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lilyLUO233 AI Skills

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Browse published AI skills maintained by lilyLUO233. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

6

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

checkpoint

lilyLUO233

Summarize completed work, update progress tracking in DEV_SPEC.md, and prepare for next iteration. Final stage of dev-workflow pipeline. Use when task implementation and testing is completed, or when user says...

GitHub

progress-tracker

lilyLUO233

Identify next development task from project schedule and validate claimed progress against actual codebase state. Serves as GPS for development - tells you where you are and where to go next. Stage 2 of dev-wor...

GitHub

dev-workflow

lilyLUO233

Master orchestrator for development workflow. Use when user says "下一阶段", "继续开发", "next task", "proceed", or asks to continue development. Coordinates spec-sync, progress-tracker, implement, testing-stag...

GitHub

spec-sync

lilyLUO233

Synchronize DEV_SPEC.md and split it into chapter-specific files under specs/ directory. Run sync_spec.py to update, then read SPEC_INDEX.md for navigation. Foundation for all spec-based operations. Use when us...

GitHub

implement

lilyLUO233

Implement features following spec-driven workflow. Read specs first, extract design principles, plan file strategy, then write production-ready code with type hints and docstrings. Use when user asks to impleme...

GitHub

testing-stage

lilyLUO233

Validate implementation through systematic testing after implement stage completes. Determines test type (unit/integration/e2e) based on task nature, runs pytest, and reports results. Stage 4 of dev-workflow pi...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.