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nanoclaw-repl

NanoClaw v2(ECC)를 운영하고 확장합니다.

nanoclaw-repl란 무엇인가요?

NanoClaw REPL 스킬은 `scripts/claw.js`를 실행하거나 확장할 때 사용하는 명령줄 인터페이스입니다. 이 스킬은 마크다운 기반의 지속적인 세션을 지원하며, `/model` 명령어로 모델 전환, `/load`로 동적 스킬 로딩, `/branch`로 세션 분기, `/search`로 세션 간 검색, `/compact`로 기록 압축, `/export`로 md/json/txt 내보내기, `/metrics`로 세션 메트릭 확인이 가능합니다. 개발자는 작업에 집중된 세션을 유지하고, 위험도가 높은 변경 전에 분기하며, 주요 이정표 후에 기록을 압축하고, 공유나 보관 전에 내보내기를 수행하는 것이 좋습니다. 또한 외부 런타임 의존성을 최소화하고, 마크다운 데이터베이스 호환성과 결정적이고 로컬 명령 핸들러를 유지해야 합니다.

지원 대상✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/nanoclaw-repl

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

NanoClaw REPL

이 스킬은 scripts/claw.js를 실행하거나 확장할 때 사용합니다.

기능

  • 지속적인 마크다운 기반 세션
  • /model로 모델 전환
  • /load로 동적 스킬 로드
  • /branch로 세션 분기
  • /search로 세션 간 검색
  • /compact로 기록 압축
  • /export로 md/json/txt로 내보내기
  • /metrics로 세션 메트릭

작동 가이드

  1. 세션은 작업에 집중하세요.
  2. 위험도가 높은 변경 전에는 분기하세요.
  3. 주요 마일스톤 이후에는 압축하세요.
  4. 공유 또는 보관 전에는 내보내세요.

확장 규칙

  • 제로 외부 런타임 의존성 유지
  • 마크다운-데이터베이스 호환성 유지
  • 명령어 핸들러는 결정론적이고 로컬로 유지

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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