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AI EngineeringPython

Campaign Manager

by BioTender-max

Campaign Manager is an AI Engineering skill for Claude Code, published by BioTender-max in awesome-bio-agent-skills.

174 stars30 forkson BioTender-max/awesome-bio-agent-skillsAdded 2026/09/07+1% in starsRepository updated 2026/07/01
agent-skillsai-agentai-agentsawesomeawesome-listbioinformaticsbiomedicalclaudeclaude-codeclaude-skillscomputational-biologydrug-discoverygenomicsllmmcpprotein-designproteomicssingle-cellskillstranscriptomics
Install in seconds
Install Campaign Manager
Copy Campaign Manager into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/adaptyv/campaign-manager ~/.claude/skills/campaign-manager

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/BioTender-max/awesome-bio-agent-skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/adaptyv/campaign-manager/SKILL.md in BioTender-max/awesome-bio-agent-skills
Installs to
~/.claude/skills/campaign-manager
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 3475 skills

What Campaign Manager does

Campaign Manager turns binder design goals into runnable pipelines and estimates designs, time, cost, and expected yield. It is used to assess campaign health, diagnose QC failures, and choose among protein design tools.

Campaign Manager is cataloged under AI Engineering on DirSkills. Campaign Manager comes from a repository tagged agent-skills, ai-agent, ai-agents, awesome and awesome-list.

Documentation

README

Campaign Manager

Goal-oriented design

From goal to pipeline

When user says: "I need 10 good binders for EGFR"

Campaign Planning:

Goal: 10 high-quality binders for EGFR
โ”œโ”€โ”€ Achievable: Yes (standard target)
โ”œโ”€โ”€ Recommended pipeline: rfdiffusion โ†’ proteinmpnn โ†’ colabfold โ†’ protein-qc
โ”œโ”€โ”€ Estimated designs needed: 500 backbones (to get ~50 passing QC)
โ”œโ”€โ”€ Estimated time: 8-12 hours total
โ”œโ”€โ”€ Estimated cost: ~$60 (Modal GPU compute)
โ””โ”€โ”€ Expected yield:
    โ”œโ”€โ”€ After backbone (500): 500 structures
    โ”œโ”€โ”€ After sequence (ร—8): 4,000 sequences
    โ”œโ”€โ”€ After validation: 4,000 predictions
    โ”œโ”€โ”€ After QC (~10-15%): 400-600 candidates
    โ””โ”€โ”€ After clustering: 10-20 diverse final designs

Complete pipeline generator

Standard miniprotein binder campaign

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Campaign Manager

  • What else does BioTender-max publish alongside Campaign Manager?

    Campaign Manager is one of 25 skills that DirSkills catalogs from BioTender-max/awesome-bio-agent-skills, the repository it ships in. Its siblings there include ATAC Seq, AlphaFold and BindCraft Binder Design. Each one is a separate skill with its own page in this directory, installs the same way Campaign Manager does, and is maintained by BioTender-max in that same repository. The rest of the collection is listed on the BioTender-max/awesome-bio-agent-skills page.

  • How does Campaign Manager compare to other AI Engineering skills?

    Campaign Manager ranks #3212 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Campaign Manager against them. Open each page to compare what they document and how they install.

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