development

development is a skill for Claude Code from fengshao1227/ccg-workflow. It costs 41 tokens per session (389 once invoked), scanned A, original, MIT.

An index of programming guidance for Python, Go, Rust, TypeScript, Java, C++, and shell scripting.

In plain words
What is it for?
Use it when building web services, front-end applications, systems software, automation scripts, microservices, or other code in the listed languages.
Why use it?
It helps choose a suitable language and points development tasks toward relevant techniques and frameworks.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ccg plugin — 58 skills, 12 commands, 7 agents shipped together

Good fit Use it when building web services, front-end applications, systems software, automation scripts, microservices, or other code in the listed languages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fengshao1227/ccg-workflow/development
About the project

CCG is a command-line workflow engine that coordinates Claude, Codex, Gemini, and other models as specialized collaborators on coding tasks. It is used to analyze requests, choose a strategy, delegate work to model-specific roles, and combine their results. The catalogue entries provide the skills, commands, agents, and plugin that implement this workflow.

fengshao1227/ccg-workflow · 5,945 stars · on GitHub · ccg.fengshao1227.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fengshao1227/ccg-workflow --skill development
Clone the repo
git clone --depth 1 https://github.com/fengshao1227/ccg-workflow

Made for: Claude Code.

Or install ccg, the plugin that ships this one along with the rest of its 58 skills, 12 commands, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for development

README.md
[![agentmods](https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/development/github.svg)](https://agentmods.dev/skills/fengshao1227/ccg-workflow/development)
Your own site
<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/development"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for development

Your own site · 80×15
<a href="https://agentmods.dev/skills/fengshao1227/ccg-workflow/development"><img src="https://agentmods.dev/badge/skills/fengshao1227/ccg-workflow/development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00389
Opus 5.5 $0.00016 $0.00156
Sonnet 5.5 $0.00008 $0.00078
Haiku 4.5 $0.00004 $0.00039

Measured 1mo ago against content hash daf2142608fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

templates/skills/domains/development/SKILL.md · 47 lines

What it actually says

符箓秘典 · 开发语言能力中枢

能力矩阵

Skill 语言 核心能力
python Python Web框架、数据处理、自动化
go Go 高并发、微服务、云原生
rust Rust 系统编程、内存安全、高性能
typescript TS/JS 前后端、Node.js、React/Vue
java Java 企业级、Spring、微服务
cpp C/C++ 系统底层、性能优化
shell Bash 脚本自动化、系统管理

语言选型指南

Web 后端:
  - 快速开发: Python (FastAPI/Django)
  - 高性能: Go (Gin/Echo)
  - 企业级: Java (Spring Boot)

Web 前端:
  - SPA: TypeScript + React/Vue
  - SSR: Next.js/Nuxt.js

系统编程:
  - 内存安全: Rust
  - 传统: C/C++

脚本自动化:
  - 通用: Python
  - 系统: Bash/Shell

安全工具:
  - 快速原型: Python
  - 高性能: Go/Rust
Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 47 lines · 41 tokens per session scan A daf2142608fd

Subscribe to this mod's changes

development is a skill published in the GitHub repository fengshao1227/ccg-workflow (5,945 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 389 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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