DevSQL Querying Skill

Query your Claude Code history joined with Git commits to analyze productivity patterns.

When to Use

• User asks "How many Claude sessions did I have this week?"
• User wants to "Find my longest debugging sessions"
• User asks "Which prompts led to the most commits?"
• User wants productivity analytics or session insights
• User asks about correlating Claude usage with Git history

Prerequisites

Ensure devsql is installed:

brew install douglance/tap/devsql

Available Tables

Claude Code Tables

Git Tables

Approach

1. Understand what the user wants to analyze
2. Compose a SQL query joining Claude and Git data as needed
3. Execute with: devsql "<query>"
4. Present results with insights

Note: history.timestamp is in milliseconds. Use datetime(timestamp/1000, 'unixepoch') to convert.

Example Queries

-- Recent prompts
SELECT display as prompt, project
FROM history ORDER BY timestamp DESC LIMIT 10;

-- Prompts this week
SELECT COUNT(*) as prompts
FROM history
WHERE datetime(timestamp/1000, 'unixepoch') > date('now', '-7 days');

-- Correlate prompts with commits
SELECT
  date(c.authored_at) as day,
  COUNT(DISTINCT h.timestamp) as prompts,
  COUNT(DISTINCT c.id) as commits
FROM commits c
LEFT JOIN history h
  ON date(c.authored_at) = date(datetime(h.timestamp/1000, 'unixepoch'))
GROUP BY day
ORDER BY day DESC
LIMIT 14;

-- Which prompts led to commits?
SELECT h.display as prompt, COUNT(c.id) as commits_after
FROM history h
JOIN commits c ON date(datetime(h.timestamp/1000, 'unixepoch')) = date(c.authored_at)
GROUP BY h.display
ORDER BY commits_after DESC
LIMIT 10;

-- Tool usage
SELECT tool_name, COUNT(*) as uses
FROM transcripts
WHERE type = 'tool_use'
GROUP BY tool_name
ORDER BY uses DESC;

Output Formats

• Default: formatted table
• CSV: devsql -f csv "<query>"
• JSON: devsql -f json "<query>"