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Import Skills

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cablate cablate
from GitHub Testing & Security
  • 📄 SKILL.md
banini-tracker cablate npx

banini-tracker

巴逆逆反指標分析。觸發時機：使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時。 能力範圍：透過 CLI 抓取 Facebook 貼文、反指標邏輯分析、連鎖效應推導、Telegram 推送。 目標：由 Claude 作為分析引擎，產出直白中文的反指標分析報告。 --- # banini-tracker — 巴逆逆反指標分析 追蹤「股海冥燈」巴逆逆（8zz）的 Facebook 貼文，由你（Claude）進行反指標分析，推送結果到 Telegram。 ## 前置條件 ```bash # 首次使用：初始化設定 npx @cablate/banini-tracker init --apify-token <TOKEN> --tg-bot-token <TOKEN> --tg-channel-id <ID> # 確認設定 npx @cablate/banini-tracker config ``` ## 工作流程 ### Step 1：抓取貼文 ```bash npx @cablate/banini-tracker fetch -s fb -n 3 --mark-seen ``` 輸出是 JSON 陣列，每篇貼文包含： - `id` / `source` - `text`（貼文內容） - `ocrText`（圖片 OCR 文字，可能包含下單截圖） - `timestamp` / `url` / `likeCount` - `mediaType` / `mediaUrl` `--mark-seen` 會自動記錄已讀，下次不重複抓。 ### Step 2：你來分析 讀取 Step 1 的 JSON 後，進行反指標分析。分析要點： **核心邏輯**（方向完全相反，不要搞混）： | 她的狀態 | 反指標解讀 | |---------|-----------| | 買入/加碼 | 該標的可能下跌 | | 被套（還沒賣） | 可能繼續跌（她還沒認輸） | | 停損/賣出 | 可能反彈上漲（她認輸 = 底部訊號） | | 看多/喊買 | 該標的可能下跌 | | 看空/喊賣 | 該標的可能上漲 | **分析原則**： - 只根據貼文明確提到的操作判斷，不要腦補 - 停損 = 她之前買了（做多），現在賣掉認賠。不是「放空」 - 標的用正式名稱（信驊、鈦昇），不用她的暱稱（王、渣男） - 當天貼文最重要，注意時序（她的想法可能幾小時內改變） - 語氣越篤定/興奮 → 反指標信號越強 - 善用 WebSearch 查詢標的最新走勢，豐富分析 **連鎖效應推導**： - 她買油正二被套 → 油價可能繼續跌 → 原物料成本降 → 製造業利多 - 她停損鈦昇 → 鈦昇可能反彈 → IC 設計族群連動上漲 - 她停損賣出油正二 → 油價可能反彈 → 通膨壓力回來 ### Step 3：推送 Telegram 將分析結果寫入暫存檔再推送（多行訊息用 `-m` 會被 shell 截斷，務必用 `-f`）： ```bash # 寫入暫存檔後推送（推薦） npx @cablate/banini-tracker push -f /tmp/report.txt # 短訊息可用 -m npx @cablate/banini-tracker push -m "短訊息" # 純文字（不解析 HTML） npx @cablate/banini-tracker push -f /tmp/report.txt --parse-mode none ``` ## 其他指令 ```bash # 去重管理 npx @cablate/banini-tracker seen list # 列出所有已讀 ID npx @cablate/banini-tracker seen mark <id...> # 手動標記已讀 npx @cablate/banini-tracker seen clear # 清空已讀紀錄 # 查看/修改設定 npx @cablate/banini-tracker config # 顯示設定（token 遮蔽） # 手動編輯: ~/.banini-tracker.json ``` ## 費用參考 Facebook 每次抓取約 $0.02（Apify CU 計費）。 ## 報告格式建議 推送到 Telegram 時建議用以下 HTML 格式。注意： - 每篇貼文附上原文連結（從 fetch 的 `url` 欄位取得） - `<` `>` `&` 必須轉義（`&lt;` `&gt;` `&amp;`），避免 HTML 解析錯誤 - 多行內容務必寫入檔案後用 `-f` 推送 ``` <b>巴逆逆反指標速

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Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up