protocolsio-integration▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### Protocolsio Integration
- ›name: "protocolsio-integration"
- ›description: "Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and..."
| name | protocolsio-integration |
| description | Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation. |
| license | Unknown |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
Protocols.io Integration
Overview
Protocols.io is a comprehensive platform for developing, sharing, and managing scientific protocols. This skill provides complete integration with the protocols.io API v3, enabling programmatic access to protocols, workspaces, discussions, file management, and collaboration features.
When to Use This Skill
Use this skill when working with protocols.io in any of the following scenarios:
- Protocol Discovery: Searching for existing protocols by keywords, DOI, or category
- Protocol Management: Creating, updating, or publishing scientific protocols
- Step Management: Adding, editing, or organizing protocol steps and procedures
- Collaborative Development: Working with team members on shared protocols
- Workspace Organization: Managing lab or institutional protocol repositories
- Discussion & Feedback: Adding or responding to protocol comments
- File Management: Uploading data files, images, or documents to protocols
- Experiment Tracking: Documenting protocol executions and results
- Data Export: Backing up or migrating protocol collections
- Integration Projects: Building tools that interact with protocols.io
Core Capabilities
This skill provides comprehensive guidance across five major capability areas:
1. Authentication & Access
Manage API authentication using access tokens and OAuth flows. Includes both client access tokens (for personal content) and OAuth tokens (for multi-user applications).
Key operations:
- Generate authorization links for OAuth flow
- Exchange authorization codes for access tokens
- Refresh expired tokens
- Manage rate limits and permissions
Reference: Read references/authentication.md for detailed authentication procedures, OAuth implementation, and security best practices.
2. Protocol Operations
Complete protocol lifecycle management from creation to publication.
Key operations:
- Search and discover protocols by keywords, filters, or DOI
- Retrieve detailed protocol information with all steps
- Create new protocols with metadata and tags
- Update protocol information and settings
- Manage protocol steps (create, update, delete, reorder)
- Handle protocol materials and reagents
- Publish protocols with DOI issuance
- Bookmark protocols for quick access
- Generate protocol PDFs
Reference: Read references/protocols_api.md for comprehensive protocol management guidance, including API endpoints, parameters, common workflows, and examples.
3. Discussions & Collaboration
Enable community engagement through comments and discussions.
Key operations:
- View protocol-level and step-level comments
- Create new comments and threaded replies
- Edit or delete your own comments
- Analyze discussion patterns and feedback
- Respond to user questions and issues
Reference: Read references/discussions.md for discussion management, comment threading, and collaboration workflows.
4. Workspace Management
Organize protocols within team workspaces with role-based permissions.
Key operations:
- List and access user workspaces
- Retrieve workspace details and member lists
- Request access or join workspaces
- List workspace-specific protocols
- Create protocols within workspaces
- Manage workspace permissions and collaboration
Reference: Read references/workspaces.md for workspace organization, permission management, and team collaboration patterns.
5. File Operations
Upload, organize, and manage files associated with protocols.
Key operations:
- Search workspace files and folders
- Upload files with metadata and tags
- Download files and verify uploads
- Organize files into folder hierarchies
- Update file metadata
- Delete and restore files
- Manage storage and organization
Reference: Read references/file_manager.md for file upload procedures, organization strategies, and storage management.
6. Additional Features
Supplementary functionality including profiles, notifications, and exports.
Key operations:
- Manage user profiles and settings
- Query recently published protocols
- Create and track experiment records
- Receive and manage notifications
- Export organization data for archival
Reference: Read references/additional_features.md for profile management, publication discovery, experiment tracking, and data export.
Getting Started
Step 1: Authentication Setup
Before using any protocols.io API functionality:
- Obtain an access token (CLIENT_ACCESS_TOKEN or OAUTH_ACCESS_TOKEN)
- Read
references/authentication.mdfor detailed authentication procedures - Store the token securely
- Include in all requests as:
Authorization: Bearer YOUR_TOKEN
Step 2: Identify Your Use Case
Determine which capability area addresses your needs:
- Working with protocols? → Read
references/protocols_api.md - Managing team protocols? → Read
references/workspaces.md - Handling comments/feedback? → Read
references/discussions.md - Uploading files/data? → Read
references/file_manager.md - Tracking experiments or profiles? → Read
references/additional_features.md
Step 3: Implement Integration
Follow the guidance in the relevant reference files:
- Each reference includes detailed endpoint documentation
- API parameters and request/response formats are specified
- Common use cases and workflows are provided with examples
- Best practices and error handling guidance included
Base URL and Request Format
All API requests use the base URL:
https://protocols.io/api/v3
All requests require the Authorization header:
Authorization: Bearer YOUR_ACCESS_TOKEN
Most endpoints support JSON request/response format with Content-Type: application/json.
Content Format Options
Many endpoints support a content_format parameter to control how protocol content is returned:
json: Draft.js JSON format (default)html: HTML formatmarkdown: Markdown format
Include as query parameter: ?content_format=html
Rate Limiting
Be aware of API rate limits:
- Standard endpoints: 100 requests per minute per user
- PDF endpoint: 5 requests/minute (signed-in), 3 requests/minute (unsigned)
Implement exponential backoff for rate limit errors (HTTP 429).
Common Workflows
Workflow 1: Import and Analyze Protocol
To analyze an existing protocol from protocols.io:
- Search: Use
GET /protocolswith keywords to find relevant protocols - Retrieve: Get full details with
GET /protocols/{protocol_id} - Extract: Parse steps, materials, and metadata for analysis
- Review discussions: Check
GET /protocols/{id}/commentsfor user feedback - Export: Generate PDF if needed for offline reference
Reference files: protocols_api.md, discussions.md
Workflow 2: Create and Publish Protocol
To create a new protocol and publish with DOI:
- Authenticate: Ensure you have valid access token (see
authentication.md) - Create: Use
POST /protocolswith title and description - Add steps: For each step, use
POST /protocols/{id}/steps - Add materials: Document reagents in step components
- Review: Verify all content is complete and accurate
- Publish: Issue DOI with
POST /protocols/{id}/publish
Reference files: protocols_api.md, authentication.md
Workflow 3: Collaborative Lab Workspace
To set up team protocol management:
- Create/join workspace: Access or request workspace membership (see
workspaces.md) - Organize structure: Create folder hierarchy for lab protocols (see
file_manager.md) - Create protocols: Use
POST /workspaces/{id}/protocolsfor team protocols - Upload files: Add experimental data and images
- Enable discussions: Team members can comment and provide feedback
- Track experiments: Document protocol executions with experiment records
Reference files: workspaces.md, file_manager.md, protocols_api.md, discussions.md, additional_features.md
Workflow 4: Experiment Documentation
To track protocol executions and results:
- Execute protocol: Perform protocol in laboratory
- Upload data: Use File Manager API to upload results (see
file_manager.md) - Create record: Document execution with
POST /protocols/{id}/runs - Link files: Reference uploaded data files in experiment record
- Note modifications: Document any protocol deviations or optimizations
- Analyze: Review multiple runs for reproducibility assessment
Reference files: additional_features.md, file_manager.md, protocols_api.md
Workflow 5: Protocol Discovery and Citation
To find and cite protocols in research:
- Search: Query published protocols with
GET /publications - Filter: Use category and keyword filters for relevant protocols
- Review: Read protocol details and community comments
- Bookmark: Save useful protocols with
POST /protocols/{id}/bookmarks - Cite: Use protocol DOI in publications (proper attribution)
- Export PDF: Generate formatted PDF for offline reference
Reference files: protocols_api.md, additional_features.md
Python Request Examples
Basic Protocol Search
import requests
token = "YOUR_ACCESS_TOKEN"
headers = {"Authorization": f"Bearer {token}"}
# Search for CRISPR protocols
response = requests.get(
"https://protocols.io/api/v3/protocols",
headers=headers,
params={
"filter": "public",
"key": "CRISPR",
"page_size": 10,
"content_format": "html"
}
)
protocols = response.json()
for protocol in protocols["items"]:
print(f"{protocol['title']} - {protocol['doi']}")
Create New Protocol
import requests
token = "YOUR_ACCESS_TOKEN"
headers = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json"
}
# Create protocol
data = {
"title": "CRISPR-Cas9 Gene Editing Protocol",
"description": "Comprehensive protocol for CRISPR gene editing",
"tags": ["CRISPR", "gene editing", "molecular biology"]
}
response = requests.post(
"https://protocols.io/api/v3/protocols",
headers=headers,
json=data
)
protocol_id = response.json()["item"]["id"]
print(f"Created protocol: {protocol_id}")
Upload File to Workspace
import requests
token = "YOUR_ACCESS_TOKEN"
headers = {"Authorization": f"Bearer {token}"}
# Upload file
with open("data.csv", "rb") as f:
files = {"file": f}
data = {
"folder_id": "root",
"description": "Experimental results",
"tags": "experiment,data,2025"
}
response = requests.post(
"https://protocols.io/api/v3/workspaces/12345/files/upload",
headers=headers,
files=files,
data=data
)
file_id = response.json()["item"]["id"]
print(f"Uploaded file: {file_id}")
Error Handling
Implement robust error handling for API requests:
import requests
import time
def make_request_with_retry(url, headers, max_retries=3):
for attempt in range(max_retries):
try:
response = requests.get(url, headers=headers)
if response.status_code == 200:
return response.json()
elif response.status_code == 429: # Rate limit
retry_after = int(response.headers.get('Retry-After', 60))
time.sleep(retry_after)
continue
elif response.status_code >= 500: # Server error
time.sleep(2 ** attempt) # Exponential backoff
continue
else:
response.raise_for_status()
except requests.exceptions.RequestException as e:
if attempt == max_retries - 1:
raise
time.sleep(2 ** attempt)
raise Exception("Max retries exceeded")
Reference Files
Load the appropriate reference file based on your task:
authentication.md: OAuth flows, token management, rate limitingprotocols_api.md: Protocol CRUD, steps, materials, publishing, PDFsdiscussions.md: Comments, replies, collaborationworkspaces.md: Team workspaces, permissions, organizationfile_manager.md: File upload, folders, storage managementadditional_features.md: Profiles, publications, experiments, notifications
To load a reference file, read the file from the references/ directory when needed for specific functionality.
Best Practices
- Authentication: Store tokens securely, never in code or version control
- Rate Limiting: Implement exponential backoff and respect rate limits
- Error Handling: Handle all HTTP error codes appropriately
- Data Validation: Validate input before API calls
- Documentation: Document protocol steps thoroughly
- Collaboration: Use comments and discussions for team communication
- Organization: Maintain consistent naming and tagging conventions
- Versioning: Track protocol versions when making updates
- Attribution: Properly cite protocols using DOIs
- Backup: Regularly export important protocols and workspace data
Additional Resources
- Official API Documentation: https://apidoc.protocols.io/
- Protocols.io Platform: https://www.protocols.io/
- Support: Contact protocols.io support for API access and technical issues
- Community: Engage with protocols.io community for best practices
Troubleshooting
Authentication Issues:
- Verify token is valid and not expired
- Check Authorization header format:
Bearer YOUR_TOKEN - Ensure appropriate token type (CLIENT vs OAUTH)
Rate Limiting:
- Implement exponential backoff for 429 errors
- Monitor request frequency
- Consider caching frequent requests
Permission Errors:
- Verify workspace/protocol access permissions
- Check user role in workspace
- Ensure protocol is not private if accessing without permission
File Upload Failures:
- Check file size against workspace limits
- Verify file type is supported
- Ensure multipart/form-data encoding is correct
For detailed troubleshooting guidance, refer to the specific reference files covering each capability area.
How to use protocolsio-integration on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add protocolsio-integration
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches protocolsio-integration from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate protocolsio-integration. Access the skill through slash commands (e.g., /protocolsio-integration) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★70 reviews- ★★★★★Kiara Choi· Dec 24, 2024
protocolsio-integration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Fatima Thompson· Dec 20, 2024
Keeps context tight: protocolsio-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Dec 16, 2024
Keeps context tight: protocolsio-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sophia Mensah· Dec 16, 2024
Useful defaults in protocolsio-integration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dev Ndlovu· Dec 12, 2024
protocolsio-integration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dev Flores· Dec 8, 2024
Solid pick for teams standardizing on skills: protocolsio-integration is focused, and the summary matches what you get after install.
- ★★★★★Sophia Smith· Nov 27, 2024
I recommend protocolsio-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Benjamin Robinson· Nov 15, 2024
protocolsio-integration reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yusuf Jackson· Nov 11, 2024
Registry listing for protocolsio-integration matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 7, 2024
Registry listing for protocolsio-integration matched our evaluation — installs cleanly and behaves as described in the markdown.
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