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Structured research methods for AI agents - hypothesis testing, exploratory analysis, comparative analysis, and qualitative research
npx claudepluginhub tilmon-engineering/claude-skills --plugin datapeekerSummarize interview transcripts or field notes, extract key quotes, and identify initial observations to prevent context pollution in the main analysis session.
Analyze free text column values and propose categorical groupings with complete value-to-category mappings
Identify exact duplicate rows in a table, return groups with counts and examples
Identify foreign key relationships using heuristics, value overlap, cardinality analysis, and referential integrity validation
Find near-duplicate records using fuzzy string matching on key text columns
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist
Component skill for creating effective visualizations (terminal-based and image-based) in DataPeeker analysis sessions
Identify foreign key relationships between tables using heuristics, value overlap analysis, and referential integrity checks
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Agents used for research across multiple data sources. Other plugins expect this one to be enabled.
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Enable AI agents to iteratively self-direct in pursuit of open-ended goals with state continuity across conversations through iteration journals
Institutional knowledge marketplace for AI agent teams, maintained by Tilmon Engineering.
This marketplace hosts a collection of Claude Code plugins that capture institutional knowledge and enable AI agents to perform specialized tasks with rigorous, repeatable methodologies.
Structured research methods for AI agents conducting rigorous, reproducible data analysis and qualitative research.
Version: 1.0.0
Key capabilities:
Enable AI agents to iteratively self-direct in pursuit of open-ended goals with state continuity across conversations through iteration journals.
Version: 1.0.0
Key capabilities:
Install from GitHub:
claude plugin install tilmon-engineering/claude-skills
Strongly recommended dependency: ed3d-plugins provides plan-and-execute workflows, brainstorming, TDD, and other development skills that complement these plugins.
claude plugin install ed3dai/ed3d-plugins
To add a new plugin to this marketplace:
plugins/[plugin-name]/.claude-plugin/plugin.json with metadataskills/ and/or agents in agents//.claude-plugin/marketplace.json to include new pluginclaude plugin validate .plugins/[plugin-name]/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata
├── skills/ # Optional: Claude Code skills
├── agents/ # Optional: Specialized agents
├── templates/ # Optional: Template files
└── README.md # Plugin documentation
MIT - See LICENSE for details.