Cohort Analysis
guia-matthieu/clawfu-skills
Analyze user retention by cohort. An agent skill from guia-matthieu/clawfu-skills.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
Install Retention Analysis
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main retention-analysis --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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/retention-analysis .claude/skills/retention-analysis && 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 "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .claude/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysisType 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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main retention-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/retention-analysis .agents/skills/retention-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .agents/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main retention-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/retention-analysis .cursor/skills/retention-analysis && 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 "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .cursor/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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/liangdabiao/claude-data-analysis-ultra-main.git --path .claude/skills/retention-analysis--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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main retention-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/retention-analysis .gemini/skills/retention-analysis && 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 "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .gemini/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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 liangdabiao/claude-data-analysis-ultra-main retention-analysisInstalls 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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/retention-analysis .github/skills/retention-analysis && 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 "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .github/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main retention-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/retention-analysis .opencode/skills/retention-analysis && 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 "retention-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/retention-analysis into .opencode/skills/retention-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "retention-analysis", 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
retention-analysis- GitHub stars
- 290
- Token cost
- ~1.3k tokens
- SKILL.md length
- 488 words
- Files
- 13 (incl. scripts)
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
- Works in 3 steps: Data Preparation → Analysis Process → Output Deliverables
- Working with user subscription data
- SKILL.md covers Quick Start, When to Use, Key Requirements and Core Workflow, plus 6 more sections
- Runs Python scripts from its folder; calls pip
What it does
Retention Analysis is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts (for example `README.md`, `examples/basic_retention.py` and `examples/sample_data/README.md`).
It sits in Data & Analytics, covering Product analytics, Machine learning and Customer success. The repository describes itself as: 让小白都可以一键进行数据分析，搞互联网的，搞电商的，搞各种各样的，那么其实就会用到 互联网的数据分析， 例如互联网会关心 拉新，留存，促活，推荐，转化，A/B test, 用户分析 等等很多有用的数据分析。
When your agent uses it
- Working with user subscription data
- Membership information
- User mentions retention
- Survival analysis
Example prompts
- “/retention-analysis”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Grep, Glob
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Data Preparation
- Analysis Process
- Output Deliverables
What it can do on your machine
Read from SKILL.md and the folder at commit 6b52856. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashGrepGlob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Retention Analysis loads about 1.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 488 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Write, Edit, Bash, Grep, Glob
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 488 words (~1,311 tokens).
“Analyze user retention patterns, predict customer churn, and optimize retention strategies using advanced statistical methods and machine learning techniques.”
- name
- retention-analysis
- allowed-tools
- Read, Write, Edit, Bash, Grep, Glob
Files
SKILL.md and 12 other files (scripts) in .claude/skills/retention-analysis of liangdabiao/claude-data-analysis-ultra-main.
- SKILL.md
- README.md
- examples/basic_retention.py
- examples/churn_prediction_results.png
- examples/comprehensive_retention_report.html
- examples/cox_coefficients.png
- examples/sample_data/README.md
- examples/survival_analysis_report.html
- examples/survival_by_subscription.png
- examples/survival_curve.png
- scripts/retention_analyzer.py
- scripts/survival_analyzer.py
- scripts/visualizer.py
Open the folder on GitHubat commit 6b52856
Compare with similar skills
Retention Analysis 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 |
|---|---|---|---|---|---|---|
| Retention Analysis this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~1.3k | Automated safety check: Notes | None | |
| Cohort Analysisguia-matthieu/clawfu-skills | 150 | — | ~864 | Automated safety check: Pass | MIT | |
| Product Adoptionmagnus919/agent-skills | 116 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| PostHog CLI Queriesdebugtheworldbot/keyStats | 1.5k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Retentioneering Contributingretentioneering/retentioneering-tools | 925 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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PostHog CLI Queries
debugtheworldbot/keyStats
Runs HogQL queries against this project's PostHog data from the terminal using posthog-cli, with bundled scripts for dashboard metadata the CLI itself has no command for.
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Related
Categories
Questions about Retention Analysis
What does Retention Analysis do?
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Retention Analysis is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
When should I use Retention Analysis?
Retention Analysis fits situations like: working with user subscription data; membership information; user mentions retention; survival analysis.
How do I install Retention Analysis in Claude Code?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a claude-code`. Or copy the skill folder (.claude/skills/retention-analysis in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/retention-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Retention Analysis in Codex?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a codex`. Or copy the skill folder (.claude/skills/retention-analysis in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/retention-analysis in your project. Codex loads it when a task matches its description.
Can I use Retention Analysis 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 liangdabiao/claude-data-analysis-ultra-main --skill retention-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retention-analysis, .gemini/skills/retention-analysis, .github/skills/retention-analysis and .opencode/skills/retention-analysis in your project.
What does Retention Analysis need to run?
Going by SKILL.md and its folder, Retention Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob.
Does Retention Analysis access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Retention Analysis safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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 Retention Analysis use?
No licence was found for Retention Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Retention Analysis use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Retention Analysis?
Skills that share tags, products or a category with Retention Analysis: Cohort Analysis (guia-matthieu/clawfu-skills, 150 stars), Product Adoption (magnus919/agent-skills, 116 stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and PostHog CLI Queries (debugtheworldbot/keyStats, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Retention Analysis?
liangdabiao (a GitHub user) maintains it in liangdabiao/claude-data-analysis-ultra-main, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 10, 2026.
Source: liangdabiao/claude-data-analysis-ultra-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.