Skills de Claude Code · página 125

Generates CQRS Commands with Handlers, Validators, and Request DTOs following Clean Architecture patterns. Commands represent actions that modify state and return Result types for proper error handling.

Generates CQRS Queries with Handlers and Response DTOs for read operations. Uses Dapper for optimized read queries, bypassing the domain model for better performance.

Generates Domain Entities following DDD principles with factory methods, private setters, domain events, and proper encapsulation. Supports aggregate roots, child entities, and value objects.

Generates Repository interfaces and implementations following the Repository pattern. Provides data access abstraction for aggregate roots with EF Core implementations.

Generates Entity Framework Core configurations using Fluent API. Maps domain entities to database tables with proper relationships, constraints, and conventions.

Generates RESTful API Controllers with proper routing, versioning, authorization, and MediatR integration. Follows REST conventions and Clean Architecture patterns.

Generates Minimal API endpoints following Microsoft's recommended approach. Creates fast, testable HTTP APIs with minimal code using MapGet/MapPost/MapPut/MapDelete. Preferred over controller-based APIs for new projects.

Implements the Result pattern for explicit error handling without exceptions. Provides Result, Result<T>, and Error types for clean, predictable control flow in domain-driven applications.

Generates Domain Events and their handlers following DDD patterns. Implements event raising in entities, MediatR notification handlers, and the Outbox pattern for reliable event processing.

Generates MediatR Pipeline Behaviors for cross-cutting concerns like logging, validation, exception handling, caching, and performance monitoring. Implements the decorator pattern around handlers.

Generates FluentValidation validators for commands and queries. Includes common validation rules, custom validators, async validation, and integration with MediatR pipeline behaviors.

Configures JWT Bearer authentication for .NET APIs. Includes token generation, validation, refresh tokens, and user context extraction from claims.

Implements permission-based authorization with custom attributes, policy providers, and authorization handlers. Provides granular access control beyond simple role-based authorization.

Implements the Outbox pattern for reliable domain event processing. Ensures events are persisted in the same transaction as the aggregate changes and processed asynchronously with guaranteed delivery.

Generates scheduled background jobs using Quartz.NET. Includes job definitions, triggers, cron scheduling, dependency injection, and persistent job store configuration.

Implements email service abstraction with SendGrid provider. Includes template support, localization, async sending, and domain event integration for transactional emails.

Implements email service using AWS SES for .NET APIs. Designed for applications with HTML template support, placeholder replacement, and Result pattern error handling.

Configures health checks for database, external services, and custom application checks. Provides liveness and readiness endpoints for container orchestration.

Generates audit trail infrastructure for entities. Implements IAuditable interface, EF Core SaveChanges interceptor, and automatic population of CreatedAt, UpdatedAt, CreatedBy, and UpdatedBy fields.

Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.

Implements the Specification pattern for encapsulating query logic. Enables composable, reusable, and testable query criteria with support for includes, ordering, and pagination.

Generates unit tests for command and query handlers using xUnit and NSubstitute. Implements Arrange-Act-Assert pattern with comprehensive test coverage for success and failure scenarios.

Configures integration tests with WebApplicationFactory and Testcontainers. Provides test database setup, authentication helpers, and utilities for testing API endpoints with real dependencies.

Configures structured logging with ILogger<T> and ILoggerFactory following Microsoft best practices. Includes Serilog setup, log enrichment, and logging source generators for high-performance logging.

Implements ASP.NET Core rate limiting middleware for API protection. Covers fixed window, sliding window, token bucket, and concurrency limiters with custom policies.

PostgreSQL database design best practices, naming conventions, indexing strategies, and performance optimization for .NET applications using Npgsql and EF Core.

SQL Server database design best practices, naming conventions, indexing strategies, and performance optimization for .NET applications using Microsoft.Data.SqlClient and EF Core.

Implements the Options pattern for strongly-typed configuration in .NET. Covers IOptions<T>, IOptionsSnapshot<T>, and IOptionsMonitor<T> with validation and reload support.

Audit designs against 19 rules across Figma files and code (HTML/CSS/React/Vue/Tailwind). Auto-detects framework and design system (MUI, Chakra, shadcn/ui, Ant Design, Radix, Bootstrap). Runs code superpowers across all 19 categories: aria, focus, contrast, tokens, responsive, motion, forms, navigation, spacing, states, microcopy, elevation, iconography/SVG. Flags color blindness risk. Audits dark patterns, ethical design, Nielsen's heuristics. Outputs before/after diffs, developer handoff reports, wireframe-to-spec. English and Korean. Triggers on: check my design, review my UI, audit my layout, is this accessible, design review, color contrast, WCAG, a11y, pixel perfect, Figma audit, CSS check, dark patterns, is this GDPR compliant, is this manipulative, is my form accessible, is my dark mode correct, wireframe to spec, heuristic review, Nielsen audit, usability heuristics, 디자인 검토, 접근성 확인, 색상 대비, 다크 패턴, 와이어프레임 스펙.

Syncs agent daily memory and MEMORY.md to an Obsidian vault so notes are human-browsable. Use nightly or on demand.

Structured ideation before any implementation. Use when starting any non-trivial task.

Scaffolds and validates new superpowers skills. Use when creating a new skill for this repository.

Executes plans task-by-task with verification. Use when implementing a plan.

Triggers a secondary verification pass for any agent output containing factual claims, numbers, dates, or named entities before the output is acted on

Crawls a new codebase to infer stack, conventions, and key invariants, then generates a PROJECT.md context file for the agent

Handles PR review feedback by fetching comments, grouping issues, fixing one group at a time, and verifying before replies.

Detects skill name shadowing and description-overlap conflicts that cause OpenClaw to trigger the wrong skill or silently ignore one when two skills compete for the same intent.

Reviews whether a skill will trigger reliably, guide useful behavior, avoid overlap, and produce testable outcomes.

Validates that a skill's companion scripts declare their OS and binary dependencies correctly, and checks whether those dependencies are actually present on the current machine.

Scores a skill's description field against sample user prompts to predict whether OpenClaw will correctly trigger it — before you publish or install.

Reviews a ClawHub skill's source code for security risks before installation. Use before installing any new skill.

Parallel subagent execution for complex tasks. Use when a task has independent parallel workstreams.

4-phase root cause process before any fix. Use whenever you encounter an error.

Red-green-refactor discipline. Use when writing new functionality.

Bootstrap skill — teaches the agent how to find and invoke skills. Use when starting any new task or session.

Ensures tasks are actually done, not just attempted. Use before declaring any task complete.

Creates clear, reviewable implementation plans before executing. Use after brainstorming and before writing any code.

Detects when the agent is stuck in a loop and escapes systematically. Use when you notice repeated failures or loss of direction.

Writes a resumé card at session end so context survives channel switches — and auto-injects it as a primer at the start of any new session

Searches Reddit communities for OpenClaw pain points and feature requests, scores them by signal strength, and writes a prioritized PROPOSALS.md for you to review and act on.

Monitors memory compaction for failures and enforces a three-level fallback chain — normal, aggressive, deterministic truncation — ensuring compaction always makes forward progress.

Scans OpenClaw config directories for plaintext API keys, tokens, and secrets in unencrypted files — flags exposure risks and suggests encryption or environment variable migration.

Scores how well the current context represents the full conversation — detects information blind spots, stale summaries, and coverage gaps that cause the agent to forget critical details.

Proactively monitors estimated token usage during long sessions and triggers context-window-management before overflow, not after. Use at the start of any session expected to last more than 30 minutes.

Prevents context overflow on long-running OpenClaw sessions. Use when approaching context limits.

Audits cron-scheduled skills for session mode, token waste, and cost efficiency — and enforces concise-reply constraints on cron contexts

Walks the memory DAG to recall detailed context on demand — query, expand, and assemble cited answers from hierarchical summaries without re-reading raw transcripts.

End-of-day structured summary and next-session prep. Use at the end of each working day or significant work block.

Intercepts irreversible or destructive actions and requires explicit user confirmation before proceeding

YAML-based delegation grant ledger — issues, validates, and tracks scoped permission grants for sub-agent expansions with token budgets and auto-expiry.

Enforces per-skill execution budgets for scheduled cron skills — pauses runaway skills that exceed their token or wall-clock budget before they drain your monthly API allowance.

Weekly audit of all installed third-party and community skills for malicious patterns, stale credentials, and drift from last-known-good state.

Detects oversized files that would blow the context window, generates structural exploration summaries, and stores compact references — preventing a single paste from consuming the entire budget.

Breaks multi-hour tasks into checkpointed stages with resume capability. Use when a task is expected to take more than 30 minutes or multiple sessions.

Detects infinite tool-call retry loops from deterministic errors and breaks them before they drain context or budget

Monitors MCP server connections for health, latency, and availability — detects stale connections, timeouts, and unreachable servers before they cause silent tool failures.

Builds hierarchical summary DAGs from MEMORY.md with depth-aware prompts — leaf summaries preserve detail, higher depths condense to durable arcs, preventing information loss during compaction.

Parses OpenClaw's flat MEMORY.md into a structured knowledge graph — detects duplicates, contradictions, and stale entries, then builds a compressed memory digest optimized for system prompt injection.

Validates memory summary DAGs for structural integrity — detects orphan nodes, circular references, token inflation, broken lineage, and stale summaries that corrupt the agent's memory.

Compiles a daily morning briefing from active tasks, priorities, and pending items. Use at the start of each working day.

Orchestrates multiple parallel OpenClaw agents — tracks health, detects timeouts, reconciles conflicting outputs, and manages structured handoffs

Diagnoses OpenClaw provider, fallback, channel, MCP, and gateway config issues with read-only scans and stateful summaries.

Keeps OpenClaw's memory store clean, structured, and useful. Use at session end and during periodic maintenance.

Detects and intercepts prompt injection attempts in external content before the agent acts on them

Tracks required validation gates, records pass/fail/waived results, and reports readiness before task completion.

Audits which skills have access to secrets, flags stale or unrotated credentials, and prompts rotation. Use weekly to keep credentials clean.

Imports OpenClaw session transcripts into a local SQLite database with FTS5 full-text search — the agent never loses a message, even after context compaction or session rollover.

Checks whether installed skills are compatible with the current OpenClaw version and flags skills that require runtime features not present in your installation.

Diagnoses silent skill discovery failures — YAML parse errors, path violations, schema mismatches — so broken skills don't disappear without a trace.

Manages named skill profiles (loadouts) so you can switch between focused skill sets and prevent system prompt bloat from too many active skills.

Tracks cumulative API spend against a monthly budget and pauses non-essential automations when thresholds are crossed

Gracefully hands off incomplete tasks across agent restarts. Use when work must be paused mid-task.

Analyzes skill descriptions for trigger quality — scores clarity, keyword density, and specificity, then suggests rewrites that improve discovery accuracy.

Chains multiple skills into a named multi-step workflow with conditions and state tracking. Use when a recurring task requires the same sequence of skills every time.

Detects drift or tampering in SOUL.md, AGENTS.md, MEMORY.md, and other critical workspace files and prompts recovery

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement). Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template

Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model, including financial-model integrity checks like BS balance, cash tie-out, and logic sanity. Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", and "model review".

Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on "clean this data", "clean up this sheet", "normalize this data", "fix formatting", "dedupe", "standardize this column", and "this data is messy".

Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format.

Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.

This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.

Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck. Also triggers on "who are the competitors to X", "benchmark X against peers", "build a market map", or any request to systematically evaluate competitive dynamics across an industry.

Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.

Investment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for (1) number consistency across slides, (2) data-narrative alignment, (3) language polish against IB standards, (4) visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck, pitch, or client materials — including requests like "check my numbers", "reconcile figures across slides", "is this client-ready", or "what am I missing before I send this out".

Operating doctrine for AI-era enterprise sales. Use when an agent works on accounts, deals, outreach, coaching, or pipeline — any revenue-affecting decision.

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Use when the user wants to set up a new project or add enforcement tooling (TDD, secret scanning, file size limits, git hooks, CLAUDE.md templates) to an existing project. Also use when the user says "bootstrap", "scaffold", "set up my project", or "add quality enforcement".

Turn Markdown outlines, notes, docs, or plans into an interactive mind map — a single self-contained HTML file that opens offline anywhere (markmap.js, white-on-dark, zoom/expand/export toolbar, search that keeps matches in context). Use whenever the user asks for a mind map, markmap, or concept map, wants to visualize or diagram the structure of a document or topic, summarize notes as a navigable tree, make an outline clickable or explorable, or embed such a map in Streamlit — even when they don't literally say 'mind map'.

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