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flow-next-primeflow Next.js prime 命令行

Agent Skill

flow-next-prime 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

456

周安装

19

GitHub Stars

575

下载量

152
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:flow-next-prime(flow Next.js prime 命令行)
来源仓库:https://github.com/gmickel/gmickel-claude-marketplace
仓库路径:skills/flow-next-prime
安装命令:
npx skills add https://github.com/gmickel/gmickel-claude-marketplace --skill flow-next-prime
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gmickel/gmickel-claude-marketplace --skill flow-next-prime

简介

flow-next-prime 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发流程中整理协作事项。

  • 适用于围绕仓库状态、代码变更或协作事项进行信息整合的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 和仓库路径进一步核验具体用法和功能边界。

SKILL.md

Flow Prime

Comprehensive codebase assessment inspired by Factory.ai's Agent Readiness framework.

Role: readiness assessor, improvement proposer Goal: full visibility into codebase health, targeted fixes for agent readiness

Two-Tier Assessment

CategoryPillarsWhat Happens
Agent Readiness1-5 (30 criteria)Scored, maturity level calculated, fixes offered
Production Readiness6-8 (18 criteria)Reported for awareness, no fixes offered

This gives you full visibility while keeping remediation focused on what actually helps agents work.

Why This Matters

Agents waste cycles when:

  • No pre-commit hooks → waits 10min for CI instead of 5sec local feedback
  • Undocumented env vars → guesses, fails, guesses again
  • No CLAUDE.md → doesn't know project conventions
  • Missing test commands → can't verify changes work

These are environment problems, not agent problems. Prime helps fix them.

Input

Full request: $ARGUMENTS

Accepts:

  • No arguments (scans current repo)
  • --report-only or report only (skip remediation, just show report)
  • --fix-all or fix all (apply all agent readiness fixes without asking)
  • Path to different repo root

Examples:

  • /flow-next:prime
  • /flow-next:prime --report-only
  • /flow-next:prime ~/other-project

The Eight Pillars

Agent Readiness (Pillars 1-5) — Fixes Offered

PillarWhat It Checks
1. Style & ValidationLinters, formatters, type checking, pre-commit hooks
2. Build SystemBuild tools, commands, lock files, monorepo tooling
3. TestingTest framework, commands, coverage, verification
4. DocumentationREADME, CLAUDE.md, setup docs, architecture
5. Dev Environment.env.example, Docker, devcontainer, runtime version

Production Readiness (Pillars 6-8) — Report Only

PillarWhat It Checks
6. ObservabilityLogging, tracing, metrics, error tracking, health endpoints
7. SecurityBranch protection, secret scanning, CODEOWNERS, Dependabot
8. Workflow & ProcessCI/CD, PR templates, issue templates, release automation

Workflow

Read workflow.md and execute each phase in order.

Key phases:

  1. Parallel Assessment — 9 haiku scouts run in parallel (~15-20 seconds)
  2. Verification — Verify test commands actually work
  3. Score & Synthesize — Calculate scores, determine maturity level
  4. Present Report — Full report with all 8 pillars
  5. Interactive Remediation — AskUserQuestion for agent readiness fixes only
  6. Apply Fixes — Create/modify files based on selections
  7. Summary — Show what was changed

Maturity Levels (Agent Readiness)

LevelNameDescriptionScore
1MinimalBasic project structure only<30%
2FunctionalCan build and run, limited docs30-49%
3StandardizedAgent-ready for routine work50-69%
4OptimizedFast feedback loops, comprehensive docs70-84%
5AutonomousFull autonomous operation capable85%+

Level 3 is the target for most teams. Don't over-engineer.

What Gets Fixed vs Reported

PillarsCategoryRemediation
1-5Agent Readiness✅ Fixes offered via AskUserQuestion
6-8Production Readiness❌ Reported only, address independently

Guardrails

General

  • Never modify code files (only config, docs, scripts)
  • Never commit changes (leave for user to review)
  • Never delete files
  • Respect.gitignore patterns

User Consent

  • MUST use AskUserQuestion tool for consent — never just print questions as text
  • Always ask before modifying existing files
  • Don't add dependencies without consent

Scope Control

  • Never create LICENSE files — license choice requires explicit user decision
  • Never offer Pillar 6-8 fixes — production readiness is informational only
  • Focus fixes on what helps agents work (not team governance)

Scouts

Agent Readiness (haiku, fast)

  • tooling-scout — linters, formatters, pre-commit, type checking
  • claude-md-scout — CLAUDE.md/AGENTS.md analysis
  • env-scout — environment setup
  • testing-scout — test infrastructure
  • build-scout — build system
  • docs-gap-scout — README, ADRs, architecture

Production Readiness (haiku, fast)

  • observability-scout — logging, tracing, metrics, health
  • security-scout — GitHub settings, CODEOWNERS, secrets
  • workflow-scout — CI/CD, templates, automation

All 9 scouts run in parallel for speed.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.96%
按下载量换算56

Claude

28.02%
按下载量换算43

Cursor

18.78%
按下载量换算29

Gemini CLI

9.46%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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