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duckdb

Skill526 starsChanged 18 days agoMITView on GitHub

Query the Lite app's DuckDB database safely while the collector is running

13 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use Python with the duckdb module, always with this pattern:

    line 25
  2. Distinctive:

    Close the connection: when done, so no read lock is left dangling

    line 46

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Query Lite's DuckDB Database

Safely query the PerformanceMonitor Lite DuckDB database using Python. This skill exists because DuckDB only allows one read-write connection at a time. When Lite is running (collecting data), it holds the write connection, so an external reader connects in read-only mode.

Database Location

The store lives at:

%LOCALAPPDATA%\PerformanceMonitorLite-Data\monitor.duckdb

Lite 3.3.0 and earlier kept it at the path below, and the file moves to the path above only when a newer build first runs. Check the path above first, and fall back to this one when it does not exist:

%LOCALAPPDATA%\PerformanceMonitorLite\monitor.duckdb

How to Query

Use Python with the duckdb module, always with this pattern:

python -c "
import duckdb, os
la = os.environ['LOCALAPPDATA']
p = la + '/PerformanceMonitorLite-Data/monitor.duckdb'
if not os.path.exists(p):
    p = la + '/PerformanceMonitorLite/monitor.duckdb'
con = duckdb.connect(p, read_only=True)
result = con.execute('YOUR SQL HERE').fetchall()
for row in result:
    print(row)
con.close()
"

Rules

  1. Pass read_only=True to duckdb.connect(). The default is read-write. Lite's write lock blocks a read-write connection, and it hangs or fails.
  2. Use forward slashes in the path (Python on Windows handles this fine)
  3. Close the connection when done, so no read lock is left dangling
  4. Use Python with its duckdb module

Common Queries

List all tables:

SELECT table_name FROM information_schema.tables WHERE table_schema = 'main' ORDER BY table_name;

List columns for a table:

SELECT column_name, data_type FROM information_schema.columns WHERE table_name = 'TABLE_NAME' ORDER BY ordinal_position;

List all views:

SELECT table_name FROM information_schema.tables WHERE table_type = 'VIEW' ORDER BY table_name;

Row counts:

SELECT table_name, estimated_size FROM duckdb_tables() ORDER BY estimated_size DESC;

DuckDB vs SQL Server Syntax Notes

  • String concatenation: || (not +)
  • ILIKE for case-insensitive LIKE
  • EPOCH_MS(timestamp_col) to convert to epoch
  • strftime('%Y-%m-%d %H:%M:%S', ts) for formatting
  • No TOP N -- use LIMIT N instead
  • EXCLUDE clause: SELECT * EXCLUDE (col1, col2) FROM table

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