发现 编程开发 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Validate both YAML frontmatter formats (SKILL.md for Claude Code) and IANA-registered project.faf formats. Use when user asks "validate my skill", "check YAML format", "is my SKILL.md correct", or needs to veri...
Improve project.faf AI-readiness score through guided enhancements. Identifies missing sections, suggests improvements, helps reach next Podium tier (Bronze→Silver→Gold→Trophy). Use when user asks "improve my s...
Expert in building n8n workflows from scratch. Use when creating new n8n workflows, adding nodes, connecting APIs, setting up webhooks, transforming data, or implementing automation patterns. Focuses on workflo...
Understand where FAF works - Claude Code (CLI + Skills), claude-faf-mcp (Desktop + MCP), vs claude.ai (web - file upload only). Explains faf-cli vs MCP differences, when to use each platform. Use when user asks...
Access FAF documentation, guides, and resources. Answers questions about The Reading Order, IANA registration, Podium scoring, format specification, and best practices. Use when user asks "how does FAF work", "...
Keep project.faf and CLAUDE.md in bidirectional sync using Context-Mirroring technology (8ms bi-sync). Maintains consistency between project DNA (project.faf) and workflow instructions (CLAUDE.md). Use when use...
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...
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation with Shannon quantitative validation by testing with subagents before wri...
Verify test quality by injecting mutations into code and measuring catch rate. Calculate mutation score (0.00-1.00) showing test effectiveness. Auto-generate missing tests to improve coverage. Integrate with Se...
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。