Agent skill

pattern_miner

Extract recurring patterns from action logs and propose automations.

majiayu000github.com/majiayu000GitHub ↗
codexclaude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill pattern-miner-cheekycodexconjurer-quant-lab --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 0 KB
Bundled scripts: none
Path: skills/analysis/pattern-miner-cheekycodexconjurer-quant-lab/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Purpose Turn Action Log data into reusable automation ideas. ## Steps 1. Review `ACTION_LOG.md` and `ACTION_LOG.jsonl`. 2. Identify recurring tasks or dependencies. 3. Record findings in `PATTERNS.md`. ## Guardrails - Propose skills only; do not auto-create them.

What's inside
Steps it walks through
  1. Purpose
  2. Steps
  3. Guardrails
Ships with 1 file
  • metadata.json
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About this skill
What does the pattern_miner skill do?

Extract recurring patterns from action logs and propose automations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill pattern-miner-cheekycodexconjurer-quant-lab --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 majiayu000/claude-skill-registry, a repository with 534 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.

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