agentleFS
mmurakarummurakaru/skills/prior-art/SKILL.md

prior-art

Skill0 starsChanged 7 days agoMITView on GitHub

Spike a topic in its prior art and first principles before a PRD session. Surfaces the established primitives, canonical prior work, and the one essential mechanism for a context/topic.

6 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, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 1

    Distinctive

    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:

    Stop there - this primes the PRD session, it does not start it.

    line 12

“Common” is measured: kept by at least 6 in 10 of the 5 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

For the topic I name, gather the prior art before we design: the foundational primitives, the canonical prior work (papers, standards, named patterns) and the industry-standard vocabulary for each, how the best existing systems structure this space, and their known trade-offs and failure modes. Prefer established sources over invention - search the web, cite what you find, and use the standard name for every concept, never a coined one.

Then give me a one-screen primer: the 3-5 load-bearing primitives, the single essential mechanism the whole design should turn on, the main design axes (with the prevailing default on each), and the traps to avoid.

Stop there - this primes the PRD session, it does not start it. Do not propose a design or a plan yet.

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.