金流、VIX、北向、期权持仓、机构配置等），运用三因子定价模型和预期差框架，生成未来一周中美股市看涨/看空行业和个股的深度预测报告，包含明确操盘建议（买卖点、分段持仓、行动指南）。触发条件：用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些…
- Works in 5 steps: ：宏观定仓（自上而下第一层） → ：中观定方向（行业筛选） → ：微观选股（三因子模型 + 预期差） → …
- SKILL.md covers 定位与概述, 核心原则, 输入处理 and Step 1：宏观定仓（自上而下第一层）, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Finance Weekly Outlook is an agent skill from digoal/blog. 基于 daily-finance 和 finance-core-analysis 的产出，综合搜索权威市场数据（量价、资金流、VIX、北向、期权持仓、机构配置等），运用三因子定价模型和预期差框架，生成未来一周中美股市看涨/看空行业和个股的深度预测报告，包含明确操盘建议（买卖点、分段持仓、行动指南）。触发条件：用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些股票值得关注"、"帮我选股"、"下周买什么"，或要求结合宏观与个股给出具体操盘建议时，必须使用本 skill。即使用户只说"帮我分析一下下周市场"或"有没有好的投资机会"，也应使用本 skill。这是 daily-finance → finance-core-analysis → finance-weekly-outlook 管线的第三步，也可以独立触发。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
Example prompts
- “下周行情预测”
- “下周看多看空”
- “哪些股票值得关注”
- “/finance-weekly-outlook”
Workflow steps
5 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 markdown).
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
Finance Weekly Outlook loads about 1.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 215 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). 215 words, ~1,274 tokens.
Download SKILL.mdSave it as
.claude/skills/finance-weekly-outlook/SKILL.md (or your agent's skills folder).- name
- finance-weekly-outlook
- description
- 基于 daily-finance 和 finance-core-analysis 的产出，综合搜索权威市场数据（量价、资金流、VIX、北向、期权持仓、机构配置等），运用三因子定价模型和预期差框架，生成未来一周中美股市看涨/看空行业和个股的深度预测报告，包含明确操盘建议（买卖点、分段持仓、行动指南）。触发条件：用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些股票值得关注"、"帮我选股"、"下周买什么"，或要求结合宏观与个股给出具体操盘建议时，必须使用本 skill。即使用户只说"帮我分析一下下周市场"或"有没有好的投资机会"，也应使用本 skill。这是 daily-finance → finance-core-analysis → finance-weekly-outlook 管线的第三步，也可以独立触发。
Finance Weekly Outlook
定位与概述
生成未来一周多空预测报告——覆盖美股和A股的行业与个股，附带明确操盘建议。
管线位置：
daily-finance → finance-core-analysis → finance-weekly-outlook（本 skill）可单独触发，也可读取前两步的产出作为输入。
核心原则
- 不能以个例以偏概全：所有观点必须有行业级/宏观级数据支撑，个股只是行业趋势的具体落脚点
- 必须有前提假设：每个多空判断必须写明前提假设；前提崩塌时，给出备选判断
- 预期差优先：不预测"是否是好消息"，而是预测"市场还没定价的部分有多大"
- 数据验证新闻：新闻是催化剂，量价/资金流/情绪指标才是确认信号
输入处理
优先读取（按优先级）：
markdown/finance-core-analysis-YYYY-MM-DD.mdmarkdown/daily-finance-YYYY-MM-DD.md- 用户在对话中提供的内容
- 如果都没有：直接通过搜索工具构建输入
Step 1：宏观定仓（自上而下第一层）
搜索并获取以下数据，判断下周整体风险偏好：
必须获取的宏观数据
| 数据类别 | 具体指标 | 作用 |
|---|---|---|
| 美股波动率 | VIX 指数当前值 + 5日趋势 | VIX<15=乐观,15-20=中性,>25=防守 |
| 美债 | 10年期美债收益率 + 2/10年利差 | 利率方向定成长/价值风格 |
| 美联储信号 | 最新 FOMC 纪要/官员讲话 | 流动性预期锚点 |
| 美元指数 | DXY 当前值 + 趋势 | 美元强弱影响大宗/新兴市场 |
| A股流动性 | 中国10年期国债收益率 + SHIBOR | 判断国内流动性松紧 |
| 北向资金 | 最近5日净流入/流出累计 | 外资态度信号 |
| A股融资余额 | 最新融资余额及环比变化 | 杠杆资金入场意愿 |
| 恐慌/情绪指标 | A股涨跌停比 + 主力资金净流入 | 短线情绪温度 |
判断输出（二选一 + 理由）：
- ✅ 偏进攻：风险偏好改善，流动性支撑，建议高仓位
- 🛡️ 偏防守：波动性上升或流动性收紧，建议低仓位控风险
Step 2：中观定方向（行业筛选）
筛选机制
分别针对美股和A股，完成以下筛选流程：
A. 行业动量扫描（搜索本周行业 ETF 表现）
- 筛出近一周相对 S&P500 / 沪深300 超额收益前5行业
- 重点关注：突破关键阻力位 + 放量的行业（真突破 vs 诱多）
B. 政策/催化剂筛查
- 搜索本周主要政策导向（央行、财政、监管、产业政策）
- 标记直接利好/利空哪些行业
C. 拥挤度排雷
- 查看主要公募基金最新季报行业配置比例（或近期机构调研热度）
- 过热赛道（机构超配+近期大幅上涨）列为风险提示，而非推荐
D. 输出：行业多空矩阵
| 行业 | 市场 | 方向 | 核心逻辑 | 前提假设 | 拥挤度 | 风险提示 |
|---|---|---|---|---|---|---|
| xxx | 美股/A股 | 看涨/看跌 | ... | ... | 低/中/高 | ... |
每个市场最多输出3个看涨行业 + 2个看跌行业，宁缺毋滥。
Step 3：微观选股（三因子模型 + 预期差）
三因子框架
对每只候选股票，评估：
本周价格变化预期 ≈ 盈利预期变化因子 + 估值/情绪因子 + 流动性溢价因子| 因子 | 权重场景 | 评估数据来源 |
|---|---|---|
| 盈利预期 | 财报季最高 | 分析师 EPS 修正方向、业绩预告、订单数据 |
| 估值/情绪 | 横盘震荡期主导 | PE/PB 历史分位、资金流、量价关系 |
| 流动性 | 政策转向时决定性 | SHIBOR、国债收益率、北向资金 |
预期差矩阵（每只股票必须判断象限）
| 象限 | 消息面 | 市场预期 | 预测方向 |
|---|---|---|---|
| A | 好消息 | 已充分定价 | ⚠️ 利好出尽，小心做多 |
| B | 好消息 | 未定价/低预期 | 🚀 催化剂，看涨 |
| C | 坏消息 | 未料到 | 💣 黑天鹅风险，看跌 |
| D | 坏消息 | 已充分消化 | 🔄 利空出尽，可能反转 |
个股筛选标准（必须同时满足）
- 行业方向支撑（Step 2 筛出的强势行业）
- 量价关系确认（放量突破 or 缩量回调企稳，非诱多形态）
- 预期差明确（能判断市场定价了多少）
- 有具体催化剂（财报、政策、订单、技术突破等）
- 北向/主力资金净流入（A股）或机构持仓增加（美股）
每个市场最多选2-3只个股，必须有具体代码和名称。
Step 4：撰写操盘建议（核心产出）
对每只个股，必须提供以下全部内容：
操盘建议模板
### [股票名称]（代码：XXXX | 市场：美股/A股）
**方向：** 看涨 🚀 / 看跌 📉 / 观察 👀
**核心逻辑（≤3条）：**
1. [逻辑1，附数据来源]
2. [逻辑2，附数据来源]
3. [逻辑3，附数据来源]
**前提假设：**
- 假设1：...（若假设崩塌 → 备选判断：...）
- 假设2：...（若假设崩塌 → 备选判断：...）
**预期差判断：** 象限B/A/C/D — [一句话解释]
**操盘建议：**
| 操作类型 | 具体建议 |
|---|---|
| **买入/加仓时机** | [具体触发条件，如：突破XX价格且量能放大，或回调至XX均线支撑企稳] |
| **买入区间** | [分段建仓：首仓 XX%-XX% 仓位在 XX 价附近；二仓在确认XX信号后加至XX%] |
| **止损位** | [明确价格或条件，如：跌破XX价（对应XX均线）则止损] |
| **目标价/止盈位** | [分段止盈：第一目标价 XX，减仓 XX%；第二目标价 XX，减仓至剩 XX%] |
| **持有还是卖出？** | [当前应做的动作：持有 / 轻仓试探 / 等待回调 / 全部卖出 / 减仓到XX%] |
| **观察跟踪指标** | [每天需要看的1-3个指标，如：北向资金流向、XX行业 PMI 数据、FOMC 纪要] |
| **行动指南** | [时间轴：如"本周一观察开盘量能，若放量突破则周二加仓，否则继续观察"] |
**风险提示：** [2-3条具体风险]Step 5：数据验证与文章校验
写完后，执行以下自我校验清单：
逻辑校验
- 每个多空判断都有行业级数据支撑，而非只靠单只股票表现
- 前提假设已列出，且有备选判断
- 预期差矩阵已为每只股票标注象限
- 操盘建议中的价格/仓位具体，不是"适时介入"等模糊表述
数据校验
- 所有数字有明确来源（来源标注到文末）
- 区分了【实】已确认数据 vs 【预】预期 vs 【估】分析师估计
- VIX、北向资金、融资余额等数据不超过3个交易日前
- 个股代码正确（A股6位数，美股字母）
内容校验
- 覆盖美股和A股（各至少1个行业，各至少1只个股）
- 看涨和看跌方向都有（不全部看涨或全部看跌）
- 图表/结构清晰，可作为公众号直接发布
输出格式
# 🔭 未来一周多空预测｜[日期区间]
> **执行摘要：** [2-3句话，本周最关键的宏观判断 + 整体仓位建议]
---
## 一、宏观定仓：[进攻/防守]
[VIX、美债、北向资金等关键数据总结 + 仓位建议]
---
## 二、行业多空矩阵
### 🚀 看涨行业
#### [行业1]（美股/A股）
[逻辑 + 数据 + 验证信号]
#### [行业2]（美股/A股）
...
### 📉 看跌行业
#### [行业A]（美股/A股）
[逻辑 + 数据 + 验证信号]
---
## 三、个股操盘建议
### 🚀 看涨个股
[每只股票使用 Step 4 的操盘建议模板]
### 📉 看跌/做空个股
[每只股票使用 Step 4 的操盘建议模板]
---
## 四、情景推演与证伪信号
| 情景 | 触发条件 | 对操盘建议的影响 |
|---|---|---|
| 基准情景（概率70%） | ... | ... |
| 备选情景（概率20%） | ... | ... |
| 尾部风险（概率10%） | ... | ... |
**证伪信号：** 如果以下任一出现，本报告判断整体失效：
- 信号1：...
- 信号2：...
---
## 五、关键跟踪日历
[本周需要关注的数据发布时间和事件，如财报、CPI、FOMC等]
---
## 数据来源
[所有来源，一行一条]
---
## ⚠️ 免责声明
本报告仅供参考，不构成任何投资建议。股市有风险，投资须谨慎。报告中所有操盘建议均基于特定假设和公开数据，实际市场走势可能与预测存在重大偏差。个人投资决策请结合自身风险承受能力，必要时咨询专业投资顾问。作者不对任何因参考本报告产生的投资损失承担责任。文件输出
保存至：
markdown/finance-weekly-outlook-YYYY-MM-DD.md（日期为报告生成日，区间在标题中标注）
- UTF-8 编码
markdown/目录不存在则创建- 写入失败则在对话中完整输出
写作风格
- 直接给结论，理由跟在结论后，而非铺垫后给结论
- 数据量化（"+X%", "¥XXX亿净流入"），禁止用"显著"、"大幅"等模糊词
- 操盘建议用表格，一眼可执行
- 行业级分析用文字+数据，个股用模板确保完整
- 严肃理性，不煽情，不贩卖焦虑
边界与限制
| 场景 | 处理方式 |
|---|---|
| 无法获取实时数据 | 标注【待验证】，说明数据缺口，给出条件性判断 |
| 个股无量价数据 | 不给操盘建议，仅给方向性参考 |
| 行业拥挤度数据不可用 | 通过近期行情涨幅和持仓集中度定性判断，并标注 |
| 前提假设崩塌 | 明确列出崩塌信号和备选判断，不强行维持原判 |
| 数据相互矛盾 | 优先一手数据（交易所、央行），标注矛盾，给出倾向性判断 |
© 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
Files
Just SKILL.md in skills/skills_for_claude_web/finance-weekly-outlook of digoal/blog.
Open the folder on GitHubat commit ad6fcb7
Compare with similar skills
Finance Weekly Outlook 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 |
|---|---|---|---|---|---|---|
| Finance Weekly Outlook this skilldigoal/blog | 8.6k | — | ~1.3k | Automated safety check: Pass | GPL-2.0 | |
| Dailysickn33/agentic-awesome-skills | 47k | 3 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Weekly Project Digeststhedotmack/claude-mem | 99k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Weekly Review PlanningNousResearch/hermes-agent | 252k | — | ~994 | Automated safety check: Pass | MIT | |
| Daily Giftsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT-0 | |
| Daily Outlook Triagemicrosoft/work-iq | 1k | — | ~1.8k | Automated safety check: Pass | Custom licence |
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Questions about Finance Weekly Outlook
What does Finance Weekly Outlook do?
基于 daily-finance 和 finance-core-analysis 的产出，综合搜索权威市场数据（量价、资金流、VIX、北向、期权持仓、机构配置等），运用三因子定价模型和预期差框架，生成未来一周中美股市看涨/看空行业和个股的深度预测报告，包含明确操盘建议（买卖点、分段持仓、行动指南）。触发条件：用户提到"下周行情预测"、"下周看多看空"、"下周操盘"、"周报"、"未来一周"、"哪些…. Finance Weekly Outlook is an agent skill from digoal/blog.
How do I install Finance Weekly Outlook in Claude Code?
Run `npx skills add digoal/blog --skill finance-weekly-outlook -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/finance-weekly-outlook in digoal/blog) into .claude/skills/finance-weekly-outlook in your project. Claude Code loads it when a task matches its description.
How do I install Finance Weekly Outlook in Codex?
Run `npx skills add digoal/blog --skill finance-weekly-outlook -a codex`. Or copy the skill folder (skills/skills_for_claude_web/finance-weekly-outlook in digoal/blog) into .agents/skills/finance-weekly-outlook in your project. Codex loads it when a task matches its description.
Can I use Finance Weekly Outlook 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 finance-weekly-outlook -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finance-weekly-outlook, .gemini/skills/finance-weekly-outlook, .github/skills/finance-weekly-outlook and .opencode/skills/finance-weekly-outlook in your project.
What does Finance Weekly Outlook need to run?
SKILL.md names no scripts, command-line tools or credentials: Finance Weekly Outlook is instructions for the agent only.
Does Finance Weekly Outlook 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 Finance Weekly Outlook 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 Finance Weekly Outlook use?
Finance Weekly Outlook 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 Finance Weekly Outlook use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Finance Weekly Outlook?
Skills that share tags, products or a category with Finance Weekly Outlook: Daily (sickn33/agentic-awesome-skills, 47k stars), Weekly Project Digests (thedotmack/claude-mem, 99k stars), Weekly Review Planning (NousResearch/hermes-agent, 252k stars) and Daily Gift (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Finance Weekly Outlook?
digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 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.