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gsd-orchestratorGSD 协调器

Agent Skill

gsd-orchestrator 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

1,368

周安装

57

GitHub Stars

6,783

下载量

456
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:gsd-orchestrator(GSD 协调器)
来源仓库:https://github.com/gsd-build/gsd-2
仓库路径:skills/gsd-orchestrator
安装命令:
npx skills add https://github.com/gsd-build/gsd-2 --skill gsd-orchestrator
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/gsd-build/gsd-2 --skill gsd-orchestrator

简介

gsd-orchestrator 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。
  • 使用前建议核验是否会触发联网、命令执行或文件读写操作。
  • 可结合原始 README 进一步了解具体用法和功能边界。

SKILL.md

<mental_model> GSD headless is a subprocess you launch and monitor. Think of it like a junior developer you hand a spec to:

  1. You write the spec (what to build)
  2. You launch the build (gsd headless... new-milestone --context spec.md --auto)
  3. You wait for it to finish (exit code tells you the outcome)
  4. You check the result (query state, inspect files, verify deliverables)
  5. If blocked, you intervene (steer, supply answers, or escalate)

The subprocess handles all planning, coding, testing, and git commits internally. You never write application code yourself — GSD does that. </mental_model>

<critical_rules>

  • Flags before command. gsd headless [--flags] [command] [args]. Flags after the command are ignored.
  • Redirect stderr. JSON output goes to stdout. Progress goes to stderr. Always 2>/dev/null when parsing JSON.
  • Check exit codes. 0=success, 1=error, 10=blocked (needs you), 11=cancelled.
  • Use query to poll. Instant (~50ms), no LLM cost. Use it between steps, not auto for status.
  • Budget awareness. Track cost.total from query results. Set limits before launching long runs.
  • One project directory per build. Each GSD project needs its own directory with a .gsd/ folder. </critical_rules>

Build something from scratch: Read workflows/build-from-spec.md — write spec, init directory, launch, monitor, verify.

Check on a running or completed build: Read workflows/monitor-and-poll.md — query state, interpret phases, handle blockers.

Execute with fine-grained control: Read workflows/step-by-step.md — run one unit at a time with decision points.

Understand the JSON output: Read references/json-result.md — field reference for HeadlessJsonResult.

Pre-supply answers or secrets: Read references/answer-injection.md — answer file schema and injection mechanism.

Look up a specific command: Read references/commands.md — full command reference with flags and examples.

<quick_reference>

Launch a full build (spec to working code):

mkdir -p /tmp/my-project && cd /tmp/my-project && git init
cat > spec.md << 'EOF'
# Your Product Spec Here
Build a ...
EOF
gsd headless --output-format json --context spec.md new-milestone --auto 2>/dev/null

Check project state (instant, free):

cd /path/to/project
gsd headless query | jq '{phase: .state.phase, progress: .state.progress, cost: .cost.total}'

Resume work on an existing project:

cd /path/to/project
gsd headless --output-format json auto 2>/dev/null

Run one step at a time:

RESULT=$(gsd headless --output-format json next 2>/dev/null)
echo "$RESULT" | jq '{status: .status, phase: .phase, cost: .cost.total}'

</quick_reference>

<exit_codes>

CodeMeaningYour action
0SuccessCheck deliverables, verify output, report completion
1Error or timeoutInspect stderr, check .gsd/STATE.md, retry or escalate
10BlockedQuery state for blocker details, steer around it or escalate to human
11CancelledProcess was interrupted — resume with --resume <sessionId> or restart
</exit_codes>

<project_structure> GSD creates and manages all state in .gsd/:

.gsd/
  PROJECT.md          # What this project is
  REQUIREMENTS.md     # Capability contract
  DECISIONS.md        # Architectural decisions (append-only)
  KNOWLEDGE.md        # Persistent project knowledge (patterns, rules, lessons)
  STATE.md            # Current phase and next action
  milestones/
    M001-xxxxx/
      M001-xxxxx-CONTEXT.md    # Scope, constraints, assumptions
      M001-xxxxx-ROADMAP.md    # Slices with checkboxes
      M001-xxxxx-SUMMARY.md    # Completion summary
      slices/S01/
        S01-PLAN.md            # Tasks
        S01-SUMMARY.md         # Slice summary
        tasks/
          T01-PLAN.md          # Individual task spec
          T01-SUMMARY.md       # Task completion summary

State is derived from files on disk — checkboxes in ROADMAP.md and PLAN.md are the source of truth for completion. You never need to edit these files. GSD manages them. But you can read them to understand progress. </project_structure>

<answer_injection> Pre-supply answers and secrets for fully autonomous runs:

gsd headless --answers answers.json --output-format json auto 2>/dev/null
{
  "questions": { "question_id": "selected_option" },
  "secrets": { "API_KEY": "sk-..." },
  "defaults": { "strategy": "first_option" }
}
  • questions — question ID to answer (string for single-select, string[] for multi-select)
  • secrets — env var to value, injected into child process environment
  • defaults.strategy"first_option" (default) or "cancel" for unmatched questions

See references/answer-injection.md for the full mechanism. </answer_injection>

<event_streaming> For real-time monitoring, use JSONL event streaming:

gsd headless --json auto 2>/dev/null | while read -r line; do
  TYPE=$(echo "$line" | jq -r '.type')
  case "$TYPE" in
    tool_execution_start) echo "Tool: $(echo "$line" | jq -r '.toolName')" ;;
    extension_ui_request) echo "GSD: $(echo "$line" | jq -r '.message // .title // empty')" ;;
    agent_end) echo "Session ended" ;;
  esac
done

Filter to specific events: --events agent_end,execution_complete,extension_ui_request

Available types: agent_start, agent_end, tool_execution_start, tool_execution_end, tool_execution_update, extension_ui_request, message_start, message_end, message_update, turn_start, turn_end, cost_update, execution_complete. </event_streaming>

<all_commands>

CommandPurpose
autoRun all queued units until milestone complete or blocked (default)
nextRun exactly one unit, then exit
queryInstant JSON snapshot — state, next dispatch, costs (no LLM, ~50ms)
new-milestoneCreate milestone from spec file
dispatch <phase>Force specific phase (research, plan, execute, complete, reassess, uat, replan)
stop / pauseControl auto-mode
steer <desc>Hard-steer plan mid-execution
skip / undoUnit control
queueQueue/reorder milestones
historyView execution history
doctorHealth check + auto-fix
knowledge <rule>Add persistent project knowledge

See references/commands.md for the complete reference. </all_commands>

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

35.29%
按下载量换算161

Claude

32.91%
按下载量换算150

Cursor

17.68%
按下载量换算81

Gemini CLI

8.92%
按下载量换算41

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

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/gsd-build/gsd-2 --skill gsd-orchestrator 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 warning/failed 结果,不能写成本站确认安全。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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