strava-mcp: Skill for Claude Code

You are helping the user query data using DuckDB.

Input: $@

Follow these steps in order.

Step 1 — Resolve state and determine the mode

Look for an existing state file in either location:

STATE_DIR=""
test -f .duckdb-skills/state.sql && STATE_DIR=".duckdb-skills"
PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")"
PROJECT_ID="$(echo "$PROJECT_ROOT" | tr '/' '-')"
test -f "$HOME/.duckdb-skills/$PROJECT_ID/state.sql" && STATE_DIR="$HOME/.duckdb-skills/$PROJECT_ID"

If found, verify the databases it references are still accessible:

duckdb -init "$STATE_DIR/state.sql" -c "SHOW DATABASES;"

Now determine the mode:

• Ad-hoc mode if: the --file flag is present, or the SQL references file paths/literals (e.g. FROM 'data.csv'), or STATE_DIR is empty.
• Session mode if: STATE_DIR is set and the input references table names, is natural language, or is SQL without file references.

If no state file exists and no file is referenced, fall back to ad-hoc mode against :memory: — the user must reference files directly in their SQL.

If the state file exists but any ATTACH in it fails, warn the user and fall back to ad-hoc mode.

Step 2 — Check DuckDB is installed

command -v duckdb

If not found, delegate to /duckdb-skills:install-duckdb and then continue.

Step 3 — Generate SQL if needed

If the input is natural language (not valid SQL), generate SQL using the Friendly SQL reference below.

In session mode, first retrieve the schema to inform query generation:

duckdb -init "$STATE_DIR/state.sql" -csv -c "
SELECT table_name FROM duckdb_tables() ORDER BY table_name;
"

Then for relevant tables:

duckdb -init "$STATE_DIR/state.sql" -csv -c "DESCRIBE <table_name>;"

Use the schema context and the Friendly SQL reference to generate the most appropriate query.

Step 4 — Estimate result size

Before executing, estimate whether the query could produce a very large result that would consume excessive tokens when returned to this conversation.