openclawv1.0.0

Decision Orchestrator Skill

@Klarinia⭐ 0 stars· last commit 6mo ago· 0 open issues

OpenClaw skill from Klarinia

Choose how to use this skill

You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.

Adopt or update this skill from https://proskills.md/skills/other/decision-orchestrator-skill. First identify the installation path supported by this platform, detect whether it is already installed, compare the installed version with the latest stable release, show me what will change, and only then install or update it. If no native installer is available, use the complete package or source fallback described on the page.

1. Native installer

This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.

Do not guess an installer command or replace an existing version without reviewing the diff.

2. Complete package recommended

Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.

No complete ProSkills package is published for this listing yet.

3. Prompt-only

Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.

Need only the instruction file?

Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.

No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.

8.0/10

Verified

Apr 29, 2026

// RATINGS

⭐GitHub Stars

⭐ 0 on GitHubGitHub ↗

New / niche

🟢ProSkills ScoreAI Verified

8.0/10

📍

Not yet listed on ClawHub or SkillsMP

// README

Decision Orchestrator Skill

English | 简体中文

A production-oriented skill that runs a full Router -> Advisors -> CEO Final decision workflow in one command.

Designed for:

Codex workflows
Claude Code workflows
OpenClaw pipeline handoff

1. Why This Skill

Manual multi-prompt orchestration is slow and inconsistent. This skill turns it into a deterministic run package:

Standardized structure
Traceable decision artifacts
Faster execution from idea to action
OpenClaw-compatible payload output

2. Workflow Architecture

Input JSON
   |
   v
Router (classify + route)
   |
   v
Advisor Chain (domain-specific analysis)
   |
   v
CEO Final (conflict merge + final decision + action plan)
   |
   v
Run Artifacts + OpenClaw Payload

Routing Logic (default)

Growth Strategy: Drucker -> Buffett -> Musk
Product/Experience: Jobs -> KenyaHara -> Musk
High-Impact Decision: Munger -> Drucker -> Buffett -> Musk
Execution-Stuck: Musk

3. Advisor/Prompt Responsibilities

Router Prompt

Goal: classify case type, route advisors, identify data gaps.
Output: category/confidence/route/handoff notes.
Constraint: no final business decision.

Drucker (Value Definition)

Focus: customer identity and value clarity.
Checks: customer-fit, value proposition, evidence quality.
Hard stop: no clear customer value.

Jobs (Experience Quality)

Focus: user flow clarity and decision friction.
Checks: flow coherence, message clarity, content reduction.
Hard stop: user cannot understand value quickly.

Kenya Hara (System Simplicity)

Focus: structural necessity and cognitive load.
Checks: remove/merge/rename for minimal complexity.
Hard stop: complexity increases without clarity gain.

Munger (Multi-Model Decision)

Focus: cross-model risk decomposition.
Checks: economics + psychology + probability consistency.
Hard stop: key assumptions untestable or tail risk unmanaged.

Buffett (Moat and Focus)

Focus: strategic moat reinforcement.
Checks: moat gain, imitation risk, opportunity cost.
Hard stop: clear strategic drift from core positioning.

Musk (Execution Velocity)

Focus: move from analysis to immediate execution.
Checks: 48-hour launchable action plan, measurable criteria.
Hard stop: no owner or no measurable deliverable.

CEO Final Prompt

Goal: merge conflicting advisor outputs and finalize decision.
Output: final decision, tradeoffs, 48h/7d actions, kill criteria.
Constraint: explicit accountability and review date.

4. Run Artifacts

Each run folder includes:

01-decision-input.md
02-router-output.yaml
03-agent-outputs.yaml
04-ceo-final.yaml
05-decision-log.md
06-review-summary.md
07-one-shot-prompt.md
openclaw-payload.json

5. Quick Start

python3 scripts/run_multi_advisor.py \
  --input references/openclaw-input.example.json \
  --runs-root ./runs \
  --owner "Decision Owner"

6. OpenClaw Integration

Use the same input schema as references/openclaw-input.example.json.

Output openclaw-payload.json can be passed directly to downstream nodes for:

artifact indexing
post-processing
notification/reporting

7. UI Profile Config (Not GitHub Account Identity)

This section controls only skill UI display metadata inside agents/openai*.yaml. It does not control your GitHub commit account name/avatar.

Default profile: agents/openai.yaml
Alternate profile: agents/openai.chatgpt.yaml

To switch profile style, copy the alternate file content into agents/openai.yaml and commit.

8. Repository Structure

decision-orchestrator-skill/
├── SKILL.md
├── README.md
├── README.zh-CN.md
├── agents/
│   ├── openai.yaml
│   └── openai.chatgpt.yaml
├── assets/
├── references/
│   └── openclaw-input.example.json
├── docs/
│   └── agents.md
└── scripts/
    └── run_multi_advisor.py

9. Versioning Guidance

Use semantic tags for workflow/runtime changes.
Keep prompt-structure changes backward-compatible where possible.
Log routing or scoring logic changes in commit messages.

10. License

Use and adapt freely for your own workflow repository.

11. Detailed Prompt Spec

For a strict output contract by role, see docs/agents.md.

// HOW IT'S BUILT

KEY FILES

README.mdREADME.zh-CN.mdSKILL.md

// REPO STATS

0 stars

0 open issues

Last commit: 6mo ago

// SHARE

Share on X Share on LinkedIn