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overseeroverseer 搜索

Agent Skill

overseer 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

188

周安装

8

GitHub Stars

27

下载量

66
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:overseer(overseer 搜索)
来源仓库:https://github.com/princejoogie/dotfiles
仓库路径:skills/overseer
安装命令:
npx skills add https://github.com/princejoogie/dotfiles --skill overseer
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/princejoogie/dotfiles --skill overseer

简介

用于查找、检索和筛选相关信息。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。

  • 适合根据关键词、任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。
  • overseer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Agent Coordination with Overseer

Core Principle: Tickets, Not Todos

Overseer tasks are tickets - structured artifacts with comprehensive context:

  • Description: One-line summary (issue title)
  • Context: Full background, requirements, approach (issue body)
  • Result: Implementation details, decisions, outcomes (PR description)

Think: "Would someone understand the what, why, and how from this task alone AND what success looks like?"

Task IDs are Ephemeral

Never reference task IDs in external artifacts (commits, PRs, docs). Task IDs like task_01JQAZ... become meaningless once tasks complete. Describe the work itself, not the task that tracked it.

Overseer vs OpenCode's TodoWrite

OverseerTodoWrite
PersistenceSQLite databaseSession-only
ContextRich (description + context + result)Basic
Hierarchy3-level (milestone -> task -> subtask)Flat

Use Overseer for persistent work. Use TodoWrite for ephemeral in-session tracking only.

When to Use Overseer

Use Overseer when:

  • Breaking down complexity into subtasks
  • Work spans multiple sessions
  • Context needs to persist for handoffs
  • Recording decisions for future reference

Skip Overseer when:

  • Work is a single atomic action
  • Everything fits in one message exchange
  • Overhead exceeds value
  • TodoWrite is sufficient

Finding Work

// Get next ready task with full context (recommended for work sessions)
const task = await tasks.nextReady(milestoneId); // TaskWithContext | null
if (!task) {
  console.log("No ready tasks");
  return;
}

// Get all ready tasks (for progress overview)
const readyTasks = await tasks.list({ ready: true }); // Task[]

Use nextReady() when starting work - returns TaskWithContext | null (deepest ready leaf with full context chain + inherited learnings). Use list({ready: true}) for status/progress checks - returns Task[] without context chain.

Basic Workflow

// 1. Get next ready task (returns TaskWithContext | null)
const task = await tasks.nextReady();
if (!task) return "No ready tasks";

// 2. Review context (available on TaskWithContext)
console.log(task.context.own);       // This task's context
console.log(task.context.parent);    // Parent's context (if depth > 0)
console.log(task.context.milestone); // Root milestone context (if depth > 1)
console.log(task.learnings.own);     // Learnings attached to this task (bubbled from children)

// 3. Start work (VCS required - creates bookmark, records start commit)
await tasks.start(task.id);

// 4. Implement...

// 5. Complete with learnings (VCS required - commits changes, bubbles learnings to parent)
await tasks.complete(task.id, {
  result: "Implemented login endpoint with JWT tokens",
  learnings: ["bcrypt rounds should be 12 for production"]
});

See @file references/workflow.md for detailed workflow guidance.

Understanding Task Context

Tasks have progressive context - inherited from ancestors:

const task = await tasks.get(taskId); // Returns TaskWithContext
// task.context.own      - this task's context (always present)
// task.context.parent   - parent task's context (if depth > 0)
// task.context.milestone - root milestone's context (if depth > 1)

// Task's own learnings (bubbled from completed children)
// task.learnings.own - learnings attached to this task

Return Type Summary

MethodReturnsNotes
tasks.get(id)TaskWithContextFull context chain + inherited learnings
tasks.nextReady()`TaskWithContext \null`Deepest ready leaf with full context
tasks.list()Task[]Basic task fields only
tasks.create()TaskNo context chain
tasks.start/complete()TaskNo context chain

Blockers

Blockers prevent a task from being ready until the blocker completes.

Constraints:

  • Blockers cannot be self
  • Blockers cannot be ancestors (parent, grandparent, etc.)
  • Blockers cannot be descendants
  • Creating/reparenting with invalid blockers is rejected
// Add blocker - taskA waits for taskB
await tasks.block(taskA.id, taskB.id);

// Remove blocker
await tasks.unblock(taskA.id, taskB.id);

Task Hierarchies

Three levels: Milestone (depth 0) -> Task (depth 1) -> Subtask (depth 2).

LevelNamePurposeExample
0MilestoneLarge initiative"Add user authentication system"
1TaskSignificant work item"Implement JWT middleware"
2SubtaskAtomic step"Add token verification function"

Choosing the right level:

  • Small feature (1-2 files) -> Single task
  • Medium feature (3-7 steps) -> Task with subtasks
  • Large initiative (5+ tasks) -> Milestone with tasks

See @file references/hierarchies.md for detailed guidance.

Recording Results

Complete tasks immediately after implementing AND verifying:

  • Capture decisions while fresh
  • Note deviations from plan
  • Document verification performed
  • Create follow-up tasks for tech debt

Your result must include explicit verification evidence. See @file references/verification.md.

Best Practices

  1. Right-size tasks: Completable in one focused session
  2. Clear completion criteria: Context should define "done"
  3. Don't over-decompose: 3-7 children per parent
  4. Action-oriented descriptions: Start with verbs ("Add", "Fix", "Update")
  5. Verify before completing: Tests passing, manual testing done

Reading Order

TaskFile
Understanding API@file references/api.md
Implementation workflow@file references/workflow.md
Task decomposition@file references/hierarchies.md
Good/bad examples@file references/examples.md
Verification checklist@file references/verification.md

In This Reference

FilePurpose
references/api.mdOverseer MCP codemode API types/methods
references/workflow.mdStart->implement->complete workflow
references/hierarchies.mdMilestone/task/subtask organization
references/examples.mdGood/bad context and result examples
references/verification.mdVerification checklist and process

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

39.82%
按下载量换算26

Claude

28.76%
按下载量换算19

Cursor

17.59%
按下载量换算12

Gemini CLI

10.34%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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