SkillsAdd

smithery.ai

skill-flow-orchestrator

Meta-skill that orchestrates other skills into intelligent, self-coordinating workflows. Use when complex tasks require multiple skills working together, need automated skill routing based on task analysis, want to save and replay successful skill combinations, need state persistence across skill boundaries, or building multi-stage processing pipelines. Provides 4 modes - QUICK (1-2min, single skill), STANDARD (5-10min, multi-skill chains), DEEP (15-30min, DAG composition), EXPERT (custom, lear…

First seen Apr 20, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Summary

  • Meta-skill that orchestrates other skills into intelligent, self-coordinating workflows.
  • Use when complex tasks require multiple skills working together, need automated skill routing based on task analysis, want to save and replay successful skill combinations, need state persistence across skill boundaries, or building multi-stage processing pipelines.
  • Provides 4 modes - QUICK (1-2min, single skill), STANDARD (5-10min, multi-skill chains), DEEP (15-30min, DAG composition), EXPERT (custom, learning optimization).

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npx skills add https://smithery.ai
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,178 B
  • docs SUMMARY.md 549 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Skill-Flow-Orchestrator (SFO)

Production-ready Skill Orchestration System that transforms isolated skills into an intelligent, self-coordinating ecosystem.

Core Capabilities

  1. Intelligent Routing - Match task DNA to skill DNA for optimal selection
  2. Flow Composition - Build skill chains as Directed Acyclic Graphs (DAGs)
  3. Context Management - Persist state across skill executions (hybrid: memory file + in-prompt)
  4. Chain Templates - Save successful chains as reusable workflows
  5. Adaptive Learning - Optimize routing based on execution outcomes

When to Use

  • Complex tasks: Require multiple skills working together
  • Automated selection: Need intelligent skill routing based on task analysis
  • Workflow reuse: Save and replay successful skill combinations
  • Context continuity: Need state persistence across skill boundaries
  • Pipeline automation: Building multi-stage processing workflows

4 Orchestration Modes

Mode Duration Features Best For
QUICK 1-2 min Basic routing, single skill Simple task delegation
STANDARD 5-10 min Multi-skill chains, context passing Common workflows
DEEP 15-30 min Full DAG composition, parallel execution Complex pipelines
EXPERT Custom Learning optimization, template management Production workflows

Quick Start

1. Scan Available Skills

python3 .agent/skills/skill-flow-orchestrator/scripts/scan_skills.py

Output: .agent/sfo/skill_index.json - indexed skills with DNA

2. Match Skills to Task

python3 .agent/skills/skill-flow-orchestrator/scripts/match_skills.py "<task_description>"

Returns ranked skills with match scores

3. Orchestrate Workflow

python3 .agent/skills/skill-flow-orchestrator/scripts/orchestrate.py --mode standard "<task>"

Orchestration Workflow

  1. INTAKE - Parse task, extract requirements
  2. ANALYZE - Match task DNA with skill DNA using semantic matching
  3. COMPOSE - Build execution DAG from matched skills
  4. EXECUTE - Run skills in order, passing context
  5. ADAPT - Log outcomes, update routing weights

Context Management

  • Long-term state: .agent/sfo/context.json
  • Chain templates: .agent/sfo/templates/
  • Execution logs: .agent/sfo/logs/

References

  • [Orchestration Modes](references/modes.md) - Detailed mode configurations
  • [DAG Composition](references/dag.md) - Building skill chains
  • [Template System](references/templates.md) - Saving/loading workflows