Explore MCP Servers & Agent Skills

io.github.PostHog/posthog/exploring-llm-traces

Debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace or session URL (e.g. /ai-observability/traces/<id> or /ai-observability/sessions/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs. Also use when raw SQL/HogQL against `events.properties.$ai_input` / `$ai_output_choices` returns empty — message content lives only on the dedicated `posthog.ai_events` table.

io.github.PostHog/posthog/maintaining-python-tests

Maintains existing pytest and Django test suites without weakening correctness. Use when asked to reduce Python test runtime or CI work, investigate slow pytest families, remove stale migration tests, consolidate repeated setup, improve Python test ownership, or measure whether a test optimization worked after merge. Ranks work by measured cost, applies the writing-tests value gate to existing coverage, preserves distinct behavior cases, validates isolation after shared-fixture changes, and separates testcase work from pytest-suite wall time. For an intermittent failure, use fixing-flaky-tests instead.

io.clawhub.shawnminh/tencentcloud-cos

腾讯云对象存储(COS)和数据万象(CI)集成技能。覆盖文件存储管理、AI处理和知识库三大核心场景。 存储场景：上传文件到云端、下载云端文件、批量管理存储桶文件、获取文件签名链接分享、查看文件元信息、查询数据万象及子服务开通状态。 图片处理场景：图片质量评估打分、AI超分辨率放大、AI智能裁剪、二维码/条形码识别、添加文字水印、获取图片EXIF信息、缩放、裁剪、旋转、格式转换。 文档处理场景：Word/Excel/PPT等办公文档转PDF、文档预览。 媒体处理场景：视频智能封面提取、视频转码、视频截帧、获取媒体信息。 内容审核场景：图片/视频/音频/文本/文档内容审核，检测违规内容。 智能语音

io.clawhub.shawnminh/tencent-cos-skill

腾讯云对象存储(COS)和数据万象(CI)集成技能。覆盖文件存储管理、AI处理和知识库三大核心场景。 存储场景：上传文件到云端、下载云端文件、批量管理存储桶文件、获取文件签名链接分享、查看文件元信息、查询数据万象及子服务开通状态。 图片处理场景：图片质量评估打分、AI超分辨率放大、AI智能裁剪、二维码/条形码识别、添加文字水印、获取图片EXIF信息、缩放、裁剪、旋转、格式转换。 文档处理场景：Word/Excel/PPT等办公文档转PDF、文档预览。 媒体处理场景：视频智能封面提取、视频转码、视频截帧、获取媒体信息。 内容审核场景：图片/视频/音频/文本/文档内容审核，检测违规内容。 智能语音

io.github.CherryHQ/cherry-studio/code-mate-hermes

Runs Hermes Agent in one-shot mode for bounded local tasks. Use when the user explicitly asks to delegate work to Hermes and accepts its automatic tool approval behavior.

io.github.openclaw/openclaw/clawdtributor

Clawtributor PRs here, last week or another window: discover conversation refs, recheck GitHub, rank by impact.

io.github.addyosmani/agent-skills/frontend-ui-engineering

Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

io.github.lobehub/lobehub/compose-atoms

Decompose a heavy domain feature into mountable capability atoms. Use when a Viewer/Page/index.tsx owns fetch, filters, mutations, modals, and host integrations together; a visual split still leaves store calls and actions on the page; a portal, embed, share, mobile, or micro-app needs a subset of the same domain; or a new capability is landing as another `readOnly`/`mode`/`variant` flag. Triggers on `compose-atoms`, sink state, 状态下沉, 重业务拆分, 拆成原子, 原子组件, 组装, god component, fat viewer, module graph, slot composition, host seam.

io.clawhub.otherpowers/content-id-guide

A calm way for artists, creators, managers/teams and labels to get guidance or better understand/organize automated content claims across YouTube, META & TikTok, so nothing important gets missed. Verified official sources, estimated deadline timelines, plain words. *Not expert legal advice - a guide

io.github.sickn33/agentic-awesome-skills/ida-reverse

Reverse engineer binaries with IDA Pro: decompilation, disassembly, data-flow tracking, cross-references, and IDA MCP automation for deep static analysis of PE/ELF/Mach-O targets.

io.github.sickn33/agentic-awesome-skills/firmware-pentest

Firmware penetration testing following the OWASP FSTM nine-stage flow: extraction, EMBA automation, Firmadyne/QEMU emulation, AFL++ fuzzing, and hands-on exploitation in authorized labs.

io.github.sickn33/agentic-awesome-skills/reverse-browser-automation

Automate browsers (Playwright) and Windows desktop applications (UI automation) for reverse-engineering evidence collection, UI-driven workflows, and network observation during analysis.

io.github.sickn33/agentic-awesome-skills/src-hunter

Bug-bounty/SRC vulnerability-hunting workflow: five-phase methodology (intake, recon, enumeration, hunt, report) with attack playbooks for SQLi, XSS, RCE, SSRF, IDOR, CSRF, path traversal, and file upload.

io.github.sickn33/agentic-awesome-skills/pentest-tools

Operate 20+ penetration-testing tools (Nmap, Nuclei, SQLMap, FFUF, Hashcat, and more) through structured workflows with consistent output handling.

io.github.sickn33/agentic-awesome-skills/mobile-reverse

Authorized Android/iOS application reverse engineering and security testing: APK/IPA analysis, runtime instrumentation (Frida/Objection), SSL-pinning and jailbreak/root-detection bypass, per OWASP MASTG.

io.github.sickn33/agentic-awesome-skills/docs-generator

Generate technical deliverables from completed analysis: reverse-engineering reports, penetration-test reports, CTF write-ups, and signature-analysis documentation with evidence-backed structure.

io.github.sickn33/agentic-awesome-skills/cloud-k8s

Authorized cloud, container, and Kubernetes security assessment: metadata SSRF, IAM misconfiguration, container escape paths, and cluster RBAC review.

io.github.sickn33/agentic-awesome-skills/pwn-chain

Go from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.

io.github.sickn33/agentic-awesome-skills/database-security

Authorized database security assessment across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure, authorization gaps, UDF/command execution paths, and misconfiguration review.

io.github.apple/container/container

Use when running, building, or managing Linux containers on macOS, or when a task involves Docker, docker compose, Lima, Colima, or Podman commands on a Mac, Dockerfiles, OCI images, image registries, or setting up a Linux development environment on Apple silicon.

io.github.getsentry/sentry/feature-flags

Gate a Sentry feature behind a FlagPole feature flag. Use when adding a feature flag, registering a flag in temporary.py, checking a flag from Python or the frontend, enabling a flag in tests, or asking where FlagPole rollout config lives. Trigger on "add a feature flag", "gate this behind a flag", "register a flag", "features.has", "api_expose", "OrganizationFeature", "ProjectFeature", "FlagPole".

io.github.PostHog/posthog/formatting-insight-axes

Pick the right y-axis unit when creating or updating an insight via `posthog:insight-create` or `posthog:insight-update` — both TrendsQuery (`trendsFilter.aggregationAxisFormat`) and SQL insights (`DataVisualizationNode`, `chartSettings.yAxis[].settings.formatting`). Use when the agent is about to add a `formula` purely to convert units (e.g. dividing seconds by 60 to display minutes), when a `math_property` or SQL column is a duration, currency, ratio, or large count, or whenever the user mentions "format the y-axis", "duration", "seconds", "minutes", "hours", "milliseconds", "ms", "percentage", "%%", "currency", "decimals", "axis label", or "axis unit" in the context of a graph insight.