Agent skill

Bi Conversion Rate

by agentscope-ai in agentscope-ai/QwenPaw-Data

从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发. An agent skill from agentscope-ai/QwenPaw-Data.

Apache-2.0Auto-check passedMarketing & SEO

Install Bi Conversion Rate

skills CLI
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-conversion-rate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentscope-ai/QwenPaw-Data bi-conversion-rate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-conversion-rate .claude/skills/bi-conversion-rate && rm -rf skills-src

Use ~/.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/

Facts

Skill name
bi-conversion-rate
GitHub stars
113
Token cost
~335 tokens
SKILL.md length
57 words
Files
2 (incl. scripts)
Skills in repo
26
Repo updated
First seen
Licence
Apache-2.0

At a glance

从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发. An agent skill from agentscope-ai/QwenPaw-Data.

  • Works in 2 steps: 检查数据以及确定计算指标 → 执行转化率计算
  • Tasks that involve Conversion rate optimization
  • SKILL.md covers 执行步骤, fallback (指引模式) and 输出要求
  • Runs Python scripts from its folder; calls python

What it does

Bi Conversion Rate is an agent skill from agentscope-ai/QwenPaw-Data. 从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发。

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/compute_conversion.py`).

It sits in Marketing & SEO, covering Conversion rate optimization. The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Conversion rate optimization

Example prompts

  • “/bi-conversion-rate”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. 检查数据以及确定计算指标
  2. 执行转化率计算

What it can do on your machine

Read from SKILL.md and the folder at commit e0bae36. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Bi Conversion Rate loads about 335 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 57 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~335

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); the scripts in this folder are not scanned.

SKILL.md

The full file from agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 57 words, ~335 tokens.

Download SKILL.mdSave it as .claude/skills/bi-conversion-rate/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
bi-conversion-rate
description
从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发。

bi-conversion-rate

计算用户从接触目标行为(起始阶段)到完成目标行为(结束阶段)的转化率。

执行步骤

Step 0: 检查数据以及确定计算指标
  1. 转化率计算涉及的指标以及数据范围(初始状态数据以及目标状态数据)已经明确,如指标明确为“对话转化率”,转化率计算需“访问用户数”与“对话用户数”;
  2. 数据已经保存为 CSV 文件,且包含转化率计算所需关键数据,如上述的“访问用户数”与“对话用户数”。如
csv
date,访问用户数,对话用户数
2025-01-01,10000,3000
2025-01-02,10500,1000
2025-01-03,9800,100
Step 1: 执行转化率计算

使用 <skill-dir>/scripts/compute_conversion.py 脚本,计算用户从某初始状态到目标状态的转化率(计算结果保留小数点后 5 位)。

bash
python <skill-dir>/scripts/compute_retention.py --input_file "<输入数据文件路径 (CSV)>" --metric_name "<转化率名称>" --begin_col "<初始行为状态的对象列名>" --end_col "<目标/结束行为状态的对象列名>"

参数说明:

参数说明默认值
--input_file输入数据文件路径 (.csv)(必填)
--metric_name计算指标名称(如对话转化率等)转化率
--begin_col初始行为状态的对象列名(必填)
--end_col目标/结束行为状态的对象列名(必填)

对于所有需要计算的转化率指标都需调用该脚本计算,不能遗失任何必要的指标计算。

fallback (指引模式)

无脚本环境时按以下计算公式手动计算转化率:

$$ \text{转换率}=\frac{\text{User at the final stage}}{\text{User at the beginning stage}} $$

  • 分母:起始阶段用户数(接触过目标行为或进入漏斗起点)
  • 分子:结束阶段用户数(完成目标行为)
  • 口径须与业务一致(例如结束阶段用户是否为起始阶段的子集、是否去重同一用户)

输出要求

输出所有需要计算的转化率指标结果,不要遗失任何计算结果,包括 NaN 值。

© agentscope-ai, Apache-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

SKILL.md and 1 other file (scripts) in packages/qwenpaw-data-skills/skills/atomic/bi-conversion-rate of agentscope-ai/QwenPaw-Data.

  • SKILL.md
  • scripts/compute_conversion.py

Open the folder on GitHubat commit e0bae36

Compare with similar skills

Bi Conversion Rate 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.

Bi Conversion Rate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bi Conversion Rate this skillagentscope-ai/QwenPaw-Data113—~335Automated safety check: PassApache-2.0
FLOW SEO FrameworkAgriciDaniel/claude-seo18k2 repos~1.4kAutomated safety check: PassMIT
Paywallscoreyhaines31/marketingskills54k1 repos~1.4kAutomated safety check: PassMIT
Onboarding Crofreekmurze/dotfiles1k16 repos~1.6kAutomated safety check: PassNone
Google Analyticsthatrebeccarae/claude-marketing1624 repos~1.3kAutomated safety check: NotesMIT
Paywall Upgrade Crofreekmurze/dotfiles1k15 repos~1.4kAutomated safety check: PassNone

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Categories

Questions about Bi Conversion Rate

What does Bi Conversion Rate do?

从接触目标行为到完成目标行为的转化率计算。触发条件:需计算转化率时触发,如对话包含“转化率”、“转化情况”等词时触发. An agent skill from agentscope-ai/QwenPaw-Data. Bi Conversion Rate is an agent skill from agentscope-ai/QwenPaw-Data.

When should I use Bi Conversion Rate?

Bi Conversion Rate fits situations like: tasks that involve Conversion rate optimization.

How do I install Bi Conversion Rate in Claude Code?

Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-conversion-rate -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-conversion-rate in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-conversion-rate in your project. Claude Code loads it when a task matches its description.

How do I install Bi Conversion Rate in Codex?

Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-conversion-rate -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-conversion-rate in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-conversion-rate in your project. Codex loads it when a task matches its description.

Can I use Bi Conversion Rate 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 agentscope-ai/QwenPaw-Data --skill bi-conversion-rate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-conversion-rate, .gemini/skills/bi-conversion-rate, .github/skills/bi-conversion-rate and .opencode/skills/bi-conversion-rate in your project.

What does Bi Conversion Rate need to run?

Going by SKILL.md and its folder, Bi Conversion Rate needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Bi Conversion Rate 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 Bi Conversion Rate 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Bi Conversion Rate use?

Bi Conversion Rate is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bi Conversion Rate use?

About 335 tokens (SKILL.md is roughly 1.3k 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 Bi Conversion Rate?

Skills that share tags, products or a category with Bi Conversion Rate: FLOW SEO Framework (AgriciDaniel/claude-seo, 18k stars), Paywalls (coreyhaines31/marketingskills, 54k stars), Onboarding Cro (freekmurze/dotfiles, 1k stars) and Google Analytics (thatrebeccarae/claude-marketing, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bi Conversion Rate?

agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 113 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 5, 2026.

Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.