Collect new feedback from configured Slack and GitHub Issues sources, acknowledge receipt, analyze recordings, and verify claimed fixes against the default branch. Combine unresolved items into a rolling plan ready for the lfg workflow.
- Collecting feedback from Slack and GitHub Issues
- Analyzing recordings attached to feedback
- Verifying that reported fixes were merged
EveryInc/compound-engineering-plugin☆ 25.6KUpdated Oct 19, 2026
Turn a vague feature idea into clear requirements through dialogue. Define what to build, its scope, and success criteria, then capture the result in a short chat summary or a requirements document ready for implementation planning.
- Clarifying a vague feature idea
- Narrowing the scope of an ambitious improvement
- Documenting requirements before implementation planning
EveryInc/compound-engineering-plugin☆ 25.6KUpdated Oct 19, 2026
Reproduce chat errors, retries, parallel tool calls, and app creation in a running desktop application. Check how messages and cards appear, including interrupted replies, grouped steps, and error details.
- Check error messages and retry progress
- Inspect text retained after an interrupted reply
- Review grouped parallel tool calls
different-ai/openwork☆ 24.2KUpdated Oct 19, 2026
Set up the OpenWork assistant in Slack for an approved private-alpha organization using its existing app and individual account connections. Configure permissions and reply settings, link the requesting member, and verify completed answers in DMs and allowed channels.
- Setting up @openwork in a Slack workspace
- Linking a member's Slack and OpenWork accounts
- Configuring allowed channels and reply visibility
different-ai/openwork☆ 24.2KUpdated Oct 19, 2026
Build n8n workflows that download, transform, and send files without losing their contents. Learn how file data differs from JSON, how to preserve attachments, and how to use storage keys or URLs with AI tools and chat messages.
- Fixing attachments lost during data transformation
- Passing uploaded files to AI agent tools
- Displaying generated images in chat
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Add error handling to n8n workflows with connected error outputs, retries, and failure notifications. Return HTTP status codes that explain what went wrong, distinguish invalid requests from service failures, and keep internal error details out of public responses.
- Investigating workflows that fail without notification
- Returning clear errors from webhook APIs
- Retrying temporary network failures
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Write and troubleshoot n8n expressions, the formulas that pass and transform data between workflow steps. Covers field references, webhook inputs, dates, strings, and choosing between expressions and Code nodes for data transformations.
- Fixing expression syntax errors
- Using webhook data in downstream steps
- Formatting dates and strings
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Interpret n8n validation results and work through fixes for missing settings, broken references, and expression errors. Distinguishes blocking errors from advisory warnings, explains validation profiles, and guides review of automatic fixes and execution failures.
- Understanding validation errors
- Deciding which warnings need attention
- Choosing a validation profile
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.
- Checking required fields when changing a node operation
- Finding why a configuration field is hidden
- Editing part of a long code or text field
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.
- Building a chatbot with conversation memory
- Connecting external tools to an AI agent
- Returning data in a defined JSON format
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Design n8n automations for incoming events, API connections, database synchronization, AI agents, scheduled tasks, and batch processing. Choose a suitable structure, plan error handling, check connections, test results, and review performance when processing large numbers of items.
- Sending form submissions to Slack
- Generating and emailing scheduled reports
- Synchronizing records between databases
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Use n8n-mcp tools to find workflow steps, check settings, and create or update automations. Provides guidance on tool arguments, templates, folders, credentials, and security audits so agents can choose appropriate operations.
- Finding nodes and checking their settings
- Creating and updating workflows
- Finding and deploying workflow templates
czlonkowski/n8n-mcp☆ 23.1KUpdated Oct 19, 2026
Clean up GitHub issue and pull request titles by removing bracketed NemoClaw tags. It previews proposed changes, applies them after approval, and checks for remaining matches while preserving other tags and plain-text mentions.
- Removing bracketed NemoClaw tags from titles in bulk
- Previewing title changes before applying them
- Limiting cleanup to open or closed items
NVIDIA/NemoClaw☆ 22.8KUpdated Oct 19, 2026
Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.
- Reviewing daily app use and active screen time
- Finding decisions in recorded meetings
- Searching history from a synced device
screenpipe/screenpipe☆ 22KUpdated Oct 19, 2026
Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.
- Creating scheduled AI automations
- Enabling or disabling existing automations
- Investigating failures through execution logs
screenpipe/screenpipe☆ 22KUpdated Oct 19, 2026
Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.
- Set up continuous screen and audio recording
- Diagnose recording and storage issues
- Search recorded screen and audio history
screenpipe/screenpipe☆ 22KUpdated Oct 19, 2026
Creates Terraform configuration for Google Cloud Monitoring notification channels, including email, Slack, and Pub/Sub, and attaches channels to existing alert policies. It also checks Pub/Sub topic compatibility and publishing permissions when inspecting the cloud environment.
- Configuring email or Slack alert notifications
- Adding notification channels to existing alert policies
- Checking Pub/Sub topic compatibility and publishing permissions
google/skills☆ 21.4KUpdated Oct 20, 2026
Manage a Kortix project from the terminal: start and monitor agent sessions, store secrets, open change requests for review, and call connected services. The skill points agents to the current command reference for detailed operations.
- Start agent sessions and collect their deliverables
- Manage project secrets and connected services
- Open a change request for user review
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Present travel plans, product choices, and numerical data directly in Kortix chat using photo-based steps, cards, maps, tables, and charts. The skill selects a visual format suited to each part of the answer.
- Showing a first-time travel itinerary with photos and maps
- Comparing hotels or products in cards
- Turning preparation lists into checklists
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Track tests that pass and fail on unchanged code using GitHub CI history. Score their instability over multiple runs, propose reasoned skips in a pull request, maintain a tracking issue, and summarize findings in Slack.
- Investigate tests that alternate between passing and failing
- Propose temporary skips with evidence and reasons
- Track quarantined tests in one GitHub issue
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Check open GitHub pull requests for overdue reviews, inactivity, and requested changes without an author response. Send a single Slack summary identifying blockers and the people responsible for the next step, while leaving GitHub unchanged.
- Checking review deadlines each morning
- Finding inactive pull requests
- Identifying requested changes awaiting an author response
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Prepare new hires' onboarding from Google Workspace group records and documented role standards. Plan accounts and memberships, invite hires to Slack channels, and create first-week Linear checklists, while holding Workspace access changes for human approval.
- Prepare accounts and first-week tasks before a new hire starts
- Choose groups and Slack channels using role and team standards
- Track account creation and memberships awaiting approval
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Check new vendors’ tax forms, banking forms, and signed contracts against a shared checklist. Record document status, draft requests for corrections, and summarize results in Slack while leaving approval and payment setup to people.
- Check documents submitted by new vendors
- Draft requests for missing or invalid documents
- Recheck a vendor’s document status
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026
Analyze customer recommendation and satisfaction surveys, NPS and CSAT, from Google Sheets. Group comments into themes, explain weekly score changes and low-score drivers, and post a Slack digest with representative quotes without modifying survey data.
- Summarizing customer surveys each week
- Identifying recurring complaints behind low scores
- Comparing NPS or CSAT with the previous period
kortix-ai/suna☆ 20.3KUpdated Oct 19, 2026