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aif-roadmap亚洲投资基金路线图

Agent Skill

aif-roadmap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

606

周安装

25

GitHub Stars

535

下载量

198
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:aif-roadmap(亚洲投资基金路线图)
来源仓库:https://github.com/lee-to/ai-factory
仓库路径:skills/aif-roadmap
安装命令:
npx skills add https://github.com/lee-to/ai-factory --skill aif-roadmap
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/lee-to/ai-factory --skill aif-roadmap

简介

aif-roadmap 用于创建和维护项目高层级路线图,包含主要里程碑和战略计划。

  • 它通过加载项目上下文和配置文件解析路径和语言设置,生成结构化路线图文档。
  • 安装命令为 npx skills add https://github.com/lee-to/ai-factory --skill aif-roadmap,需确认权限范围和维护状态。
  • 使用前建议检查是否会触发联网、命令执行或文件读写,并参考原始 README 核验具体用法。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Roadmap - Strategic Project Planning

Create and maintain a high-level project roadmap with major milestones.

Workflow

Step 0: Load Project Context

FIRST: Read .ai-factory/config.yaml if it exists to resolve:

  • Paths: paths.description, paths.architecture, paths.rules_file, paths.roadmap, paths.research, and paths.rules
  • Language: language.ui for prompts, language.artifacts for generated content

If config.yaml doesn't exist, use defaults:

  • Paths: .ai-factory/ for all artifacts
  • Language: en (English)

Read .ai-factory/DESCRIPTION.md (use path from config) if it exists to understand:

  • Tech stack (language, framework, database, ORM)
  • Project architecture and conventions
  • Non-functional requirements

Read the resolved architecture artifact if it exists (paths.architecture, default: .ai-factory/ARCHITECTURE.md) to understand:

  • Chosen architecture pattern and folder structure
  • Module boundaries and communication patterns

Read .ai-factory/skill-context/aif-roadmap/SKILL.md — MANDATORY if the file exists.

This file contains project-specific rules accumulated by /aif-evolve from patches, codebase conventions, and tech-stack analysis. These rules are tailored to the current project.

How to apply skill-context rules:

  • Treat them as project-level overrides for this skill's general instructions
  • When a skill-context rule conflicts with a general rule written in this SKILL.md, the skill-context rule wins (more specific context takes priority — same principle as nested CLAUDE.md files)
  • When there is no conflict, apply both: general rules from SKILL.md + project rules from skill-context
  • Do NOT ignore skill-context rules even if they seem to contradict this skill's defaults — they exist because the project's experience proved the default insufficient
  • CRITICAL: skill-context rules apply to ALL outputs of this skill — including the ROADMAP.md template. The template in this SKILL.md is a base structure. If a skill-context rule says "roadmap MUST include X" or "milestones MUST have Y" — you MUST augment the template accordingly. Generating a roadmap that violates skill-context rules is a bug.

Enforcement: After generating any output artifact, verify it against all skill-context rules. If any rule is violated — fix the output before presenting it to the user.

Step 1: Determine Mode

If argument is check → Mode 3: Check Progress (requires the resolved roadmap path)

Otherwise check if the resolved roadmap path exists (paths.roadmap, default: .ai-factory/ROADMAP.md):

  • Does NOT exist → Mode 1: Create Roadmap
  • Exists → Mode 2: Update Roadmap

Mode 1: Create Roadmap (First Run)

1.1: Gather Input

If user provided arguments (vision/description):

  • Use as primary input for milestones

If no arguments:

  • Ask interactively:
AskUserQuestion: What are the major goals for this project?

Options:
1. Let me describe the vision
2. Analyze codebase and suggest milestones
3. Both — I'll describe, you'll add what's missing

Based on choice:

  • "Analyze codebase and suggest milestones" → proceed to Step 1.2
  • "Let me describe the vision" or "Both" → collect user description (if "Both", also add codebase analysis in Step 1.2), then ask follow-up:
AskUserQuestion: Any priorities or deadlines?

Options:
1. Yes, let me specify
2. No, just order by logical sequence
3. Skip — I'll reprioritize later

1.2: Explore Codebase

Scan the project to understand what's already built:

  • Glob for project structure (key directories, modules)
  • Grep for implemented features (routes, models, services)
  • Check git log for completed work: git log --oneline -20

1.3: Generate ROADMAP.md

Create the resolved roadmap artifact (default: .ai-factory/ROADMAP.md) with this format:

# Project Roadmap

> <project vision — one-liner from DESCRIPTION.md or user input>

## Milestones

- [ ] **Milestone Name** — short description of what this achieves
- [ ] **Milestone Name** — short description of what this achieves
- [x] **Milestone Name** — short description (already done based on codebase analysis)

## Completed

| Milestone | Date |
|-----------|------|
| Milestone Name | YYYY-MM-DD |

Rules for milestones:

  • Each milestone is a high-level goal, not a granular task (that's /aif-plan)
  • 5-15 milestones is the sweet spot — fewer means too vague, more means too granular
  • Order by logical sequence (dependencies first)
  • Mark already-completed milestones as [x] and add them to the Completed table
  • Use today's date for milestones detected as already done

1.4: Confirm with user

Show the generated roadmap and ask:

AskUserQuestion: Here's the proposed roadmap. What would you like to do?

Options:
1. Looks good — save it
2. Add more milestones
3. Remove/modify some milestones
4. Rewrite — let me give better input

Apply changes if requested, then save to the resolved roadmap path.


Mode 2: Update Roadmap (Subsequent Run)

2.1: Read Current State

  • Read the resolved roadmap path
  • Read .ai-factory/DESCRIPTION.md (use path from config) for context
  • Explore codebase briefly to check what's changed since last update

2.2: Determine Action

If user provided arguments (new milestones/changes):

  • Apply the requested changes directly

If no arguments:

  • Analyze current state and present options:
AskUserQuestion: What would you like to do with the roadmap?

Options:
1. Review progress — check what's done, mark completed milestones
2. Add new milestones
3. Reprioritize — reorder existing milestones
4. Rewrite — major revision of the roadmap

2.3: Review Progress (if chosen)

  • Scan codebase for evidence of completed milestones
  • For each unchecked milestone, check if the work appears done
  • Propose marking completed milestones:
These milestones appear to be done:
- **Milestone Name** — [evidence: files exist, routes implemented, etc.]

Mark them as completed?

If confirmed:

  • Change - [] to - [x] in the Milestones section
  • Add entry to Completed table with today's date
  • Move completed milestones below unchecked ones (or keep in place — user preference)

2.4: Add New Milestones (if chosen)

  • Ask user to describe new milestones
  • Insert them in logical order among existing milestones
  • Update the resolved roadmap path

2.5: Reprioritize (if chosen)

  • Show current order
  • Ask user for new order or let them describe priority changes
  • Reorder milestones in the resolved roadmap path

2.6: Save Changes

Update the resolved roadmap path with all modifications.

Show summary:

## Roadmap Updated

Total milestones: N
Completed: X/N
Next up: **Milestone Name**

To start working on the next milestone:
/aif-plan <milestone description>  → creates a plan and optional branch/worktree flow
/aif-implement                     → executes the plan

Mode 3: Check Progress (/aif-roadmap check)

Automated scan — analyze the codebase and mark completed milestones without interactive questions.

Requires the resolved roadmap path to exist. If it doesn't — tell the user to run /aif-roadmap first.

3.1: Read roadmap and project context

  • Read the resolved roadmap path
  • Read .ai-factory/DESCRIPTION.md (use path from config) for tech stack context

3.2: Analyze each unchecked milestone

For every - [] milestone:

  • Determine what evidence would prove it's done (files, routes, models, configs, tests)
  • Use Glob and Grep to search for that evidence
  • Check git log --oneline --all -30 for related commits
  • Score: done (strong evidence), partial (some work started), not started

3.3: Report findings

## Roadmap Progress Check

✅ Done (ready to mark):
- **User Authentication** — found: src/auth/, JWT middleware, login/register routes
- **Database Setup** — found: migrations/, models/, seed scripts

🔨 In Progress:
- **Payment Integration** — found: src/payments/ exists but Stripe webhook handler missing

⏳ Not Started:
- **Admin Dashboard**
- **Email Notifications**

Mark completed milestones? (2 milestones)

3.4: Apply changes (if confirmed)

  • Mark done milestones [x]
  • Add entries to Completed table with today's date
  • Leave partial and not-started milestones unchanged

Show updated summary:

Completed: X/N milestones
Next up: **Milestone Name**

ROADMAP.md Format

# Project Roadmap

> <project vision — one-liner>

## Milestones

- [ ] **Name** — short description
- [ ] **Name** — short description
- [x] **Name** — short description

## Completed

| Milestone | Date |
|-----------|------|
| Name | YYYY-MM-DD |

Critical Rules

  1. Milestones are high-level — each represents a major feature or capability, not a task
  2. ROADMAP.md is the source of truth — always read before modifying
  3. Never remove milestones silently — always confirm with user before removing
  4. Completed table tracks history — every checked milestone gets a date entry
  5. NO implementation — this skill only plans, use /aif-plan to start a feature and /aif-implement to execute
  6. Ownership boundary — this command owns roadmap structure/content; /aif-implement may only mark milestones completed when implementation evidence is clear

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

38.8%
按下载量换算77

Claude

28.44%
按下载量换算56

Cursor

16.99%
按下载量换算34

Gemini CLI

8.91%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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