skill-synthesis

Compose multiple installed skills into one coordinated execution stack with ordered packets, minimal context load, and deterministic handoff artifacts. Use when tasks span multiple domains (for example HYDRA + browser + training + deploy) and you need a single combined workflow instead of invoking skills one-by-one.

6 stars

Best use case

skill-synthesis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Compose multiple installed skills into one coordinated execution stack with ordered packets, minimal context load, and deterministic handoff artifacts. Use when tasks span multiple domains (for example HYDRA + browser + training + deploy) and you need a single combined workflow instead of invoking skills one-by-one.

Teams using skill-synthesis should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/skill-synthesis/SKILL.md --create-dirs "https://raw.githubusercontent.com/issdandavis/SCBE-AETHERMOORE/main/external/codex-skills-live/skill-synthesis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/skill-synthesis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How skill-synthesis Compares

Feature / Agentskill-synthesisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Compose multiple installed skills into one coordinated execution stack with ordered packets, minimal context load, and deterministic handoff artifacts. Use when tasks span multiple domains (for example HYDRA + browser + training + deploy) and you need a single combined workflow instead of invoking skills one-by-one.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Skill Synthesis

## Overview
Use this skill to fuse multiple installed skills into one execution loop with clear ordering, packet boundaries, and artifacts.

## Quick Start

1. Build a stack from a task prompt.
```powershell
python C:\Users\issda\.codex\skills\skill-synthesis\scripts\compose_skill_stack.py --task "Build gamma funnels and deploy" --top 8
```

2. Run the resulting packets in order from highest leverage to lowest risk.

## Workflow

### 1) Select Minimal Stack
- Pick one **primary** skill (owns outcome).
- Pick up to four **support** skills (execution lanes).
- Do not load the whole skill catalog unless explicitly requested.

### 2) Build Ordered Packets
- Packet A: discovery/research
- Packet B: implementation
- Packet C: validation/smoke
- Packet D: publish/deploy
- Packet E: evidence + vault notes

### 3) Execute with Context Discipline
- Keep live context to only the active packet.
- Move long notes to artifacts or vault docs.
- Keep source links and proofs in packet output.

### 4) Output Contract
- stack plan JSON
- ordered packet list
- execution report (what ran, what passed, what is blocked)

## Built-in Stack Profiles

### `hydra-library-wing`
- `hydra-agent-relay-synthesis`
- `aetherbrowser-arxiv-nav`
- `aetherbrowser-github-nav`
- `hugging-face-model-trainer`
- `notion`

Use for deep research + dataset handoff + multi-agent synthesis.

### `revenue-gamma-funnel`
- `living-codex-browser-builder`
- `article-posting-ops`
- `scbe-shopify-money-flow`
- `aetherbrowser-shopify-nav`
- `vercel-deploy`

Use for landing pages, conversion flow, and web deployment.

### `platform-release`
- `development-flow-loop`
- `playwright`
- `scbe-connector-health-check`
- `vercel-deploy`

Use for implementation -> smoke -> deploy.

## Rules
- Favor official docs and primary sources for unstable facts.
- Keep stack size small unless user explicitly asks for full-spectrum mode.
- Prefer deterministic scripts and repeatable packets over ad-hoc chat instructions.
- Record evidence paths for every packet.

## Resources

### scripts/
- `compose_skill_stack.py`: Generate ranked skill stacks and packet plans from a task description.

### references/
- `stack-profiles.md`: Reusable profile templates and packet recipes.

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