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Agent Skill · 待分类

tasks-generator(任务生成器)

tasks-generator 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。

tasks-generator 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 2,704。

总安装 1,434周安装 58GitHub Stars 68下载 450核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:tasks-generator(任务生成器)
来源仓库:https://github.com/luongnv89/skills
仓库路径:skills/tasks-generator
安装命令:
npx skills add https://github.com/luongnv89/skills --skill tasks-generator
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/luongnv89/skills --skill tasks-generator

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

tasks-generator 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 中围绕仓库状态、代码变更或协作事项进行整理。

适用于需要分析代码差异、跟踪 Issue 进展或协助 Pull Request 审查的开发场景。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和文件读写能力。安装前建议核实维护状态,避免触发不必要的联网或命令执行操作。

可结合原始 README 文档进一步了解具体使用方法和限制条件。

来源仓库内路径:skills/tasks-generator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/luongnv89/skills --skill tasks-generator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tasks-generator 怎么安装?

在终端执行 npx skills add https://github.com/luongnv89/skills --skill tasks-generator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tasks-generator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tasks-generator 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

tasks-generator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

tasks-generator 用的人多吗?

公开数据是累计安装 1,434 次,近一周安装 58 次,下载 450 次,GitHub 68 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tasks-generator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
tasks-generator

任务生成器 · 本页

1,43468需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Tasks Generator

Transform PRD documents into structured, sprint-based development tasks with dependency analysis.

Environment Check

Before running this skill, verify:

  • The project has a PRD file (prd.md or similar)
  • You have write access to the project directory
  • The project is a git repository with a remote
  • You can run bash commands in the project directory

If any check fails, the skill will stop and ask for clarification.

Subagent Architecture

This skill uses a Staged Pipeline (E) + Parallel Workers (B) architecture:

Phase 1: Requirements Extraction
  ↓ (requirements-extractor agent)
  ↓
Phase 2-3: Sprint Planning
  ↓ (sprint-planner agent)
  ↓
Phase 4-5: Parallel Sprint Task Generation
  ├→ (sprint-worker agents, spawned in parallel — one per sprint)
  ├→ sprint 1 tasks
  ├→ sprint 2 tasks
  ├→ sprint 3 tasks
  └→ ...
  ↓
Phase 6: Cross-Sprint Dependency Resolution
  ↓ (dependency-resolver agent)
  ↓
Final Output: tasks.md with all tasks and dependencies

Agents:

  1. agents/requirements-extractor.md — Reads PRD + supporting docs, produces structured feature list
  2. agents/sprint-planner.md — Defines sprint scope (POC, MVP, full features), produces sprint plan
  3. agents/sprint-worker.md — Generates tasks for ONE sprint (runs in parallel, one per sprint)
  4. agents/dependency-resolver.md — Wires cross-sprint dependencies, produces final tasks.md

Key Insight: Per-sprint task generation is parallelizable. Large PRDs produce 30-80 tasks across 4+ sprints. Sprint tasks are not fully independent — Sprint 2 depends on Sprint 1 output — so the dependency-resolver does a final pass to wire cross-sprint relationships.

Repo Sync Before Edits (mandatory)

Before creating/updating/deleting files in an existing repository, sync the current branch with remote:

branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is not clean, stash first, sync, then restore:

git stash push -u -m "pre-sync"
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin && git pull --rebase origin "$branch"
git stash pop

If origin is missing, pull is unavailable, or rebase/stash conflicts occur, stop and ask the user before continuing.

Input

Preferred: PRD file path provided in $ARGUMENTS.

Auto-pick mode (if $ARGUMENTS is empty):

  1. Reuse the most recent project folder/path from this chat/session.
  2. If unavailable, use env var IDEAS_ROOT when present.
  3. Else check shared marker file ~/.config/ideas-root.txt.
  4. Backward compatibility fallback: ~/.openclaw/ideas-root.txt.
  5. If still unavailable, ask the user to provide the path or set IDEAS_ROOT.
  6. Use <project>/prd.md.
  7. If multiple candidates are plausible, ask user to choose.

Pre-checks

  1. Resolve PRD_PATH (from $ARGUMENTS or auto-pick mode) and verify it exists
  2. Check for existing tasks.md in the same directory - create backup if exists: tasks_backup_YYYY_MM_DD_HHMMSS.md
  3. Look for supporting docs in same directory: tad.md, ux_design.md, brand_kit.md

Workflow

Phase 1: Extract Requirements

From PRD, extract:

  • Core features and value proposition
  • User stories and personas
  • Functional requirements
  • Non-functional requirements (performance, security)
  • Technical constraints and dependencies

Phase 2: Define Development Phases

POC (Proof of Concept):

  • Single most important feature proving core value
  • Minimal implementation, 1-2 sprints

MVP (Minimum Viable Product):

  • Essential features for first release
  • Core user workflows

Full Features:

  • Remaining enhancements
  • Nice-to-haves and polish

Phase 3: Create Sprint Plan

SprintFocusScope
Sprint 1POCCore differentiating feature
Sprint 2MVP FoundationAuth, data models, primary workflows
Sprint 3MVP CompletionUI/UX, integration, validation
Sprint 4+Full FeaturesEnhancements, optimization, polish

Phase 4: Analyze Dependencies

  1. Map Dependencies: For each task, identify "Depends On" and "Blocks"
  2. Group Parallel Tasks: Assign tasks to execution waves
  3. Calculate Critical Path: Longest dependency chain = minimum duration
  4. Validate: Check for circular dependencies, broken references

Phase 5: Generate tasks.md

Create tasks.md in same directory as PRD. See references/tasks-template.md for full template.

Task Format

Each task must include:

### Task X.Y: [Action-oriented Title]

**Description**: What and why, referencing PRD

**Acceptance Criteria**:
- [ ] Specific, testable condition 1
- [ ] Specific, testable condition 2

**Dependencies**: None / Task X.X

**PRD Reference**: [Section]

Task Guidelines

  • Title: Action-oriented (e.g., "Implement user authentication API")
  • Size: 1-3 days of work; break larger features
  • Criteria: Cover happy path and edge cases
  • Dependencies: List prerequisites and external dependencies

Quality Checks

Before finalizing:

  • All PRD requirements addressed
  • Each task links to PRD
  • No circular dependencies
  • Clear MVP vs post-MVP distinction
  • Ambiguous requirements flagged
  • All tasks in dependency table
  • Critical path identified

README Maintenance (ideas repo)

After writing tasks.md, if the PRD lives inside an ideas repo, update the repo README ideas table:

  • Preferred: cd to the repo root and run python3 scripts/update_readme_ideas_index.py (if it exists)
  • Fallback: update README.md manually (ensure Tasks status becomes ✅ for that idea)

Commit and push

  • Commit immediately after updates.
  • Confirm before pushing — this is a visible action:
git push origin <branch>
  • If push is rejected: git fetch origin && git rebase origin/main && git push.

Reporting with GitHub links (mandatory)

When reporting completion, include:

  • GitHub link to tasks.md
  • GitHub link to README.md when it was updated
  • Commit hash

Link format (derive <owner>/<repo> from git remote get-url origin):

  • https://github.com/<owner>/<repo>/blob/main/<relative-path>

Step Completion Reports

After completing each major step, output a status report in this format:

◆ [Step Name] ([step N of M] — [context])
··································································
  [Check 1]:          √ pass
  [Check 2]:          √ pass (note if relevant)
  [Check 3]:          × fail — [reason]
  [Check 4]:          √ pass
  [Criteria]:         √ N/M met
  ____________________________
  Result:             PASS | FAIL | PARTIAL

Adapt the check names to match what the step actually validates. Use √ for pass, × for fail, and — to add brief context. The "Criteria" line summarizes how many acceptance criteria were met. The "Result" line gives the overall verdict.

Requirements phase checks: PRD parsed, Features extracted, Constraints identified

Sprint Planning phase checks: Phases defined, Stories created, Dependencies mapped

Generation phase checks: tasks.md written, Sprint breakdown complete, Estimates assigned

Output phase checks: README updated, Committed, Links reported

Output Summary

After generating, provide:

  1. File location
  2. Sprint overview (count, tasks per sprint)
  3. MVP scope summary
  4. Dependency analysis (waves, critical path, bottlenecks)
  5. Flagged ambiguous requirements
  6. Next steps: Review Sprint 1 and Wave 1 tasks first

Acceptance Criteria

The skill run is considered successful only if ALL of the following hold:

  • tasks.md exists in the same directory as the input PRD.
  • tasks.md contains at least 3 sprints (POC, MVP Foundation, MVP Completion at minimum).
  • Each sprint contains at least 3 tasks; total task count is between 15 and 80.
  • Every task includes ALL of: Description, Acceptance Criteria (>=2 testable items), Dependencies (explicit None or task IDs), PRD Reference, and an effort estimate (e.g., Effort: 1-3 days or S/M/L).
  • Every task ID follows the Task <sprint>.<index> pattern (e.g., Task 1.1, Task 2.3).
  • A dependency table is present and references only tasks that exist in the file (no broken IDs).
  • No circular dependencies (dependency graph is a DAG).
  • At least one task per PRD requirement; ambiguous PRD items are flagged in a dedicated section.
  • Critical path is identified and stated explicitly.
  • If a prior tasks.md existed, a tasks_backup_YYYY_MM_DD_HHMMSS.md file is created.
  • Final report includes GitHub links to tasks.md (and README.md if updated) plus the commit hash.

If any criterion fails, the skill must report it as a FAIL row in the Step Completion Report and not claim success.

Expected Output

The skill produces tasks.md next to the PRD, plus a final agent message with GitHub links and commit hash. See references/tasks-template.md for the full reviewable shape, dependency table, critical path, and final-message format. See references/self-test.md for the pre-success self-test checklist.

平台分布

Codex

34.91%
按下载量换算157

Claude

29.45%
按下载量换算133

Cursor

17.05%
按下载量换算77

Gemini CLI

9.38%
按下载量换算42

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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