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Bio task system

Skill BioTender-max/awesome-bio-agent-skills/skills/bioclaw/bio-task-system

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.From the repository description

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill bio-task-system

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SKILL.md

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bio-task-system

Step 2: Task system design (任务体系构建)

Identify the main task categories in the field and organize them into a staged difficulty ladder.

Purpose

  1. Find the dominant task taxonomy in the target field
  2. Define Level 1-4 task tiers
  3. Ensure the task ladder increases in difficulty
  4. Prepare the task system for downstream dataset and metric design

Input Format

topic: [research topic]
paper_count: [number of related papers from Step 1]

Workflow

Step 2.1: Task taxonomy search

If there is substantial prior work, extract tasks from existing papers.

If there is not enough prior work, borrow the taxonomy from a parent domain and adapt it.

Typical adaptation logic:

  • single-cell multi-omics -> spatial multi-omics
  • modality alignment -> spatial-cell alignment
  • batch integration -> cross-sample integration

Step 2.2: Task tier design

Define four levels:

  • Level 1: basic validation task
  • Level 2: intermediate application task
  • Level 3: challenge task
  • Level 4: flagship innovation task

Increase across three dimensions:

  1. Data complexity
  2. Technical difficulty
  3. Biological value

Step 2.3: Standardize task descriptions

For each task, write:

  • definition
  • difficulty level
  • data requirements
  • technical focus
  • biological value
  • representative methods
  • mapped figure

Output Format

# Task System Design

## Task Sources
- Extracted from related papers:
- Borrowed from parent domain:

## Tier Overview
| Level | Task type | Difficulty | Figure |
|-------|-----------|------------|--------|
| 1 | ... | low | Figure 2 |
| 2 | ... | medium | Figure 3 |
| 3 | ... | high | Figure 4 |
| 4 | ... | highest | Figure 5 |

## Detailed Task Descriptions

### Task 1: [task name]
- Definition:
- Difficulty:
- Data requirements:
- Technical focus:
- Biological value:
- Representative methods:
- Mapped figure:

### Task 2: ...

## Progression Rationale
1. Data complexity rises across tasks
2. Technical difficulty rises across tasks
3. Biological value rises across tasks

## Next Step
- Use the task system to search for datasets in Step 3

Example Ladder

  • Level 1: vertical integration
  • Level 2: horizontal / cross-slice integration
  • Level 3: mosaic integration with missing modalities
  • Level 4: diagonal integration across platform / resolution / cohort

Usage

/bio-task-system "spatial multi-omics integration | paper_count: 5"

Notes

  1. Keep the ladder interpretable to reviewers.
  2. Avoid adding too many tasks; four well-designed tiers are usually enough.
  3. Make sure each task can later be tied to datasets, metrics, and figures.

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