全部 Agent Skills
41,263 个结果
- CritiqueNeoLabComprehensive multi-perspective review using specialized judges with debate and consensus building
- DecayNeoLabManage evidence freshness by identifying stale decisions and providing governance actions
- Design Testing StrategyNeoLabUse before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.
- Do And JudgeNeoLabExecute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
- Do CompetitivelyNeoLabExecute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
- Do In ParallelNeoLabRun 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 StepsNeoLabExecute 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 TestsNeoLabSystematically fix all failing tests after business logic changes or refactoring
- Git NotesNeoLabUse 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 WorktreesNeoLabUse 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 TaskNeoLabImplement a task step by step with automated LLM-as-Judge verification at the end of each phase
- JudgeNeoLabLaunch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
- Judge With DebateNeoLabEvaluate solutions through multi-round debate between independent judges until consensus
- KaizenNeoLabUse 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 AgentNeoLabLaunch 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 IssuesNeoLabLoad all open issues from GitHub and save them as markdown files
- Load Pr CommentsNeoLabUse to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.
- MemorizeNeoLabCurates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
- Multi Agent PatternsNeoLabHQDesign 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.
- NeoLabHQ/context-engineering-kitNeoLab技能合集Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.
- Plan Do Check ActNeoLabIterative PDCA cycle for systematic experimentation and continuous improvement
- Plan TaskNeoLabRefine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases
- Prompt EngineeringNeoLabHQUse 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.
- Propose HypothesesNeoLabExecute complete FPF cycle from hypothesis generation to decision