Query the LCLS Smartsheet closeout database for experiment details and notes.
npx skills add https://github.com/carbonscott/deploy-opencode --skill smartsheet
Please help me install this Agent Skill. Skill: smartsheet Source: https://github.com/carbonscott/deploy-opencode/tree/main/claude/skills/smartsheet Command: npx skills add https://github.com/carbonscott/deploy-opencode --skill smartsheet
This Skill provides a structured method to query and retrieve information from the LCLS Smartsheet closeout database, enabling fast access to experiment details, technical issues, safety notes, and engineering concerns from past experiments.
Query the closeout_notes.db to fetch the latest Smartsheet closeout records for a given instrument.
High-intent search queries and answers about installing and using this skill.
Query the LCLS Smartsheet closeout database to retrieve experiment details, technical issues, safety notes, and engineering concerns by running read-only sqlite3 queries against the closeout_notes.db file.
Yes, you can search the closeout database by spokesperson or instrument. The Skill uses the schema.md reference file to interpret tables and columns, guiding you to construct and execute targeted sqlite3 queries for matching records.
To run SQL queries against the closeout_notes.db SQLite database, set the SS_DB environment variable, use sqlite3 with header and column formatting, and reference the schema.md file to identify the correct tables and columns for your search.
The LCLS Smartsheet experiment closeout database stores details from past experiments, including technical issues, safety notes, engineering concerns, and actionable items extracted from historical Smartsheet closeout records.
No, the Smartsheet closeout query helper supports read-only SQLite access to the database. It is designed strictly for retrieving and inspecting historical experiment data, not for modifying or adding new closeout records.
The best way to extract actionable items is to query the closeout_notes.db using sqlite3, applying practical search patterns for topics, comments, and actions guided by the schema references to format and filter the results.
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