asc-crash-triage
Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
asc-id-resolver
Resolve App Store Connect IDs (apps, builds, versions, groups, testers) from human-friendly names using asc. Use when commands require IDs.
asc-localize-metadata
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.
asc-metadata-sync
Sync and validate App Store metadata and localizations with asc, including legacy metadata format migration. Use when updating metadata or translations.
asc-notarization
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
asc-ppp-pricing
Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.
asc-xcode-build
Build, archive, export, and manage Xcode version/build numbers with asc and xcodebuild before uploading to App Store Connect. Use when you need to create an IPA or PKG for upload.
customaize-agent:create-hook
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
kaizen:plan-do-check-act
Iterative PDCA cycle for systematic experimentation and continuous improvement
kaizen:root-cause-tracing
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
kaizen:why
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
mcp:build-mcp
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
mcp:setup-arxiv-mcp
Guide for setup arXiv paper search MCP server using Docker MCP
mcp:setup-codemap-cli
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
mcp:setup-context7-mcp
Guide for setup Context7 MCP server to load documentation for specific technologies.
mcp:setup-serena-mcp
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
reflexion:critique
Comprehensive multi-perspective review using specialized judges with debate and consensus building
reflexion:memorize
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
reflexion:reflect
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
sadd:do-and-judge
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
sadd:do-competitively
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
sadd:do-in-parallel
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
sadd:do-in-steps
Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification
sadd:judge-with-debate
Evaluate solutions through multi-round debate between independent judges until consensus
sadd:judge
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
sadd:launch-sub-agent
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
sadd:multi-agent-patterns
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
sadd:subagent-driven-development
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
sadd:tree-of-thoughts
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation
sdd:add-task
creates draft task file in .specs/tasks/draft/ with original user intent
sdd:brainstorm
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
sdd:create-ideas
Generate ideas in one shot using creative sampling
sdd:implement
Implement a task with automated LLM-as-Judge verification for critical steps
sdd:plan
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task
tdd:fix-tests
Systematically fix all failing tests after business logic changes or refactoring
tdd:test-driven-development
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first
tdd:write-tests
Systematically add test coverage for all local code changes using specialized review and development agents. Add tests for uncommitted changes (including untracked files), or if everything is commited, then will cover latest commit.
tech-stack:add-typescript-best-practices
Setup TypeScript best practices and code style rules in CLAUDE.md
code-review:review-local-changes
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
code-review:review-pr
Comprehensive pull request review using specialized agents
customaize-agent:agent-evaluation
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
customaize-agent:apply-anthropic-skill-best-practices
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
customaize-agent:context-engineering
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
customaize-agent:create-agent
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
customaize-agent:create-command
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
customaize-agent:create-rule
Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.
customaize-agent:create-skill
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
customaize-agent:create-workflow-command
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
customaize-agent:prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
customaize-agent:test-prompt
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
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