浏览 krzemienski 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
56收录技能的仓库 Stars 合计
64仓库 Forks
8平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Use when starting Metro bundler for Expo development, debugging Metro errors, or enabling expo-mcp local capabilities - manages Metro lifecycle with EXPO_UNSTABLE_MCP_SERVER=1 flag for autonomous testing
Use when developing React Native components, installing packages via expo-mcp, implementing screens, or following RN best practices - integrates expo-mcp workflows (add_library, search_documentation) with produ...
Use when executing validation gates 3A, 4A, or 6A-E, verifying phase completion with expo-mcp visual testing, or encountering test failures - automates gate execution with expo-mcp autonomous verification and H...
Use when testing Claude Code Mobile app on iOS simulator with IDB CLI, when xc-mcp tools unavailable, or when needing testID-based UI automation - provides systematic workflow for finding elements by testID, ta...
Use when testing iOS apps on simulator, capturing screenshots for validation gates, automating UI testing with expo-mcp and xc-mcp, or verifying visual correctness - combines expo-mcp autonomous testing (React...
Use when testing WebSocket servers, validating message protocols, executing Gate 3A, or tempted to use mocks - enforces functional testing with wscat and real filesystem operations, NO MOCKS allowed
Use when implementing Claude API cost tracking, monitoring token usage, displaying cost metrics in Settings, or user asks about costs - calculates exact costs using $0.003/1k input and $0.015/1k output pricing...
Use when integrating Claude API with streaming responses, implementing tool execution in streams, tracking API costs, or encountering streaming errors - provides Anthropic SDK 0.30.1+ patterns with mandatory co...
QUANTITATIVE skill for validating wave deliverables against goal milestones using 0-100% alignment scoring. Prevents scope drift, detects misalignment, enforces goal-wave consistency. Requires goal-management f...
PROTOCOL skill for checkpoint-based context preservation using Serena MCP. Automatically creates checkpoints at wave boundaries and before PreCompact. Enables zero-context-loss multi-session work with structure...
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with Shannon quantitative analysis, exact file paths,...
Use when creating or developing ideas before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning with Shannon quantitative validation, alternat...
Use for implementation plans - dispatches fresh subagent per task with quality scoring (0.00-1.00), code review gates, Serena pattern learning, and MCP tracking
Use when analyzing critical documents, specifications, or large files (>3000 lines), before any synthesis or conclusions - enforces complete line-by-line reading with quantitative verification to prevent skimmi...
Context-aware task execution with Serena MCP backend. First time: Explores project, saves to Serena, runs spec if complex, executes waves. Returning: Loads from Serena (
Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through using Shannon validation gates to make bugs structurally im...
Systematic gap analysis for claimed vs actual work completion. Uses 100+ sequential thoughts to identify assumptions, partial completions, missing components, and rationalization patterns. Validates completion...
Detect OWASP Top 10 vulnerabilities via static analysis. Calculate security score (0.00-1.00) for code quality. Auto-generate remediation suggestions with implementation examples. Integrate with Serena for vuln...
Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without unders...
Generate 5-phase implementation plan with validation gates and resource allocation. Adapts phase count and timeline based on complexity score. Includes validation gates between phases. Use when: planning implem...
Military-style SITuation REPort protocol for multi-agent coordination. Enforces structured status reporting with 🟢🟡🔴 codes, quantitative progress (0-100%), blockers, dependencies, ETAs, and authorization cod...
Generates SHANNON_INDEX for 94% token reduction (58K → 3K tokens). Compresses large codebases into structured summaries with Quick Stats, Tech Stack, Core Modules, Dependencies, Recent Changes, and Key Patterns...
Use for 3+ independent failures - dispatches parallel subagents with Shannon wave coordination, success scoring (0.00-1.00) per domain, and MCP result aggregation
Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state changes, eliminating flaky tests with q...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。