DevOps & Infra

mariot Skill

Spins up any combination of the XTM suite — OpenAEV, OpenCTI, or both — each as its own isolated Docker Compose stack with its own XTM Composer instance, from released images or a local build. Use when asked to test the suite end-to-end, run OpenAEV and OpenCTI together, or when the specific platform isn't yet decided.

mariot Skill

Spins up an isolated OpenAEV Docker Compose stack (Postgres, Silo/MinIO, RabbitMQ, Elasticsearch, Mailpit, XTM Composer) either from a released image or built from a local checkout, and reports the URL + admin credentials once healthy. Use when asked to run/test OpenAEV locally, verify a change against a live instance, or test a connector (injector, executor) end-to-end.

mariot Skill

Spins up an isolated OpenCTI Docker Compose stack (Redis, Elasticsearch, Silo/MinIO, RabbitMQ, worker, XTM Composer) from released images, and reports the URL + admin credentials once healthy. Use when asked to run/test OpenCTI locally, verify a connector, or test XTM Composer/OpenAEV interoperability against a real OpenCTI.

matsubo Skill

Update a Ruby project's gems to their latest versions with Bundler (bundle update), then fix the breaking changes that major version bumps introduce. Use when the user asks to update, upgrade or bump gems or dependencies, run bundle update or bundle outdated, refresh Gemfile.lock, or resolve failures that appeared after a gem upgrade — even if they do not mention Bundler by name. Covers Ruby projects with a Gemfile, including ones whose toolchain runs under Docker Compose. Not for npm packages, Python packages, or other ecosystems.

shwsgithub Bundle

S 스쿼드 백엔드 레포의 스테이징 배포 워크플로우. (1) 여러 레포 최신 마일스톤을 머지/대기로 슬랙 스레드에 정리, (2) dev 최신화 → release/test-staging 재생성·푸시(브랜치 감지) → 배포 PR 생성·공유, (3) talenx-log ApiSpec(swagger) 동기화(노이즈 diff 제거). release/test-staging 브랜치는 매 사이클 시작 시 재생성(직전 잔재는 그때 삭제). "마일스톤 정리해서 스레드 올려", "배포 상황 업뎃", "배포 PR 만들어", "스테이징 배포하자", "talenx-log api spec 업데이트/동기화" 같은 요청에 응한다.

ntphat0322 Skill

ck:fix — Structured Bug-Fix Pipeline

ntphat0322 Skill

ck:cook — Structured Implementation Pipeline

ntphat0322 Skill

Plan a feature or system before implementation. Use when the user says "plan this", "I want to build X", "how do I implement Y", or when /ck:brainstorm produces a spec.md. Always run before /ck:cook. Auto-detects --fast (simple, single-file) vs --hard (multi-file, novel domain, security-sensitive). Flags --no-test and --tdd propagate into the cook pipeline.

specsnl Skill

Use this skill when working with Specsnl PHP Docker images. It covers what the images are, their repository structure and variants, which PHP versions are maintained, and how to locate sibling images both on GitHub and locally.

specsnl Skill

Use this skill after every code change in a repository to discover and run all CI checks locally before finishing work. Triggers automatically after completing any code edit, bug fix, refactor, or feature implementation. Also triggers when the user says "run the checks", "make sure everything is green", "verify the build", or "are the tests passing?". This skill reads .github/workflows and the Taskfile to discover what checks exist, runs everything that can be run locally (tests, linters, static analysis), attempts to auto-fix any failures, and reports checks that require cloud/secrets so the user is aware. For PHP/Laravel repositories it hands off the concrete commands to the `php-checks` skill. Never consider a task done until all locally runnable checks pass.

specsnl Skill

REQUIRED: Execute this skill before running ANY project commands (composer, npm, php, docker, etc.). This ensures all commands run safely through the Taskfile. Do not run docker compose, npm, php, or composer directly on the host.

specsnl Skill

Use this skill to automatically fix misaligned markdown tables in .md files. Triggers after editing any markdown file that contains a table, before finishing documentation work, or when the user says "fix the tables", "align the markdown tables", or "format the markdown". Runs markdown-table-formatter via the project's `md:fix-tables` task, or via Docker when the project has no Taskfile, so columns are properly padded and aligned. After running, always review the diff to confirm only formatting changed — no content should be altered.

mister2d Bundle

Fast multi-source web research pipeline (SearXNG → BM25 ranking → Crawl4AI → chunk ranking). Use for broad research questions that require searching across the open web. For deep crawling of a specific known domain or site, use the crawl4ai skill after this one surfaces the right entry URL.

mister2d Bundle

NixOS Architect SME for migrating any NixOS flake codebase to the Den (Dendritic Nix) aspect-oriented, context-driven configuration model. Use this skill for ANY of: den migration, dendritic nix, aspect-oriented NixOS config, den flake setup, writing den aspects, converting NixOS modules to aspects, den context pipeline questions, nix-nexus-style migrations, Home Manager unification, guarded forwarding, den schema, den templates, den provides, NixOS platform engineering, HPC NixOS fleet management, or any request that involves den/dendritic patterns even if not stated explicitly. Trigger immediately when the user mentions den, dendritic, aspects, context pipeline, or any phased NixOS migration.

mister2d Bundle

Update the devenv environment-generator skill to a newer devenv release. Use when asked to 'bump devenv', 'update the skill to the latest devenv', 'devenv X.Y released — update the skill', 'check if devenv has a new version', or to audit the skill against current devenv docs. Runs a scout/map → audit → scope → parallel write → verify → merge pipeline with fixed report schemas and a written merge gate.

isaacbell Bundle

Overview of Neon, a complete set of cloud backend primitives for apps and agents, spanning Lakebase Postgres, Auth, the Data API, Object Storage, Compute Functions, and the AI Gateway. Start here to route to the right Neon skill, set up the CLI or MCP server, and follow the branch-first workflow. Use when "Neon" or "Lakebase Postgres" is mentioned, or when any of its individual capabilities are the trigger: "object storage" or "S3", "buckets", "serverless functions", "AI gateway", "call an LLM", "logs", "branch logs", "query logs", "log export", "Loki", "Grafana", "observability", "telemetry", "postgres", "database", or "backend". Also use when there is no Neon account yet, the user cannot sign in or provide an API key right now and needs a project they can claim later, or the user asks for a throwaway DATABASE_URL, Claimable Neon, Claimable Postgres, neon.new, claimable.neon.tech, instant Postgres, a no-signup database, temporary postgres, quick postgres, a no credit card database, or npx neon-new.

waseemnasir2k26 Skill

Use to deploy a static site folder to Vercel and return the live production URL. Runs the vercel CLI (must already be logged in). Called as step 3 of the launch chain.

waseemnasir2k26 Skill

Use when the user says "/launch", "launch <niche>", or asks to research, build, AND deploy a landing page for a business/niche from scratch in one command. Orchestrates three skills end-to-end — research → write → deploy — and returns a live URL.

rolinshmily Bundle

Automated video localization, multi-engine ASR speech-to-text, subtitle translation, and dual-version FFmpeg hardsub release pipeline for YouTube, X (Twitter), and other streaming media. Use whenever the user requests downloading a video, generating bilingual or Chinese subtitles, translating YouTube/X content, transcribing audio, or creating ready-to-publish release videos.

clickzetta Bundle

ClickZetta Lakehouse data warehouse modeling wizard: explores the data landscape, then designs layered models (Traditional DW ODS/DWD/DWS/ADS, Medallion, or hybrid) with DDL and pipeline config together. Presents justified recommendations — never asks questionnaire-style questions. Core principle: use Dynamic Table for aggregation layers, not Materialized View. Trigger when the user says: "data warehouse modeling", "layering design", "ODS/DWD/DWS", "Medallion", "Bronze/Silver/Gold", "fact table", "dimension table", "star schema", "layered architecture", "modeling wizard", "build a data warehouse", "DW architecture", "design my data layers". Keywords: data warehouse, modeling, star schema, medallion, ODS, DWD, DWS, ADS, layering

clickzetta Bundle

Create and manage ClickZetta Lakehouse multi-table real-time sync (CDC) tasks, syncing MySQL/PostgreSQL databases to Lakehouse. Three sync modes: full database mirror, multi-table mirror, sharded table merge. Binlog/WALs-based with full load + incremental sync. Triggered when the user says "multi-table real-time sync", "full database sync", "database mirror", "CDC full database", "multi-table CDC", "sharded table merge", "MySQL full database sync", "PostgreSQL full database sync", "database migration", "sync operations", "sync SOP", "Binlog position expired", "full re-sync", "add sync table". Covers source DB preparation, sync mode selection, task deployment, operations SOP, monitoring/alerting, and troubleshooting — all ClickZetta Studio specific logic. Keywords: CDC, real-time sync, MySQL, PostgreSQL, change data capture, mirror, merge, multi-table

clickzetta Bundle

Create and use External Functions (custom UDFs) in ClickZetta Lakehouse using Python or Java, deployed on Alibaba Cloud FC / Tencent Cloud SCF / AWS Lambda. Covers CREATE API CONNECTION (TYPE CLOUD_FUNCTION), CREATE EXTERNAL FUNCTION, Python/Java UDF code structure and packaging. Keywords: external function, UDF, Python UDF, Java UDF, custom function, cloud function

clickzetta Bundle

Create and manage ClickZetta Lakehouse batch sync tasks, supporting both single-table and multi-table modes. Single-table mode is suitable for simple source-to-target table sync; multi-table mode supports full database mirror, multi-table mirror, and sharded table merge. Triggered when the user says "batch sync", "offline sync", "sync database to Lakehouse", "full database migration", "multi-table sync", "periodic sync", "scheduled data sync", "sharded table merge", "offline data migration". Covers single-table/multi-table batch sync task creation, data source configuration, column mapping, sync rules, scheduling, deployment, and task operations — all ClickZetta Studio specific logic. Keywords: batch sync, offline sync, full load, mirror, multi-table sync, scheduled sync

clickzetta Bundle

Publish all dbt models to Studio as assets and configure scheduled execution. All dbt model SQL code is centrally managed in Studio; models needing periodic execution get scheduling configuration. Reads dbt manifest.json, rewrites incremental SQL for scheduling parameters, guides user confirmation, then deploys automatically. Trigger when the user wants dbt models to run or be scheduled in Studio — mentions "publish dbt to Studio", "dbt scheduling", "dbt asset management", "dbt manifest", "dbt Studio tasks", "dbt pipeline deployment", or asks "how do I schedule dbt". Keywords: dbt Studio, publish dbt, dbt scheduling, dbt manifest, Studio asset, dbt deployment

clickzetta Bundle

Build ClickZetta object storage (OSS/S3/COS) data ingestion pipelines, covering both continuous ingestion (PIPE) and one-time batch import scenarios. Continuous ingestion supports LIST_PURGE scan mode and EVENT_NOTIFICATION message notification mode; batch import supports Volume + INSERT INTO and Volume + COPY INTO methods. Triggered when user says "object storage import", "OSS data pipeline", "S3 data import", "PIPE continuous ingestion", "auto file loading", "bucket data sync", "COS import", "batch import from OSS", "load data from OSS", "Volume import". Includes PIPE continuous ingestion (two INGEST_MODEs), batch import (Volume + COPY/INSERT), Connection/Volume creation, monitoring and management — all ClickZetta-specific logic. Keywords: OSS, S3, COS, object storage, PIPE, COPY INTO, file ingestion

clickzetta Bundle

Manage ClickZetta Studio tasks: data development (SQL/Python/Shell), batch sync (INTEGRATION/MULTI_DI), real-time CDC (MULTI_REALTIME), Kafka streaming (REALTIME), and composite Flow DAGs. Covers folder organization, 7-field cron scheduling, dependency management, Python task creation (save-script), DRAFT/offline state control, and troubleshooting. Separates DDL (drafts) from ETL pipelines (scheduled). Trigger: "create Studio task", "task scheduling", "cz-cli task", "task dependency", "DDL task", "ETL orchestration", "sync task", "Flow task", "组合任务", "task cron", "save-script", "undeploy", "task failed", "batch sync", "CDC sync". Keywords: Studio task, task management, cz-cli task, scheduling, DAG, DDL draft, ETL pipeline, sync task, CDC, INTEGRATION, MULTI_DI, MULTI_REALTIME, REALTIME, Python task, save-script, undeploy, DRAFT, cron, Flow, composite task, 组合任务

clickzetta Bundle

Router skill: selects the best data ingestion method for ClickZetta Lakehouse based on data source, latency, sync scope, and continuity requirements. Routes to specialized skills: Kafka Pipe, OSS/S3/COS Pipe, Studio batch sync, Studio real-time sync, Studio CDC, file/URL import, or programmatic ingestion guidance. Trigger: user wants to get external data INTO Lakehouse but hasn't chosen a method, OR asks which ingestion approach fits their scenario. Covers: Kafka, MySQL, PostgreSQL, SQL Server, TiDB, OSS, S3, COS, local files, URLs, programmatic application writes, Python/ZettaPark. Does NOT cover: querying data, pipeline monitoring/diagnosis, Dynamic Table tuning, internal table transformations, or data export. Keywords: data ingestion, import, sync, ETL, migrate, load data, ingest, pipeline selection

clickzetta Bundle

Import data from URLs, local files, or Volume paths into ClickZetta tables. Covers the complete workflow: file download, format inference, table creation, COPY INTO import, and result verification. Includes ClickZetta USER VOLUME mechanism, COPY INTO syntax, format inference rules, and write mode semantics. Trigger when the user says: "import data", "load from URL", "upload CSV to table", "file import", "COPY INTO", "load file into Lakehouse", "import CSV", "import Parquet", "import JSON", "bulk load data", "load data from file", "ingest file", "PUT file", "upload to Volume". Keywords: file import, URL, CSV, JSON, Parquet, COPY INTO, Volume, bulk load

clickzetta Bundle

Manage ClickZetta Lakehouse SQL pipeline objects: Dynamic Table, Materialized View, Table Stream, and Pipe. Covers full lifecycle: create, modify, suspend/resume, drop, and status inspection. SQL commands only — no Studio GUI involved. Trigger when the user says: "create dynamic table", "create materialized view", "create pipe", "create table stream", "suspend/resume dynamic table", "view refresh history", "change refresh interval", "ingest from Kafka", "continuous ingest from object storage", "CDC change capture", "incremental compute", "real-time ETL", "data pipeline", "pipeline", "streaming", "dynamic table refresh failed", "design ETL", "build data pipeline", "data ingestion plan", "Medallion Architecture", "Bronze Silver Gold", "lakehouse layering", "Bronze layer", "Silver layer", "Gold layer". Keywords: SQL pipeline, dynamic table, materialized view, table stream, Pipe, data pipeline

cheshirejcat Bundle

End-to-end production workflow guidance for Blender — the order to assemble scenes (block-out → camera → light → forms → materials → detail → render → composite → export), critique protocols, time budgets, and recovery patterns. Use whenever the user asks to "make a complete scene / hero shot / production-quality render", "what's the right order to do this", "set up a full pipeline", or has a multi-step request crossing modeling + lighting + materials + rendering. Make sure to use this skill for any request that spans multiple phases of 3D work, even if the user does not say "workflow" — also covers "make a final image of X", "produce a hero render", "professional-looking result".

cheshirejcat Bundle

Harmonize multiple Blender skills into a coherent pipeline with clear activation precedence, handoff artifacts, dependency gates, and conflict-resolution rules. Use when a Blender task spans several skills, when reference-locked work conflicts with generic production workflow, after adding/updating skills, or when repeated failures indicate skill interference or missing inter/intra-play.

clickzetta Bundle

Build and manage ClickZetta Table Stream change data capture pipelines, covering source change tracking, Stream creation, offset management, and idempotent incremental-ETL consumption. Includes change tracking setup, mode selection, metadata field usage — all ClickZetta-specific logic. Trigger when the user says: "create Table Stream", "Table Stream CDC", "Table Stream pipeline", "Table Stream incremental consumption", "Stream consumption", "change data capture", "capture table changes", "CDC with Table Stream", "incremental ETL from table", "track row changes", "consume stream data", "stream offset". Keywords: table stream, CDC, change capture, incremental ETL, stream, offset

clickzetta Bundle

Create and manage ClickZetta Lakehouse real-time sync tasks (single-table), syncing data from external sources to Lakehouse in real time. Supports Kafka, MySQL, PostgreSQL, and other data sources as the source, with Lakehouse as the target. Real-time sync tasks are continuously running streaming tasks — no scheduling required; they start running upon submission. Triggered when the user says "Studio real-time sync", "realtime sync", "single-table CDC sync", "real-time data sync", "Kafka real-time sync to Lakehouse", "MySQL single-table real-time sync", "single-table real-time sync", "real-time data migration". Covers real-time sync task creation, data source configuration, column mapping (including JSONPath computed columns), deployment, and operations — all ClickZetta Studio specific logic. Keywords: real-time sync, single table, Kafka source, MySQL source, streaming, CDC

deccansoftaiteam Bundle

This skill should be used when the user asks to "deploy OpenClaw to Azure", "run OpenClaw on Azure Container Apps", "host my OpenClaw bot on Azure", "set up OpenClaw with Telegram and LiteLLM on Azure", or needs a guided, correct OpenClaw -> Azure Container Apps deployment. Walks through preflight, BuildKit image build in ACR, a persistence choice (cheap local+SMB-sync or premium NFS+VNet), the Container App deploy, and verification — and avoids the Azure Files SMB hard-link trap, the IPv6 egress stall, and the missing gateway.mode failure.

bin-h-17 Bundle

本地优先的「科研模拟面试」Hermes Skill。面向保研/申博/科研岗求职/答辩组会/海外 PhD 场景，基于候选人真实科研资料进行 AI 模拟面试，含讲项目·代码硬阻塞追问、评分、短板库沉淀与复盘报告。本地单租户、可删除、无遥测、不出域；LLM 后端可插拔（mock 离线 / ollama 本地 / cloud BYOK）。当用户提到「模拟面试」「科研面试」「保研面试」「申博面试」「面试复盘」「短板库」「科研背题」或希望用 AI 演练科研类面试时使用本 Skill。

terrasnail Skill

Plans and runs a multi-agent pipeline for a development task. Use when work should fan out across agents, repeat the same step over many items, be cross-checked by independent reviewers, or pause for human sign-off between stages.