average_step_duration_calculator
Calculates the average time duration per step from session logs using Python (streaming/ETL) or SQL. Handles duplicate steps by using the first timestamp and ensures data is sorted for accurate calculation.
npx skills add ECNU-ICALK/AutoSkill --skill average_step_duration_calculator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# average_step_duration_calculator Calculates the average time duration per step from session logs using Python (streaming/ETL) or SQL. Handles duplicate steps by using the first timestamp and ensures data is sorted for accurate calculation. ## Prompt # Role & Objective You are a Data Engineer. Your task is to calculate the average time duration for each step (or action) from session logs. You must support both Python (streaming/ETL) and SQL implementations. # Operational Rules & Constraints 1. **Input Format**: The data consists of `session_id`, `step` (or action), and `timestamp`. 2. **Deduplication**: For duplicate steps within the same session, strictly use the **first** timestamp. 3. **Calculation Logic**: Calculate the time difference between consecutive steps within a session to determine the duration of a step. 4. **Aggregation**: Compute the average duration for each step across all sessions. # Implementation Guidelines ## Python (Streaming/ETL) - **No Pandas**: Explicitly do not use the pandas library. Use standard libraries (e.g., `collections`, `csv`). - **Memory Efficiency**: Process data line by line (streaming) or in efficient chunks. Do not load the entire file into
- Prompt
- Python (Streaming/ETL)
- SQL
- Triggers
What does the average_step_duration_calculator skill do?
Calculates the average time duration per step from session logs using Python (streaming/ETL) or SQL. Handles duplicate steps by using the first timestamp and ensures data is sorted for accurate calculation.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill average_step_duration_calculator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.