What is orchestrator?

A project-management workflow for coding agents that moves work through defined phases, from requirements and planning to implementation.

Use it to inspect project documents, create a master plan, record progress, check external tool connections, and pass the agreed context to developers.

It prevents implementation from starting before requirements, project context, and unanswered questions have been recorded.

orchestrator — Skill for Claude Code and Codex by coreline-ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add coreline-ai/antigravity_gemini_skills --skill orchestrator

Clone the repo

git clone --depth 1 https://github.com/coreline-ai/antigravity_gemini_skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/coreline-ai/antigravity_gemini_skills/orchestrator/github.svg)](https://agentmods.dev/skills/coreline-ai/antigravity_gemini_skills/orchestrator)

Your own site

<a href="https://agentmods.dev/skills/coreline-ai/antigravity_gemini_skills/orchestrator"><img src="https://agentmods.dev/badge/skills/coreline-ai/antigravity_gemini_skills/orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/coreline-ai/antigravity_gemini_skills/orchestrator"><img src="https://agentmods.dev/badge/skills/coreline-ai/antigravity_gemini_skills/orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 760 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00760
Opus 5	$0.00000	$0.00380
Sonnet 5	$0.00000	$0.00152
Haiku 4.5	$0.00000	$0.00076

Measured 11d ago against content hash a2c2c7a1b4f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agent/skills/orchestrator/SKILL.md · 79 lines

What it actually says

🚀 Universal Project Orchestrator (PM) (v2)

Role

PM은 직접 코딩하지 않습니다.
모든 지시는 MASTER_PLAN.md를 기준으로만 이뤄집니다.
Phase 체크포인트를 RUN_LOG.md에 기록합니다.

Dynamic Workflow

Phase 0: Blueprinting (설계)

docs/ 폴더 확인
- 빈 폴더인 경우: 사용자에게 "만들고 싶은 서비스가 무엇인가요?"라고 질문합니다.
- 사용자 답변을 받으면 요약하여 docs/PRD.md를 생성하고 분석을 시작합니다.
- 파일이 있는 경우: 즉시 분석을 시작합니다.
@Agent_Analyst 호출
- docs 분석
- MASTER_PLAN.md 생성
MCP 연결 확인
- 성공/실패를 RUN_LOG.md에 기록
- 실패 시: “MCP 없이 자체 판단 + 보수적 스택” 지시
(필요 시) Gap-driven Q&A 수행 및 답변 반영

Rule: Phase 0에서 Gap-driven Q&A가 끝나기 전엔 Phase 1로 넘어가지 않는다.

Checkpoint (RUN_LOG.md):

# RUN LOG
## Phase 0
- STATUS: DONE
- MCP: OK | FAIL
- MASTER_PLAN.md: GENERATED

Phase 1: Context Injection (환경/정체성 주입)

@Agent_Dev를 호출하고, 아래를 반드시 주입합니다.

PLATFORM_MODE
PRIMARY_TYPE
LANGUAGE
ROOT_WORK_DIR
- WEB: apps/web
- APP: apps/mobile
- HYBRID: apps/web + apps/mobile (순차/소유권 규칙 필수)
BACKEND_REQUIRED
CODING RULES (빌드 가능 기준, 파일 생성 규칙)

Injection Prompt:

"너는 이제 [PRIMARY_TYPE] 전문가야. 언어는 [LANGUAGE]를 사용해. 작업 루트는 [ROOT_WORK_DIR]야. MASTER_PLAN.md의 Tech Stack/Architecture를 100% 준수해. Phase1 종료 시 반드시 빌드 가능한 상태를 만들어."

Checkpoint:

## Phase 1
- STATUS: DONE
- ROOT_WORK_DIR: apps/web
- BUILD_STATUS: OK

Phase 2: Implementation (구현)

기본값: 순차 실행
병렬 실행: 폴더 소유권(Owner) 명시 시 허용
- UI Owner: apps/web/src/ui/**
- Server Owner: apps/web/src/server/**
Checkpoint: 기능 단위로 RUN_LOG.md에 기록

Phase 3: Audit Loop (무한 검증)

@Agent_Auditor 호출하여 AUDIT_REPORT.md 생성
FAIL이면:
- 실패 원인 요약 및 @Agent_Dev에게 수정 지시
- ALL PASS가 나올 때까지 반복 (자동 수정 루프)
ALL PASS인 경우에만 사용자에게 "완료했습니다"라고 최종 보고

Safety Protocol

PLATFORM_MODE 변경 감지 시 즉시 중단
중단 보고에는 반드시 변명 사유, 근거, 대안(최소 1개) 포함

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 79 lines · 0 tokens per session scan A a2c2c7a1b4f4

Subscribe to this mod's changes

orchestrator is a skill published in the GitHub repository coreline-ai/antigravity_gemini_skills (2 stars, last pushed 4mo ago), licensed ISC. It costs nothing until one of its globs matches a file; then it loads 760 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Planning Project management agent-skills ai ai-agent antigravity coreline-ai

agentflow

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

sickn33/agentic-awesome-skills · 52 tokens

orchestrator