replay-learnings skillA
replay-learnings is agent-read markdown (skill) from rohitg00/pro-workflow: 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"..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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 matching patterns:
```bash
grep -i "auth\|middleware" .claude/LEARNED.md 2>/dev/null
grep -i "auth\|middleware" .claude/learning-log.md 2>/dev/null
grep -A2 "\[LEARN\]" CLAUDE.md | grep -i "auth\|middleware"
```
3. Check session history for similar work — what was the correction rate?
4. Surface the top learnings ranked by relevance.
5. If no learnings found, suggest starting with the scout agent to explore first.
## Output
```
REPLAY BRIEFING: <task>
=======================
Past learnings (ranked by relevance):
1. [Testing] Always mock external APIs in auth tests (applied 8x)
Mistake: Called live API in tests, caused flaky failures
2. [Navigation] Auth middleware is in src/middleware/ not src/auth/ (applied 5x)
…Read the whole file at its exact version.
How to install
mdr add rohitg00/pro-workflow/replay-learnings@git:20260226.772ac3cmdr add rohitg00/pro-workflow/replay-learnings@sha256:2f92ef8eab20f6b0Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_usakd4kmce35vkjw)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260226.772ac3c latest | 2026-02-26 | 772ac3c | 2,181 B | A | view · diff |
| git:20260219.ec5a5e7 | 2026-02-19 | ec5a5e7 | 1,851 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2181 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rohitg00/pro-workflow · 2,879 stars · license none · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_usakd4kmce35vkjw GET https://markdownregistry.com/api/v1/resolve?ref=rohitg00/pro-workflow/replay-learnings GET https://markdownregistry.com/api/v1/blob/2f92ef8eab20f6b0ce0c6711968bb437f7926bda395e045fcb8ab260cb42d3be
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.