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Assesses whether and how an existing mobile product should migrate to React Native. Use when auditing one or more product repositories for migration readiness, including products whose iOS, Android, and other clients live in separate directories or repositories; choosing brownfield, greenfield, or a checkpoint-based path; defining a representative trial; or preparing a baseline and ROI decision before implementation. When product scope or material evidence is unavailable, grills the stakeholder with exactly one question per turn instead of sending a questionnaire.

Stripe Agent Toolkit

A command line tool for setting up Stripe MCP server

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (bq), checking cluster cost budgets (gcloud billing), or diagnosing cost drivers like pod requests vs. actual utilization (kubectl top). Don't use for applying cost optimization changes, creating rightsizing manifests (VPA/MPA), or selecting ComputeClasses (use gke-cost-optimization instead).

Guide for upgrading Stripe API versions and SDKs

One-stop shop for building AI-powered products and businesses with Stripe.

Diagnoses and prevents vbarcontrolagent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbarcontrolagent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM troubleshooting or standard GKE node lifecycle operations.

One-stop shop for building AI-powered products and businesses with Stripe.

One-stop shop for building AI-powered products and businesses with Stripe.

Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or non-JobSet application issues.

One-stop shop for building AI-powered products and businesses with Stripe.

One-stop shop for building AI-powered products and businesses with Stripe.

Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.

One-stop shop for building AI-powered products and businesses with Stripe.

Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving ClientMessage/ServerMessage protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot generateContent, embeddings, image/video generation, or fine-tuning — use the gemini-api skill for those.

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.

A library of skills for the Gemini API, SDK and model interactions.

Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).

Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pgcron, pgmq), vector/semantic search (pgvector), and restoring dumps (pgrestore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.

Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.

Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK

Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.

Configure single-project Google Cloud Logging: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.

Build a self-contained, presentation-ready HTML slide deck with an editorial dark-keynote aesthetic, keyboard navigation, scroll-snap slides, and one-click PDF export. Use when someone asks to make a presentation, slide deck, keynote, or to turn notes into slides they will present live or share.

Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.

Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead).

Run Warden to analyze code changes before committing. Use when asked to "run warden", "check my changes", "review before commit", "warden config", "warden.toml", "create a warden skill", "add trigger", or any Warden-related local development task.

Harden a manifest-dev task guidance file for one-shot quality — either /define's quality-gate/Default set or figure-out's probe set. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage or "harden task file".

Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.

Autonomous software development workflows with minimal token usage via on-demand resource loading

Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, shorten, reduce tokens, tighten, maximize density, increase information density, or make a prompt more concise.

Sync the prompt-engineering plugin from a local clone of claude-code-plugins into .claude/ so the repo is self-contained for isolated/web environments. Copies agents/skills, removes only previously-synced items that disappeared upstream. Other content in .claude/ is left alone. Use when asked to sync claude-code-plugins, pull prompt-engineering, refresh prompt-engineering plugin.

Turn videos into a sequence of relevant still frames + transcript + a self-contained HTML report so Claude can view them as images, hear the audio, and write its analysis back into the report. Pass a local path, an http(s) URL, or pipe video bytes on stdin.

Generate multi-CLI distribution packages from the Claude Code plugin. Converts shared skills and package assets for OpenCode, Codex CLI, and Pi under dist/. Run after changing plugin components to keep distributions in sync.

A template for creating new Claude Code plugins

Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg.

Tools for working with prompts and PRs alongside the manifest workflow. Collaborative PR walkthroughs, autonomous PR review with per-comment verification, author-side PR babysitting via manifest-dev, gap-calibrated prompt engineering, cross-boundary context handoff, and incremental teaching for session work.

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth

Lossless context compression for Claude Code.

Lightweight loop harness with strict evidence gates — Claude Code edition.

CLI-first serial port debugging and macro automation with serial-mcp-server for Codex and Claude Code. Use when working with UART or USB-serial devices, listing serial ports, probing STM32/Arduino/ESP32 boards, writing or reading serial data, running JSON serial macros, controlling RTS/DTR, or using serial-mcp-server through MCP tools.

Durable MCP control plane for long-running Codex Desktop tasks.

Embedded debugger workflow for probe-rs targets. Provides a CLI-first skill and optional MCP server for probe discovery, target checks, flashing, memory access, and RTT workflows.

OKF-powered knowledge context for Claude Code — injects your project knowledge base at every session

한국 정부·공공기관 지원사업(창업지원, 사업화 자금, 입주공간, R&D, 바우처, 경진대회) 전수조사 및 프로젝트 적합성 판정 스킬. K-Startup·기업마당(bizinfo)·NIPA·KOCCA·SMTECH 공고를 크롤링해 현재 작업 폴더의 프로젝트(아이템) 프로필에 맞는 사업을 "즉시 지원 가능 / 요건 충족 시 / 변형하면 가능" 3단계로 분류하고 마감일·자격요건을 원문 검증해 보고서를 만든다. 사용자가 "지원사업 찾아줘", "정부지원", "창업지원 사업", "입주공간/사업화 자금 알아봐", "공모전/경진대회 조사", "우리 아이템에 맞는 지원사업", "K-Startup/기업마당 조사" 등을 요청하면 반드시 이 스킬을 사용한다. 이전에 조사한 적이 있는 프로젝트에서 "재조사", "새로 나온 지원사업 있나", "지난번 이후 뭐 올라왔나"를 물으면 diff 모드(증분 재조사)로 이 스킬을 사용한다. 특정 사이트를 지목하지 않아도 지원사업·보조금·정부과제 탐색 의도가 보이면 트리거된다. 한국 지원사업 전용.

A Symfony-focused toolkit for Claude Code providing TDD (Pest/PHPUnit), Doctrine ORM, API Platform, Messenger, Voters, quality checks (PHP-CS-Fixer/PHPStan), and pragmatic architecture patterns - Docker Compose and Symfony Docker (FrankenPHP) compatible