Text Corpus Analysis
Skills for analyzing large text corpora — topic modeling (BERTopic with temporal evolution), NER, categorization into fixed taxonomies, bottom-up category derivation, multi-level…
Plugin bundle · by danielrosehill
About
Text Corpus Analysis is a plugin bundle for AI coding tools published by danielrosehill. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-15 and have recorded no change since. As of our marketplace pass on 2026-10-15.
Skills for analyzing large text corpora — topic modeling (BERTopic with temporal evolution), NER, categorization into fixed taxonomies, bottom-up category derivation, multi-level taxonomy design, word frequency, synonym clustering for voice-note/STT corpora, parametric stats, and metadata↔content correlation. Three execution lanes (classical NLP, local LLM via Ollama, cloud LLM via OpenRouter) with explicit cost-awareness: mandatory pre-run estimates for >1k-doc LLM passes, two-pass cheap→premium pattern, embeddings+clustering preferred over pairwise LLM comparison.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add danielrosehill/claude-code-plugins
/plugin install text-corpus-analysis@danielrosehill
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace danielrosehill/claude-code-plugins (Open the source on GitHub) | Listed | 0.1.0 | Forks (GitHub): 0 Stars (GitHub): 2 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| danielrosehill | danielrosehill/claude-code-plugins | 31 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 14
categorize-corpuschoose-approachcorrelation-analysisdefine-taxonomyner-extractionparametric-analysisrecommend-toolssetup-local-llmsetup-openroutersuggest-categoriessynonym-clustertopic-analysis
Show the remaining 2
trend-analysisword-frequency
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Classify batches of text into your labels, tag multiple topics, count categories and review uncertain results. Public access needs no API key.
-
Score sentiment toward specific entities in text. Cluster documents and name topics.
-
Text Intelligence delivers robust NLP capabilities without the hassle of authentication or
-
Decompose text into classified semantic units. Authority, risk, attention. No LLM.
-
Classify text into categories with confidence, readability, content type. x402.
-
Sentiment, language detection, readability, keywords, summaries and profanity filtering
-
Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract
Run one LLM instruction over every row to classify, extract or summarise into new columns.
-
Scientific content analysis for academic research. Supports the full workflow from research question to publication-ready output: codebook development, qualitative and…
-
Find AI-isms with evidence and fingerprint a writing voice from samples. 3 of 5 free.
-
Extract and document writing styles from source texts into reusable style guides. Use when analyzing an author's voice, creating a style guide from a book or document, capturing…
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Scientific content analysis for academic research. Supports the full workflow from research question to publication-ready output: codebook development, qualitative and…
-
LlamaCloud document operations for Claude Code: parse, extract, classify, and split documents with LlamaIndex's hosted services, all from one plugin. Four lazy-loaded skills, each…
-
Local-first knowledge vaults for project docs and specs. Tagged, versioned, full-text searchable.
-
Edits any draft to remove the words, phrases, and structures that mark writing as AI output. Strips banned words like delve, unlock, leverage, robust, harness, and showcase (plus…
-
Optimize your CLAUDE.md hierarchy — deduplicate content, detect misplacement, compress bloat, and visualize token usage across global/project/repo levels.
Has a listing on Claude Code: claude-plugins-official (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
Has a listing on Claude: knowledge-work-plugins (5)
-
Discover your brand voice from existing documents and conversations, generate enforceable guidelines, and validate AI-generated content against your established tone and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
Connect sources and search processed documents with Unstructured Foundation. Provides MCP access to source setup, processing status, document search, and document retrieval.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Analyze Mixpanel data with the mixpanel_headless Python SDK and Codex skills.
Has a listing on Community GitHub marketplaces (5)
-
Classify batches of text into your labels, tag multiple topics, count categories and review uncertain results. Public access needs no API key.
-
Extract and document writing styles from source texts into reusable style guides. Use when analyzing an author's voice, creating a style guide from a book or document, capturing…
-
Read large logs, JSON and docs in a fraction of the tokens. Offline, fact-preserving optimizer.
-
Run citation-grounded entity workups (graph + relational + full-text + semantic) from Claude Code via the bundled Ariadne MCP server.
-
Structured research summarization — summarize academic papers, market research, user interviews, and competitive analysis into actionable insights.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Advanced Security plugin for GitHub Copilot.
Has a listing on Cursor: cursor/plugins (5)
-
Track AI visibility, sentiment, and citations.
-
Generate presentations, documents, and webpages.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Search meetings and pull transcripts and summaries.
-
Add Grok voice to an app: realtime speech-to-speech, speech-to-text dictation, text-to-speech read-aloud, and a log-driven fix loop for voice sessions.
Has a listing on Docker MCP Catalog (5)
-
Analyze documents, images, videos, and audio.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
-
Discovers and retrieves llms.txt from websites.
Has a listing on Official MCP Registry (5)
-
Score sentiment toward specific entities in text. Cluster documents and name topics.
-
Text Intelligence delivers robust NLP capabilities without the hassle of authentication or
-
Decompose text into classified semantic units. Authority, risk, attention. No LLM.
-
Classify text into categories with confidence, readability, content type. x402.
-
Sentiment, language detection, readability, keywords, summaries and profanity filtering
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.