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Agent Skill · 研究检索

gsd-orchestration(GSD 编排)

gsd-orchestration 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。

gsd-orchestration 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,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 54,843。

总安装 494周安装 21GitHub Stars 10下载 173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:gsd-orchestration(GSD 编排)
来源仓库:https://github.com/natilevyy/claude-production-skills
仓库路径:skills/gsd-orchestration
安装命令:
npx skills add https://github.com/natilevyy/claude-production-skills --skill gsd-orchestration
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/natilevyy/claude-production-skills --skill gsd-orchestration

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。

gsd-orchestration 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。适用于协调多技能协同工作、编排任务流或管理复杂工作流的场景。可返回执行计划、依赖关系图和状态监控。

安装方式:npx skills add https://github.com/natilevyy/claude-production-skills --skill gsd-orchestration,需确认权限范围和维护状态。建议在使用前检查是否会触发联网、命令执行或文件读写操作,确保符合安全策略。

来源仓库内路径:skills/gsd-orchestration

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/natilevyy/claude-production-skills --skill gsd…;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

    它需要执行命令,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

gsd-orchestration 怎么安装?

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

gsd-orchestration 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。

gsd-orchestration 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/natilevyy/claude-production-skills --skill gsd-orchestration 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

gsd-orchestration 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。

gsd-orchestration 用的人多吗?

公开数据是累计安装 494 次,近一周安装 21 次,下载 173 次,GitHub 10 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。

gsd-orchestration 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
gsd-orchestration

GSD 编排 · 本页

49410执行命令未明确未通过

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

GSD Orchestration

"The complexity is in the system, not in your workflow." — TÂCHES

Philosophy

GSD solves context rot — the quality degradation as Claude fills its context window. Each task runs in fresh context. Plans are atomic. Verification is built-in.

Quick Reference

CommandPurpose
gsd initNew project: questions → research → requirements → roadmap
gsd discuss [N]Capture decisions for phase N (NO CODE)
gsd plan [N]Create atomic task plans for phase N
gsd execute [N]Run tasks with fresh context per task
gsd verify [N]Verify deliverables work as expected
gsd statusCurrent position and next action
gsd complete [N]Archive phase, update state

Parallel Execution Commands (NEW)

CommandPurpose
gsd execute-allExecute all phases sequentially (background optional)
gsd execute-parallel [N]Execute phase N with parallel tasks where possible
gsd execute-overnightFull autopilot mode for unattended execution
gsd check-conflicts [N]Analyze PLANs for file conflicts before parallel execution
gsd status --liveLive monitoring of running background agents

Core Workflow

gsd init → gsd discuss 1 → gsd plan 1 → gsd execute 1 → gsd verify 1 → gsd complete 1
                ↓
         gsd discuss 2 → gsd plan 2 → ...

For detailed workflow instructions, see references/WORKFLOW.md.

Project Structure

.gsd/
├── PROJECT.md         # Vision, goals, tech stack (always loaded)
├── REQUIREMENTS.md    # Scoped v1/v2 requirements
├── ROADMAP.md         # All phases with status
├── STATE.md           # Current position, blockers, decisions
└── phases/
    └── phase-N/
        ├── CONTEXT.md       # Decisions from discuss
        ├── ARCHITECTURE.md  # AI agent architecture (if AI phase)
        ├── RESEARCH.md      # Domain research (optional)
        ├── PLAN-1.md        # Atomic task plan
        ├── PLAN-2.md        # Atomic task plan
        └── SUMMARY.md       # What was built

Context Engineering Rules

Critical: These rules prevent context rot.

  1. Fresh context per task - Clear mental state between tasks
  2. Load only relevant files - Never load all.gsd/ files at once
  3. Maximum 3 tasks per plan - Keeps execution focused
  4. Size limits:

- PROJECT.md: ~500 lines max - Each PLAN.md: ~200 lines max - RESEARCH.md: ~1000 lines max

For context engineering principles, see references/CONTEXT-ENGINEERING.md.

Configuration

This skill is configured for:

  • Project types: Mixed (all types - adaptive based on project)
  • Verification: Automated tests + manual checks
  • Planning depth: Adaptive (adjust based on complexity)
  • Git workflow: Atomic commits per task with conventional format

Command Implementations

gsd init

Context to load: Nothing - fresh start

Process:

  1. Ask 5 focused questions: project description, core problem, target user, tech stack, success criteria
  2. Optional: Spawn research subagent for complex domains
  3. Generate: PROJECT.md, REQUIREMENTS.md, ROADMAP.md, STATE.md

Output: "Project initialized. Run gsd discuss 1 to begin."


gsd discuss [N]

Context to load: PROJECT.md, ROADMAP.md (phase N), STATE.md (decisions)

CRITICAL RULE: NO CODE. NO FILE CREATION. Only conversation.

Process:

  1. Summarize phase goal
  2. Offer agent-architect for complex phases (see ARCHITECT-INTEGRATION.md)
  3. Identify gray areas (visual, API, data, CLI decisions)
  4. Ask clarifying questions until clear
  5. Generate .gsd/phases/phase-N/CONTEXT.md

Output format:

## Phase [N] Discussion Complete

### Decisions Made:
- [Decision 1 with reasoning]
- [Decision 2 with reasoning]

### Out of Scope:
- [Deferred item with reason]

### Edge Cases Identified:
- [Edge case 1 and how to handle]
- [Edge case 2 and how to handle]

Ready to plan? Run: `gsd plan [N]`

CONTEXT.md template:

# Phase [N] Context

## Decisions
- **[Topic]**: [Decision] - [Reasoning]
- **[Topic]**: [Decision] - [Reasoning]

## Out of Scope
- [Item] - [Why deferred/rejected]

## Edge Cases
- [Case] → [How to handle]

## Open Questions
- [Question that needs answering during planning]

gsd plan [N]

Context to load:

  • PROJECT.md (tech stack section)
  • ROADMAP.md (phase N only)
  • CONTEXT.md (if exists)
  • ARCHITECTURE.md (if exists from agent-architect) ← Architectural decisions
  • Previous phase SUMMARY.md (if exists)

Process:

  1. Research (optional): Spawn researcher subagent for complex/unfamiliar domains
  2. Plan: Break into 2-3 atomic tasks

- If ARCHITECTURE.md present (agent-architect was used): - Use agent definitions (identity + task dispatch templates) → Task for implementing agents - Use tool specifications (built-in + custom MCP + external MCP) → Task for tools + MCP setup - Use orchestration pattern + guiding skill → Task for orchestration + interaction loop - Reference architecture decisions in all plans - Instruct prompts to be stored as markdown files in prompts/ directory - Standard phases: Break phase into logical atomic tasks

  1. Validate: Check plan completeness

Generate: Task plans using XML format.

For XML task templates, see references/XML-TEMPLATES.md.

Output: .gsd/phases/phase-N/PLAN-1.md, PLAN-2.md, etc.

Planning depth (adaptive based on configuration):

  • Quick: Minimal specs, basic acceptance criteria
  • Standard: Clear descriptions, testable criteria
  • Comprehensive: Detailed specs, edge cases, examples
  • Adaptive: Adjust based on task complexity

Each PLAN.md should be executable - another Claude instance can implement it without additional context.


gsd execute [N]

For EACH task in phase:

Context to load (fresh per task):

  • PROJECT.md (tech stack only - ~50 lines)
  • Current PLAN-X.md (full)
  • Relevant source files only

Process:

  1. Announce: "Starting Task [X]: [Name]"
  2. Execute according to plan
  3. Self-verify against acceptance criteria
  4. Commit (if git workflow enabled): git add -A && git commit -m "type(phase-N): description - Detail 1 - Detail 2 Co-Authored-By: Claude <noreply@anthropic.com>"
  5. Announce: "Task [X] complete - [summary]"
  6. Clear context
  7. Next task

Commit types: feat, fix, docs, refactor, test, chore

Between tasks output:

---
✓ Task 1 complete: [one-line summary]

Clearing context for Task 2...
Loading: PROJECT.md (tech), PLAN-2.md, [relevant files]

Starting Task 2: [Name]
---

Important: The "clearing context" announcement is a mental cue to actually reset context. Don't carry forward details from previous tasks.


gsd verify [N]

Context to load:

  • ROADMAP.md (phase N goals)
  • All PLAN-X.md files for phase
  • STATE.md

Process:

  1. Extract testable deliverables from plans
  2. For each deliverable:

- Automated: Run test commands (based on configuration) - Manual: Provide verification instructions

  1. Document results
  2. If all pass → suggest gsd complete [N]
  3. If any fail → identify failing task, suggest fix

Verification based on configuration:

  • Automated tests: pytest, jest, npm test, go test, etc.
  • Manual checks: curl commands, UI walkthrough, CLI usage

Output:

## Verification Results: Phase [N]

### Automated Tests
[✓ / ✗] Unit tests pass
[✓ / ✗] Integration tests pass
[✓ / ✗] Type checking clean
[✓ / ✗] Linter clean

### Manual Checks
- [ ] Check 1: [specific instruction]
- [ ] Check 2: [specific instruction]

### Overall Status
[PASS / FAIL with summary]

[If PASS]
All verification passed. Run `gsd complete [N]` to finalize.

[If FAIL]
Issues found:
- Task [X]: [specific failure]
Suggested action: Fix and re-verify

gsd status

Context to load: STATE.md only

Output:

# GSD Status

**Project**: [Name]
**Phase**: [N] - [Phase Name]
**Status**: [Not Started / Planning / Executing / Verifying]

## Progress
[■■■□□□□□□□] 30% (3/10 phases)

## Completed Phases
- Phase 1: [Name] ✓
- Phase 2: [Name] ✓

## Current Phase Tasks
- [x] Task 1: [brief description]
- [ ] Task 2: [brief description] ← YOU ARE HERE
- [ ] Task 3: [brief description]

## Next Action
`gsd execute 3` (continue with task 2)

## Recent Decisions
- [Most recent decision from STATE.md]

## Blockers
[None / list of blockers]

gsd complete [N]

Process:

  1. Generate SUMMARY.md (deliverables, files, decisions, metrics)
  2. Update STATE.md (mark complete, advance to N+1)
  3. Update ROADMAP.md (mark requirements done)
  4. Optional: Git tag if milestone complete

Output: "Phase [N] complete ✓. Run gsd discuss [N+1] for next phase."


Parallel Execution Commands

GSD supports parallel execution using the Fan-Out / Fan-In pattern with automatic dependency detection.

Critical Claude Code Constraints (enforced by the platform):

  • No MCP tools in background agents - Use built-in tools only (Read, Write, Edit, Bash, Glob, Grep)
  • No nested subagents - Orchestrator spawns all agents, agents cannot delegate
  • Max ~10 concurrent agents - Batch execution for larger phases

For complete documentation, see references/PARALLEL-EXECUTION.md. For detailed command reference, see references/COMMANDS-REFERENCE.md.

Quick Command Summary

CommandSyntaxPurpose
execute-allgsd execute-all [--from N] [--to M] [--background]Run all phases sequentially
execute-parallelgsd execute-parallel [N] [--max-agents N]Fan-Out/Fan-In parallel execution
execute-overnightgsd execute-overnight [--from N] [--parallel]Full autopilot for unattended execution
check-conflictsgsd check-conflicts [N] [--fix]Detect file conflicts before parallel
status --livegsd status --live [--interval N]Real-time monitoring of background agents

Overnight Execution Workflow

# Day: Plan all phases
gsd discuss 1 && gsd plan 1
gsd discuss 2 && gsd plan 2
# ... repeat for all phases

# Before sleep: Check conflicts and start
gsd check-conflicts 2 --fix
gsd execute-overnight --from 2 --parallel

# Next morning: Check results
gsd status

Additional Commands

gsd add-phase

Append a new phase to the roadmap interactively.

gsd pause

Save current state for resuming later. Updates STATE.md with pause timestamp and context.

gsd resume

Restore from paused state. Shows what was in progress and suggests next action.

gsd quick [description]

Execute a quick ad-hoc task without full planning workflow. Useful for small fixes.


Subagent Architecture

When spawning subagents, use minimal focused context:

SubagentPurposeContext
ResearcherInvestigate domainQuery + PROJECT.md tech stack
PlannerCreate task plansPhase goal + CONTEXT.md
CheckerValidate plansPlan + requirements
ExecutorImplement tasksSingle PLAN.md + relevant files

Rule: The orchestrator (main GSD) never does heavy lifting. It spawns, waits, integrates.


Best Practices

  1. Fresh context per task - Never accumulate across tasks
  2. No code during discuss - Discuss is for requirements only
  3. Atomic means atomic - If >15 min, split it
  4. Verify everything - Even if it "looks right"
  5. Document decisions - Future Claude instances need this
  6. Commit per task - Git bisect finds exact failures
  7. Keep PROJECT.md lean - Details go in REQUIREMENTS or phase docs
  8. One phase at a time - Complete current before planning next
  9. Prompts as markdown files - For agent projects, store prompts in prompts/*.md

For complete command reference, see references/COMMANDS-REFERENCE.md.


When to Use GSD

Use GSD when:

  • Projects taking > 2 hours
  • Multiple interconnected features
  • Need to maintain context across sessions
  • Want systematic verification
  • Working on production code

Skip GSD when:

  • Quick scripts (< 1 hour)
  • Exploratory prototyping
  • Single-file changes
  • Emergency hotfixes
  • You already have detailed specs

Integrations

agent-architect Integration

During gsd discuss [N], GSD offers professional architectural design via agent-architect for complex phases. Creates ARCHITECTURE.md with 5-phase design process covering strategy, components, tools, orchestration, and production readiness.

See: references/ARCHITECT-INTEGRATION.md

Domain Skill Integration

GSD auto-detects domain-specific needs (ML/DL, etc.) from PROJECT.md and offers specialized expertise during discuss/plan/execute phases.

See: references/DOMAIN-INTEGRATION.md


File Size Management

To keep context loading efficient:

FileTarget LinesMax Lines
PROJECT.md200-300500
REQUIREMENTS.md500-8001000
ROADMAP.md300-400500
STATE.md100-150200
PLAN-X.md100-150200
CONTEXT.md150-200300

If files exceed max, refactor or split into reference documents.

平台分布

Codex

36.12%
按下载量换算62

Claude

27.96%
按下载量换算48

Cursor

18.27%
按下载量换算32

Gemini CLI

8.92%
按下载量换算15

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/natilevyy/claude-production-skills --skill gsd-orchestration 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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