duckdb
Skill22 starsChanged 8 days agoNo licenceView on GitHub
Queries, inspects, transforms, and converts local structured and semi-structured data files (JSON, JSONL, NDJSON, CSV, TSV, Parquet, SQLite), unified code diffs, and Markdown documents on Linux and macOS with DuckDB SQL. Use when querying local JSON, CSV, or SQLite files, benchmark artifacts, large code diffs, or Markdown corpora, inspecting schemas and row counts, searching and joining JSONL log globs with SQLite index databases (such as transcript.jsonl and conversation_summaries.db), joining files across formats, converting datasets to Parquet, running analytical SQL recipes, or filtering stdin pipelines. Prefer it over ad hoc Python or jq for filtering, grouping, and joining local data. Don't use for remote cloud data warehouses (BigQuery, Snowflake, Spanner) or PLx dashboards.
- Installs packages
13 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- gspencergoog/skillsedited, first seen Nov 8, 2026
- fmind/dottheir own version, first seen Nov 8, 2026
- fmind/dotfilestheir own version, first seen Nov 8, 2026
- bmsuisse/skillstheir own version, first seen Nov 6, 2026
- mjun0812/skillstheir own version, first seen Nov 1, 2026
- erikdarlingdata/PerformanceMonitortheir own version, first seen Oct 25, 2026
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- gspencergoog/skills★ 262% same
Wrote their own version · 12
- erikdarlingdata/PerformanceMonitor★ 526same name
- tondevrel/scientific-agent-skills★ 22same name
- G1Joshi/Agent-Skills★ 15same name
- fmind/dot★ 13same name
- fmind/dotfiles★ 13same name
- benjaminwestern/google-engineer-skills★ 5same name
- bmsuisse/skills★ 2same name
- Jiplet/transformation-os★ 2same name
- silvainfm/claude-skills★ 2same name
- jcsaaddupuy/badrobots★ 1same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository18 other files it gives its agents.
- book-lookupSkill
- clarify-confirm-continueSkill
- cold-readSkill
- dart-cleanupSkill
- distilling-strategies-interactivelySkill
- gerrit-stacked-clsSkill
- just-brainstormSkill
- lit-reviewSkill
- markdown-long-linesSkill
- new-worktreeSkill
- pr-reviewSkill
- quick-questionSkill
- quiz-meSkill
- sem-cliSkill
- sharpen-laterSkill
- sharpen-sawSkill
- sidequestSkill
- slice-and-diceSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 0 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.