Skip to main content

NeoLabHQ/context-engineering-kit

SkillsMP 已收集 NeoLabHQ/context-engineering-kit 中的 110 个 Skill。打开任一 Skill 可查看来源和详情。

最近记录的来源活动
SkillsMP 收录数据更新
已收集 skills
110
GitHub 星标
1,490
GitHub Forks
153

已展示 40 / 110 个已收集 Skill。

职业分类
未分类
描述

Reconcile the project's FPF state with recent repository changes

原文语言:英语

更新
职业分类
未分类
描述

creates draft task file in .specs/tasks/draft/ with original user intent

原文语言:英语

更新
职业分类
未分类
描述

Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

原文语言:英语

更新
职业分类
未分类
描述

Comprehensive A3 one-page problem analysis with root cause and action plan

原文语言:英语

更新
职业分类
未分类
描述

Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

原文语言:英语

更新
职业分类
未分类
描述

Analyze a GitHub issue and create a detailed technical specification

原文语言:英语

更新
职业分类
未分类
描述

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

原文语言:英语

更新
职业分类
未分类
描述

Add line-specific review comments to pull requests using GitHub CLI API

原文语言:英语

更新
职业分类
未分类
描述

Use 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

原文语言:英语

更新
职业分类
未分类
描述

Guide 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…

原文语言:英语

更新
职业分类
未分类
描述

Systematic Fishbone analysis exploring problem causes across six categories

原文语言:英语

更新
职业分类
未分类
描述

Create well-formatted commits with conventional commit messages and emoji

原文语言:英语

更新
职业分类
未分类
描述

Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.

原文语言:英语

更新
职业分类
未分类
描述

Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

原文语言:英语

更新
职业分类
未分类
描述

Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

原文语言:英语

更新
职业分类
未分类
描述

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

原文语言:英语

更新
职业分类
未分类
描述

Generate ideas in one shot using creative sampling

原文语言:英语

更新
职业分类
未分类
描述

Create pull requests using GitHub CLI with proper templates and formatting

原文语言:英语

更新
职业分类
未分类
描述

Use 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.

原文语言:英语

更新
职业分类
未分类
描述

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,…

原文语言:英语

更新
职业分类
未分类
描述

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

原文语言:英语

更新
职业分类
未分类
描述

Comprehensive multi-perspective review using specialized judges with debate and consensus building

原文语言:英语

更新
职业分类
未分类
描述

Manage evidence freshness by identifying stale decisions and providing governance actions

原文语言:英语

更新
职业分类
未分类
描述

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

原文语言:英语

更新
职业分类
未分类
描述

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

原文语言:英语

更新
职业分类
未分类
描述

Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

原文语言:英语

更新
职业分类
未分类
描述

Run 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.

原文语言:英语

更新
职业分类
未分类
描述

Execute 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.

原文语言:英语

更新
职业分类
未分类
描述

Systematically fix all failing tests after business logic changes or refactoring

原文语言:英语

更新
职业分类
未分类
描述

Use 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…

原文语言:英语

更新
职业分类
未分类
描述

Use 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…

原文语言:英语

更新
职业分类
未分类
描述

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

原文语言:英语

更新
职业分类
未分类
描述

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

原文语言:英语

更新
职业分类
未分类
描述

Evaluate solutions through multi-round debate between independent judges until consensus

原文语言:英语

更新
职业分类
未分类
描述

Use 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.

原文语言:英语

更新
职业分类
未分类
描述

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

原文语言:英语

更新
职业分类
未分类
描述

Load all open issues from GitHub and save them as markdown files

原文语言:英语

更新
职业分类
未分类
描述

Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

原文语言:英语

更新
职业分类
未分类
描述

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

原文语言:英语

更新
职业分类
未分类
描述

Design 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.

原文语言:英语

更新
已展示 40 / 110 个已收集 Skill。