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Brief

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garrettjsmith
brief

Manages persistent work state (briefs) for local SEO engagements. Automatically load this skill when starting work on a specific business or location, when a user says "resume," "continue," "pick up where we left off," or references a specific client or location by name. Also load when any tool call is about to be made for a business, that's the trigger to create or update a brief. Load when receiving output from a scheduled task.

Overview

Publishergarrettjsmith
Repositorylocalseoskills
Skill namebrief
Stars
140
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by garrettjsmith on GitHub. Read the source before you install it.

Installation

Install the Brief AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/garrettjsmith/localseoskills/tree/main/skills/brief
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git /tmp/localseoskills
mkdir -p .claude/skills
cp -r /tmp/localseoskills/skills/brief .claude/skills/brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brief in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brief on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brief is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brief Management

Briefs are persistent work state for local SEO engagements. One brief per location. Brand rollup for multi-location work. Scheduled task outputs extend the brief over time, building a compounding history of every scan, audit, report, and finding for each business.


Structure

briefs/
  {brand}/
    _brand.brief.md          ← config + rollup across all locations
    reports/                 ← brand-level rollup reports
    {location}/
      location.brief.md      ← always current, always lean
      reports/               ← weekly, monthly, QBR reports
      scans/                 ← geogrid scans, citation audits, page audits
      drafts/                ← GBP posts, review responses awaiting approval
      alerts/                ← monitoring alerts

First Run Detection

This is the most important section. When a user mentions a specific business and no brief exists, do not proceed with their request yet. Run setup first, then circle back to what they asked for.

Detection

Before doing any work for a specific business, check for an existing brief:

  • Claude Code: look for briefs/{brand-slug}/{location-slug}/location.brief.md
  • Claude Project: check Project knowledge base for a brief file for this business
  • If found: go to Resuming from a Brief
  • If not found: go to First Run Setup

First Run Setup

Tell the user:

"I don't have a brief for [Business Name] yet. Let me grab a few details so I can track everything going forward. This takes about 2 minutes."

Then ask these questions one at a time, not all at once:

Q1: "What's the primary keyword you want to rank for? (e.g. 'plumber buffalo ny')"

Q2: "What's the website URL?"

Q3: "How far does the service area extend? (e.g. 5 miles, 20 miles)"

Q4: "Are you managing this for a client, or is this your own business?"

  • If client, ask: "What's the client's email for reports?"
  • If own business, skip

Q5: "Do you want alerts and reports sent to a Slack channel?" (optional, skip if they say no)

That's it. Don't ask for more than these unless something is genuinely ambiguous.

After Questions

  1. Create brief folder structure:

    • briefs/{brand-slug}/{location-slug}/location.brief.md
    • briefs/{brand-slug}/{location-slug}/reports/
    • briefs/{brand-slug}/{location-slug}/scans/
    • briefs/{brand-slug}/{location-slug}/drafts/
    • briefs/{brand-slug}/{location-slug}/alerts/
    • briefs/{brand-slug}/_brand.brief.md
  2. Populate Identity section from answers and any context already in the conversation

  3. Configure _brand.brief.md approval block from Q4/Q5 answers

  4. Run initial audit automatically, don't ask permission:

    • LocalSEOData local_audit
    • LocalSEOData business_profile + profile_health
    • LocalSEOData geogrid_scan (7x7, primary keyword, stated radius)
    • LocalSEOData citation_audit
    • LocalSEOData review_velocity + google_reviews
    • LocalSEOData competitor_gap
  5. Populate Findings from audit results

  6. Set Next Action to the single highest-priority fix

  7. Offer scheduled task setup:

    "Brief created and initial audit done. I found [X critical, Y important issues]. [Top finding in one sentence].

    Want me to set up automated monitoring? I can configure weekly ranking scans, review monitoring, GBP change detection, and monthly reports to run automatically."

    If yes, go through task list from tasks/README.md, recommend based on audit findings, configure via /schedule If no, proceed with original request

  8. Then return to what the user originally asked for:

    "Now let me [original request]..."

For Claude Project / Browser Users

If no filesystem access: run the same conversation and audit, then output the brief as formatted text at the end of setup:

"Here's your brief. Add this to your Project knowledge base so I'll have it next time:" [brief content]


When to Create a Brief (Non-First-Run)

Outside of first run, create a brief mid-session if:

  • A tool call is about to be made for a business with no brief
  • User explicitly asks to create one

Do not create briefs for:

  • General local SEO questions with no specific business
  • Tool or skill explanations
  • Single-question answers with no live data

Brief Location

Claude Code / Cowork:

briefs/{brand-slug}/{location-slug}/location.brief.md

Claude Project: Upload brief file to Project knowledge base after creation. Tell user to do this if they haven't.


Updating a Brief (Manual Sessions)

At end of every session:

  1. Session Log. One line: date + what was worked on
  2. Tools Run. Each tool call: date, tool, endpoint, one-line finding
  3. Findings. New issues, categorized Critical / Important / Monitor
  4. Deliverables. Mark completed, add new pending
  5. Next Action. Overwrite with single most important next step

Receiving Scheduled Task Output

When a scheduled task writes an output file:

  1. Read the output file
  2. Add one line to Session Log: [DATE] | {task type} → {one-line finding} → see {output path}
  3. If new Critical findings: update Findings section
  4. Update Next Action if the task surfaced a higher priority than current
  5. Update _brand.brief.md Locations table row for this location

The brief stays lean. Detail lives in the output files. The brief is the index.


Resuming from a Brief

When a user returns to a business:

  1. Read the brief
  2. Read the most recent output file in each subfolder for current state
  3. Summarize in 2-3 sentences: what's been done, key findings, current state
  4. State the Next Action
  5. Ask: "Want to pick up from here, or something specific?"

Do not re-run tools with results in scans/ unless user asks or data is >30 days old.


The Compounding Value

After months of scheduled tasks writing to a brief, the history is queryable:

  • "Why did rankings drop in March?" reads scans/ for that period
  • "How have reviews trended this year?" reads reports/ review monitors
  • "When did this competitor appear?" reads competitor monitors

Never delete output files. Archive if the folder gets unwieldy. The history is the value.


Lessons Flywheel

During every session, manual or scheduled, watch for:

  • Tool returning data that contradicts a skill file
  • A pattern emerging across 3+ locations not documented anywhere
  • GBP, algo, or AI platform behavior differing from documented expectations
  • A tool endpoint behaving unexpectedly

When observed, surface it explicitly:

"I noticed [X] during this session. This pattern isn't in the skill files. Want me to add it to meta/lessons.md for review?"

Wait for confirmation. Then write the lesson.


Multi-Location Brands

After each location session:

  • Update that location's row in _brand.brief.md Locations table
  • Add to Brand-Level Notes only if pattern appears in 3+ locations

Slug Format

Lowercase, hyphens, obvious:

  • Brand: keystone-insurance, mikes-plumbing
  • Location: buffalo, downtown-chicago, pittsburgh-pa

Frequently asked questions

What does the Brief AI skill do?

Manages persistent work state (briefs) for local SEO engagements. Automatically load this skill when starting work on a specific business or location, when a user says "resume," "continue," "pick up where we left off," or references a specific client or location by name. Also load when any tool call is about to be made for a business, that's the trigger to create or update a brief. Load when receiving output from a scheduled task.

Why use Brief on TypingMind?

Because you install it once and use it with any model. Brief is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrettjsmith/localseoskills/tree/main/skills/brief. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brief?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brief?

As many as you like. As long as a model supports skills, you can use Brief with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brief AI skill free?

Yes. It is published on GitHub by garrettjsmith under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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