发现 商业与营销 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。
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...
Use before skill deployment to verify pressure resistance via TDD RED-GREEN-REFACTOR cycle with Serena metrics tracking - measures compliance score (0.00-1.00) across pressure scenarios
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically with Shannon quantitative analysis, executes tasks in complexit...
Autonomous task execution with library discovery, 3-tier validation, and atomic git commits. Integrates with Shannon CLI Python modules for platform-specific execution. Invokes /shannon:wave for code generation...
Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prev...
Use when needing to discover available skills across project/user directories - automatically scans for SKILL.md files, parses YAML frontmatter, extracts metadata (name, description, type, MCP requirements), an...
Track performance benchmarks and detect regressions exceeding 10% threshold. Analyze historical trends and alert on degradation. Calculate regression score (0.00-1.00) for performance health. Integrate with Ser...
Use when about to claim work is complete, fixed, passing, or successful, before committing or creating PRs - requires running verification commands and confirming output before making ANY success claims; eviden...
FLEXIBLE skill orchestrating comprehensive analysis workflows. Adapts to analysis type (codebase, architecture, technical debt, complexity) and automatically invokes appropriate sub-skills (spec-analysis, proje...
Use at development completion - guides branch integration with Shannon 3-tier validation (0.00-1.00 readiness score), MCP merge pattern analysis, and Serena risk assessment
Intelligent MCP server recommendation engine based on quantitative domain analysis. Maps project domains (Frontend %, Backend %, Database %, etc.) to appropriate MCP servers using tier-based priority system (Ma...
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 with quantitative tracking, adding instrumentation when n...
Restore previous session state from Serena MCP checkpoints. Retrieves checkpoint by ID or auto-selects most recent, deserializes context, restores command/skill/phase/wave state. Use when: resuming after contex...
8-dimensional quantitative complexity analysis with domain detection. Analyzes specifications across structural, cognitive, coordination, temporal, technical, scale, uncertainty, dependency dimensions producing...
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。