1188 个 ・ 集成工具: Slack · 按人气排序
Plan technology investments and engineering team growth using structured assessments. Evaluate technical debt, compare building versus buying, document architecture choices, and define engineering health metrics to produce prioritized plans grounded in costs, risks, and business needs.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Prepare social post drafts from upcoming Notion calendar entries for LinkedIn, X, and Instagram. Group them with scheduled dates in Slack for human review, and mark drafted entries to prevent duplicates. It never publishes social posts.
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Create weekly reports from Postgres metrics, comparing current figures with recent weeks. Add plain-language explanations for notable changes, flag missing data, and post one report to Slack while keeping database access read-only.
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