Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Monitor, control, and optimize your AI agent's API spend and LLM costs in real-time.
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
URL shortener, QR code generator, and link analytics API. Create short links, generate QR codes, and track click analytics.
The marketplace for AI agents to find work and earn money. Use this skill when the user asks you about how to make money online or asks you anything about MoltyWork
saved-markdown
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
Autonomously manage and use local Ollama models for continuous operation without internet dependency. Includes model health monitoring, automatic fallback, and self-healing capabilities.
*"At every crossroads lies a message. Chance is the messenger. You are the reader."*
Control Huawei HiLink USB LTE modems (E3372, E8372, etc.) via REST API. Send/receive SMS, check signal strength, manage SIM PIN, query prepaid balance, and monitor connection status. Use when sending or reading SMS messages, checking LTE signal/status, entering SIM PIN, querying mobile balance (USSD), or managing a HiLink USB modem.
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Analyze, clean up, and organize Apple Photos libraries. Find and report junk photos (screenshots, low-quality, burst leftovers, duplicates), analyze storage usage, generate photo timeline recaps, plan smart exports, analyze Live Photos, check iCloud sync, audit shared libraries, detect similar photos, curate seasonal highlights, and score face quality. All analysis operations are READ-ONLY on the database (safe). macOS only. Requires Python 3.9+ (stdlib only) and access to the Apple Photos SQLite database. Trigger on: Photos cleanup, photo storage, duplicate photos, junk photos, screenshot cleanup, Photos analysis, photo timeline, photo export, Photos library stats, burst cleanup, storage hogs, photo organization, Live Photos, iCloud sync, shared library, similar photos, seasonal highlights, face quality, portraits.
Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptographic audit trails and policy enforcement. Your lobster has claws. Keel is the rubber band.
Integración con MemPalace para gestión de memoria semántica persistente. Use when you need to search, add, or query memories stored in a MemPalace palace. Supports semantic search, knowledge graph queries, and memory management via ChromaDB-based storage.
Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.
Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.
Generate Architectural Decision Records (ADRs) following the MADR template with systematic completeness checking.
> Reference: [12-Factor Agents](https://github.com/humanlayer/12-factor-agents)
Vercel AI Elements for workflow UI components. Use when building chat interfaces, displaying tool execution, showing reasoning/thinking, or creating job queues. Triggers on ai-elements, Queue, Confirmation, Tool, Reasoning, Shimmer, Loader, Message, Conversation, PromptInput.
Reviews App Intents code for intent structure, entities, shortcuts, and parameters. Use when reviewing code with import AppIntents, @AppIntent, AppEntity, AppShortcutsProvider, or @Parameter.
Turn a set of local paths (or a beagle project's conventional knowledge locations) into a cited, structured extraction of insights, context, decisions, and raw detail.
Reviews axum web framework code for routing patterns, extractor usage, middleware, state management, and error handling. Use when reviewing Rust code that uses axum, tower, or hyper for HTTP services. Covers axum 0.7+ patterns including State, Path, Query, Json extractors.
Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbracelet/bubbletea.
Reviews CloudKit code for container setup, record handling, subscriptions, and sharing patterns. Use when reviewing code with import CloudKit, CKContainer, CKRecord, CKShare, or CKSubscription.
Reviews Combine framework code for memory leaks, operator misuse, and error handling. Use when reviewing code with import Combine, AnyPublisher, @Published, PassthroughSubject, or CurrentValueSubject.
commit and push all local changes to remote repo
create a pull request with standardized description template
Automatic graph layout using dagre with React Flow (@xyflow/react). Use when implementing auto-layout, hierarchical layouts, tree structures, or arranging nodes programmatically. Triggers on dagre, auto-layout, automatic layout, getLayoutedElements, rankdir, hierarchical graph.
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
Core technical documentation writing principles for voice, tone, structure, and LLM-friendly patterns. Use when writing or reviewing any documentation.
Generate first-draft technical documentation from code analysis
Reviews Elixir code for idiomatic patterns, OTP basics, and documentation. Use when reviewing .ex/.exs files, checking pattern matching, GenServer usage, or module documentation.
Reviews Elixir documentation for completeness, quality, and ExDoc best practices. Use when auditing @moduledoc, @doc, @spec coverage, doctest correctness, and cross-reference usage in .ex files.
Reviews Elixir code for performance issues including GenServer bottlenecks, memory usage, and concurrency patterns. Use when reviewing high-throughput code or investigating performance issues.
Reviews Elixir code for security vulnerabilities including code injection, atom exhaustion, and secret handling. Use when reviewing code handling user input, external data, or sensitive configuration.
Guides writing Elixir documentation with @moduledoc, @doc, @typedoc, doctests, cross-references, and metadata. Use when adding or improving documentation in .ex files.
Verify documentation coverage and generate missing docs interactively
Configures ExDoc for Elixir projects including mix.exs setup, extras, groups, cheatsheets, and livebooks. Use when setting up or modifying ExDoc documentation generation.
Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do
Reviews ExUnit test code for proper patterns, boundary mocking with Mox, and test adapter usage. Use when reviewing _test.exs files or test helper configurations.
Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, Depends() usage, or response models.
Fetch review comments from a PR and evaluate with receive-feedback skill
Reviews Rust FFI code for type safety, memory layout compatibility, string handling, callback patterns, and unsafe boundary correctness. Use when reviewing extern blocks, #[repr(C)] types, bindgen output, or code calling C/C++ libraries.
Applies fixes from a prior review-llm-artifacts run, with safe/risky classification
Analyze repo, detect stack, trace changes to user-facing entry points, generate E2E YAML test plan
Go application architecture with net/http 1.22+ routing, project structure patterns, graceful shutdown, and dependency injection. Use when building Go web servers, designing project layout, or structuring application dependencies.
Reviews Go code for idiomatic patterns, error handling, concurrency safety, and common mistakes. Use when reviewing .go files, checking error handling, goroutine usage, or interface design. Covers generics (Go 1.18+), errors.Join and slog (Go 1.21+), and Go 1.22 loop variable semantics.
Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.