Agent skill · Workflow & Productivity

replay-learnings

Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".

Rohit Ghumare73,165★ · +3,601/wk · 3 repos on radarProfile →
claude-codecodexcursor
Install
npx skills add rohitg00/pro-workflow --skill replay-learnings --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/replay-learnings/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,760 · +95 this week
Language: JavaScript
Read our review of the source →

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

From the SKILL.md

# Replay Learnings Like muscle memory for your coding sessions. Find and surface relevant learnings before you start working. ## Trigger Use when starting a new task, saying "what do I know about", "before I start", "replay", or "remind me about". ## Workflow 1. Extract keywords from the task description (e.g. "auth refactor" → `auth`, `middleware`, `refactor`). 2. Search learnings/memory for matc

More from pro-workflow
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About this skill
What does the replay-learnings skill do?

Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".

How do I install it?

Run `npx skills add rohitg00/pro-workflow --skill replay-learnings --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 rohitg00/pro-workflow, a repository with 2,760 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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