agentleFS
mahik504mahik504/orchestra-workflow/skills/orchestra-docs/SKILL.md

orchestra-docs

Skill1 starsChanged 18 days agoMITView on GitHub

College/product slides, reports, and papers. Use when the user needs a PPTX, PDF report, README, or academic paper. Not for app UI. Prefer markdown then export. Do not fake citations.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    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:

    Do not install Anthropic frontend-design.

    line 8

≈ “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

Docs, slides, papers — Orchestra 3.3.6

Do not install Anthropic frontend-design. Document skills only.

What to use

OutputHow
SlidesWrite content in markdown first. Build .pptx with python-pptx or pptxgenjs. Few slides, one idea each, real hierarchy. Optional later: Anthropic pptx skill inside Claude/Antigravity (proprietary — do not copy the whole anthropics/skills repo).
Course report / READMEMarkdown in the repo. Honest, short.
Research paperLaTeX + .bib. Real citations only. Conference template from the venue. Thin MIT reference: research-paper-writing as method, not a 12-agent install.

Taste

Same as Preferences.md: no purple AI-SaaS slide templates, no fake NeurIPS claims, no invented references.

Never

  • Dump anthropics/skills or academic 12-agent packs into Cursor.
  • Generate a bibliography you did not read.

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.