Browse Skills — Page 145

image-understanding

openakita/openakita

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

image-upscaling

inferen-sh/superpowers

Upscale and enhance images with Real-ESRGAN, Thera, Topaz, FLUX Upscaler via inference.sh CLI. Models: Real-ESRGAN, Thera (any size), FLUX Dev Upscaler, Topaz Image Upscaler. Use for: enhance low-res images, upscale AI art, restore old photos, increase resolution. Triggers: upscale image, image upscaler, enhance image, increase resolution, real esrgan, ai upscale, super resolution, image enhancement, upscaling, enlarge image, higher resolution, 4k upscale, hd upscale

image-utils

Bria-AI/bria-skill

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.

openai/imagegen

openai/codex

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

seaworld008/imagegen

seaworld008/Commonly-used-high-value-skills

Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.

browser-use/imagegen

browser-use/browser-harness-tui

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

imagegen-frontend-web

mxyhi/ok-skills

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

imagegenskill

aipoch/medical-research-skills

Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models). Use when users ask for an image/picture/scientific diagram/visualization poster or explicitly request SVG output for web-embeddable vector graphics.

imagekit-io-automation

ComposioHQ/awesome-claude-skills

"Automate Imagekit IO tasks via Rube MCP (Composio). Always search tools first for current schemas."

imagemagick

TerminalSkills/skills

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imagen

sanjay3290/ai-skills

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imagen-v2

diegosouzapw/awesome-omni-skills

Imagen - AI Image Generation Skill workflow skill. Use this skill when the user needs AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

imagineer

QinghongLin/data2story-skill

Fan out MANY candidate interactive concepts from the data + narrative — the ideation pool the Editor curates a hero + supporting set from. Deliberate over-generation: one concept per finding worth making hands-on, each declaring its archetype, purpose, what the reader produces, and an honest feasibility (node-checked against the Analyst's client_model). Builds NOTHING on-page — img_xx concepts are internal and never reach HTML. Outputs imagineer.json after the Analyst, before the Editor.

imaging-data-commons

K-Dense-AI/scientific-agent-skills

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

imaging-mass-cytometry-cell-segmentation

swaruplab/operon

Segment single cells from multiplexed IMC/MIBI tissue images using Mesmer/DeepCell, Cellpose, or ilastik+CellProfiler, covering whole-cell vs nuclear segmentation, the summed-membrane-channel decision, nuclear-expansion bias, lateral spillover, resolution-floor parameters, and downstream-proxy evaluation. Use when delineating cells after preprocessing, choosing a segmentation model, building a cell mask for quantification, diagnosing impossible double-positive populations, or troubleshooting over/under-segmentation.

imaging-mass-cytometry-data-preprocessing

swaruplab/operon

Load and preprocess imaging mass cytometry (IMC) and MIBI data from raw MCD/TXT through hot-pixel removal, spillover compensation, and variance-stabilizing transformation, covering readimc/steinbock ingestion, NNLS spillover compensation (CATALYST), IMC-Denoise, and the IMC arcsinh-cofactor question. Use when starting analysis from raw MCD files, building per-channel TIFF stacks, compensating channel spillover, choosing an arcsinh cofactor, or preparing single-cell intensities for phenotyping.

imaging-mass-cytometry-differential-analysis

swaruplab/operon

Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models, compositional (Dirichlet/scCODA) differential abundance, diffcyt, per-image-to-patient spatial differential testing (SpaceANOVA), batch covariates, and FDR. Use when testing whether a cell type or spatial niche differs between groups, avoiding cell-level pseudoreplication, choosing a differential-abundance method, or correctly powering an IMC cohort comparison.

imaging-mass-cytometry-interactive-annotation

swaruplab/operon

Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer.

imaging-mass-cytometry-phenotyping

swaruplab/operon

Assign cell types from marker expression in IMC/MIBI data using clustering (PhenoGraph/FlowSOM/Leiden/Pixie), marker-based probabilistic classifiers (Astir), or image-context CNNs (CellSighter), covering the double-positive segmentation artifact, lineage-vs-state markers, the two spillover types, and why a "cell type" in imaging is conditioned on a segmentation guess. Use when phenotyping segmented IMC cells, choosing clustering vs classification, diagnosing implausible double-positive populations, separating lineage from functional markers, or transferring labels across a cohort.

imaging-mass-cytometry-quality-metrics

swaruplab/operon

Quality control for IMC/MIBI data across pixel, channel, image, slide, and batch levels, covering Poisson-count SNR (cell-level Gaussian-mixture and empty-channel comparison), spillover-matrix QC (the three physical sources), drift and the missing EQ-bead analog, acquisition artifacts, and sample-of-origin batch effects. Use when deciding whether to keep or drop a channel, ROI, or slide, distinguishing a dim antibody from a failed one, reading a spillover matrix, or diagnosing batch-driven clustering before analysis.

imaging-mass-cytometry-spatial-analysis

swaruplab/operon

Analyze spatial cell-cell interactions, neighborhoods, and niches in IMC/MIBI data with squidpy and imcRtools, covering neighborhood-enrichment permutation nulls, the abundance-vs-density confound, inhomogeneous Ripley's K, cellular-neighborhood discovery, graph-construction (contact vs proximity), and edge effects. Use when testing whether cell types co-locate, choosing a spatial null, building a neighbor graph, discovering tissue niches, or deciding whether a spatial pattern is real or a density/segmentation artifact.

imap-pentesting

wgpsec/AboutSecurity

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imc-tuning-rules

elizaOS/eliza

Calculate PI/PID controller gains using Internal Model Control (IMC) tuning rules for first-order systems.

imcp

TerminalSkills/skills

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imessage

NousResearch/hermes-agent

Send and receive iMessages/SMS via the imsg CLI on macOS.

imessage-query

terrylica/cc-skills

Query macOS iMessage database (chat.db) via SQLite. Decode NSAttributedString messages, handle tapbacks, search conversations.

imgbb-automation

ComposioHQ/awesome-claude-skills

"Automate Imgbb tasks via Rube MCP (Composio). Always search tools first for current schemas."

imgix

TerminalSkills/skills

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imgix-automation

ComposioHQ/awesome-claude-skills

"Automate Imgix tasks via Rube MCP (Composio). Always search tools first for current schemas."

imgur

vm0-ai/vm0-skills

Imgur API for image hosting. Use when user mentions "Imgur", "upload

immersive

bergside/awesome-design-skills

An immersive, interactive, exhibit-style interface that blends storytelling, animation, and gamified elements to create a playful, experience-driven journey. The entire app sits on a single continuous brand-colored canvas (deep green)

immersive-environment-design

Tibsfox/gsd-skill-creator

Design heuristics for immersive environments — VR worlds, AR scenes, CAVE installations, responsive rooms. Covers scale and presence, lighting and atmosphere, sight-line composition, acoustic design, comfort-first layout, player/visitor flow, environmental storytelling, and the boundary between stage and audience. Includes Krueger's VIDEOPLACE heritage, Furness's Super Cockpit discipline, and contemporary guidelines for VR level design. Use when authoring or reviewing any environment whose purpose is to be experienced from within.

immissionsschutz-laerm-bauleitplanung

Klotzkette/claude-fuer-deutsches-recht

Pruefung der Laerm- und Immissionsbelange in der Bauleitplanung. DIN 18005 Schallschutz im Staedtebau Orientierungswerte fuer verschiedene Gebietstypen. TA Laerm bei gewerblicher Nutzung Schwellenwerte fuer Tag und Nacht. Trennungsgrundsatz Paragraf 50 BImSchG soweit moeglich Wohnnutzung und stoerende Anlagen raeumlich getrennt. Schallschutzgutachten Pruefung Methodik Berechnungsverfahren Eingangsdaten Worstcase. Aktive Schallschutzmassnahmen Laermschutzwaende Verlegung Verkehr Begruenung. Passive Schallschutzmassnahmen Schallschutzfenster reichen fuer Aussenwohnbereich nicht. Verkehrslaerm BAB Schiene Strasse mit eigenen Vorschriften. Belastung Bahnhofsnaehe besondere Konstellation. Verbraucherbelang Schlafraeume Aussenwohnbereiche Schulhoefe.

immune-checkpoint-combination-agent

swaruplab/operon

AI-powered analysis for predicting optimal immune checkpoint inhibitor combinations based on tumor microenvironment, biomarkers, and molecular profiling.

immunoinformatics-epitope-prediction

swaruplab/operon

Predict B-cell and T-cell epitopes using BepiPred, IEDB tools, and structure-based methods for vaccine and antibody design. Identify immunogenic regions in antigens. Use when designing vaccines, mapping antibody binding sites, or predicting immunogenic peptides.

immunoinformatics-immunogenicity-scoring

swaruplab/operon

Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.

immunoinformatics-mhc-binding-prediction

swaruplab/operon

Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.

immunoinformatics-neoantigen-prediction

swaruplab/operon

Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.

immunoinformatics-tcr-epitope-binding

swaruplab/operon

Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.

impacket-toolkit

wgpsec/AboutSecurity

Impacket Windows 协议工具集。当需要通过 SMB/Kerberos/WMI/DCOM/MSSQL 等 Windows 协议进行远程操作时使用。覆盖 secretsdump 凭据导出、psexec/wmiexec 远程执行、Kerberos 攻击、NTLM 中继，是域渗透和 Windows 横向移动的基础工具集

impact-analysis-agent

Agile-V/agile_v_skills

Identify the likely impact of a proposed change before implementation by mapping it to graph nodes, affected files, functions, APIs, and tests.

impact-scoring

yogsoth-ai/de-anthropocentric-research-engine

SOP: 评估研究 gap 的潜在影响力，识别受益方并输出影响力评分

impeccable

bergside/awesome-design-skills

A modern, graphic, editorial-poster aesthetic — warm and confident — built on alternating cream and burnt orange sections, an amber brand color.

impeccable

pbakaus/impeccable

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

impediment-prioritization

github/awesome-copilot

Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, risks, findings, gaps, action items, or backlog entries; or mentions value-stream prioritization, A3 / lean countermeasure ranking, ROI vs. effort scoring, or building a remediation / improvement backlog. Works with GHQR findings, audit results, retrospective action items, risk registers, architecture review gaps, or any free-form `{impediment, countermeasure}` list.

impl-standards

terrylica/cc-skills

Core engineering standards for implementation. TRIGGERS - error handling, constants management, progress logging, code quality.

impl-validator

Ar9av/obsidian-wiki

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implement

huggingface/OpenEnv

Make tests pass. Invoke after /write-tests produces failing tests.

implement

posit-dev/skills

Orchestrates implementation of a plan file by delegating work to subagents in parallel. Verifies git branch state, tracks progress, and ensures high-quality implementation. Invoke with a plan file path and optional model override: /implement plans/my-plan.md [--model sonnet]

implement-ag-playbook

AgnosticUI/agnosticui

Implement a playbook from its PROMPT specification files. Supports both single-framework (PROMPT-REACT.md, etc.) and 3-framework (PROMPT-3-FRAMEWORKS.md) modes.

implement-feature

HoangNguyen0403/agent-skills-standard

Implement an approved feature plan with fresh-context slices, TDD, evidence, and PR-ready output.

implement-github-feature

AgnosticUI/agnosticui

Design and implement a new feature or component from a GitHub issue. Use for net-new functionality, not bug fixes.

implement-improvements

tobihagemann/turbo

Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to \"implement improvements\", \"work on improvements\", \"address improvements\", \"process improvement backlog\", \"tackle improvements\", or \"implement noted improvements\".

implement-issue

warpdotdev/oz-for-oss

Implement a GitHub issue in this repository by applying the local shared `implement-specs` workflow with Oz-specific issue, spec-context, and summary-file handling. Use when issue details are provided in the prompt and the agent should produce the repository diff and a concise implementation summary, without creating commits or pull requests itself unless a cloud workflow explicitly asks for it.

implement-plan

tobihagemann/turbo

Execute an implementation plan file produced by /draft-plan, /turboplan, or /expand-shell. Runs pre-implementation prep, then runs /implement to execute the steps and finalize. Use when the user asks to \"implement plan\", \"implement the plan\", \"execute the plan\", \"run the plan\", \"implement plans/<slug>.md\", \"start implementing the plan\", or starts a fresh session to implement a previously drafted plan.

implement-plan-preflight

terrylica/cc-skills

Run the Preflight phase of the ITP workflow to create ADR and design spec artifacts. Use whenever the user asks to create an ADR, write a design.

implement-review

yzhao062/anywhere-agents

Review loop for staged changes. Detects content type, prepares a review request for Codex (Terminal-relay manual default, opt-in Auto-terminal codex-exec subprocess, or IDE plugin), categorizes feedback, revises, and iterates. Works for code, papers, proposals, or any text-based output.

implement-specs

warpdotdev/oz-for-oss

Implement an approved feature from the repository's product and tech specs, keeping specs and code aligned in the same change as implementation evolves. Use after the product and tech specs are approved and the next step is building the feature.

implementation-approach

shinpr/claude-code-workflows

Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria.

implementation-final-review

openai/openai-agents-python

Review completed implementation changes before final verification. Use when repository policy requires independent review or the user explicitly requests it.

implementation-kickoff

openai/openai-agents-python

Carry implementation through an isolated worktree and local handoff. Use only when this skill is explicitly invoked.

implementation-plan-executor

SkillPanel/maister

Execute implementation plans by delegating each task group to task-group-implementer subagent. Main agent coordinates prepares context, invokes subagent, processes output, marks checkboxes, updates work-log. Uses lazy standards loading from INDEX.md with keyword-triggered discovery.

implementation-planning

yogsoth-ai/de-anthropocentric-research-engine

Plan execution path, produce executable plan, dispatch subagents, collect and analyze results

implementation-readiness

HoangNguyen0403/agent-skills-standard

Verify BRD-lite, PRD, SRS/FRS, UX, and test prerequisites before implementation starts.

implementation-strategy

openai/openai-agents-python

Choose supported scope and compatibility boundaries for SDK behavior changes; revisit when feedback changes the design.

implementation-verifier

SkillPanel/maister

Verify completed implementations for quality assurance. Delegates all verification work to specialized subagents - completeness checking, test execution, code review, pragmatic review, production readiness, and reality assessment. Compiles results into comprehensive verification report. Read-only verification - reports issues but does not fix them. Use after implementation is complete and before code review/commit.

implementer-dispatch

yogsoth-ai/de-anthropocentric-research-engine

Dispatch execution subagent — select model by complexity, construct prompt with full task context

implementing-aes-encryption-for-data-at-rest

mukul975/Anthropic-Cybersecurity-Skills

AES (Advanced Encryption Standard) is a symmetric block cipher standardized by NIST (FIPS 197) used to protect classified and sensitive data. This skill covers implementing AES-256 encryption in GCM m

implementing-alert-fatigue-reduction

mukul975/Anthropic-Cybersecurity-Skills

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implementing-anti-phishing-training-program

mukul975/Anthropic-Cybersecurity-Skills

Security awareness training is the human layer of phishing defense. An effective anti-phishing training program combines regular simulations, interactive learning modules, metric tracking, and positiv

implementing-anti-ransomware-group-policy

mukul975/Anthropic-Cybersecurity-Skills

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implementing-api-abuse-detection-with-rate-limiting

mukul975/Anthropic-Cybersecurity-Skills

Implement API abuse detection using token bucket, sliding window, and adaptive rate limiting algorithms to prevent DDoS, brute force, and credential stuffing attacks.

implementing-api-gateway-security-controls

mukul975/Anthropic-Cybersecurity-Skills

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implementing-api-key-security-controls

mukul975/Anthropic-Cybersecurity-Skills

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implementing-api-rate-limiting-and-throttling

mukul975/Anthropic-Cybersecurity-Skills

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implementing-api-schema-validation-security

mukul975/Anthropic-Cybersecurity-Skills

Implement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.

implementing-api-security-posture-management

mukul975/Anthropic-Cybersecurity-Skills

Implement API Security Posture Management to continuously discover, classify, and score APIs based on risk while enforcing security policies across the API lifecycle.

implementing-api-security-testing-with-42crunch

mukul975/Anthropic-Cybersecurity-Skills

Implement comprehensive API security testing using the 42Crunch platform to perform static audit and dynamic conformance scanning of OpenAPI specifications.

implementing-api-threat-protection-with-apigee

mukul975/Anthropic-Cybersecurity-Skills

Implement API threat protection using Google Apigee policies including JSON/XML threat protection, OAuth 2.0, SpikeArrest, and Advanced API Security for OWASP Top 10 defense.

implementing-application-whitelisting-with-applocker

mukul975/Anthropic-Cybersecurity-Skills

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implementing-aqua-security-for-container-scanning

mukul975/Anthropic-Cybersecurity-Skills

Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfigurations, secrets, and license issues in container images across CI/CD pipelines and registries.

implementing-attack-path-analysis-with-xm-cyber

mukul975/Anthropic-Cybersecurity-Skills

Deploy XM Cyber's continuous exposure management platform to map attack paths, identify choke points, and prioritize the 2% of exposures that threaten critical assets.

implementing-attack-surface-management

mukul975/Anthropic-Cybersecurity-Skills

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implementing-aws-config-rules-for-compliance

mukul975/Anthropic-Cybersecurity-Skills

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implementing-aws-iam-permission-boundaries

mukul975/Anthropic-Cybersecurity-Skills

Configure IAM permission boundaries in AWS to delegate role creation to developers while enforcing maximum privilege limits set by the security team.

implementing-aws-macie-for-data-classification

mukul975/Anthropic-Cybersecurity-Skills

Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.

implementing-aws-nitro-enclave-security

mukul975/Anthropic-Cybersecurity-Skills

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implementing-aws-security-hub

mukul975/Anthropic-Cybersecurity-Skills

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implementing-aws-security-hub-compliance

mukul975/Anthropic-Cybersecurity-Skills

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implementing-azure-ad-privileged-identity-management

mukul975/Anthropic-Cybersecurity-Skills

Configure Microsoft Entra Privileged Identity Management to enforce just-in-time role activation, approval workflows, and access reviews for Azure AD privileged roles.

implementing-azure-defender-for-cloud

mukul975/Anthropic-Cybersecurity-Skills

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implementing-beyondcorp-zero-trust-access-model

mukul975/Anthropic-Cybersecurity-Skills

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implementing-bgp-security-with-rpki

mukul975/Anthropic-Cybersecurity-Skills

Implement BGP route origin validation using RPKI with Route Origin Authorizations, RPKI-to-Router protocol, and ROV policies on Cisco and Juniper routers to prevent route hijacking.

implementing-browser-isolation-for-zero-trust

mukul975/Anthropic-Cybersecurity-Skills

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implementing-canary-tokens-for-network-intrusion

mukul975/Anthropic-Cybersecurity-Skills

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implementing-cisa-zero-trust-maturity-model

mukul975/Anthropic-Cybersecurity-Skills

Implement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications, and data to achieve progressive organizational zero trust maturity.

implementing-cloud-dlp-for-data-protection

mukul975/Anthropic-Cybersecurity-Skills

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implementing-cloud-security-posture-management

mukul975/Anthropic-Cybersecurity-Skills

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implementing-cloud-trail-log-analysis

mukul975/Anthropic-Cybersecurity-Skills

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implementing-cloud-vulnerability-posture-management

mukul975/Anthropic-Cybersecurity-Skills

Implement Cloud Security Posture Management using AWS Security Hub, Azure Defender for Cloud, and open-source tools like Prowler and ScoutSuite for multi-cloud vulnerability detection.