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Agent skills
ai-agents

Topic: ai-agents

18,135 skills in this topic.

securing-azure-with-microsoft-defender This skill instructs security practitioners on deploying Microsoft Defender for Cloud as a cloud-native application protection platform for Azure, multi-cloud, and hybrid environments. It covers enabling Defender plans for servers, containers, storage, and databases, configuring security recommendations, managing Secure Score, and integrating with the unified Defender portal for centralized threat management.
mukul975/Anthropic-Cybersecurity-Skills 4,300
performing-wifi-password-cracking-with-aircrack Captures WPA/WPA2 handshakes and performs offline password cracking using aircrack-ng, hashcat, and dictionary attacks during authorized wireless security assessments to evaluate passphrase strength and wireless network security posture.
mukul975/Anthropic-Cybersecurity-Skills 4,300
deploying-osquery-for-endpoint-monitoring Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying.
mukul975/Anthropic-Cybersecurity-Skills 4,300
performing-memory-forensics-with-volatility3 Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity.
mukul975/Anthropic-Cybersecurity-Skills 4,300
performing-ssl-tls-inspection-configuration Configure SSL/TLS inspection on network security devices to decrypt, inspect, and re-encrypt HTTPS traffic for threat detection while managing certificates, exemptions, and privacy compliance.
mukul975/Anthropic-Cybersecurity-Skills 4,300
detecting-lateral-movement-with-splunk Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
mukul975/Anthropic-Cybersecurity-Skills 4,300
performing-malware-ioc-extraction Malware IOC extraction is the process of analyzing malicious software to identify actionable indicators of compromise including file hashes, network indicators (C2 domains, IP addresses, URLs), regist
mukul975/Anthropic-Cybersecurity-Skills 4,300
implementing-memory-protection-with-dep-aslr Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening endpoints against buffer overflow exploits, ROP chains, and code injection. Activates for requests involving memory protection, exploit mitigation, DEP, ASLR, or CFG configuration.
mukul975/Anthropic-Cybersecurity-Skills 4,300
reverse-engineering-malware-with-ghidra Reverse engineers malware binaries using NSA's Ghidra disassembler and decompiler to understand internal logic, cryptographic routines, C2 protocols, and evasion techniques at the assembly and pseudo-C level. Activates for requests involving malware reverse engineering, disassembly analysis, decompilation, binary analysis, or understanding malware internals.
mukul975/Anthropic-Cybersecurity-Skills 4,300
exploiting-broken-function-level-authorization Tests APIs for Broken Function Level Authorization (BFLA) vulnerabilities where regular users can invoke administrative functions or access privileged API endpoints by directly calling them. The tester identifies admin and privileged endpoints, then attempts to access them with regular user credentials by manipulating HTTP methods, URL paths, and request parameters. Maps to OWASP API5:2023 Broken Function Level Authorization. Activates for requests involving BFLA testing, admin endpoint bypass, function-level access control testing, or API privilege escalation.
mukul975/Anthropic-Cybersecurity-Skills 4,300
implementing-network-traffic-baselining Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling
mukul975/Anthropic-Cybersecurity-Skills 4,300
implementing-cloud-trail-log-analysis Implementing AWS CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.
mukul975/Anthropic-Cybersecurity-Skills 4,300
performing-red-team-with-covenant Conduct red team operations using the Covenant C2 framework for authorized adversary simulation, including listener setup, grunt deployment, task execution, and lateral movement tracking.
mukul975/Anthropic-Cybersecurity-Skills 4,300
exploiting-nopac-cve-2021-42278-42287 Exploit the noPac vulnerability chain (CVE-2021-42278 sAMAccountName spoofing and CVE-2021-42287 KDC PAC confusion) to escalate from standard domain user to Domain Admin in Active Directory environments.
mukul975/Anthropic-Cybersecurity-Skills 4,300
exploiting-ms17-010-eternalblue-vulnerability MS17-010 (EternalBlue) is a critical vulnerability in Microsoft's SMBv1 implementation that allows remote code execution. Originally discovered by the NSA and leaked by the Shadow Brokers in 2017, it
mukul975/Anthropic-Cybersecurity-Skills 4,300
exploiting-template-injection-vulnerabilities Detecting and exploiting Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution.
mukul975/Anthropic-Cybersecurity-Skills 4,300
implementing-network-deception-with-honeypots Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.
mukul975/Anthropic-Cybersecurity-Skills 4,300
implementing-network-segmentation-for-ot This skill covers implementing network segmentation in Operational Technology environments using VLANs, industrial firewalls, data diodes, and software-defined networking. It addresses the Purdue Model-based segmentation strategy, migration from flat networks to segmented architectures without disrupting operations, configuring OT-aware firewalls with industrial protocol deep packet inspection, and validating segmentation effectiveness through traffic analysis.
mukul975/Anthropic-Cybersecurity-Skills 4,300
architecture-design Use only when creating new registrable ML components that require Factory or Registry patterns.
Galaxy-Dawn/claude-scholar 3,201
bug-detective This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
Galaxy-Dawn/claude-scholar 3,201
citation-verification This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.
Galaxy-Dawn/claude-scholar 3,201
code-review-excellence This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
Galaxy-Dawn/claude-scholar 3,201
daily-coding Use for everyday coding tasks that involve writing or modifying source code.
Galaxy-Dawn/claude-scholar 3,201
command-development This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
Galaxy-Dawn/claude-scholar 3,201