neolabhq

67 skills

prompt-engineeringneolabhq1.4KUse 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.context-engineeringneolabhq1.3KUnderstand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.thought-based-reasoningneolabhq1.3KUse 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 reflectneolabhq1.3KReflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification write-conciselyneolabhq1.3KApply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.multi-agent-patternsneolabhq1.2KDesign multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.critiqueneolabhq1.2KComprehensive multi-perspective review using specialized judges with debate and consensus building brainstormneolabhq1.2KUse when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes update-docsneolabhq1.2KUpdate and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.actualizeneolabhqReconcile the project's FPF state with recent repository changes add-taskneolabhqcreates draft task file in .specs/tasks/draft/ with original user intent agent-evaluationneolabhqEvaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.analyseneolabhqAuto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target analyse-problemneolabhqComprehensive A3 one-page problem analysis with root cause and action plan analyze-issueneolabhqAnalyze a GitHub issue and create a detailed technical specification apply-anthropic-skill-best-practicesneolabhqComprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure attach-review-to-prneolabhqAdd line-specific review comments to pull requests using GitHub CLI API build-mcpneolabhqGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).cause-and-effectneolabhqSystematic Fishbone analysis exploring problem causes across six categories commitneolabhqCreate well-formatted commits with conventional commit messages and emoji create-agentneolabhqComprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns create-commandneolabhqInteractive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration create-hookneolabhqCreate and configure git hooks with intelligent project analysis, suggestions, and automated testing create-ideasneolabhqGenerate ideas in one shot using creative sampling create-prneolabhqCreate pull requests using GitHub CLI with proper templates and formatting create-ruleneolabhqUse when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.create-skillneolabhqGuide 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 create-workflow-commandneolabhqCreate a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts decayneolabhqManage evidence freshness by identifying stale decisions and providing governance actions design-testing-strategyneolabhqUse before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.do-and-judgeneolabhqExecute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop do-competitivelyneolabhqExecute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis do-in-parallelneolabhqRun independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.do-in-stepsneolabhqExecute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.fix-testsneolabhqSystematically fix all failing tests after business logic changes or refactoring git-notesneolabhqUse when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.git-worktreesneolabhqUse when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.implement-taskneolabhqImplement a task step by step with automated LLM-as-Judge verification at the end of each phase judgeneolabhqLaunch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation judge-with-debateneolabhqEvaluate solutions through multi-round debate between independent judges until consensus kaizenneolabhqUse when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.launch-sub-agentneolabhqLaunch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification load-issuesneolabhqLoad all open issues from GitHub and save them as markdown files load-pr-commentsneolabhqUse to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.memorizeneolabhqCurates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering plan-do-check-actneolabhqIterative PDCA cycle for systematic experimentation and continuous improvement plan-taskneolabhqRefine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases propose-hypothesesneolabhqExecute complete FPF cycle from hypothesis generation to decision queryneolabhqSearch the FPF knowledge base and display hypothesis details with assurance information resetneolabhqReset the FPF reasoning cycle to start fresh resolve-fixed-pr-commentsneolabhqVerify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.review-local-changesneolabhqReview your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.review-prneolabhqReview an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.root-cause-tracingneolabhqUse 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 setup-arxiv-mcpneolabhqGuide for setup arXiv paper search MCP server using Docker MCP setup-codemap-clineolabhqGuide for setup Codemap CLI for intelligent codebase visualization and navigation setup-context7-mcpneolabhqGuide for setup Context7 MCP server to load documentation for specific technologies.setup-serena-mcpneolabhqGuide for setup Serena MCP server for semantic code retrieval and editing capabilities statusneolabhqDisplay the current state of the FPF knowledge base subagent-driven-developmentneolabhqUse when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates test-coverageneolabhqUse after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.test-driven-developmentneolabhqUse 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 first test-promptneolabhqUse 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 test-skillneolabhqUse 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 skill, writing to address failures, iterating to close loopholes tree-of-thoughtsneolabhqExecute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation whyneolabhqIterative Five Whys root cause analysis drilling from symptoms to fundamentals write-testsneolabhqAdd missing test coverage for your local code changes by generating new test files (covers uncommitted and untracked changes, or the latest commit if everything is committed). Use when you want write tests for new logic or increase test coverage.