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backlogbacklog 搜索

Agent Skill

backlog 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

485

周安装

20

GitHub Stars

1

下载量

158
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:backlog(backlog 搜索)
来源仓库:https://github.com/fairchild/dotclaude
仓库路径:skills/backlog
安装命令:
npx skills add https://github.com/fairchild/dotclaude --skill backlog
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/fairchild/dotclaude --skill backlog

简介

用于创建和管理被暂缓但已探索的功能条目,记录探索过程与决策依据。

  • 适用于需要明确 defer 原因、学习收获和未来 revisit 条件的场景。
  • 通过文件名后缀区分 plan/design/code 等不同类型暂缓事项。
  • 安装命令:npx skills add https://github.com/fairchild/dotclaude --skill backlog。
  • 建议定期 review backlog 条目,避免长期堆积影响优先级判断。

SKILL.md

Backlog

Create a comprehensive backlog item for work we've explored but decided not to implement now.

Instructions

Step 1: Gather Context

Ask these questions to understand what we're deferring:

  1. What feature/enhancement are we deferring? (brief name)
  2. Why did we explore it? (what problem does it solve)
  3. Why are we deferring? (out of scope, lower priority, needs more info, etc.)
  4. What did we learn? (key findings from exploration)

Step 2: Determine Category (from filename suffix)

Choose the category and encode it in the filename suffix:

  • plan: Comprehensive design for new features (most common for /backlog)
  • followup: Post-merge improvements and tech debt
  • task-list: Collection of related items
  • ideas: Ideas to explore, not yet developed into actionable plans

Use filename format: backlog/{task-name}-{category}.md

Examples:

  • backlog/docs-r2-storage-plan.md
  • backlog/session-cache-followups-task-list.md

Notes:

  • Task name should be kebab-case ({task-name})
  • Category is derived from suffix (-{category}), not frontmatter
  • Status is derived from location: backlog/ = pending, backlog/done/ = done

Step 3: Create Backlog File

Create a file at backlog/{task-name}-{category}.md with this structure:

---
# Optional metadata only (omit keys you don't need)
topic: {slug-topic-name}
relates_to: {after:other-task-plan|until:other-task-plan}
priority: {1|2|3...} # 1 = highest priority
description: {short summary for UI/list views}
---

# {Feature Name}

## Problem Statement

{1-2 paragraphs explaining why this work matters and what problem it solves}

## Key Decisions

| Decision | Choice | Rationale |
|----------|--------|-----------|
| {decision point} | {what we'd choose} | {why} |

## Architecture

{ASCII diagram if helpful}

## Implementation Phases

### Phase 1: {Name}

**Files to modify:**
- `path/to/file.ts` - {what changes}

**Files to create:**
- `path/to/new-file.ts` - {purpose}

**Acceptance criteria:**
- [ ] {testable outcome}
- [ ] {testable outcome}

### Phase 2: {Name}
...

## Verification Commands

Commands to verify the implementation works


## Rollback Plan

{How to undo if things go wrong}

## References

- {Related files, PRs, docs, or external resources}

Step 4: Include Research Artifacts

Incorporate what we learned during exploration:

  • Code snippets we prototyped or found
  • Configuration examples
  • API patterns from existing code
  • External documentation links

Step 5: Commit

Commit the backlog file with message:


chore: add {feature} to backlog

{One sentence on what this enables}

Quality Checklist

Before finishing, verify the backlog file:

  • [ ] Has enough context that a fresh session can understand without the original conversation
  • [ ] Includes specific file paths (with line numbers when relevant)
  • [ ] Has verification commands or acceptance criteria
  • [ ] References related code patterns in the codebase
  • [ ] Uses minimal optional metadata only (topic, relates_to, priority, description) and omits unused keys
  • [ ] Uses kebab-case filename suffix format: {task-name}-{category}.md

List Backlog Items

To see all backlog items, run:

~/.claude/skills/backlog/scripts/status.sh

Grooming

Detect stale or likely-completed backlog items that were never moved to done/.

~/.claude/skills/backlog/scripts/groom.sh [path/to/backlog]

The script cross-references pending items against git history (title/keyword matches and in-file references) and the filesystem (files that were supposed to be created). It flags items that look done so you can review and close them.

See references/grooming.md for the full grooming workflow and checklist.

Example Usage

User: /backlog
Claude: I'll help capture the work we explored for future implementation.

What feature/enhancement are we deferring?
> R2 storage for docs assets

Why did we explore it?
> Docs screenshots are gitignored, wanted persistent storage without git bloat

Why are we deferring?
> Works fine locally for now, R2 adds complexity we don't need yet

What did we learn?
> R2 bindings in wrangler.jsonc, Worker route pattern, wrangler CLI for uploads

[Creates backlog/docs-r2-storage-plan.md with full implementation plan]

Setting Up backlog/ Directory

See references/agents-schema.md for directory setup, naming conventions, and metadata conventions.

References

  • references/agents-schema.md — Categories, lifecycle, filename conventions, directory setup
  • references/grooming.md — Backlog maintenance workflow and checklist
  • references/README.md — Background, design philosophy, and related projects

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

36.71%
按下载量换算58

Claude

26.62%
按下载量换算42

Cursor

18.55%
按下载量换算29

Gemini CLI

8.32%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

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。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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