start

Name: start
Author: anthropics

3.9kinstalls2.7kforks

How to install start?

anthropics/knowledge-work-plugins/start

$npx -y skills add anthropics/knowledge-work-plugins --skill start

Installs into the current project.

Summary

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

Files · 1

View on GitHub

SKILL.md

1	# Bio-Research Start
2
3	> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
4
5	You are helping a biological researcher get oriented with the bio-research plugin. Walk through the following steps in order.
6
7	## Step 1: Welcome
8
9	Display this welcome message:
10
11	```
12	Bio-Research Plugin
13
14	Your AI-powered research assistant for the life sciences. This plugin brings
15	together literature search, data analysis pipelines,
16	and scientific strategy — all in one place.
17	```
18
19	## Step 2: Check Available MCP Servers
20
21	Test which MCP servers are connected by listing available tools. Group the results:
22
23	Literature & Data Sources:
24	- ~~literature database — biomedical literature search
25	- ~~literature database — preprint access (biology and medicine)
26	- ~~journal access — academic publications
27	- ~~data repository — collaborative research data (Sage Bionetworks)
28
29	Drug Discovery & Clinical:
30	- ~~chemical database — bioactive compound database
31	- ~~drug target database — drug target discovery platform
32	- ClinicalTrials.gov — clinical trial registry
33	- ~~clinical data platform — clinical trial site ranking and platform help
34
35	Visualization & AI:
36	- ~~scientific illustration — create scientific figures and diagrams
37	- ~~AI research platform — AI for biology (histopathology, drug discovery)
38
39	Report which servers are connected and which are not yet set up.
40
41	## Step 3: Survey Available Skills
42
43	List the analysis skills available in this plugin:
44
45	\| Skill \| What It Does \|
46	\|-------\|-------------\|
47	\| Single-Cell RNA QC \| Quality control for scRNA-seq data with MAD-based filtering \|
48	\| scvi-tools \| Deep learning for single-cell omics (scVI, scANVI, totalVI, PeakVI, etc.) \|
49	\| Nextflow Pipelines \| Run nf-core pipelines (RNA-seq, WGS/WES, ATAC-seq) \|
50	\| Instrument Data Converter \| Convert lab instrument output to Allotrope ASM format \|
51	\| Scientific Problem Selection \| Systematic framework for choosing research problems \|
52
53	## Step 4: Optional Setup — Binary MCP Servers
54
55	Mention that two additional MCP servers are available as separate installations:
56
57	- ~~genomics platform — Access cloud analysis data and workflows
58	Install: Download `txg-node.mcpb` from https://github.com/10XGenomics/txg-mcp/releases
59	- ~~tool database (Harvard MIMS) — AI tools for scientific discovery
60	Install: Download `tooluniverse.mcpb` from https://github.com/mims-harvard/ToolUniverse/releases
61
62	These require downloading binary files and are optional.
63
64	## Step 5: Ask How to Help
65
66	Ask the researcher what they're working on today. Suggest starting points based on common workflows:
67
68	1. Literature review — "Search ~~literature database for recent papers on [topic]"
69	2. Analyze sequencing data — "Run QC on my single-cell data" or "Set up an RNA-seq pipeline"
70	3. Drug discovery — "Search ~~chemical database for compounds targeting [protein]" or "Find drug targets for [disease]"
71	4. Data standardization — "Convert my instrument data to Allotrope format"
72	5. Research strategy — "Help me evaluate a new project idea"
73
74	Wait for the user's response and guide them to the appropriate tools and skills.

People who liked this also viewed

6 picks

Type

start

3.9kinstalls2.7kforks

View on GitHub

How to install start?

anthropics/knowledge-work-plugins/start

$npx -y skills add anthropics/knowledge-work-plugins --skill start

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Bio-Research Start
2
3	> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
4
5	You are helping a biological researcher get oriented with the bio-research plugin. Walk through the following steps in order.
6
7	## Step 1: Welcome
8
9	Display this welcome message:
10
11	```
12	Bio-Research Plugin
13
14	Your AI-powered research assistant for the life sciences. This plugin brings
15	together literature search, data analysis pipelines,
16	and scientific strategy — all in one place.
17	```
18
19	## Step 2: Check Available MCP Servers
20
21	Test which MCP servers are connected by listing available tools. Group the results:
22
23	Literature & Data Sources:
24	- ~~literature database — biomedical literature search
25	- ~~literature database — preprint access (biology and medicine)
26	- ~~journal access — academic publications
27	- ~~data repository — collaborative research data (Sage Bionetworks)
28
29	Drug Discovery & Clinical:
30	- ~~chemical database — bioactive compound database
31	- ~~drug target database — drug target discovery platform
32	- ClinicalTrials.gov — clinical trial registry
33	- ~~clinical data platform — clinical trial site ranking and platform help
34
35	Visualization & AI:
36	- ~~scientific illustration — create scientific figures and diagrams
37	- ~~AI research platform — AI for biology (histopathology, drug discovery)
38
39	Report which servers are connected and which are not yet set up.
40
41	## Step 3: Survey Available Skills
42
43	List the analysis skills available in this plugin:
44
45	\| Skill \| What It Does \|
46	\|-------\|-------------\|
47	\| Single-Cell RNA QC \| Quality control for scRNA-seq data with MAD-based filtering \|
48	\| scvi-tools \| Deep learning for single-cell omics (scVI, scANVI, totalVI, PeakVI, etc.) \|
49	\| Nextflow Pipelines \| Run nf-core pipelines (RNA-seq, WGS/WES, ATAC-seq) \|
50	\| Instrument Data Converter \| Convert lab instrument output to Allotrope ASM format \|
51	\| Scientific Problem Selection \| Systematic framework for choosing research problems \|
52
53	## Step 4: Optional Setup — Binary MCP Servers
54
55	Mention that two additional MCP servers are available as separate installations:
56
57	- ~~genomics platform — Access cloud analysis data and workflows
58	Install: Download `txg-node.mcpb` from https://github.com/10XGenomics/txg-mcp/releases
59	- ~~tool database (Harvard MIMS) — AI tools for scientific discovery
60	Install: Download `tooluniverse.mcpb` from https://github.com/mims-harvard/ToolUniverse/releases
61
62	These require downloading binary files and are optional.
63
64	## Step 5: Ask How to Help
65
66	Ask the researcher what they're working on today. Suggest starting points based on common workflows:
67
68	1. Literature review — "Search ~~literature database for recent papers on [topic]"
69	2. Analyze sequencing data — "Run QC on my single-cell data" or "Set up an RNA-seq pipeline"
70	3. Drug discovery — "Search ~~chemical database for compounds targeting [protein]" or "Find drug targets for [disease]"
71	4. Data standardization — "Convert my instrument data to Allotrope format"
72	5. Research strategy — "Help me evaluate a new project idea"
73
74	Wait for the user's response and guide them to the appropriate tools and skills.

People who liked this also viewed

6 picks

Type