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- diegosouzapw/awesome-omni-skill
- 최근 소스 활동
- 2026년 3월 1일 18:11
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill orchestrate명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
| name | orchestrate |
| description | Guide a project from idea to implementation using the appropriate workflow depth |
| argument-hint | <project idea or goal> |
| user-invocable | true |
| allowed-tools | ["Read","Glob","Task","AskUserQuestion","TaskCreate","TaskUpdate","TaskList"] |
Guide a project through the appropriate development workflow based on complexity.
Orchestrate the full development lifecycle by:
CRITICAL: The orchestrator NEVER edits files or runs bash directly. All implementation work is delegated to subagents via the Task tool.
CRITICAL for orchestration quality: Lean context = clear signal.
docs/objectives/ROADMAP.md - milestone/phase overviewdocs/development/BACKLOG.md - task table only (not full details)docs/architecture/PRD.md - requirements summaryCluttered context causes:
Rule: If you need details, spawn an agent to analyze and summarize.
$ARGUMENTS: Project idea, goal, or feature description${PROJECT_NAME}: Current project contextdocs/ (if resuming)Artifacts produced by each phase:
docs/architecture/PRD.md (/spec)docs/architecture/ARCHITECTURE.md (/design)docs/objectives/ and docs/development/ (/plan)Use when: New product, complex system, multiple components, unclear requirements
/spec → /design → /plan → /implement → /validate → /deploy → /document
Phases:
Use when: New feature, moderate complexity, clear scope
/spec → /plan → /implement → /validate
Phases:
Use when: Simple change, bug fix, clear task
/plan → /implement
Phases:
Assess complexity to select workflow depth:
| Factor | Score |
|---|---|
| New system/product | +3 |
| Multiple components | +2 |
| Integration needed | +2 |
| New API | +1 |
| UI changes | +1 |
| Simple fix | -2 |
| Documentation only | -3 |
Scoring:
Read $ARGUMENTS and assess:
Based on complexity assessment, propose a workflow:
I've assessed this as a [complexity] project.
Recommended workflow: [Full/Medium/Light]
- Phase 1: [description]
- Phase 2: [description]
...
Proceed with this workflow?
Use AskUserQuestion to confirm with user.
For each phase in the selected workflow:
Option A - Agent Delegation (Recommended):
Use Task tool to spawn the appropriate agent:
Task(subagent_type="business-analyst", prompt="Create PRD for: ...")
Task(subagent_type="architect", prompt="Design architecture for: ...")
Task(subagent_type="project-manager", prompt="Create implementation plan for: ...")
Task(subagent_type="developer", prompt="Implement task T-001: ...")
IMPORTANT: Always use Option A. The orchestrator coordinates; subagents execute.
After each major phase:
If a phase is blocked:
When spawning agents via Task tool:
# Spawn Business Analyst for /spec
Task(
subagent_type="business-analyst",
description="Generate PRD",
prompt=f"""
Create a Product Requirements Document for:
{$ARGUMENTS}
Project context: {$PROJECT_NAME}
Output to: docs/architecture/PRD.md
Follow the /spec skill workflow.
"""
)
Agents have skills injected via their skills: frontmatter, so they will follow the skill instructions.
Consult user at these points:
User: /orchestrate Build a CLI tool for managing todo items
Orchestrator:
I've assessed this request:
- New tool (not modification): +3
- Single component (CLI): 0
- No integration: 0
- Simple scope: -1
Total: 2 → Medium workflow
Recommended workflow:
1. /spec - Define requirements and CLI interface
2. /plan - Break into implementable tasks
3. /implement - Build the CLI
4. /validate - Test functionality
Proceed with Medium workflow?
User: Yes
Orchestrator: [Spawns business-analyst agent for /spec]
...
Orchestrator: PRD complete. Proceeding to /plan.
[Spawns project-manager agent for /plan]
...
When tasks are independent, spawn multiple agents in a single message:
Example:
Task(subagent_type="developer", prompt="Implement T-001...")
Task(subagent_type="developer", prompt="Implement T-002...")
Task(subagent_type="developer", prompt="Implement T-003...")
All three run concurrently, results collected together.