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codex-dynamic-workflows

Design a multi-agent workflow for a complex task when the user requests dynamic orchestration.

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Harga belum dikonfirmasi★ 535 Star GitHubDirektori diperbarui · 11 Okt 2026agent-skill

Ringkasan

Design a multi-agent workflow for a complex task when the user requests dynamic orchestration.

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Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

AI Agent Dynamic Workflows

Use this skill to turn a large task into a supervised AI-agent workflow: draft an orchestration artifact, enter goal mode when sustained execution is requested, delegate disjoint work to subagents when available, integrate results, verify the outcome, and save reusable workflow artifacts.

This skill works in agents that support skills. Do not claim that a local script can call subagent tools unless the current environment exposes such a runner. When no programmable runner exists, create a human-readable orchestration script and operate it through the available agent tools.

Decision Rule

Use this skill when the user requests dynamic orchestration. Task complexity, risk, or parallel tracks alone do not activate it. Within an authorized workflow, choose only delegation that contributes a concrete independent result.

Operating Contract

When using this skill:

Restate the goal and success criteria.
Create or update a workflow artifact before delegating.
Check authorization for consequential actions against the boundaries below; do not ask again for an action already authorized within scope.
Create a goal only when explicitly requested by the user or system/developer instructions; ordinary multi-turn work does not authorize goal creation.
Split work into disjoint packets with clear ownership.
Spawn subagents only when the current environment allows it and the user has authorized delegated or parallel agent work.
If no subagent runner is available, perform independent passes locally and label them as parent work, not subagent results.
Integrate results explicitly; do not paste raw subagent dumps as the final answer.
Verify with checks matched to the task's blast radius.
Save reusable artifacts only when they will help future work.

Workflow Artifacts

Prefer creating a local run directory:

.workflow/<slug>/
|-- plan.md
|-- state.json
|-- orchestration.md
|-- packets/
|-- results/
`-- final-report.md

Use scripts/new_workflow.py to scaffold this structure:

python3 /path/to/codex-dynamic-workflows/scripts/new_workflow.py "Task title"

Keep plan.md human-readable. Use state.json for status, packet IDs, approval state, and verification state. Use orchestration.md as the executable mental model: the sequence the agent will follow, the branching rules, and the packet prompts.

Orchestration Plan

Draft a concise plan with:

Goal:
Success criteria:
Current context:
Constraints:
Risks:
Approval required:
Workflow artifact path:
Work packets:
Integration policy:
Verification:
Reusable artifacts:

Do not over-plan obvious work. The plan should be detailed enough to guide delegation and verification, not a substitute for execution.

Approval Gates

Obtain missing authorization before consequential actions: publishing or sending to a named destination, production mutations, destructive deletion or history rewriting, credential/account/security changes, or materially costly workloads. Existing explicit authorization persists within its scope. A generic request to implement does not authorize unrelated external actions.

Authorized local edits, including replacing file contents as part of the requested change, and relevant disposable-fixture checks may proceed. Prepare the concrete result before asking for any missing authorization. Continue independent preparation and repair while a consequential action awaits approval.

Use risk-gates.md when the action's authorization is unclear.

Goal Mode

Create a goal only when explicitly requested by the user or system/developer instructions and supported by the current tool contract. A request to run a workflow, work for several turns, or continue implementation is not by itself a request to create a tracked goal. Keep any authorized goal's full objective intact.

Work Packets

Each packet must be self-contained:

Packet ID:
Objective:
Context:
Files / sources:
Ownership:
Do:
Do not:
Expected output:
Verification:

Prefer packets with disjoint ownership:

codebase discovery
dependency or API research
implementation slice
tests and fixtures
docs and examples
UX or product review
security or risk review
final verification

For code-edit packets, assign non-overlapping files or modules. Tell workers they are not alone in the codebase, must not revert others' edits, and must adapt to concurrent changes.

Subagents

When a subagent runner is available:

Spawn only concrete, bounded, materially useful subtasks.
Keep immediate blocking work local.
Delegate sidecar work that can run while the main agent makes progress.
Avoid duplicate work across agents.
Ask workers to edit directly only when their write scope is disjoint and clear.
Wait for subagents only when their result is needed for the next critical-path step.

When no subagent runner is available:

Perform isolated packet passes locally and label them as parent work.
Read only packet-relevant files during each pass.
Write packet notes under results/.
Integrate only after packet outputs are separate.

Integration

After packets complete, synthesize:

Accepted:
Rejected:
Conflicts:
Decisions:
Final changes:
Remaining risks:

Resolve conflicts explicitly. If two packets disagree, inspect the authoritative source before choosing.

Use scripts/collect_results.py to produce an integration checklist from result files:

python3 /path/to/codex-dynamic-workflows/scripts/collect_results.py .workflow/<slug>

Verification

Run the narrowest reliable checks first, then broaden as risk warrants:

unit tests for touched code
typecheck or lint
build
browser or UI smoke test
script dry run
source citation check
migration dry run
manual checklist for non-code work

Use scripts/verify_workflow.py to check workflow artifact completeness:

python3 /path/to/codex-dynamic-workflows/scripts/verify_workflow.py .workflow/<slug>

Report skipped checks honestly. Do not treat a workflow as complete until the evidence proves the original success criteria.

Reusable Recipes

When a run produces a useful pattern, save a concise recipe in a project-appropriate location, such as .workflow/recipes/<name>.md or a repo docs folder. Include:

trigger
plan shape
packet list
verification checklist
known risks

Do not save transcripts, secrets, bulky logs, credentials, or sensitive personal details.

References

Read references/plan-schema.md when a machine-readable workflow plan is useful.
Read references/risk-gates.md before risky or ambiguous operations.
Read references/validation-examples.md when forward-testing or improving this skill.

Lihat sumber ↗

Metadata berkas

name: codex-dynamic-workflows
description: "Design a multi-agent workflow for a complex task when the user requests dynamic orchestration."

Lihat teks asli

---
name: codex-dynamic-workflows
description: "Design a multi-agent workflow for a complex task when the user requests dynamic orchestration."
---

# AI Agent Dynamic Workflows

## Decision Rule

## Operating Contract

When using this skill:

1. Restate the goal and success criteria.
2. Create or update a workflow artifact before delegating.
3. Check authorization for consequential actions against the boundaries below; do not ask again for an action already authorized within scope.
4. Create a goal only when explicitly requested by the user or system/developer instructions; ordinary multi-turn work does not authorize goal creation.
5. Split work into disjoint packets with clear ownership.
6. Spawn subagents only when the current environment allows it and the user has authorized delegated or parallel agent work.
7. If no subagent runner is available, perform independent passes locally and label them as parent work, not subagent results.
8. Integrate results explicitly; do not paste raw subagent dumps as the final answer.
9. Verify with checks matched to the task's blast radius.
10. Save reusable artifacts only when they will help future work.

## Workflow Artifacts

Prefer creating a local run directory:

Use `scripts/new_workflow.py` to scaffold this structure:

```bash
python3 /path/to/codex-dynamic-workflows/scripts/new_workflow.py "Task title"
```

Keep `plan.md` human-readable. Use `state.json` for status, packet IDs, approval state, and verification state. Use `orchestration.md` as the executable mental model: the sequence the agent will follow, the branching rules, and the packet prompts.

## Orchestration Plan

Draft a concise plan with:

```text
Goal:
Success criteria:
Current context:
Constraints:
Risks:
Approval required:
Workflow artifact path:
Work packets:
Integration policy:
Verification:
Reusable artifacts:
```

Do not over-plan obvious work. The plan should be detailed enough to guide delegation and verification, not a substitute for execution.

## Approval Gates

Use [risk-gates.md](references/risk-gates.md) when the action's authorization is unclear.

## Goal Mode

## Work Packets

Each packet must be self-contained:

```text
Packet ID:
Objective:
Context:
Files / sources:
Ownership:
Do:
Do not:
Expected output:
Verification:
```

Prefer packets with disjoint ownership:

- codebase discovery
- dependency or API research
- implementation slice
- tests and fixtures
- docs and examples
- UX or product review
- security or risk review
- final verification

For code-edit packets, assign non-overlapping files or modules. Tell workers they are not alone in the codebase, must not revert others' edits, and must adapt to concurrent changes.

## Subagents

When a subagent runner is available:

- Spawn only concrete, bounded, materially useful subtasks.
- Keep immediate blocking work local.
- Delegate sidecar work that can run while the main agent makes progress.
- Avoid duplicate work across agents.
- Ask workers to edit directly only when their write scope is disjoint and clear.
- Wait for subagents only when their result is needed for the next critical-path step.

When no subagent runner is available:

- Perform isolated packet passes locally and label them as parent work.
- Read only packet-relevant files during each pass.
- Write packet notes under `results/`.
- Integrate only after packet outputs are separate.

## Integration

After packets complete, synthesize:

```text
Accepted:
Rejected:
Conflicts:
Decisions:
Final changes:
Remaining risks:
```

Resolve conflicts explicitly. If two packets disagree, inspect the authoritative source before choosing.

Use `scripts/collect_results.py` to produce an integration checklist from result files:

```bash
python3 /path/to/codex-dynamic-workflows/scripts/collect_results.py .workflow/<slug>
```

## Verification

Run the narrowest reliable checks first, then broaden as risk warrants:

- unit tests for touched code
- typecheck or lint
- build
- browser or UI smoke test
- script dry run
- source citation check
- migration dry run
- manual checklist for non-code work

Use `scripts/verify_workflow.py` to check workflow artifact completeness:

```bash
python3 /path/to/codex-dynamic-workflows/scripts/verify_workflow.py .workflow/<slug>
```

Report skipped checks honestly. Do not treat a workflow as complete until the evidence proves the original success criteria.

## Reusable Recipes

When a run produces a useful pattern, save a concise recipe in a project-appropriate location, such as `.workflow/recipes/<name>.md` or a repo docs folder. Include:

- trigger
- plan shape
- packet list
- verification checklist
- known risks

Do not save transcripts, secrets, bulky logs, credentials, or sensitive personal details.

## References

- Read `references/plan-schema.md` when a machine-readable workflow plan is useful.
- Read `references/risk-gates.md` before risky or ambiguous operations.
- Read `references/validation-examples.md` when forward-testing or improving this skill.

Tinjau sumber

Harga dan biaya penggunaan

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Jalankan: Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi: MIT
Harga belum dikonfirmasi: Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

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Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
No critical security issues found. The skill emphasizes authorization gates and avoids claiming subagent capabilities that may not exist.
The helper scripts are read/write local-file utilities only; they do not execute shell commands, access secrets, download content, or perform destructive operations.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

Terindeks

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: DannyMac180/skills
Lisensi: MIT
Versi: Unknown
Push GitHub terakhir: 4 Okt 2026
Direktori diperbarui: 11 Okt 2026
Jalur instruksi: codex-dynamic-workflows/SKILL.md @ 3bd330b64c4e

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

74/100

Kuat

Kepercayaan

59/100

Do not auto-install

Audit

77/100

Perlu ditinjau

Buka audit lengkap Lihat laporan evaluasi

Dependency or permission surface needs review
Permission surface may require sandboxing
No critical security issues found. The skill emphasizes authorization gates and avoids claiming subagent capabilities that may not exist.
The helper scripts are read/write local-file utilities only; they do not execute shell commands, access secrets, download content, or perform destructive operations.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

Akses agent

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka API pemasangan Format teks LLM Buka Manifest Rencana resolusi otomatis

Detail lainnya

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      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
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}

Untuk kreator

Sumber listing

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Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: DannyMac180
Sumber: DannyMac180/skills
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan DannyMac180, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/dannymac180-codex-dynamic-workflows?metric=listed&label=Listed)](https://www.openagentskill.com/skills/dannymac180-codex-dynamic-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/dannymac180-codex-dynamic-workflows?metric=trust&label=Trust)](https://www.openagentskill.com/skills/dannymac180-codex-dynamic-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/dannymac180-codex-dynamic-workflows?metric=audit&label=Audit)](https://www.openagentskill.com/skills/dannymac180-codex-dynamic-workflows/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/dannymac180-codex-dynamic-workflows?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/dannymac180-codex-dynamic-workflows?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.