shareAI-lab/lab-skills

Helps design and build AI agents for any domain around a minimal loop of capabilities, knowledge and context, adding planning or subagents only when needed.

shareAI-lab/lab-skills

Deeply research technical architecture, source code, mechanisms, SDKs, frameworks, project comparisons, and system-design options across repositories, history, official docs, issues, discussions…

shareAI-lab/lab-skills

Research why neural architectures and training methods work through forward computation, geometry, gradients, optimization dynamics, historical experiments, and competing explanations.

shareAI-lab/lab-skills

Recover and review local human-AI conversations from Claude Code, Codex, opencode, Grok Build, and Cursor.

shareAI-lab/lab-skills

Evaluate Agent Skill design quality with an opinionated, practice-derived rubric informed by public specifications and examples.

shareAI-lab/lab-skills

Reconstruct and report long-running or multi-turn research, architecture questions, reviews, decisions, completion results, and status as a clear, self-contained brief.

shareAI-lab/lab-skills

Transform an AI agent into a disciplined software development partner with strong judgment, transparent decisions, proportionate verification, and craftsmanship.

shareAI-lab/lab-skills

Create platform-native content that resonates with each community's culture.

shareAI-lab/lab-skills

Coach leaders and managers to prepare, run, and review high-bandwidth meetings that advance real work and decisions.

shareAI-lab/lab-skills

Coach workers, employees, and individual contributors to turn meetings, transcripts, minutes, and work notes into better execution: infer leader expectations, diagnose previous work, identify next…

shareAI-lab/lab-skills