Culture Retention
sickn33/agentic-awesome-skills
Employee survey and retention register: engagement, growth, happiness, work-life balance and manager-relationship scores, key concern and retention risk.
用户留存率计算，计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃的比例。触发条件：需计算用户留存率时触发，如观测次日留存率、观测第七日留存率等。
Apache-2.0Auto-check passed
Install Bi Retention Rate
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-retention-rate --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/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .claude/skills/bi-retention-rate && 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 "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .claude/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rateType 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 agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-retention-rate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .agents/skills/bi-retention-rate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .agents/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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 agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-retention-rate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .cursor/skills/bi-retention-rate && 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 "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .cursor/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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/agentscope-ai/QwenPaw-Data.git --path packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate--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 agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-retention-rate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .gemini/skills/bi-retention-rate && 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 "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .gemini/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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 agentscope-ai/QwenPaw-Data bi-retention-rateInstalls 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 agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .github/skills/bi-retention-rate && 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 "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .github/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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 agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-retention-rate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate .opencode/skills/bi-retention-rate && 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 "bi-retention-rate" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate into .opencode/skills/bi-retention-rate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-retention-rate", 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
bi-retention-rate- GitHub stars
- 127
- Token cost
- ~342 tokens
- SKILL.md length
- 68 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
用户留存率计算，计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃的比例。触发条件：需计算用户留存率时触发，如观测次日留存率、观测第七日留存率等。
- Works in 2 steps: ：检查数据以及确定计算指标 → ：执行留存率计算
- 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 Retention Rate is an agent skill from agentscope-ai/QwenPaw-Data. 用户留存率计算，计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃的比例。触发条件：需计算用户留存率时触发，如观测次日留存率、观测第七日留存率等。
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_retention.py`).
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.
Example prompts
- “/bi-retention-rate”
Requirements
- Python 3
Workflow steps
2 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 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 Retention Rate loads about 342 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 68 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); 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). 68 words, ~342 tokens.
Download SKILL.mdSave it as
.claude/skills/bi-retention-rate/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- bi-retention-rate
- description
- 用户留存率计算，计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃的比例。触发条件：需计算用户留存率时触发，如观测次日留存率、观测第七日留存率等。
bi-retention-rate
计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃概率。
执行步骤
Step 0：检查数据以及确定计算指标
- 留存率计算涉及的指标以及数据列已经明确，如次日留存率计算考虑当日用户数与次日用户数，第七日留存率考虑当日留存用户数与第七日留存用户数；
- 数据已经保存为 CSV 文件，且包含留存率计算所需关键数据，如当日用户数、次日用户数等。如
date,当日访问用户数,次日访问用户数
2025-01-01,10000,3000
2025-01-02,10500,1000
2025-01-03,9800,100Step 1：执行留存率计算
使用 <skill-dir>/scripts/compute_retention.py 脚本，计算用户在后续第 n 天的留存率（计算结果保留小数点后 5 位）。
python <skill-dir>/scripts/compute_retention.py --input_file "<输入数据文件路径 (CSV)>" --metric_name "<指标名称>" --day0_col "<第 0 天用户数列名>" --dayn_col "<第 n 天用户数列名>"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（如次日留存率、第七日留存率等） | 留存率 |
| --day0_col | 第 0 天用户数列名 | (必填) |
| --dayn_col | 第 n 天用户数列名 | (必填) |
对于所有需要计算的留存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步骤手动计算：
- 给定留存率计算所需的初始时间点 day0 以及 n 日后的留存率计算时间点 dayn
- 计算 n 日留存率（保留小数点后 5 位）： $\frac{|{用户 \mid day0新增用户\wedge 用户在dayn活跃 }|}{|{用户 \mid day0新增用户 }|}$
输出要求
输出所有需要计算的留存率指标结果，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-retention-rate of agentscope-ai/QwenPaw-Data.
- SKILL.md
- scripts/compute_retention.py
Open the folder on GitHubat commit e0bae36
Compare with similar skills
Bi Retention 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bi Retention Rate this skillagentscope-ai/QwenPaw-Data | 127 | — | ~342 | Automated safety check: Pass | Apache-2.0 | |
| Culture Retentionsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Retently AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~734 | Automated safety check: Pass | None | |
| Web3 Rate Limiting Circuit Breakersickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Performing API Rate Limiting Bypassmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Implementing API Abuse Detection With Rate Limitingmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 |
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Questions about Bi Retention Rate
What does Bi Retention Rate do?
用户留存率计算，计算用户首次进入产品或首次完成关键行为后，后续回访或持续活跃的比例。触发条件：需计算用户留存率时触发，如观测次日留存率、观测第七日留存率等。. Bi Retention Rate is an agent skill from agentscope-ai/QwenPaw-Data.
How do I install Bi Retention Rate in Claude Code?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-retention-rate in your project. Claude Code loads it when a task matches its description.
How do I install Bi Retention Rate in Codex?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-retention-rate -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-retention-rate in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-retention-rate in your project. Codex loads it when a task matches its description.
Can I use Bi Retention 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-retention-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-retention-rate, .gemini/skills/bi-retention-rate, .github/skills/bi-retention-rate and .opencode/skills/bi-retention-rate in your project.
What does Bi Retention Rate need to run?
Going by SKILL.md and its folder, Bi Retention 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 Retention 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 Retention 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 Retention Rate use?
Bi Retention 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 Retention Rate use?
About 342 tokens (SKILL.md is roughly 1.4k 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 Retention Rate?
Skills that share tags, products or a category with Bi Retention Rate: Culture Retention (sickn33/agentic-awesome-skills, 47k stars), Retently Automation (ComposioHQ/awesome-claude-skills, 77k stars), Web3 Rate Limiting Circuit Breaker (sickn33/agentic-awesome-skills, 47k stars) and Performing API Rate Limiting Bypass (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bi Retention Rate?
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 127 GitHub stars. The repository holds 29 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.