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Agent Skill · 研究检索

work-tracker(工作跟踪器)

work-tracker 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。

work-tracker 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 60,042。

总安装 374周安装 15GitHub Stars 公开资料未说明下载 121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:work-tracker(工作跟踪器)
来源仓库:https://github.com/danielbush/skills
仓库路径:skills/work-tracker
安装命令:
npx skills add https://github.com/danielbush/skills --skill work-tracker
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/danielbush/skills --skill work-tracker

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

工作跟踪器用于管理项目中的工作项,记录会话摘要和历史工作记录。适用于个人知识管理和项目进度跟踪的场景。基于项目的词汇表和架构文档,维护活跃任务和历史记录。需要先创建工作目录结构,支持人工和模型共同处理任务。work-tracker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/work-tracker

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/danielbush/skills --skill work-tracker;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

work-tracker 怎么安装?

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

work-tracker 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。

work-tracker 需要什么权限?

权限级别是只读。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。

work-tracker 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。

work-tracker 用的人多吗?

公开数据是累计安装 374 次,近一周安装 15 次,下载 121 次。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。

work-tracker 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
work-tracker

工作跟踪器 · 本页

374—只读未明确通过

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

Work Tracker

Create and manage work items in a project's work/ directory. Also summarises sessions and searches past work. Sits on top of the project's vocabulary and architecture (in docs/) — work-tracker handles what you were doing recently and last time, what was on your mind, and what was bothering you. The vocabulary and architecture layer handles what the project is about and how it works.

Bootstrap

If work/ doesn't exist in the project root, create the full structure before doing anything else:

work/
  active/              → items being worked on (human + model)
  active/unsupervised/ → items an agent is working on autonomously
  done/                → completed items (moved here, not deleted)
  discussion/          → things you're not sure about — write them down, discuss with an agent or colleague
  backlog/             → prioritised queues of future work
  backlog/unsupervised/ → queued items for autonomous agent work
  .sessions/           → per-user session logs (user decides: commit or gitignore)

Backlog files

  • Single project: work/backlog/main.md
  • Monorepo / workspace: work/backlog/{package-name}.md — one file per package

On bootstrap, create work/backlog/main.md. If the project is a monorepo or workspace (multiple packages), create one file per package instead.

Each backlog file gets this header:

# Backlog

Items near the top get worked on first. Each item is an initial draft — improve wording and break out into individual files when ready to work on.

Grep-friendly: `grep -A 3 "^## " work/backlog/*.md` gives a quick index across all backlogs.

---

Work item format

Each work item is a markdown file with frontmatter:

---
id: SHORT_UPPER_SNAKE_CASE__WORK
status: active | done | discussion
created: YYYY-MM-DD
package: package-name (optional — omit for single-project repos, or for cross-cutting work use packages: [a, b])
summary: one-line summary
outcome: written when closing — what actually happened, what didn't, what was absorbed elsewhere
---

# type: Title

Body text — the initial proposal, plan, or discussion.

## Changes

Track important changes as they happen — decisions made, approaches tried, things learned. This is the ticket's own history. Use vocabulary terms where applicable. Each entry should be dated.

- **2026-03-20** — decided X because Y
- **2026-03-21** — switched approach from A to B; A didn't work because...

## Tasks

- [ ] First thing to do
- [ ] Second thing to do
- [x] Already done

## Housekeeping

Optional. Things to do in addition to the main work — cleanup, follow-ups, related chores that don't warrant their own ticket.

Fields

  • id — short, unique, UPPER_SNAKE_CASE with __WORK suffix (double underscore to visually separate). Used for cross-referencing between items (e.g. "see SHARED_UNDERSTANDING__WORK"). Keep it descriptive but brief.
  • status — matches the directory it lives in: active, done, or discussion
  • created — date the item was created
  • summary — one line, used for scanning
  • package — (optional) which package this work belongs to. Omit entirely for single-project repos. For work spanning multiple packages, use packages: [a, b] instead. Scannable via grep "^package" work/active/*.md.
  • outcome — written when closing the ticket. What actually happened, what didn't, what was absorbed elsewhere. A future reader should be able to read summary: (the intent) and outcome: (the result) and understand the full arc.

Title prefix

Use conventional commit style prefixes: feat:, refactor:, fix:, chore:, docs:. If the type isn't obvious, leave it unclassified.

File naming

YYYYMMDD.<type>.<slug>.md

Examples:

  • 20260320.feat.entry-point-questions.md
  • 20260320.chore.explore-pi-harness.md

Package scope lives in frontmatter (package: / packages:), not the filename.

Discussion items (work/discussion/)

The primary purpose of work/discussion/ is to put down things you're not sure about so you can discuss them with someone — another human, an agent, or your future self. Writing it down is the first step; the discussion that follows is what produces clarity.

Discussion items serve two purposes:

  1. Capturing uncertainty for discussion — when you have an idea, concern, or question that isn't resolved yet, write it down here. The act of writing crystallises the issue; having it in a file means you can point an agent (or a colleague) at it and say "what do you think about this?" This is the primary use case — it's a place for things you're unsure about that benefit from another perspective.
  2. Ongoing high-level thinking — some discussions are never "done" in the way a ticket is. They capture thematic, strategic ways of thinking that evolve over time and inform other work without being work items themselves.

Discussion items use the same format as other work items (frontmatter, status, changes) but with status: discussion. They don't need tasks or a clear endpoint. When a discussion crystallises into something actionable, create a new item in active/ or the relevant backlog file and reference the discussion.

Unsupervised items (backlog/unsupervised/ → active/unsupervised/)

Unsupervised items are tickets designed for an agent to pick up and work on autonomously with minimal human supervision. The human queues them in work/backlog/unsupervised/ and an agent moves them to work/active/unsupervised/ when starting work.

The key distinction: items directly in work/active/ are for the human working *with* a model. Items in work/active/unsupervised/ are for an agent working *alone*.

Creating unsupervised items

When the human says "create an unsupervised ticket", "queue this for an agent", "let an agent handle this", or similar — or when creating a regular ticket and additionally asking for an unsupervised version:

  1. Create a file in work/backlog/unsupervised/ using the standard work item format
  2. Add mode: unsupervised to the frontmatter
  3. The body must contain clear, self-contained instructions — everything the agent needs to understand the goal, constraints, and definition of done. The agent won't have the human available to clarify, so:

- State the objective concretely - Specify any constraints (files to touch, patterns to follow, things to avoid) - Define what "done" looks like - Reference relevant vocabulary, docs, or other tickets by id if context is needed

  1. Include a ## Acceptance criteria section with checkable items

Agent workflow

When an agent picks up an unsupervised item:

  1. Move the file from work/backlog/unsupervised/ to work/active/unsupervised/
  2. Update status: active in frontmatter
  3. Work through the instructions, checking off tasks as completed
  4. Log decisions and changes in the ## Changes section as with any ticket
  5. When done, leave the item in work/active/unsupervised/ with tasks checked off — the human reviews and moves to work/done/

Example

---
id: UPDATE_VOCAB_EXAMPLES__WORK
status: backlog
mode: unsupervised
created: 2026-03-25
summary: Add usage examples to each term in docs/vocab/coding.md
---

# chore: Add vocab examples

Each term in `docs/vocab/coding.md` should have a short code example showing the pattern. Currently they have definitions only.

## Instructions

- For each term in `docs/vocab/coding.md`, add a 3-5 line code example beneath the definition
- Use TypeScript
- Examples should be minimal and self-contained — a reader should understand the term from definition + example alone
- Don't modify definitions, only add examples
- Follow existing formatting conventions in the file

## Acceptance criteria

- [ ] Every term has a code example
- [ ] Examples are TypeScript
- [ ] Existing definitions unchanged
- [ ] File still renders cleanly as markdown

Session log

Each user has a session log at work/.sessions/$USER.md (e.g. work/.sessions/danb.md). Determine $USER from the system environment or ask on first use.

The session log has a different focus from work items. Work items track *what's being built* — changes, decisions, tasks. The session log tracks *where the human's head is at* — what they were thinking about, what's bothering them, what concerns cut across tickets or don't belong to any ticket. It may reference work items but doesn't have to.

Format

## YYYY-MM-DD

### What happened
- Brief summary of the session — what was discussed, explored, decided
- Can reference work items but doesn't need to mirror their Changes sections

### On my mind
- What the human was thinking about, concerned with, or mulling over
- Open questions, unresolved tensions, things that feel off
- Cross-cutting concerns that span multiple tickets or no ticket at all
- This is the headspace that work items don't capture

### Open threads
- TICKET_ID__WORK — brief note (optional, only if relevant)

Rotation

Rotate by month: work/.sessions/danb.2026-03.md. When a new month starts, begin a new file. The agent should only read the current month's file (and optionally the tail of the previous month if the session is near the boundary). This keeps context usage bounded.

When to write

Append to the session log at the end of a session — when the human says "summarise", "write up what we did", or when the conversation is clearly wrapping up. The session log and work item updates can happen in the same operation.

Operations

Start / continue a session

When the human says "let's continue", "where were we", "what was I working on", or starts a new session:

  1. Read the summary: frontmatter from the project's theme docs (e.g. docs/discussion-driven-development.md, docs/themes.md) if they exist. Briefly remind the human what the project is about.
  2. Read the last entry in work/.sessions/$USER.md — this tells you what happened, what was on their mind, and which threads were open.
  3. Scan work/active/ — read the Status section and checked/unchecked Tasks from each active item. This tells you the factual state of work across recent sessions.
  4. Present a summary that covers:

- Last session: what happened and what was on the human's mind - Current state of work: which active items have progress, which are stalled, what's next

  1. Offer options:

- Pick up a thread (if multiple are active) - Review the backlog? — grep -A 3 "^## " work/backlog/*.md for a quick index - Dive into the themes? — read the full theme docs and walk through them

The session log gives you the *feel* of where they left off. The work items give you the *facts*.

Create a work item

When the human says "create a ticket", "let's track this", "create a work item", or similar:

  1. If it's future work (not something to start now), add it to a backlog file. Otherwise, create a file in work/active/.

- Which backlog? If there's only main.md, use it. If multiple backlogs exist, infer the package from context (file being discussed, directory, etc.) or ask. - Unsupervised? If the human asks to create an unsupervised ticket (or asks for one alongside a regular ticket), create a file in work/backlog/unsupervised/ with self-contained instructions. See the "Unsupervised items" section above.

  1. Draft the item with frontmatter, a title, and body from what the human described.
  2. If it belongs in the backlog:
## type: Title
- id: THE_ID
- drafted: YYYY-MM-DD
- summary: one-line summary

Body text.

Move an item

When the human says "this is done", "close the ticket", "promote this to active", or similar:

  1. Update the status: in frontmatter
  2. Move the file to the matching directory (work/active/ or work/done/)

When closing a ticket (moving to done):

  1. Draft an outcome: line for the frontmatter — what actually happened, what didn't, what was absorbed elsewhere
  2. Present the draft outcome to the human for review before writing it
  3. Once confirmed, add the outcome: field, update status: done, and move to work/done/

When promoting a backlog item to active:

  1. Remove it from its backlog file (glob work/backlog/*.md to find it if needed)
  2. Create a file in work/active/

Scan / review

When the human says "what's active", "what's in flight", "show me the backlog", or similar:

  • Active items: list files in work/active/ (human+model) and work/active/unsupervised/ (autonomous), show id + summary from frontmatter. Distinguish which are unsupervised.
  • Backlog: run grep -A 3 "^## " work/backlog/*.md for a quick index across all backlogs. Also list files in work/backlog/unsupervised/ if any exist. If the human asks about a specific package, target that file.
  • All statuses: scan all directories

Cross-referencing

Items can reference each other by id (e.g. "relates to SHARED_UNDERSTANDING__WORK"). When creating an item that relates to another, mention the id in the body. Don't over-formalise this — a mention is enough.

Summarise a session

When the human says "summarise this session", "write up what we did", "capture this", or at the end of a session, do two things:

1. Update work items — for each active ticket that was worked on:

  • Update the Status section to reflect current state
  • Check off completed Tasks
  • Update the frontmatter summary: if it's shifted
  • If no ticket exists for this work, create one in work/active/

2. Append to session log — add an entry to work/.sessions/$USER.md with:

  • What happened — conceptual changes, grouped by theme. Use vocabulary terms (UPPER_SNAKE_CASE) from docs/vocab/ when they apply.
  • On my mind — what the human was thinking about, concerned with, open questions. Capture the headspace, not just the deliverables.
  • Open threads — which work items are active and where they stand.

Keep both concise. Focus on decisions and the why; the what is in the code. The frontmatter summary: on work items is the most important line — optimise it for scanning.

Search past work

When the human says "remember when we...", "what did we do with...", or asks about previous sessions, past decisions, or earlier implementations:

  1. Glob for files across work/done/, work/active/, and work/backlog/.
  2. Match the query against filenames first (fast path) — the filename scheme encodes type and topic.
  3. If filename matches are found, read their frontmatter summaries. Present matches with status, date, and summary so the human can pick which to dive into.
  4. If no filename matches, grep the files for the query term in their content, including vocabulary terms (UPPER_SNAKE_CASE).
  5. Only read the full body if the human asks to go deeper. If multiple matches, list them and let the human choose.

Conventions

  • Keep items concise. The initial version is a draft — it gets refined as work progresses.
  • Don't delete items. Move to work/done/ when complete.
  • The backlog is ordered by priority — items near the top get worked on first.
  • When an item is too big, break it into smaller items and link them via id references.

平台分布

Codex

39%
按下载量换算47

Claude

29.2%
按下载量换算35

Cursor

18.09%
按下载量换算22

Gemini CLI

9.06%
按下载量换算11

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。目前只有一个公开来源,建议同时核对源仓库。

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