By shareAI-lab

Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.

shareAI-lab/learn-claude-code

Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

shareAI-lab/learn-claude-code

Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.

shareAI-lab/learn-claude-code

Gives the agent command-line and Python recipes for reading, creating, merging and splitting PDF files, plus tips for large and scanned documents.

shareAI-lab/learn-claude-code

Guides writing a new agent skill or improving an existing one, covering how to keep it concise, how much freedom to give the agent and how to lay out bundled resources.

shareAI-lab/Kode-CLI

Evaluates the design quality of an agent skill against official specifications and patterns from existing examples, scoring it and suggesting improvements.

shareAI-lab/Kode-CLI

Gives an agent a set of working rules for any development task: understand first, surface decisions, verify results, and load deeper reference files per scenario.

shareAI-lab/Kode-CLI

Guides a three-stage workflow for turning partial context into a clear PRD, RFC or design doc: capture context, draft section by section, then test with a fresh reader.

shareAI-lab/Kode-CLI

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

Lets the Kode agent manage its own features, such as LSP, statusline, output styles and plugins, by running its slash commands for you instead of listing install steps.

shareAI-lab/Kode-CLI

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

Diagnoses why Kode's LSP tool returns nothing and fixes it through plugin .lsp.json files and slash commands, then verifies with a real LSP call.

shareAI-lab/Kode-CLI

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

shareAI-lab/lab-skills

Guide to designing and building MCP servers: tool, resource and prompt design for agent usability, with TypeScript or Python implementation workflows.

shareAI-lab/Kode-CLI

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

shareAI-lab/lab-skills

Troubleshoots Kode permission prompts and denials, including allowlists, command-level tool limits, dontAsk mode and subagent inheritance, without loosening permissions.

shareAI-lab/Kode-CLI

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