agentleFS
marslomarslo/skills/cursor-blame/SKILL.md

cursor-blame

Skill0 starsChanged 2 months agoMITView on GitHub

Investigate how code was built with AI. Reveals which conversations produced the code, why it was implemented a certain way, what alternatives were considered, and the intent behind decisions. Use when the user asks about history, evolution, or authorship of code.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When asking about why code was written a certain way

    line 16
  2. Distinctive:

    When investigating the history of a file or function

    line 17
  3. Distinctive:

    When understanding what alternatives were considered

    line 18
  4. Distinctive:

    When tracing the evolution of a codebase

    line 19

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Cursor Blame

This skill helps you investigate the history and intent behind code changes made with AI assistance.

When to Use

  • When asking about why code was written a certain way
  • When investigating the history of a file or function
  • When understanding what alternatives were considered
  • When tracing the evolution of a codebase

How It Works

Cursor Blame correlates code with the AI conversations that produced it, providing:

  • Conversation context and summaries
  • Decision rationale and tradeoffs discussed
  • Models used during development
  • Timeline of changes

Usage

Simply ask questions like:

  • "Why was this function implemented this way?"
  • "What was the reasoning behind this architecture decision?"
  • "Show me the history of changes to this file"

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.