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brief-me

briefme / brief-me: Turn complex AI analysis into a consultant-style, visual, interactive decision briefing.

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Set up

Skills are installed by placing their folder where your agent loads skills.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below; one-click install arrives with accounts.

README

synced Oct 14, 2026

Brief Me (briefme / brief-me)

简体中文

Search aliases: briefme, brief-me, and Brief Me.

Turn complex AI analysis into a consultant-style visual briefing you can understand, respond to, and decide from. It connects findings, support, impact, and response before choosing visuals or controls.

Turn the analysis into a briefing.

AI can generate more background, analysis, options, and risk assessment than a decision-maker can reasonably absorb. The person who has to make the call is still left rebuilding the storyline, finding the important relationships, and comparing the trade-offs across dozens of screens of text.

Brief Me turns that material into a consultant-style, interactive visual HTML briefing. It leads with what matters, makes the situation, data, and consequences visible, then lets the reader compare scenarios, change conditions, and express a view—supporting a higher-quality judgment.

Read the Chinese case notes · Open the interactive examples.

From complex analysis to a real briefing

Long, complex analysis from AI, research, or planning
                         ↓ consultant synthesis
               A conclusion-first storyline
                         ↓ visual understanding
          Relationships, data, trade-offs, and impact
                         ↓ decision interaction
          Compare, change conditions, and respond
                         ↓
                  A current decision

Case examples

These two fictional cases show the intended shift: connect the material into a judgment path before choosing cards, charts, or controls. The screenshots are durable repository assets; the linked page keeps the full interactive version.

Workshop: make capacity and sequence visible

The visual puts 12 available material kits and a possible 30 attendees on one scale, then connects “confirm the limit → announce → run the workshop → decide whether to expand.” The response controls sit beside that choice so a reader can add conditions or disagree.

New-user guide: move the task entry to where it is needed

The route comparison makes the change concrete: first login moves from page 7 to the entry point, while background remains available on demand. The expected benefit stays marked as unverified.

Open both interactive examples · Read the detailed Chinese case notes

Three capabilities

Consultant synthesis

Identify who must decide what, then select, rank, and organize the material like a well-prepared advisor. Put the conclusion, conflict, or trade-off with the greatest decision value first, and keep supporting detail available on demand.

Visual understanding

First name the relationship the reader needs to understand, then choose comparison, relationship maps, data charts, causal chains, timelines, roadmaps, or scenario views. Hierarchy helps the reader find the point; a visual must explain a relationship, not merely arrange labels or cards.

Decision interaction

Let the reader change the comparison, inspect support, adjust a condition, see the affected reasoning, and respond in their own words. When a change requires new model reasoning, the briefing captures the feedback and hands it back to the conversation.

What it creates

  • A self-contained HTML briefing that opens directly and is easy to review or share.
  • A consultant-style storyline designed for this decision rather than a table of contents for the source material.
  • At least one visual treatment that materially lowers the cost of understanding.
  • At least one meaningful interaction that gives the decision-maker more power than passive reading.
  • A copyable summary of the current judgment and feedback for continuing the conversation.

One-line install

npx skills add jinhanbuilds/brief-me --skill brief-me -y

This package follows the Agent Skills specification. The command above uses the cross-host skills CLI; add --agent <host> when you need to select a supported host explicitly. For a manual install, copy skills/brief-me/ into a directory your host scans, such as ~/.agents/skills/brief-me/ where the shared convention is supported.

The core SKILL.md and its relative references are host-neutral. skills/brief-me/agents/openai.yaml and .codex-plugin/plugin.json are optional OpenAI/ChatGPT/Codex metadata; compatible non-OpenAI hosts may ignore them. Full delivery still requires a host that can create local HTML artifacts and open them for review.

Reopen the Agent host after installation, then invoke:

$brief-me Turn the long analysis above into a conclusion-first, interactive visual briefing that helps me make the decision.

Common requests

$brief-me Brief me on this: show me the whole situation, then compare the three directions.

$brief-me Turn this research into a decision briefing with data visuals and scenario switching.

$brief-me Present the analysis like a consultant and let me change conditions or add my own view.

The Skill may also be used when the user explicitly asks for a briefing such as “给我做个汇报” and both complex analysis and a real judgment task already exist.

Good inputs

Brief Me is strongest when the analysis already contains some combination of:

  • a question or recommendation;
  • background, research, data, options, or a working judgment;
  • meaningful differences, relationships, trade-offs, or consequences;
  • a real person who must decide, approve, change, or defer something.

If the material cannot yet support any judgment, Brief Me identifies what is missing instead of hiding the gap behind a polished interface.

Boundaries

  • General summaries, pure status dashboards, and archives with no judgment task are outside its scope.
  • Each briefing is designed from the current problem rather than forced into a fixed dashboard, matrix, or deck outline.
  • It does not fabricate scores, probabilities, data, or dynamic calculations.
  • It does not write a displayed choice back to a source system or treat feedback as authorization.
  • It preserves source, date, unit, and uncertainty when they matter to the decision.

Generated HTML may contain sensitive source material. Review it before sharing or publishing.

Package contents

  • skills/brief-me/ — the complete runtime Skill and design references.
  • docs/product-story.zh-CN.md — detailed Chinese case notes with screenshots and reasoning.
  • .codex-plugin/plugin.json — optional OpenAI/ChatGPT/Codex Plugin metadata.
  • scripts/ and tests/ — package validation, reproducible case captures, maintainer-only local installation sync, and release building.
  • skills/brief-me/evals/ — result-level behavior cases that inspect generated briefing artifacts.

Status and validation

The interactive examples and case notes show how the same material can become a connected finding, visual explanation, and response. They are fictional teaching material, not a fixed layout.

Validation has three layers: structural checks establish that the package and self-contained HTML are complete; browser checks exercise real state changes, feedback copying, and narrow layouts; experience review follows the reading path to judge whether the storyline is coherent, the visual explains a relationship, and the response sits beside the relevant reasoning. Passing the first two layers does not establish overall briefing quality.

Current release candidate: v0.1.0.

npm run validate
npm run examples:check
npm test
npm run build

Contributors with skill-up installed can also run npm run eval:validate and npm run eval:run. These cases inspect generated HTML rather than treating package structure as proof of product behavior.

Package validation establishes that the release is complete and installable. Result-level evaluation then asks the concrete product question: did the synthesis reduce cognitive load, did the visuals expose the important relationships, and did the interaction help the decision-maker form and express a judgment?

License

MIT © 2026 Jinhan

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