DevSQL Querying Skill

Use DevSQL Code Mode to query Claude Code and Codex CLI history, shell history, Git commits, source code, and durable worklogs.

Primary interface

Prefer the connected DevSQL Code Mode server. Use codemodesearch to discover typed devsql.* methods, then codemodeexecute to compose them in JavaScript. Poll durable work with codemodeexecution; approve writes with codemodedecide only when the user has authorized them.

Use the direct commands below only when Code Mode is unavailable or when writing a shell script.

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/Codex usage with Git history
• User wants to search for symbols, functions, or classes in the codebase
• User asks "What's in this file?" or needs file context
• User wants to understand what changed between commits
• User asks about imports, dependencies, or impact of a file

Prerequisites

Ensure devsql is installed:

brew install douglance/tap/devsql

Agent Tool Commands

For structured queries, prefer these subcommands (they return JSON):

All commands accept --repo / -r and --data-dir / -d options.

Available Tables

Claude/Codex Tables

transcripts covers ~/.claude/projects/<slug>/**/.jsonl (top-level sessions plus subagent transcripts) and the legacy ~/.claude/transcripts/.jsonl. sessions has one aggregated row per session file; project / project is the project slug directory (e.g. -Users-you-Developer-app), NULL for legacy files. agent_id is set only on subagent rows.

Git Tables

Code Tables (Source Analysis)

\* Full extraction requires the tree-sitter-ast build feature. Without it, symbols uses regex-based extraction and imports/ast_nodes are empty.

Supported languages for symbol extraction: Rust, TypeScript, JavaScript, Python, Go.

Symbol kinds: fn (Rust), function (TypeScript/JavaScript/Python), struct, enum, trait, type, const, static, mod, macro, class, interface (varies by language).

Approach

1. Understand what the user wants to analyze
2. Choose the right tool:

- For structured queries about symbols/files/history → use a subcommand - For cross-table analytics or custom joins → compose a SQL query

1. Execute with: devsql "<query>" or devsql <subcommand> <args>
2. 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;

-- Find all public Rust functions (Rust emits kind='fn'; JS/TS use 'function')
SELECT name, file_path, line_start, signature
FROM symbols
WHERE kind = 'fn' AND visibility = 'pub'
ORDER BY file_path, line_start;

-- Top sessions by cache-read tokens
SELECT title, project, total_cache_read_input_tokens, last_timestamp
FROM sessions
ORDER BY total_cache_read_input_tokens DESC
LIMIT 10;

-- Daily output tokens by model (flattened usage columns)
SELECT DATE(timestamp) as day, model, SUM(usage_output_tokens) as output_tokens
FROM transcripts
WHERE type = 'assistant' AND usage_output_tokens IS NOT NULL
GROUP BY day, model
ORDER BY day DESC;

-- Codebase overview by language
SELECT language, COUNT(*) as files, SUM(line_count) as total_lines
FROM source_files
GROUP BY language
ORDER BY total_lines DESC;

-- Files with the most symbols
SELECT s.file_path, f.language, COUNT(*) as symbol_count
FROM symbols s
JOIN source_files f ON s.file_path = f.path
GROUP BY s.file_path
ORDER BY symbol_count DESC
LIMIT 10;

-- Most changed files correlated with symbol count
SELECT df.path, COUNT(DISTINCT df.commit_id) as commits,
  SUM(df.insertions) as total_adds,
  (SELECT COUNT(*) FROM symbols s WHERE s.file_path = df.path) as symbols
FROM diff_files df
GROUP BY df.path
ORDER BY commits DESC
LIMIT 10;

Output Formats

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