agentleFS
fmschulzfmschulz/omics-skills/docs/agents.md

omics-skills

AGENTS.md9 starsChanged 4 months agoMITView on GitHub

An agent is a Markdown system prompt. It sets a role, the skills to use, and a workflow decision tree. Claude Code or Codex loads the prompt; the agent runs nothing by itself. When the right agent is not obvious, ask the router. --agent limits the answer to one agent:

The file

We split this agents.md 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:

    When the right agent is not obvious, ask the router.

    line 12

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
agents.md

Agents

An agent is a Markdown system prompt. It sets a role, the skills to use, and a workflow decision tree. Claude Code or Codex loads the prompt; the agent runs nothing by itself.

AgentUse it forCommon first skills
omics-scientistReads, assemblies, MAGs, annotation, taxonomy, phylogenomics, viral discovery, public database records, project setup and biological interpretation.bioinformatics-project, bio-reads-qc-mapping, bio-assembly-qc, tracking-taxonomy-updates, bio-annotation
literature-expertLiterature and preprint search, DOI and citation metadata, citation impact, and claim and evidence extraction.polars-dovmed, arxiv-search, biorxiv-search, crossref-lookup, csag-extraction
science-writerManuscripts, revisions and response letters, proposal review, methods sections, multi-reviewer evaluation and argument graphs.scientific-writing, manuscript-review-council, proposal-review, bio-workflow-methods-docwriter, csag-extraction
dataviz-artistData inspection, notebooks, exploratory plots, figures and dashboards, greyscale first.exploratory-data-analysis, notebooks, beautiful-data-viz, plotly-dashboard-skill

When the right agent is not obvious, ask the router. --agent limits the answer to one agent:

python3 scripts/skill_index.py route --agent omics-scientist "annotate viral contigs and compare relatives"

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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.