afrexai-postmortemGenerates structured blameless incident postmortems from raw notes, producing summaries, timelines, root cause analyses, impacts, action items, and preventio...
Install via ClawdBot CLI:
clawdbot install 1kalin/afrexai-postmortemGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://afrexai-cto.github.io/context-packs/Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
During peak Black Friday traffic, the checkout service fails due to a database connection pool exhaustion, causing a 1.5-hour outage. This scenario requires analyzing high-volume transaction logs and user impact to generate a postmortem with revenue loss estimates and action items for scalability improvements.
A software bug in a healthcare platform's scheduling module causes appointment data corruption, affecting 40% of users for 45 minutes. The postmortem must assess patient safety risks, compliance with HIPAA regulations, and implement blameless root cause analysis to prevent recurrence in a sensitive environment.
A microservices deployment introduces latency in payment processing, degrading performance for 25% of users over 30 minutes. This scenario involves analyzing system metrics and user reports to create a postmortem focusing on performance monitoring gaps and prioritized fixes for financial transaction reliability.
A CDN configuration error leads to intermittent video streaming failures for 20% of subscribers during a major live event. The postmortem generation requires timeline reconstruction from monitoring tools and impact assessment on user retention, with action items for redundancy measures.
An API rate limit misconfiguration causes data synchronization failures between a CRM and external tools, affecting 500 enterprise users for 2 hours. This scenario demands root cause analysis using system logs and generating prevention measures for API management and error handling.
Companies offering cloud-based incident management tools on a monthly or annual subscription. This model benefits from recurring revenue and upselling premium features like advanced analytics or integration capabilities, aligning with the skill's focus on continuous postmortem generation for operational improvement.
Firms providing customized incident response and SRE framework implementations for large organizations. This model leverages the skill to deliver tailored postmortem processes, with revenue from project-based fees and ongoing support contracts, enhancing client operational resilience.
A free basic version of the postmortem generator to attract users, with paid upgrades for advanced features like AI-driven insights or team collaboration tools. This model drives adoption through the skill's core functionality while monetizing enhanced capabilities for power users.
💬 Integration Tip
Integrate this skill with monitoring tools like Datadog or Slack to automatically pull incident data, streamlining postmortem creation and ensuring consistency across teams.
Scored Apr 19, 2026
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
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YouTube Data API integration with managed OAuth. Search videos, manage playlists, access channel data, and interact with comments. Use this skill when users...