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implementing-immutable-backup-with-restic

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autohandai
autohandai
103

implementing-network-policies-for-kubernetes

Kubernetes NetworkPolicies provide pod-level network segmentation by defining ingress and egress rules that control traffic flow between pods, namespaces, and external endpoints. Combined with CNI plu

autohandai
autohandai
103

implementing-infrastructure-as-code-security-scanning

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autohandai
autohandai
103

implementing-network-segmentation-for-ot

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autohandai
autohandai
103

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

autohandai
autohandai
103

implementing-next-generation-firewall-with-palo-alto

Configure and deploy Palo Alto Networks next-generation firewalls with App-ID, User-ID, zone-based policies, SSL decryption, and threat prevention profiles for enterprise network security.

autohandai
autohandai
103

implementing-opa-gatekeeper-for-policy-enforcement

Enforce Kubernetes admission policies using OPA Gatekeeper with ConstraintTemplates, Rego rules, and the Gatekeeper policy library.

autohandai
autohandai
103

implementing-osquery-for-endpoint-monitoring

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autohandai
autohandai
103

implementing-ot-incident-response-playbook

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autohandai
autohandai
103

implementing-ot-network-traffic-analysis-with-nozomi

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autohandai
autohandai
103

implementing-pam-for-database-access

Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL. Covers session proxy configuration, credential vaulting, query auditing, dynamic credentia

autohandai
autohandai
103

implementing-passwordless-auth-with-microsoft-entra

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autohandai
autohandai
103

implementing-passwordless-authentication-with-fido2

Deploy FIDO2/WebAuthn passwordless authentication using security keys and platform authenticators. Covers WebAuthn API integration, FIDO2 server configuration, passkey enrollment, biometric authentica

autohandai
autohandai
103

implementing-patch-management-for-ot-systems

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autohandai
autohandai
103

nvidia-megatron-bridge-perf-cpu-offloading

Validate and use CPU offloading in Megatron Bridge, including layer-level

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-cuda-graphs

Validate and use CUDA graph capture in Megatron Bridge, including local

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-expert-parallel-overlap

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-hierarchical-context-parallel

Operational guide for enabling hierarchical context parallelism in Megatron-Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-megatron-fsdp

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including

NVIDIA
NVIDIA
103

implementing-privileged-access-management-with-cyberark

Deploy CyberArk Privileged Access Management to discover, vault, rotate, and monitor privileged credentials across enterprise infrastructure. This skill covers vault architecture, session isolation, c

autohandai
autohandai
103

implementing-zero-knowledge-proof-for-authentication

Zero-Knowledge Proofs (ZKPs) allow a prover to demonstrate knowledge of a secret (such as a password or private key) without revealing the secret itself. This skill implements the Schnorr identificati

autohandai
autohandai
103

implementing-web-application-logging-with-modsecurity

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autohandai
autohandai
103

implementing-vulnerability-sla-breach-alerting

Build automated alerting for vulnerability remediation SLA breaches with severity-based timelines, escalation workflows, and compliance reporting dashboards.

autohandai
autohandai
103

implementing-vulnerability-remediation-sla

Vulnerability remediation SLAs define mandatory timeframes for patching or mitigating identified vulnerabilities based on severity, asset criticality, and exploit availability. Effective SLA programs

autohandai
autohandai
103

implementing-vulnerability-management-with-greenbone

Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library to create scan targets, execute vulnerability scans, and parse scan reports via GMP protocol.

autohandai
autohandai
103

implementing-velociraptor-for-ir-collection

Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.

autohandai
autohandai
103

implementing-usb-device-control-policy

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autohandai
autohandai
103

implementing-ticketing-system-for-incidents

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autohandai
autohandai
103

implementing-threat-modeling-with-mitre-attack

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autohandai
autohandai
103

implementing-threat-intelligence-platform

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autohandai
autohandai
103

implementing-threat-intelligence-lifecycle-management

Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.

autohandai
autohandai
103

implementing-taxii-server-with-opentaxii

Deploy and configure an OpenTAXII server to share and consume STIX-formatted cyber threat intelligence using the TAXII 2.1 protocol for automated indicator exchange between organizations.

autohandai
autohandai
103

implementing-syslog-centralization-with-rsyslog

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autohandai
autohandai
103

implementing-supply-chain-security-with-in-toto

Implement software supply chain integrity verification for container builds using the in-toto framework to create cryptographically signed attestations across CI/CD pipeline steps.

autohandai
autohandai
103

implementing-stix-taxii-feed-integration

STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.

autohandai
autohandai
103

implementing-soar-playbook-with-palo-alto-xsoar

Implement automated incident response playbooks in Cortex XSOAR to orchestrate security workflows across SOC tools and reduce manual response time.

autohandai
autohandai
103

implementing-soar-playbook-for-phishing

Automate phishing incident response using Splunk SOAR REST API to create containers, add artifacts, and trigger playbooks

autohandai
autohandai
103

implementing-soar-automation-with-phantom

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autohandai
autohandai
103

implementing-siem-use-cases-for-detection

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autohandai
autohandai
103

implementing-siem-use-case-tuning

Tune SIEM detection rules to reduce false positives by analyzing alert volumes, creating whitelists, adjusting thresholds, and measuring detection efficacy metrics in Splunk and Elastic

autohandai
autohandai
103

implementing-siem-correlation-rules-for-apt

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autohandai
autohandai
103

implementing-semgrep-for-custom-sast-rules

Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.

autohandai
autohandai
103

implementing-security-monitoring-with-datadog

Implement security monitoring using Datadog's Cloud SIEM, log analysis, and threat detection capabilities to identify and respond to security events across cloud infrastructure.

autohandai
autohandai
103

implementing-security-information-sharing-with-stix2

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autohandai
autohandai
103

implementing-security-chaos-engineering

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autohandai
autohandai
103

implementing-secrets-scanning-in-ci-cd

Integrate gitleaks and trufflehog into CI/CD pipelines to detect leaked secrets before deployment

autohandai
autohandai
103

implementing-secrets-management-with-vault

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autohandai
autohandai
103

implementing-secret-scanning-with-gitleaks

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autohandai
autohandai
103

implementing-scim-provisioning-with-okta

Implement automated user provisioning and deprovisioning using SCIM 2.0 protocol with Okta as the identity provider.

autohandai
autohandai
103

implementing-saml-sso-with-okta

Implement SAML 2.0 Single Sign-On (SSO) using Okta as the Identity Provider (IdP). This skill covers end-to-end configuration of SAML authentication flows, attribute mapping, certificate management, a

autohandai
autohandai
103

Page 1093 of 1713 · 85604 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.