Explore MCP Servers & Agent Skills

io.github.questdb/questdb/review-pr

Review a GitHub pull request against QuestDB coding standards

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-brand-monitoring-for-impersonation

Monitor for brand impersonation attacks across domains, social media, mobile apps, and dark web channels to detect phishing campaigns, fake sites, and unauthorized brand usage targeting your organization.

io.github.mukul975/Anthropic-Cybersecurity-Skills/detecting-mobile-malware-behavior

Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.

io.github.mukul975/Anthropic-Cybersecurity-Skills/auditing-kubernetes-cluster-rbac

Auditing Kubernetes cluster RBAC configurations to identify overly permissive roles, wildcard permissions, dangerous ClusterRoleBindings, service account abuse, and privilege escalation paths using kubectl, rbac-tool, KubiScan, and Kubeaudit.

io.github.mukul975/Anthropic-Cybersecurity-Skills/deploying-decoy-files-for-ransomware-detection

Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.

io.github.mukul975/Anthropic-Cybersecurity-Skills/deploying-ransomware-canary-files

Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection. Places strategically named decoy files that mimic high-value targets (financial records, credentials, database exports) in locations ransomware typically enumerates first. Monitors for any read, modify, rename, or delete operations on canary files and triggers immediate alerts via email, Slack webhook, or syslog when interaction is detected, providing early warning before full encryption begins.

io.github.mukul975/Anthropic-Cybersecurity-Skills/testing-ransomware-recovery-procedures

Test and validate ransomware recovery procedures including backup restore operations, RTO/RPO target verification, recovery sequencing, and clean restore validation to ensure organizational resilience against destructive ransomware attacks.

io.github.fossasia/visdom/python-client-api

Add or modify Visdom Python client methods with correct server/frontend parity and typing updates

io.github.runceel/ReactiveProperty/writing-mstest-tests

Best practices for writing new MSTest 3.x/4.x unit tests and implementing concrete fixes in existing MSTest code. Use when the user asks to write, create, implement, repair, or modernize tests (including fix-it prompts such as 'something seems off, fix issues'). Primary fit for direct code changes like correcting swapped Assert.AreEqual argument order, replacing outdated assertion patterns, and converting DynamicData from IEnumerable<object[]> to ValueTuple-based data sets. Covers modern assertions, data-driven tests, test lifecycle, MSTest.Sdk, sealed classes, Assert.Throws, DynamicData with ValueTuples, TestContext, and conditional execution. Do NOT use for broad test quality audits, flaky-test investigations, or test smell detection reports — use test-anti-patterns instead.

io.github.lishuangqiang/backend-agent-resume-scout/backend-agent-project-selector

Find suitable traditional software backend or business-grade AI agent projects from GitHub for students or early-career engineers, evaluate resume value, and generate a Markdown resume-writing package. Use when a user asks to choose backend projects, Java/Spring projects, distributed-system projects, complete AI agent business projects, multi-agent systems, LLM apps, GitHub projects for resumes, or turn selected projects into resume bullets/interview talking points. Supports modes: agent-only, backend-only, mixed, safe-mode, and challenge-mode. If no mode is specified, ask the user to choose before searching or recommending. Backend recommendations exclude IoT, embedded, hardware-integration, device-management, and industrial-control platforms unless requested. Avoid simple browser extensions, thin LLM wrappers, shallow AI plugins, and browser-automation libraries unless requested.

io.github.sickn33/antigravity-awesome-skills/codex-fable5

Apply Fable-inspired discipline to Codex work: inspect first, track goals and findings, ground conclusions in evidence, verify before completion, and adapt Claude/Fable prompt guidance without identity or provider claims.

io.github.langchain-ai/deepagents/code-review

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

io.github.bage2014/study/common-dockerize

Docker容器化技能，生成Docker配置文件

io.github.openclaw/openclaw/gh-issues

Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.

io.github.sickn33/antigravity-awesome-skills/codebase-design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

io.github.sickn33/antigravity-awesome-skills/writing-great-skills

Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.

io.github.pascalorg/editor/review-architecture

Review a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.

io.github.erickalfaro/multitable/cursor-cli

Authoritative reference for working on MultiTable's Cursor provider, driven by the Cursor CLI (`cursor-agent`) in headless `--print --output-format stream-json` mode. Trigger when the user mentions Cursor, cursor-agent, the Cursor adapter, CursorAdapter, stream-json / NDJSON events, `--resume` / `--continue`, `--mode plan|ask`, `--force` / `--yolo`, `--sandbox`, composer-2.5, `cursor-agent models`, `~/.cursor`, agent-transcripts, usage limits / rate limits (why they're off for Cursor; the cursor.com billing out-of-band path), or modifying anything under `packages/daemon/src/agent/providers/cursor.ts`, `packages/daemon/src/agent/providers/cursor-cli/`, or `packages/daemon/src/transcripts/cursorParser.ts`.

io.github.bytedance/deer-flow/smoke-test

End-to-end smoke test skill for DeerFlow. Guides through: 1) Pulling latest code, 2) Docker OR Local installation and deployment (user preference, default to Local if Docker network issues), 3) Service availability verification, 4) Health check, 5) Final test report. Use when the user says "run smoke test", "smoke test deployment", "verify installation", "test service availability", "end-to-end test", or similar.

io.github.sickn33/antigravity-awesome-skills/design-it

Routes frontend design tasks to 48 specific UI styles. Triggers for websites, app screens, or UI components requesting a specific aesthetic.

io.github.openclaw/openclaw/trello

Manage Trello boards, lists, and cards via the Trello REST API.

io.github.TencentCloudBase/CloudBase-MCP/mcp-attribution-worktree

Triage, repair, and close MCP attribution issues from the local report API with evidence-driven decisions and isolated Worktrunk worktrees. Use this skill when Codex needs to process `tool` attribution issues and skills-related attribution issues, inspect related runs, decide whether the issue is actionable in `mcp/src` or `config/source/skills`, update attribution fields as `owner=codex`, and then complete the fix loop through GitHub issue tracking, worktree-based code changes, PR submission, and follow-up iteration when the problem is repairable.

io.github.elizaOS/eliza/canvas

Display, present, and render HTML content on connected Otto nodes (Mac app, iOS, Android). Show on device, preview on mobile, push to screen, or navigate to a URL on any connected node. Use for games, visualizations, dashboards, interactive demos, and live-reloading development previews. Supports presenting, hiding, navigating, evaluating JavaScript, and capturing screenshots of canvas content across Mac, iOS, and Android devices.

io.github.tw93/Waza/design

Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask in any language for UI, page, component, frontend, typography, screenshot-grounded visual polish, or complaints that a screen looks unclear, ugly, inconsistent, or visually wrong. Not for backend logic or data pipelines.