synthesize-brief

Turn context findings into a summary packet and short brief.

411 stars

Best use case

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

Turn context findings into a summary packet and short brief.

Teams using synthesize-brief 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/synthesize-brief/SKILL.md --create-dirs "https://raw.githubusercontent.com/understudy-ai/understudy/main/packages/gateway/src/__tests__/fixtures/handwritten-playbook-demo/skills/synthesize-brief/SKILL.md"

Manual Installation

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

How synthesize-brief Compares

Feature / Agentsynthesize-briefStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Turn context findings into a summary packet and short brief.

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

# synthesize-brief

## Overall Goal

Convert the exploration context into a concise verdict, summary packet, and short brief.

## Inputs

- findings.md
- highlights.json
- limitations.json
- context.md

## Outputs

- summary.json
- brief.md

## Staged Workflow

1. Merge the baseline and exploration findings into a concise summary.
2. Score usefulness, polish, and first-run clarity.
3. Write `summary.json` and `brief.md`.

## Tool Route Options

- shell for deterministic file generation
- memory for reusing prior scoring language

## Detailed GUI Replay Hints

- None. This stage should stay artifact-first and deterministic.

## Failure Policy

- If findings are incomplete, produce a conservative summary with explicit uncertainty notes.

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