agentleFS
matteingmatteing/opal/.claude/skills/citations/SKILL.md

citations

Skill59 starsChanged 9 months agoMITView on GitHub

Automatically adds user-provided links and citations to docs/research/references.md. Use this skill whenever the user shares a URL, paper, blog post, or external reference that should be recorded.

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    When the user provides a link or citation, add it to docs/research/references.md automatically.

    line 9

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “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

Citations Skill

When the user provides a link or citation, add it to docs/research/references.md automatically.

Rules

  1. Categorize — place the reference under the most appropriate existing ## section. Create a new section only if nothing fits.
  2. Format — use the existing bullet style: - [Title](URL) — One-sentence description. (source-context)
  3. Deduplicate — if the URL already exists in the file, update the description instead of adding a duplicate.
  4. TODO section — if the reference is speculative or needs further review, place it under the ## TODO section at the bottom instead.
  5. No prompting — do not ask the user whether to add the reference. Just add it.

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.