Define requirements for an OpenClaw integration
Document a proposed integration's data needs, actions, credentials, and review boundaries.
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
--- name: wrangling-skills-37369ded5513 description: "10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks." --- # Data Wrangling — 10 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [csv-data-analyzer](./csv-data-analyzer/SKILL.md) | Load, explore, clean, and analyze CSV data with statistical summaries | | [data-cleaning-pipeline](./data-cleaning-pipeline/SKILL.md) | Systematic data cleaning workflows for research datasets | | [data-cog-guide](./data-cog-guide/SKILL.md) | Upload messy CSVs with minimal prompting for deep automated analysis | | [missing-data-handling](./missing-data-handling/SKILL.md) | Diagnose missing data patterns and apply appropriate imputation strategies | | [pandas-data-wrangling](./pandas-data-wrangling/SKILL.md) | Data cleaning, transformation, and exploratory analysis with pandas | | [questionnaire-design-guide](./questionnaire-design-guide/SKILL.md) | Questionnaire and survey design with Likert scales and coding | | [stata-data-cleaning](./stata-data-cleaning/SKILL.md) | Clean, transform, and validate messy research data using Stata | | [streamline-analyst-guide](./streamline-analyst-guide/SKILL.md) | End-to-end data analysis AI agent with Streamlit UI | | [survey-data-processing](./survey-data-processing/SKILL.md) | Clean, recode, and prepare survey response data for analysis | | [text-mining-guide](./text-mining-guide/SKILL.md) | Apply NLP and text mining techniques to research text data |--- name: wrangling-skills-37369ded5513 description: "10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks." --- # Data Wrangling — 10 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [csv-data-analyzer](./csv-data-analyzer/SKILL.md) | Load, explore, clean, and analyze CSV data with statistical summaries | | [data-cleaning-pipeline](./data-cleaning-pipeline/SKILL.md) | Systematic data cleaning workflows for research datasets | | [data-cog-guide](./data-cog-guide/SKILL.md) | Upload messy CSVs with minimal prompting for deep automated analysis | | [missing-data-handling](./missing-data-handling/SKILL.md) | Diagnose missing data patterns and apply appropriate imputation strategies | | [pandas-data-wrangling](./pandas-data-wrangling/SKILL.md) | Data cleaning, transformation, and exploratory analysis with pandas | | [questionnaire-design-guide](./questionnaire-design-guide/SKILL.md) | Questionnaire and survey design with Likert scales and coding | | [stata-data-cleaning](./stata-data-cleaning/SKILL.md) | Clean, transform, and validate messy research data using Stata | | [streamline-analyst-guide](./streamline-analyst-guide/SKILL.md) | End-to-end data analysis AI agent with Streamlit UI | | [survey-data-processing](./survey-data-processing/SKILL.md) | Clean, recode, and prepare survey response data for analysis | | [text-mining-guide](./text-mining-guide/SKILL.md) | Apply NLP and text mining techniques to research text data |
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.