How does this help with quantitative research?

In the context of the AERA workstation, it helps researchers identify repetitive data processing or visualization steps that can be standardized into efficient routines.

Is Pattern Miner useful for general software development?

Yes. While part of the quant-lab repo, any developer who maintains an action log can use it to find bottlenecks and optimize their daily coding workflows.

What log formats does the skill support?

Pattern Miner is specifically configured to parse and analyze ACTION_LOG.md and ACTION_LOG.jsonl files within your project repository.

Does Pattern Miner automatically create new code?

No, it is designed as an advisory tool. It identifies patterns and proposes automation ideas in PATTERNS.md, but it does not auto-create or modify your skills without intervention.

Pattern Miner

Name: Pattern Miner
Author: CheekyCodexConjurer

byCheekyCodexConjurer

生产力与工作流

Analyzes action logs to identify recurring workflows and suggest new automation opportunities.

关于

Pattern Miner is a diagnostic tool designed to optimize development workflows by mining execution data from historical action logs. By parsing activity files, it uncovers repetitive tasks, hidden dependencies, and consistent manual patterns that are ripe for automation. Instead of guessing where efficiency can be improved, this skill provides data-driven proposals for new automations and skill implementations, helping developers transition from manual execution to streamlined, AI-assisted routines within their local workstation.

主要功能

Generates a structured PATTERNS.md file to document optimization findings.
Analyzes ACTION_LOG files to detect high-frequency task sequences.
Adheres to safety guardrails by proposing rather than auto-executing changes.
0 GitHub stars
Identifies complex dependencies between recurring development actions.
Proposes specific Claude Code skill ideas based on observed user behavior.

使用场景

Auditing quantitative research workflows to discover common backtesting or visualization patterns.
Transforming a sequence of manual data cleaning steps into a reusable automation script.
Identifying redundant Git or deployment commands to streamline project maintenance.

关于

主要功能

Generates a structured PATTERNS.md file to document optimization findings.
Analyzes ACTION_LOG files to detect high-frequency task sequences.
Adheres to safety guardrails by proposing rather than auto-executing changes.
0 GitHub stars
Identifies complex dependencies between recurring development actions.
Proposes specific Claude Code skill ideas based on observed user behavior.

使用场景

Auditing quantitative research workflows to discover common backtesting or visualization patterns.
Transforming a sequence of manual data cleaning steps into a reusable automation script.
Identifying redundant Git or deployment commands to streamline project maintenance.