Agent Skillsnearai/ironclaw › new-project

new-project

GitHub

用于自动创建和结构化新的自主项目工作区。通过顺序调用工具生成AGENTS.md、context.md等配置文件,并建立项目目录结构及周期性任务,实现项目的初始化与规范化管理。

docs/internal/archived-skills/new-project/SKILL.md nearai/ironclaw

Trigger Scenarios

用户要求创建新项目 需要初始化项目工作空间

Install

npx skills add nearai/ironclaw --skill new-project -g -y
More Options

Non-standard path

npx skills add https://github.com/nearai/ironclaw/tree/main/docs/internal/archived-skills/new-project -g -y

Use without installing

npx skills use nearai/ironclaw@new-project

指定 Agent (Claude Code)

npx skills add nearai/ironclaw --skill new-project -a claude-code -g -y

安装 repo 全部 skill

npx skills add nearai/ironclaw --all -g -y

预览 repo 内 skill

npx skills add nearai/ironclaw --list

SKILL.md

Frontmatter
{
    "name": "new-project",
    "version": "0.2.0",
    "activation": {
        "tags": [
            "project-management",
            "organization",
            "goals"
        ],
        "keywords": [
            "project",
            "create project",
            "new project",
            "set up project",
            "autonomous workspace",
            "campaign",
            "department",
            "company project"
        ],
        "patterns": [
            "create a (new )?project",
            "set up.*project",
            "organize.*into.*project",
            "new.project",
            "\/new.project"
        ],
        "max_context_tokens": 2000
    },
    "description": "Create and structure a new autonomous project — \"\/new-project <what project does>\""
}

New Project

Create an autonomous project workspace using memory_write and mission_create.

Step-by-step procedure

Given the user's description of what the project does, derive a short slug (lowercase, hyphens, e.g. ai-research). Then execute these steps sequentially (one tool call at a time — do NOT batch calls that depend on each other):

1. Write AGENTS.md

memory_write(target: "projects/{slug}/AGENTS.md", content: "# {Project Name}\n\n{What the agent should know about this project: domain, stakeholders, priorities, constraints, tools/APIs to use.}")

This file is loaded into the system prompt for every mission in this project. Make it specific and actionable.

2. Write context.md

memory_write(target: "projects/{slug}/context.md", content: "# {Project Name} — Context\n\n## Overview\n{What the project is and why it exists.}\n\n## Current State\n{What is known so far.}")

3. Write goals.md (if the project has clear goals)

memory_write(target: "projects/{slug}/goals.md", content: "# Goals\n\n- Goal 1\n- Goal 2\n...")

Include measurable targets when possible. If the project would benefit from tracked metrics, add a metrics section:

## Metrics

| Metric | Unit | Target | How to measure |
|--------|------|--------|----------------|
| {name} | {unit} | {target} | {evaluation instruction — tell the agent HOW to check this: API call, file to read, command to run} |

4. Create missions

Create recurring missions scoped to the project. Use the project name or slug as project_id (the engine resolves it to the correct project):

mission_create(name: "...", goal: "...", cadence: "daily", project_id: "{Project Name}")

Choose appropriate cadences: hourly, daily, weekly, monthly, or cron expressions like 0 9 * * 1-5.

Project structure convention

projects/
  {slug}/
    AGENTS.md      # Agent instructions (loaded into system prompt)
    context.md     # Background knowledge, current state
    goals.md       # Goal breakdown with optional metrics
    research/      # Research and analysis outputs
    reports/       # Generated reports

Rules

  • Execute tool calls one at a time, sequentially. Wait for each result before the next call.
  • Always pass project_id when creating missions. Without it, missions land in the Default project.
  • AGENTS.md must be written first — it gives the agent project context.
  • Keep the response concise. After setup, summarize what was created in a short list.

Version History

  • 5380a32 Current 2026-08-20 07:09

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2026-08-20 07:09

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