backlog-manager

backlog-manager is a skill for Claude Code, Codex from yunshu0909/yunshu_skillshub. It costs 63 tokens per session (2,083 once invoked), scanned A, original, MIT.

A continuously maintained Chinese-language file for collecting product ideas, user pain points, and feature requests. It keeps ideas structured until they are clear enough to enter design or planning.

In plain words
What is it for?
Use it to capture, clarify, categorize, merge, archive, and review product requests in a shared requirements file.
Why use it?
It prevents scattered ideas from being lost or prematurely turned into development work before the problem and proposed solution are understood.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to capture, clarify, categorize, merge, archive, and review product requests in a shared requirements file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yunshu0909/yunshu_skillshub/backlog-manager
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 yunshu0909/yunshu_skillshub --skill backlog-manager
Clone the repo
git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub

Made for: Claude Code, Codex.

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 backlog-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/backlog-manager/github.svg)](https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/backlog-manager)
Your own site
<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/backlog-manager"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/backlog-manager/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 backlog-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/backlog-manager"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/backlog-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,083 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 $0.00063 $0.02083
Opus 5 $0.00032 $0.01042
Sonnet 5 $0.00013 $0.00417
Haiku 4.5 $0.00006 $0.00208

Measured 12d ago against content hash 0742dcef3e2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

backlog-manager 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 12d 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.

backlog-manager/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

用户随时会抛出产品想法、使用痛点、功能需求。AI 负责将这些零散输入整理成结构化的需求池, 并在用户准备启动新版本时协助筛选。需求池是一个持续维护的文件,不是一次性产出。

核心原则

  • 痛点驱动 — 只收集真实痛点和明确想法,不做假设性规划
  • AI 整理,用户决策 — AI 负责追问、归类、合并;用户负责确认和拍板
  • 先归档,再说做不做 — 新想法先进池子,不急着排优先级或启动开发
  • 池子要活 — 定期清理过时条目,升档想清楚的条目,不让池子变成垃圾堆
  • 不越界 — 需求池管理到"可以做了"为止,后续的设计/PRD/开发由其他流程接管

需求池文件

位置docs/需求池.md

如果文件已存在,在现有内容上更新。如果不存在,按以下模板创建。

文件模板

# 需求池

> 随手记,随时加,隔段时间过一遍。
>
> 状态说明:
> - **可以做了** — 痛点清晰,知道要做成什么样,随时能进设计/PRD
> - **需要想想** — 方向有了,细节没展开,需要调研或讨论
> - **先放着** — 记着就行,现在不花精力想
> - **已完成** — 做完了,标版本号归档

---

## 总览

| # | 需求 | 状态 | 依赖 | 备注 |
|---|------|------|------|------|
| 1 | xxx  | 可以做了 | 无 | xxx |

---

## 可以做了

### 需求名称
- 痛点:xxx
- 方案:xxx
- 备注:xxx

---

## 需要想想

### 需求名称
- 方向:xxx
- 依赖:xxx
- 待展开:xxx

---

## 先放着

### 需求名称
- 想法:xxx
- 备注:xxx

---

## 已完成

### 需求名称(V0.xx)
- 完成时间:yyyy-mm-dd
- 简述:xxx

条目模板说明

每个条目根据所在分区使用不同字段:

分区 必填字段 可选字段
可以做了 痛点、方案 备注
需要想想 方向 依赖、待展开
先放着 想法 依赖、备注
已完成 完成时间、简述

总览表每个条目必须有:编号、需求名称、状态、依赖、备注。

工作流程

第 1 步:收集 — 用户抛出新想法

用户说了一个想法或痛点后,主动追问:

  • 痛点是什么 — 现在遇到了什么问题?什么场景下不爽?
  • 频率多高 — 多久碰到一次?
  • 现在怎么绕 — 不做这个功能的话,手动怎么解决?

整理成一句话描述,向用户确认:"我理解的是 xxx,对吗?"

禁止

  • 用户说了一句话就直接写进需求池,必须先追问确认
  • 追问超过 3 轮还没收敛,先按当前理解归档,标注"待进一步讨论"

第 2 步:归类 — 判断状态和合并

  1. 读取现有需求池(如果存在)
  2. 检查是否可合并 — 新想法是否和已有条目属于同一个方向?
    • 可合并 → 告诉用户"这个和 #X 相关,我建议合并成 xxx",等用户确认
    • 不可合并 → 作为新条目
  3. 判断状态 — 根据追问结果归档:
    • 用户能说清痛点和大致方案 → 可以做了
    • 用户有方向但细节模糊 → 需要想想
    • 用户自己也说"先记着" → 先放着
  4. 向用户确认归类结果,用户同意后再写入文件

禁止

  • AI 自行判断状态不跟用户确认
  • 强行合并用户认为不同的需求

第 3 步:写入 — 更新需求池文件

确认后更新 docs/需求池.md

  1. 在对应分区添加条目详情
  2. 更新总览表(加新行或修改已有行)
  3. 如果发生合并,更新被合并条目的内容和总览表

格式要求

  • 总览表和详情区必须同步更新,不能只改一处
  • 编号递增,不复用已删除的编号
  • 已完成的条目保留在总览表中,状态标"已完成"

第 4 步:整理 — 定期过一遍池子

当用户说"整理一下需求池"或"看看需求池"时:

  1. 读取完整需求池文件
  2. 逐条过,对每条给出建议:
    • 过时了 → 建议删除,说明理由
    • 想清楚了 → 建议升档(先放着 → 需要想想,或需要想想 → 可以做了),说明依据
    • 还是模糊 → 追问 1-2 个关键问题,帮用户想清楚
    • 没变化 → 跳过,不废话
  3. 用户逐条确认后,批量更新文件

Read the full file on GitHub · 212 lines

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. 12d ago First seen · 212 lines · 63 tokens per session scan A 0742dcef3e2a

Subscribe to this mod's changes

backlog-manager is a skill published in the GitHub repository yunshu0909/yunshu_skillshub (757 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 2,083 once invoked, about $0.0003 per session on Opus 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.

Related

Other skills, from other repositories

recipe-create-meet-space

Create a Google Meet meeting space and share the join link.

googleworkspace/cli · 18 tokens

workthreads

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…

specstoryai/getspecstory · 126 tokens

atmos-config

Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.

cloudposse/atmos · 31 tokens

story-readiness

Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…

Donchitos/Claude-Code-Game-Studios · 77 tokens

magpie-security-issue-import-from-md

Open one or more tracking issues from a markdown file containing a batch of security findings. Each finding becomes one tracker landing in the Needs triage board column. The file itself is the full report — there is no inbound reporter to reply to and no PR to inspect.

apache/magpie · 73 tokens

remove

Remove a deployed framework or addon from the current workspace.

jmagly/aiwg · 12 tokens