Mine historical project data to identify patterns and generate predictions.
npx skills add https://github.com/mehdic/CDC --skill pattern-miner
Please help me install this Agent Skill. Skill: pattern-miner Source: https://github.com/mehdic/CDC/tree/main/.claude/skills/pattern-miner Command: npx skills add https://github.com/mehdic/CDC --skill pattern-miner
Project managers often make decisions based on intuition rather than data, leading to recurring mistakes, inaccurate estimates, and missed opportunities for improvement. This Skill provides data-driven insights from historical project runs.
Mine historical data for patterns and predictive insights for the current project.
High-intent search queries and answers about installing and using this skill.
Pattern-miner analyzes completed project runs to identify recurring patterns and estimate adjustments. It mines historical metrics to forecast task durations and predict bottlenecks, enabling more accurate timeline planning for future features based on past performance data.
The Skill detects recurring task patterns—such as module-specific delays or velocity trends—by mining historical data. It generates pattern insights, estimation adjustments, risk indicators, and lessons learned to reveal systematic issues like database tasks consistently overrunning.
Run pattern-miner before starting new features, during planning phases, task estimation, or post-mortems when you have 5+ completed project runs. It forecasts task patterns and adjustments to refine estimates and reduce surprises in your current project.
Pattern-miner reads from bazinga/historical_metrics.json, a structured historical data file. Ensure your completed runs export metrics to this format; the Skill requires jq for processing and outputs insights to bazinga/artifacts/{SESSION_ID}/skills/pattern_insights.json.
Pattern-miner generates a structured summary including patterns detected, estimation adjustments, predictions for your current project, risk indicators, and lessons learned. These data-driven insights inform planning decisions and help avoid recurring mistakes.
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