inspirai-project
多 Agent 项目管理 - 从想法到立项,自动在 Discord 频道创建项目 Thread 并分配 Agent 任务。支持快速讨论路由、批量立项、项目状态追踪。Triggers: '立项', '创建项目', '新项目', '讨论一下', '项目状态', 'create project', 'discuss', 'project status'
Best use case
inspirai-project is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
多 Agent 项目管理 - 从想法到立项,自动在 Discord 频道创建项目 Thread 并分配 Agent 任务。支持快速讨论路由、批量立项、项目状态追踪。Triggers: '立项', '创建项目', '新项目', '讨论一下', '项目状态', 'create project', 'discuss', 'project status'
Teams using inspirai-project should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/inspirai-project/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How inspirai-project Compares
| Feature / Agent | inspirai-project | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
多 Agent 项目管理 - 从想法到立项,自动在 Discord 频道创建项目 Thread 并分配 Agent 任务。支持快速讨论路由、批量立项、项目状态追踪。Triggers: '立项', '创建项目', '新项目', '讨论一下', '项目状态', 'create project', 'discuss', 'project status'
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Project - 多 Agent 项目管理
从想法到立项的完整工作流,基于 Discord 多频道 + Thread 实现项目隔离。
## 子命令
| 命令 | 说明 |
|------|------|
| `/project:init <项目名>` | 立项:智能分配 Agent,批量创建 Discord Thread,下发初始任务 |
| `/project:discuss <话题>` | 快速讨论:把想法路由到最合适的 Agent 频道 |
| `/project:status [项目名]` | 项目状态:查看活跃项目和各 Thread 最新进展 |
## 工作流
```
想法 → /project:discuss → 讨论评估 → /project:init → 正式立项 → /project:status → 跟进
```
## 前置条件
- OpenClaw 已配置 Discord channel(多 agent + bindings)
- `~/.openclaw/openclaw.json` 中包含 Discord 配置
- 辅助脚本: `{SKILL_DIR}/discord-threads.py`Related Skills
project-watcher
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自动项目复盘机制。当完成复杂项目后,自动提取最优路径生成skill,并记录踩坑经验到memory。
project-deep-analyzer
深度分析项目的系统边界、核心概念、模块架构、关键算法、技术选型以及错误排查。当用户需要深入理解代码库或定位疑难问题时调用。
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描述一个项目想法,AI 从市场/技术/商业/风险四个维度系统评估, 输出评估报告、竞品速查、MVP建议,帮你决策「值不值得做」。
project-writing
Always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core information from any introductory or concluding remarks.
inspirai-evo
技能自我进化 - 检测流程问题信号(重复试错、流程中断、代码翻动),生成分析报告,引导改进。Triggers: '流程优化', '技能进化', 'skill evolution', '自我改进', '流程问题', 'workflow analysis'.
inspirai-deploy
智能部署工具 - 自动检测部署策略,预检查、发布、监控一体化。支持 K8s/Helm、Docker Compose、Vercel、Fly.io。Triggers: '部署', 'deploy', '发布', '上线', '预检查', '部署监控', 'helm upgrade', 'docker compose up'.
inspirai-bp
最佳实践管理 - 记录验证通过的解决方案,跨项目复用,避免重复踩坑。Triggers: '最佳实践', 'best practice', '经验记录', '解决方案', '踩坑记录', 'bp capture', 'bp apply', 'bp search'.
inspirai-audit
Skill 重叠分析工具 - 检测已安装 skills/commands 的功能重复,辅助精简配置。Triggers: 'skill 审计', '功能重叠', '重复检测', 'skill audit', 'skill scan', '精简配置'.
inspirai-apispec
API 规范管理工具 - 跨项目 API 文档的初始化、更新、查询与搜索。Triggers: 'API文档', 'API规范', '接口文档', '路由解析', 'apispec', 'API lookup', 'API search'.
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OpenProject CRUD skill — manage work packages, projects, groups, news, users, watchers, relations, notifications, time entries, comments, attachments, wiki pages, statuses, and more via OpenProject API v3 with API token auth. Supports cloud and self-hosted instances.
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Node.js project architecture standards for AI-assisted development. Enforces file splitting (<400 lines), config externalization, route modularization, and admin dashboards. Use when creating new Node.js projects, refactoring large single-file codebases, or when AI context window is being consumed by oversized files. Covers H5 games (Canvas/Phaser/Matter.js), data tools (crawlers/scrapers), content platforms, monitoring dashboards, API services, and SDK libraries.