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findings-workflow

v0.8.0

A collaborative, provenance-tracked workflow for AI-assisted scientific data analysis. A scientist and Claude Code turn exploratory analysis into a curated, independently validated findings graph instead of a disposable chat transcript.

Claude Code7 Skills

By Michael RiffleLicense: Apache-2.02 GitHub starsUpdated 2 hours ago

Directory evidence

Runtimes
Claude Code
Parsed components
7 skill or MCP entries
Source updated
Sep 28, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install findings-workflow for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install findings-workflow@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/mriffle/findings-ai-collab-workflow

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.

Plugin files

findings-workflow/
├── .claude-plugin/plugin.json
├── skills/figure-generation/SKILL.md
├── skills/report-writing/SKILL.md
├── skills/research-protein/SKILL.md
├── skills/research-publications/SKILL.md
├── skills/research-source-code/SKILL.md
├── skills/statistical-analysis/SKILL.md
└── skills/verification-task-builder/SKILL.md

Included Skills7

figure-generationskills/figure-generation/SKILL.md

How to render a publication-ready figure in a Findings Workflow project: read the color registry, apply the publication defaults, dual-export (SVG + 300 DPI PNG), render a separate legend image, and handle the >8-category problem. Use whenever generating a figure for a finding or report.

report-writingskills/report-writing/SKILL.md

How to assemble a report in a Findings Workflow project as a projection of the findings graph: structure, the shared-spec discipline for parallel writers, the per-section write/review loop, and the coherence/assembly pass. Use when running Stage 6 (the stage6-report command) or drafting/assembling report sections.

research-proteinskills/research-protein/SKILL.md

How to research a protein or gene for a Findings Workflow project using the authoritative databases (UniProt, PDB/AlphaFold, STRING, GO), with identifier and fact verification. Use when a finding involves a specific protein/gene and needs grounded background. Output feeds a research-finding.

research-publicationsskills/research-publications/SKILL.md

How to research the scientific literature properly for a Findings Workflow project: find the relevant primary sources, extract specific claims, and cite them with verifiable identifiers (DOI/PMID). Use when researching a question, a paper, or a body of work. Output feeds a research-finding.

research-source-codeskills/research-source-code/SKILL.md

How to ground a methodological claim in what a tool ACTUALLY computes by reading its source code and documentation, rather than trusting a methods-section description. Use for claims about how software like DIA-NN, limma, MSstats, or a search engine processes data. Output feeds a research-finding.

statistical-analysisskills/statistical-analysis/SKILL.md

How to run a statistically sound analysis in a Findings Workflow project: seed from the vetted lib/ templates, and apply the leakage-safe, multiplicity-honest patterns the conventions require. Use when performing differential abundance, group comparisons, classification, regression, or dimensionality reduction.

verification-task-builderskills/verification-task-builder/SKILL.md

Mechanically construct a blind verification task for the verifier agent from a finding's structured fields, with the answer (evidence and verdict) stripped, and pre-specify the concordance criterion before the verifier runs. Use this whenever preparing to validate a finding (analytic or data replication), so the agent that knows the result never hand-writes a prompt that could leak it.

Plugin manifests1

.claude-plugin/plugin.json
{
  "name": "findings-workflow",
  "version": "0.8.0",
  "description": "A collaborative, provenance-tracked workflow for AI-assisted scientific data analysis. A scientist and Claude Code turn exploratory analysis into a curated, independently validated findings graph instead of a disposable chat transcript.",
  "author": {
    "name": "Michael Riffle",
    "email": "[email protected]"
  },
  "homepage": "https://github.com/mriffle/findings-ai-collab-workflow",
  "repository": "https://github.com/mriffle/findings-ai-collab-workflow",
  "license": "Apache-2.0"
}

For maintainers

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[findings-workflow on Agent Plugins Marketplace](https://pluginsmp.com/plugins/findings-workflow)