NeoLabHQ
@NeoLabHQ Organization
Public Skills
customaize-agent:create-skill
by NeoLabHQ
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. 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 against rationalization
docs:write-concisely
by NeoLabHQ
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
fpf:actualize
by NeoLabHQ
"Reconcile the project's FPF state with recent repository changes"
fpf:decay
by NeoLabHQ
"Manage evidence freshness by identifying stale decisions and providing governance actions"
reflexion:memorize
by NeoLabHQ
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
reflexion:critique
by NeoLabHQ
Comprehensive multi-perspective review using specialized judges with debate and consensus building
fpf:reset
by NeoLabHQ
"Reset the FPF reasoning cycle to start fresh"
code-review:review-pr
by NeoLabHQ
Comprehensive pull request review using specialized agents
kaizen:plan-do-check-act
by NeoLabHQ
Iterative PDCA cycle for systematic experimentation and continuous improvement
customaize-agent:thought-based-reasoning
by NeoLabHQ
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns
customaize-agent:prompt-engineering
by NeoLabHQ
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
mcp:setup-codemap-cli
by NeoLabHQ
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
customaize-agent:test-prompt
by NeoLabHQ
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
customaize-agent:create-hook
by NeoLabHQ
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
customaize-agent:create-workflow-command
by NeoLabHQ
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
mcp:setup-serena-mcp
by NeoLabHQ
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
kaizen:root-cause-tracing
by NeoLabHQ
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, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
customaize-agent:context-engineering
by NeoLabHQ
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
git:load-issues
by NeoLabHQ
Load all open issues from GitHub and save them as markdown files
git:create-pr
by NeoLabHQ
Create pull requests using GitHub CLI with proper templates and formatting
git:compare-worktrees
by NeoLabHQ
Compare files and directories between git worktrees or worktree and current branch
mcp:setup-context7-mcp
by NeoLabHQ
Guide for setup Context7 MCP server to load documentation for specific technologies.
kaizen:analyse
by NeoLabHQ
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
sadd:do-and-judge
by NeoLabHQ
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop