Orchestration Suggest

Recommends the optimal reasoning pattern or sequence of skills based on task complexity, constraints, and domain.

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Overview & Purpose

Orchestration Suggest acts as a meta-cognitive router, analyzing a user prompt and recommending which specific reasoning skills or workflows should be chained together for optimal problem solving.

When to Use

  • Complex Unstructured Prompts: When it is unclear which thinking framework is best suited.
  • Workflow Planning: Designing multi-stage agent execution chains.

Execution Workflow

  1. Analyze Task Attributes: Evaluate complexity, domain, certainty, and constraint rigidity.
  2. Match Reasoning Patterns: Select candidate frameworks (e.g., sequential-thinking, pdr-reasoning, tree-of-thought).
  3. Construct Execution Sequence: Order selected patterns into a coherent workflow pipeline.
  4. Provide Rationale: Explain why the chosen sequence fits the task profile.

Expected Output Contract

### Recommended Orchestration Pipeline
1. `Step 1: [Skill Name]` - [Rationale]
2. `Step 2: [Skill Name]` - [Rationale]
- **Estimated Complexity**: [Low / Medium / High]

Scripts

  • scripts/orchestration_suggest.py - Deterministic evaluation, state validation, and CLI tool for orchestration-suggest.

felipecustodio/clear-thought-skills/tree/main/skills/orchestration-suggest commit b8f6cacabd

Frequently asked questions

npx skillmds@latest add felipecustodio/orchestration-suggest