Agent skill
by liangdabiao in liangdabiao/claude-data-analysis-ultra-main
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill attribution-analysis-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main attribution-analysis-modeling --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/attribution-analysis-modeling .claude/skills/attribution-analysis-modeling && 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 "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .claude/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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/attribution-analysis-modelingType 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 attribution-analysis-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main attribution-analysis-modeling --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/attribution-analysis-modeling .agents/skills/attribution-analysis-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .agents/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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 attribution-analysis-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main attribution-analysis-modeling --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/attribution-analysis-modeling .cursor/skills/attribution-analysis-modeling && 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 "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .cursor/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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/attribution-analysis-modeling--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 attribution-analysis-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main attribution-analysis-modeling --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/attribution-analysis-modeling .gemini/skills/attribution-analysis-modeling && 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 "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .gemini/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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 attribution-analysis-modelingInstalls 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 attribution-analysis-modeling -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/attribution-analysis-modeling .github/skills/attribution-analysis-modeling && 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 "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .github/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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 attribution-analysis-modeling -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 attribution-analysis-modeling --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/attribution-analysis-modeling .opencode/skills/attribution-analysis-modeling && 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 "attribution-analysis-modeling" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/attribution-analysis-modeling into .opencode/skills/attribution-analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attribution-analysis-modeling", 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.
attribution-analysis-modelingPerform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
Attribution Analysis Modeling is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files (for example `README.md`, `examples/advanced_attribution_example.py` and `examples/attribution_visualizer.py`).
It sits in Product & Project Management, covering Customer journey mapping and Marketing analytics. 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。
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6b52856. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashGlobFrom allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Attribution Analysis Modeling loads about 2.3k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 848 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Bash, GlobAutomated 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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 848 words (~2,280 tokens).
“A comprehensive attribution analysis skill that evaluates marketing channel effectiveness using advanced statistical models, helping optimize marketing spend and understand customer journey patterns.”
SKILL.md and 13 other files in .claude/skills/attribution-analysis-modeling of liangdabiao/claude-data-analysis-ultra-main.
Open the folder on GitHubat commit 6b52856
Attribution Analysis Modeling 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 |
|---|---|---|---|---|---|---|
| Attribution Analysis Modeling this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~2.3k | Automated safety check: Notes | None | |
| Launch Retro Analyzeraaron-he-zhu/aaron-marketing-skills | 2.9k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Memstack Marketing Sales Funnelcwinvestments/memstack | 423 | — | ~2.7k | Automated safety check: Pass | Proprietary | |
| Strategizeghaida/intent | 206 | — | ~6.1k | Automated safety check: Pass | CC0-1.0 | |
| Funnel Analyzerguia-matthieu/clawfu-skills | 150 | — | ~387 | Automated safety check: Pass | MIT | |
| User Story Mappingdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.8k | Automated safety check: Pass | Custom licence |
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "run a launch retro / post-mortem", "compare launch results vs targets by channel", or "decide what to keep or kill for the next launch"; produces a…
cwinvestments/memstack
A skill your agent uses when the user says 'sales funnel', 'funnel', 'conversion funnel', 'customer journey', or wants to map the complete customer journey from stranger to repeat buyer with copy…
ghaida/intent
Frames product design problems before solutions exist. An agent skill from ghaida/intent.
guia-matthieu/clawfu-skills
Analyze conversion funnels and identify drop-offs. An agent skill from guia-matthieu/clawfu-skills.
deanpeters/Product-Manager-Skills
Lays out a user journey as activities, steps, and tasks on a two-dimensional map that then informs backlog slicing.
fastrepl/anarlog
QA Anarlog's critical Pro user journey on a signed staging candidate — onboarding, responsive launch, microphone and system-audio capture, automated summaries, and cloud sync.
liangdabiao/claude-data-analysis-ultra-main
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
liangdabiao/claude-data-analysis-ultra-main
Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.
liangdabiao/claude-data-analysis-ultra-main
Analyze text content using both traditional NLP and LLM-enhanced methods.
liangdabiao/claude-data-analysis-ultra-main
Performs exploratory data analysis, statistical analysis, and pattern discovery.
liangdabiao/claude-data-analysis-ultra-main
Generates testable research hypotheses and experimental designs.
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Attribution Analysis Modeling is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.
Attribution Analysis Modeling fits situations like: you need to analyze marketing channel effectiveness; calculate conversion attribution; optimize marketing budgets; understand customer journey paths.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill attribution-analysis-modeling -a claude-code`. Or copy the skill folder (.claude/skills/attribution-analysis-modeling in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/attribution-analysis-modeling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill attribution-analysis-modeling -a codex`. Or copy the skill folder (.claude/skills/attribution-analysis-modeling in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/attribution-analysis-modeling in your project. Codex loads it when a task matches its description.
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 attribution-analysis-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/attribution-analysis-modeling, .gemini/skills/attribution-analysis-modeling, .github/skills/attribution-analysis-modeling and .opencode/skills/attribution-analysis-modeling in your project.
Going by SKILL.md and its folder, Attribution Analysis Modeling needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob.
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.
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. Review the folder before installing.
No licence was found for Attribution Analysis Modeling or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Attribution Analysis Modeling: Launch Retro Analyzer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Memstack Marketing Sales Funnel (cwinvestments/memstack, 423 stars), Strategize (ghaida/intent, 206 stars) and Funnel Analyzer (guia-matthieu/clawfu-skills, 150 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.
