GitHub
creating-quality-gates
Establish workflow boundary checklists with clear pass/fail criteria and escalation procedures
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数据与 AI AI 技能
发现 数据与 AI 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。
分类目录: 数据与 AI
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GitHub
writing-plans
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and ve...
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GitHub
conducting-plan-review
Complete workflow for evaluating implementation plans before execution with quality checklist and structured feedback
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GitHub
selecting-agents
Decision guide for choosing the right specialized agent for each task type
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GitHub
following-plans
Algorithmic decision tree for when to follow plan exactly vs when to report BLOCKED - prevents scope creep and unauthorized deviations
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GitHub
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 fir...
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GitHub
dual-verification
Use two independent agents for reviews or research, then collate findings to identify common findings, unique insights, and divergences
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GitHub
organizing-documentation
Set up or reorganize project documentation using intent-based structure (BUILD/FIX/UNDERSTAND/LOOKUP)
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GitHub
writing-skills
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 aga...
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GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
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GitHub
capturing-learning-from-completed-work
Systematic retrospective to capture decisions, lessons, and insights from completed work
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GitHub
testing-skills-with-subagents
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skil...
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GitHub
algorithmic-command-enforcement
Use boolean decision trees instead of imperatives for 100% compliance under pressure
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GitHub
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
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GitHub
commit-workflow
Systematic commit process with pre-commit checks, atomic commits, and conventional commit messages
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GitHub
executing-plans
Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches
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GitHub
creating-research-packages
Document complex domain knowledge as self-contained packages with multiple reading paths
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GitHub
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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GitHub
markdown-segment-translator
长文档Markdown分段翻译技能（Agent自己翻译）
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GitHub
全面的PDF处理工具包，支持文本提取、表格处理、PDF创建、文档合并/分割以及表单处理。当需要填写PDF表单或以编程方式处理、生成或分析PDF文档时使用。
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GitHub
pdfmd
将 PDF 文件转换为结构化的中文 Markdown 文本。只在用户明确要求“把 PDF 转成 Markdown/MD/文档”时使用本技能。
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GitHub
consistency-checker
写作过程中自动检查角色行为、世界规则和时间线一致性，在问题成为严重错误前主动提醒
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GitHub
whatsapp-message-management
Use when user wants to capture tasks, send briefings, or manage life via WhatsApp - leverages existing WhatsApp MCP for mobile-first workflow
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GitHub
looper-live-test
Run a live Looper smoke test by creating a temporary project (PROJECT.md + to-do.json), executing looper for one iteration, observing output, and reporting results. Use when verifying looper behavior or demonst...
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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。