target-brief-studio
Hand-written end-to-end playbook for a reusable target brief workflow.
Best use case
target-brief-studio is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Hand-written end-to-end playbook for a reusable target brief workflow.
Teams using target-brief-studio 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/target-brief-studio/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How target-brief-studio Compares
| Feature / Agent | target-brief-studio | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Hand-written end-to-end playbook for a reusable target brief workflow.
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
# target-brief-studio ## Goal Produce a delivery-preview-ready first-pass target brief package. ## Inputs - targetName - analysisFocus ## Child Artifacts - collect-target-context - explore-unfamiliar-target - synthesize-brief - render-brief-assets - compose-summary-video - prepare-delivery-preview ## Stage Plan 1. [skill] collect-target-context -> Collect baseline context | inputs: targetName, artifactsRootDir | outputs: target.json, context.md | retry: retry_once 2. [worker] explore-unfamiliar-target -> Explore the unfamiliar target | inputs: targetName, artifactsRootDir, analysisFocus | outputs: findings.md, highlights.json, limitations.json, worker-summary.json | retry: pause_for_human | budget: maxMinutes=12 3. [skill] synthesize-brief -> Convert findings into a summary packet | inputs: findings.md, highlights.json, limitations.json, context.md | outputs: summary.json, brief.md | retry: retry_once 4. [skill] render-brief-assets -> Render the cover and summary-card images | inputs: target.json, summary.json, brief.md | outputs: cover.png, summary-card.png | retry: retry_once 5. [skill] compose-summary-video -> Render the draft summary video | inputs: cover.png, summary-card.png, screenshots/*, brief.md | outputs: draft.mp4 | retry: retry_once 6. [skill] prepare-delivery-preview -> Assemble the delivery preview payload | inputs: target.json, brief.md, draft.mp4, cover.png | outputs: delivery/preview.json | retry: retry_once 7. [approval] delivery-preview -> Wait for human approval before delivery | outputs: approval.state | approval: delivery_preview ## Output Contract - draft.mp4 - delivery/preview.json - summary.json - brief.md ## Approval Gates - Human review before delivery ## Failure Policy - Preserve generated artifacts between retries - Pause for human review if the exploration worker hits a hard UI block
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