How does Pattern Miner improve developer productivity?

It highlights repetitive manual work that you might not notice, suggesting ways to automate those tasks and reduce cognitive load.

What files does Pattern Miner analyze?

Pattern Miner specifically reviews ACTION_LOG.md and ACTION_LOG.jsonl files to identify historical task patterns.

Does this skill automatically create new code or skills?

No. Pattern Miner follows a strict guardrail to only propose automation ideas in PATTERNS.md, allowing you to review and implement them manually.

Where can I find the results of the pattern mining?

All identified patterns and automation proposals are recorded in a file named PATTERNS.md in your project directory.

Pattern Miner

Name: Pattern Miner
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Productivity & Workflow

Analyzes development action logs to identify recurring tasks and suggest high-impact automation opportunities.

About

Pattern Miner is a workflow optimization tool for Claude Code that transforms historical activity data into actionable automation strategies. By systematically scanning ACTION_LOG.md and ACTION_LOG.jsonl files, the skill identifies repetitive task sequences, manual overhead, and complex dependencies that are candidates for streamlining. It documentation these findings in a dedicated PATTERNS.md file, providing developers with a data-driven roadmap for creating new skills or scripts without the risk of unauthorized code generation, as the tool is strictly limited to observation and proposal.

Key Features

0 GitHub stars
Safety-first design that proposes improvements without auto-execution
Dependency mapping between recurring developer actions
Automated analysis of ACTION_LOG.md and ACTION_LOG.jsonl files
Structured reporting of findings in PATTERNS.md
Identification of repetitive development sequences and task clusters

Use Cases

Generating a roadmap for project-specific automation based on actual usage data
Auditing project history to identify workflow bottlenecks and friction points
Discovering manual CLI sequences that should be converted into custom skills

About

Key Features

0 GitHub stars
Safety-first design that proposes improvements without auto-execution
Dependency mapping between recurring developer actions
Automated analysis of ACTION_LOG.md and ACTION_LOG.jsonl files
Structured reporting of findings in PATTERNS.md
Identification of repetitive development sequences and task clusters

Use Cases

Generating a roadmap for project-specific automation based on actual usage data
Auditing project history to identify workflow bottlenecks and friction points
Discovering manual CLI sequences that should be converted into custom skills