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Sif Keyword Tracker

Community
binggandata
sif-keyword-tracker

Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insights_tracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

Overview

Publisherbinggandata
Repositorybggg-skills
Skill namesif-keyword-tracker
Stars
605
Forks
95
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by binggandata on GitHub. Read the source before you install it.

Installation

Install the Sif Keyword Tracker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/binggandata/bggg-skills/tree/main/sif-keyword-tracker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/binggandata/bggg-skills.git /tmp/bggg-skills
mkdir -p .claude/skills
cp -r /tmp/bggg-skills/sif-keyword-tracker .claude/skills/sif-keyword-tracker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sif Keyword Tracker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sif Keyword Tracker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sif Keyword Tracker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sif 关键词动态跟踪(Skill 2)

通常由 Skill 1 Step 10 触发。单独运行时同样遵循 暂停点 ③(见 scout 的 amazon-expert-guide.md)。

对比基准选择(1~7 天窗口)

powershell
python "{scripts.check_history}" --asin {ASIN} --output-dir "{output_dir}" --curr-date {DATE}

返回 compare_prev_result_dir、compare_note、compare_days_apart。

规则说明
优先按原数据日期(文件夹 YYYYMMDD / 原始表后缀)在 1~7 天窗口内选上一期,如 20260610 → 20260611
同日多次仅当没有可比的异日数据时,才对比同日前一次运行(同日重跑)
超出窗口回退到紧邻上一次异日数据(报告会标注 warning)

注意:0611 是数据日期,不是「今天跑脚本的日子」。对比的是两期 Sif 导出数据,不是同日重复执行。

两轮流程(与 Skill 1 相同)

第一轮:对比 + stats

powershell
python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --skip-word

暂停点 ③(强制)

读取 {ASIN}_tracker_stats_{DATE}.json,向用户解读:

  • 新增 / 消失词(含 S 级变化)
  • SS 稳定词、搜索量与份额波动
  • 试投 / 暂停 / 观察 建议

用户确认后才写 insights_tracker.md(必须针对本次数据,勿用模板凑数)。

第二轮:生成 Word

powershell
python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --insights-file "{result_dir}/insights_tracker.md"

报告结构

  • 数据段(脚本):变化摘要、新增/消失清单(含 S 级)、SS 稳定词、搜索量/份额表
  • AI 段(Agent):策略解读、逐词建议、投放调整行动清单(须反映暂停点 ③ 与用户达成的共识)

产出

{result_dir}/{ASIN}_词库更新报告_{DATE}.docx

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sif Keyword Tracker AI skill do?

Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insights_tracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

Why use Sif Keyword Tracker on TypingMind?

Because you install it once and use it with any model. Sif Keyword Tracker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sif Keyword Tracker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/binggandata/bggg-skills/tree/main/sif-keyword-tracker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sif Keyword Tracker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sif Keyword Tracker?

As many as you like. As long as a model supports skills, you can use Sif Keyword Tracker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sif Keyword Tracker AI skill free?

Yes. It is published on GitHub by binggandata under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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