Noisely (noise.ly) platform help — AI feedback-tracking & product-intelligence tool that aggregates customer feedback from 23+ sources (reviews, app stores, Reddit/HN/GitHub, Zendesk/Intercom, CSV), auto-categorizes into 12 types, scores sentiment + urgency/impact, clusters similar mentions into ranked 'action items', and spike-detects. Pushes to 10 channels (Slack, Linear, Jira, Notion, Google Sheets, Email, Webhooks...). No public REST API documented — the developer surface is outbound webhooks + native integrations + CSV; AI analyses are a monthly credit limit. Use when wiring action-items or spike alerts to your tools via webhook, choosing which sources to monitor, clustering/deduping feedback, reading sentiment or urgency, exporting to a sheet/ticket, or picking Try vs Pro vs Custom. Do NOT use for survey/VoC program strategy across tools (use /sales-customer-feedback), public review collection (use /sales-customer-reviews), or broad brand/social listening (use /sales-social-listening).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategorySalesStars0
About this skill
Noisely (noise.ly) platform help — AI feedback-tracking & product-intelligence tool that aggregates customer feedback from 23+ sources (reviews, app stores, Reddit/HN/GitHub, Zendesk/Intercom, CSV), auto-categorizes into 12 types, scores sentiment + urgency/impact, clusters similar mentions into ranked 'action items', and spike-detects. Pushes to 10 channels (Slack, Linear, Jira, Notion, Google Sheets, Email, Webhooks...). No public REST API documented — the developer surface is outbound webhooks + native integrations + CSV; AI analyses are a monthly credit limit. Use when wiring action-items or spike alerts to your tools via webhook, choosing which sources to monitor, clustering/deduping feedback, reading sentiment or urgency, exporting to a sheet/ticket, or picking Try vs Pro vs Custom. Do NOT use for survey/VoC program strategy across tools (use /sales-customer-feedback), public review collection (use /sales-customer-reviews), or broad brand/social listening (use /sales-social-listening).
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Noisely (noise.ly) platform help — AI feedback-tracking & product-intelligence tool that aggregates customer feedback from 23+ sources (reviews, app stores, Reddit/HN/GitHub, Zendesk/Intercom, CSV), auto-categorizes into 12 types, scores sentiment + urgency/impact, clusters similar mentions into ranked 'action items', and spike-detects. Pushes to 10 channels (Slack, Linear, Jira, Notion, Google Sheets, Email, Webhooks…). No public REST API documented — the developer surface is outbound webhooks + native integrations + CSV; AI analyses are a monthly credit limit. Use when wiring action-items or spike alerts to your tools via webhook, choosing which sources to monitor, clustering/deduping feedback, reading sentiment or urgency, exporting to a sheet/ticket, or picking Try vs Pro vs Custom. Do NOT use for survey/VoC program strategy across tools (use /sales-customer-feedback), public review collection (use /sales-customer-reviews), or broad brand/social listening (use /sales-social-listening).
About this listing
Category
Sales
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI