Algo Social Sentiment
asgard-ai-platform/skills
Implement VADER sentiment analysis for social media text scoring.
Analyze text content using both traditional NLP and LLM-enhanced methods.
Install Content Analysis
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill content-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main content-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/content-analysis .claude/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .claude/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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/content-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 content-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main content-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/content-analysis .agents/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .agents/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 content-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main content-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/content-analysis .cursor/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .cursor/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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/content-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 content-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main content-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/content-analysis .gemini/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .gemini/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 content-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 content-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/content-analysis .github/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .github/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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 content-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 content-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/content-analysis .opencode/skills/content-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 "content-analysis" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/content-analysis into .opencode/skills/content-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-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
content-analysis- GitHub stars
- 290
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 621 words
- Files
- 13
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze text content using both traditional NLP and LLM-enhanced methods.
- Works in 3 steps: Data Preparation → Analysis Process → Output Deliverables
- Working with text analysis
- SKILL.md covers Quick Start, When to Use, Key Requirements and Core Workflow, plus 9 more sections
- Runs Python scripts from its folder; calls pip
What it does
Content Analysis is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files (for example `README.md`, `examples/basic_content_analysis.py` and `examples/content_visualizer.py`).
It sits in Writing & Content, covering Natural language processing, Social media posts and Customer feedback analysis. 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 text analysis
- Sentiment detection
- Content optimization
Example prompts
- “/content-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 script files (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
Content Analysis loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 621 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 621 words (~1,674 tokens).
“Analyze text content using advanced NLP techniques and LLM-powered insights to extract sentiment, topics, and actionable intelligence from various content sources.”
- name
- content-analysis
- allowed-tools
- Read, Write, Edit, Bash, Grep, Glob
Files
SKILL.md and 12 other files in .claude/skills/content-analysis of liangdabiao/claude-data-analysis-ultra-main.
- SKILL.md
- README.md
- examples/basic_content_analysis.py
- examples/content_visualizer.py
- examples/llm_analyzer.py
- examples/sample_data/sample_reviews.csv
- examples/sample_data/sample_social_media.json
- examples/sentiment_analyzer.py
- examples/text_analyzer.py
- examples/topic_analyzer.py
- guide/content_analysis_guide.md
- templates/content_analysis_report_template.md
- test_skill.py
Open the folder on GitHubat commit 6b52856
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in liangdabiao/claude-data-analysis-ultra-main, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Content 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 |
|---|---|---|---|---|---|---|
| Content Analysis this skillliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.7k | Automated safety check: Notes | None | |
| Algo Social Sentimentasgard-ai-platform/skills | 241 | — | ~995 | Automated safety check: Pass | MIT | |
| Content Creatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Content Creatorthatrebeccarae/claude-marketing | 162 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Natural Languagedpearson2699/swift-ios-skills | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | Custom licence | |
| Persian Writingali2000hos/persian-writing | 361 | — | ~4.4k | Automated safety check: Warn | MIT |
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Related
Questions about Content Analysis
What does Content Analysis do?
Analyze text content using both traditional NLP and LLM-enhanced methods. Content Analysis is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Analyze text content using both traditional NLP and LLM-enhanced methods.
When should I use Content Analysis?
Content Analysis fits situations like: working with text analysis; sentiment detection; content optimization.
How do I install Content Analysis in Claude Code?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill content-analysis -a claude-code`. Or copy the skill folder (.claude/skills/content-analysis in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/content-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Content Analysis in Codex?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill content-analysis -a codex`. Or copy the skill folder (.claude/skills/content-analysis in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/content-analysis in your project. Codex loads it when a task matches its description.
Can I use Content 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 content-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/content-analysis, .gemini/skills/content-analysis, .github/skills/content-analysis and .opencode/skills/content-analysis in your project.
What does Content Analysis need to run?
Going by SKILL.md and its folder, Content 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 Content 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 Content 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. Review the folder before installing.
What licence does Content Analysis use?
No licence was found for Content Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Content Analysis use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Content Analysis?
Skills that share tags, products or a category with Content Analysis: Algo Social Sentiment (asgard-ai-platform/skills, 241 stars), Content Creator (sickn33/agentic-awesome-skills, 47k stars), Content Creator (thatrebeccarae/claude-marketing, 162 stars) and Natural Language (dpearson2699/swift-ios-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content 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.