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krzemienski AI Skills

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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。

作者统计

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。

56 个技能

全部技能

GitHub

writing-skills

krzemienski

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...

GitHub

mutation-testing

krzemienski

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...

GitHub

testing-skills-with-subagents

krzemienski

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

GitHub

executing-plans

krzemienski

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...

GitHub

exec

krzemienski

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...

GitHub

memory-coordination

krzemienski

Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prev...

GitHub

skill-discovery

krzemienski

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...

GitHub

performance-regression-detection

krzemienski

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...

GitHub

verification-before-completion

krzemienski

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...

GitHub

shannon-analysis

krzemienski

FLEXIBLE skill orchestrating comprehensive analysis workflows. Adapts to analysis type (codebase, architecture, technical debt, complexity) and automatically invokes appropriate sub-skills (spec-analysis, proje...

GitHub

finishing-a-development-branch

krzemienski

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

GitHub

mcp-discovery

krzemienski

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...

GitHub

root-cause-tracing

krzemienski

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...

GitHub

context-restoration

krzemienski

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...

GitHub

spec-analysis

krzemienski

8-dimensional quantitative complexity analysis with domain detection. Analyzes specifications across structural, cognitive, coordination, temporal, technical, scale, uncertainty, dependency dimensions producing...

GitHub

testing-claude-plugins-with-python-sdk

krzemienski

Use when testing Claude Code plugins programmatically, building SDK applications, encountering plugin loading failures (plugins array empty), getting AttributeError on message.type, or needing verified Claude A...

GitHub

confidence-check

krzemienski

5-check quantitative validation ensuring 90% confidence before implementation. Prevents wrong-direction work through systematic verification: duplicate check (25%), architecture compliance (25%), official docs...

GitHub

forced-reading-auto-activation

krzemienski

Use automatically when prompts exceed 3000 characters, files exceed 500 lines, or large files are referenced - enforces complete line-by-line reading protocol with quantitative comprehension verification before...

GitHub

shannon-execution-verifier

krzemienski

Comprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact Verification (physical output inspection),...

GitHub

functional-testing

krzemienski

Enforce NO MOCKS testing philosophy with real systems. Iron Law: no mock objects, no unit tests, no stubs. Test with real browsers (Puppeteer MCP), real databases, real APIs. Enforced via post_tool_use.py hook....

GitHub

using-shannon

krzemienski

Use at session start - establishes Shannon Framework workflows including mandatory 8D analysis before implementation, NO MOCKS testing enforcement, wave-based execution for complexity >=0.50, and automatic Sere...

GitHub

systematic-debugging

krzemienski

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation with quantitative tracking, pattern analysis, hypothesis testing, imp...

GitHub

test-driven-development

krzemienski

Use when implementing any feature or bugfix, before writing implementation code - write the test first using REAL systems (NO MOCKS), watch it fail, write minimal code to pass; ensures tests actually verify beh...

GitHub

wave-orchestration

krzemienski

True parallel sub-agent coordination with wave-based execution. Analyzes phase dependencies, groups independent phases into waves for parallel execution, allocates agents based on complexity score. Proven 3.5x...

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。