LLM Mart Basic

File-upload bridge for Claude Code on the Web. CCotw has no native file mount; this skill creates a throwaway GitHub branch the user can drop files onto via the github.com web UI, then fetches them locally on the next turn. Use when the user wants to upload, share, or send files

Close a GitHub issue with a synthesis comment as a flowing graph — validate the synthesis, post the closing comment, close, then run a pluggable callback (e.g. memory store) detached. Use when closing an issue should also capture the LEARNING (not just the diff log) and when the

Installs and authenticates the GitHub CLI (gh) in a Claude.ai container, then runs gh commands against it. Use for "install gh", "gh auth", "create an issue or PR from the CLI", "gh is not authenticated", or any GitHub operation you want to issue as a gh command rather than a raw

Enables GitHub repository operations (read/write/commit/PR) for Claude.ai chat environments. Use when users request GitHub commits, repository updates, DEVLOG persistence, or cross-session state management via GitHub branches. Not needed in Claude Code (has native git access).

窗帘选购指南专用 Skill。覆盖窗帘款式、遮光防晒、布艺与纱帘、罗马杆与轨道、飘窗异形窗、电动智能窗帘、安装测量、搭配选购等全流程，整合西安装修课堂装修知识库精华，帮用户一次选对窗帘，遮光隐私好看又好用。

厨房装修避坑指南专用 Skill。覆盖厨房空间从格局（开放/半开放/砸墙/进门即厨房）、动线布局、水电防水地漏、橱柜柜体柜门、台面挡水下挂、水槽选购安装、收纳（高柜/超薄柜/切菜位）、砖与墙面、灯光采光、门（推拉门/联动门）、去家务化、安全（夺命操作/毒物/重金属锅）、智商税鸡肋等全主题，倒序整合西安装修课堂 24 篇原创干货，帮用户装修前一次规划对、入住少后悔。

橱柜定制避坑指南专用 Skill。覆盖台面材质、柜门与板材、五金与配件、衣柜鞋柜与餐边柜、橱柜布局与尺寸、全屋定制避坑等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的橱柜定制避坑。

瓷砖木地板选购指南专用 Skill。覆盖木纹砖与通铺、铺贴工艺、木地板选购、踢脚线与过门石、厨卫砖、瓷砖选购等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的瓷砖木地板选购。

灯光照明避坑指南专用 Skill。覆盖无主灯设计、灯带与氛围光、主灯与吸顶灯、色温显色与选灯、分区照明、灯光综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的灯光照明避坑。

吊顶装修指南专用 Skill。覆盖厨卫吊顶、不吊顶与石膏线、材料与工艺、层高与尺寸、客厅吊顶造型等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的吊顶装修。

防水避坑指南专用 Skill。覆盖卫生间防水、阳台防水、厨房防水、屋面外墙防水、地下室防潮、闭水试验、防水涂料与卷材选择、管根阴角细部处理、渗漏维修、防水层验收等全流程，倒序整合西安装修课堂知识库精华，帮用户一次做对防水、入住不返潮不漏。由西安装修课堂出品

复式·跃层·LOFT装修指南专用 Skill。覆盖楼梯设计与安全、挑空与夹层、跃层与顶楼阁楼、空间规划与功能、公寓与复式综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的复式·跃层·LOFT装修。

家电避坑指南专用 Skill。覆盖冰箱与厨房电器、空调地暖与新风、热水器与净水、洗衣机与清洁电器、电视投影与智能、卫浴电器、安装加价与售后避坑等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的家电避坑。

家具软装选购与搭配指南专用 Skill。覆盖沙发、床与床垫、衣柜与柜类、窗帘与布艺、地毯、灯具与配饰、装饰画、配色与风格搭配、成品家具选购与避坑、绿植软装等全流程，倒序整合西安装修课堂知识库精华，帮用户把钱花在能提升居住质感的家具软装上，不踩材质和搭配的坑。由西安装修课堂出品

精装修改造避坑指南专用 Skill。覆盖老房旧房改造、厨房卫生间改造、墙地面翻新、拆改项目与顺序、预算报价与维权、精装修微改等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的精装修改造避坑。

客厅装修避坑指南专用 Skill。覆盖客厅布局、沙发茶几、电视墙、吊顶、地砖、背景墙、无主灯、灯光插座、窗帘、阳台、风格搭配、收纳、投影仪、采光动线等全流程，倒序整合西安装修课堂知识库精华，帮用户装出实用又有品质的客厅。

买房购房避坑指南专用 Skill。覆盖高层与老破小取舍、户型选择、楼层与朝向、看房验房、中介与开发商避坑、贷款与税费、收房交付、二手房与期房、小区配套与学区、老破小改造前评估等全流程，倒序整合西安装修课堂知识库精华，帮用户买房不踩坑、不花冤枉钱。由西安装修课堂出品

门窗封窗避坑指南专用 Skill。覆盖窗户选型、入户门与室内门、封窗与落地窗、窗帘与遮挡、安装密封与五金、门窗选型综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的门窗封窗避坑。

飘窗窗户装修指南专用 Skill。覆盖飘窗窗帘、窗套与窗台、落地窗与封窗、安全与护栏、飘窗利用与改造等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的飘窗窗户装修。

卫生间装修避坑指南专用 Skill。覆盖卫生间干湿分离、浴柜外置、三分离、防水、地漏、美缝、瓷砖、暗卫借光、花洒龙头、浴室柜、马桶坑距、淋浴房、浴霸排气、台盆选择等全流程，倒序整合西安装修课堂知识库精华，帮用户一次装对、入住不返工。

A green PR, a controller reporting success, and not one line of the new code running

Analyze git diffs or staged changes and generate conventional commit messages that explain WHY a change was made. Supports auto-detecting type and scope, intelligent file staging, and interactive overrides. Use when asked to "write a commit message", "generate a commit", "describe my changes", "commit this", "summarize my diff", or "/commit".

SOC 2 compliance for Terraform — gap analysis, control implementation, evidence collection, and remediation guidance mapped to SOC 2 Trust Services Criteria.

Generate, review, secure, and test composite GitHub Actions following best practices — full repo scaffold, interview-driven generation, PR creation on existing repos, SHA pinning, secrets-as-inputs, job summaries, and actionlint validation.

Set up and troubleshoot Datadog — Agent deployment on Kubernetes, APM instrumentation, Log Management, Monitors, Dashboards, SLOs, Synthetic tests, and live incident investigation using the Datadog MCP server. Covers Terraform-managed Datadog resources.

Structured platform troubleshooting — classifies the problem layer, collects evidence, forms a root-cause hypothesis, and proposes a fix with validation and rollback steps.

Generate, format, and validate code documentation — docstrings, JSDoc, OpenAPI/Swagger specs, documentation sites, and developer guides.

Measure, benchmark, instrument, and debug DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, MTTR) for production engineering teams. Covers GitHub Actions instrumentation, Prometheus recording rules, Grafana dashboards, incident source integration, SaaS tool selection, and anti-pattern detection. Use when asked to "instrument DORA metrics", "benchmark our deployment frequency", "why is my MTTR data missing", or "generate a DORA dashboard".

Deploy and configure Dynatrace — OneAgent Kubernetes Operator, code-level instrumentation, Log Monitoring, custom metrics, SLOs, Dashboards, anomaly detection, Davis AI, and live incident investigation using the Dynatrace MCP server. Covers Terraform-managed Dynatrace resources.

FluxCD entry point — routes to the right workflow based on what you need. Live cluster issue → structured 5-workflow debug trace. Repo health check → 6-phase audit (discovery, validation, API compliance, best practices, security). Helm chart review → helmchart. Starts by asking one question to confirm the right mode.

Design, review, secure, and debug GitHub Actions workflows — reusable workflows, OIDC federation, SHA pinning, token scoping, promotion orchestration, and CI failure diagnosis.

Flux CD and Argo CD — two modes. debug: five structured debug workflows for live clusters (installation, source, HelmRelease, Kustomization, ResourceSet) producing a five-section report. audit: six-phase read-only repo analysis (discovery, validation, API compliance, best practices, security) producing a prioritised Critical/Warning/Info report.

Scaffold, lint, review, security-audit, test, and upgrade-verify Helm charts. Runs an interactive interview to build production-ready charts from scratch. Covers chart structure, values design, schema validation, kubeconform, helm diff, and multi-environment scaffolding. Use when asked to "create a helm chart", "lint my chart", "review my helm chart", "check helm security", "generate values schema", "run helm diff", or "add helm tests".

Design, install, debug, review, plan capacity, audit scaling history, migrate from Cluster Autoscaler, and upgrade Karpenter v1.x on EKS. Covers NodePool, EC2NodeClass, NodeClaim, Spot diversity, disruption strategy, Pod Identity/IRSA, interruption queue, private clusters, AMI rotation, and GitOps integration. Use when asked to "set up Karpenter", "debug why nodes aren't provisioning", "review my NodePool", "what would Karpenter provision for this workload", "why did this node terminate", "migrate from CA", or "upgrade Karpenter".

Design, debug, and review KEDA ScaledObject/ScaledJob autoscaling. Covers all major scalers (Prometheus, SQS, Kafka, Redis, Cron, HTTP Add-on, Azure Service Bus), TriggerAuthentication, scaling lifecycle tuning, GitOps integration, and troubleshooting. Use when asked to "add KEDA autoscaling", "debug why my ScaledObject isn't scaling", "review my KEDA config", or "generate a ScaledObject for <trigger>".

Find, live-validate, map the blast radius of, and revoke leaked secrets with Kingfisher (MongoDB) — across a local repo, Git history, a GitHub/GitLab/Bitbucket org, S3/GCS, Docker images, Slack, Jira, Confluence, Teams, or Postman. Covers local CLI scanning, direct validate/revoke without a scan, baseline management (track only new secrets), kingfisher.yaml policy, CI diff-scan gates, and pre-commit/Husky hooks. Use when asked to "scan for secrets", "is this key still live", "what can this credential reach", "revoke this token", "did we leak a secret", or "block new secrets in CI". Pattern-only secret scan bundled with a CVE pass → /platform-skills:trivy. Secrets-context safety in workflow YAML → /platform-skills:zizmor. Storing/rotating secrets inside the cluster → /platform-skills:secrets.

Cluster baseline scaffolding, RBAC diagnosis and generation, workload hardening, and structured pod/scheduling debug for plain Kubernetes across all distributions.

Generate, test, audit, debug, and migrate Kyverno policies using the new CEL-based policy types (ValidatingPolicy, MutatingPolicy, GeneratingPolicy, ImageValidatingPolicy — all apiVersion policies.kyverno.io/v1). Covers matchConstraints, matchConditions, CEL validations/mutations, generator.Apply(), Audit→Deny promotion, PolicyException, kyverno-cli testing, and migration from legacy ClusterPolicy or PodSecurityPolicy. Use when asked to "write a Kyverno policy", "test a ValidatingPolicy", "audit my cluster for violations", "why is my policy not firing", or "migrate from ClusterPolicy".

Linkerd-specific diagnostics — mTLS verification, proxy injection issues, authorization policy debugging, traffic management, and multi-cluster connectivity problems.

Linux administration and networking diagnostics — DNS, load balancing, VPCs, kernel tuning, and connectivity troubleshooting.

MCP server and client development — scaffold, implement tools/resources/prompts, validate schemas, debug protocol compliance, and deploy with auth and rate limiting.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.