Skill UI

A lightweight, read-only utility that analyzes past skill usage from decision logs. It aggregates skill co-occurrence frequencies, tracks meta-skill usage statistics, and surfaces router fixture data. The resulting JSON summary is highly structured and ideal for downstream LLM consumption, enabling users to understand their workflow patterns and most frequently used skills over time.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).

Transform raw meeting transcripts, call notes, or chat logs (from Zoom, Teams, etc.) into professional, structured summaries. This tool automatically extracts key decisions, identifies open risks, and generates actionable item lists with clear owners and proposed due dates, making outputs ready for immediate sharing.

This meta-skill transforms raw ideas, research notes, or documents into structured, multi-platform content drafts. It orchestrates a complete content pipeline, generating optimized drafts for blogs, social media (Xiaohongshu, Zhihu), newsletters, video scripts, and slides, ensuring content consistency across various marketing channels.

Use the Composio CLI to automate the entire Pull Request review and Continuous Integration (CI) triage process for GitHub and GitLab. This tool fetches code diffs, analyzes failure logs, posts detailed inline review comments, and iteratively patches and re-runs CI checks until the code passes, significantly enhancing code quality and developer efficiency.

This comprehensive workflow analyzes the health status of various AWS resources (EC2, Lambda, RDS, DynamoDB, etc.). It uses AWS CLI to diagnose potential issues by analyzing CloudWatch logs, metrics, and performance data. The process culminates in classifying root causes and generating actionable, tiered remediation plans (Immediate, Short-term, Long-term) to ensure system resilience and stability.

This tool parses raw, complex error logs, stack traces, and crash reports into a highly structured and actionable diagnosis. It goes beyond simple error reporting to identify the probable root cause, analyze the affected code path, and provide concrete, code-level fix suggestions and ordered next debugging steps. Ideal for developers facing critical production bugs or unexplained application crashes.

This skill applies the RICE framework (Reach, Impact, Confidence, Effort) to objectively score and rank product initiatives. It helps teams prioritize backlogs, plan quarters, and compare multiple competing ideas by providing a structured, data-driven ranking. The output identifies quick wins, high-risk moonshots, and critical data gaps for validation.

This skill uses Python and boto3 to analyze AWS CloudTrail logs. It establishes statistical baselines of normal API activity and detects various anomalies, such as unusual event sources, first-time API usage, geographic IP deviations, and high-frequency calls. This is critical for identifying credential compromise, privilege escalation, and unauthorized resource access in a security incident.

This skill provides comprehensive guidance on detecting post-exploitation credential dumping activities, such as LSASS memory access, SAM registry hive extraction, and NTDS.dit theft. It utilizes advanced log sources, including Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and SIEM correlation rules, to identify suspicious process behaviors and malicious tool usage, mapping these detections to MITRE ATT&CK techniques.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

This skill details how to monitor Certificate Transparency (CT) logs using industry tools like crt.sh and Certstream. By analyzing publicly issued SSL/TLS certificates, users can proactively detect lookalike domains, unauthorized certificate issuance for owned assets, and early-stage phishing infrastructure targeting their organization. Ideal for SOC analysts and threat hunters.