Reports logo

Reports

CommunityPopular
garrytan
reports

Save and load timestamped reports. Keyword routing for fast lookup. Cron jobs save output as reports; the agent or user queries them by keyword. Includes the Actionability Gate: delivery-time link checks (Broken/Dead/Indirect/ Missing) for briefings, meeting digests, and research reports.

Overview

Publishergarrytan
Repositorygbrain
Skill namereports
Stars
30.1K
Forks
4.5K
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Reports 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.
  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/garrytan/gbrain.git /tmp/gbrain
mkdir -p .claude/skills
cp -r /tmp/gbrain/plugin-variants/gbrain-daily/skills/reports .claude/skills/reports
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reports 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 Reports 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 Reports 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.

Reports Skill

Contract

This skill guarantees:

  • Reports saved with timestamped filenames and frontmatter
  • Keyword routing: query → report category mapping
  • Latest report loadable by category name
  • Reports are searchable via gbrain search/query
  • Outbound reports pass the Actionability Gate (below) before delivery

Phases

  1. Save report. Write to reports/{category}/{YYYY-MM-DD-HHMM}.md with frontmatter:
    yaml
    ---
    title: {report title}
    type: report
    category: {category name}
    date: {YYYY-MM-DD}
    time: {HH:MM PT}
    ---
  2. Load latest. Given a category, find the most recent report file.
  3. Keyword routing. Map common queries to report categories:
    • "email" / "inbox" → ea-inbox-sweep
    • "social" / "mentions" → social-mentions
    • "briefing" / "morning" → morning-briefing
    • "meeting" → meeting-sync
    • Custom mappings configurable

Output Format

Saved: reports/{category}/{YYYY-MM-DD-HHMM}.md Loaded: full report content with metadata.

Actionability Gate

Before any report reaches the user — a morning briefing, a meeting digest, a research report — every link must answer one question: can the user click this and immediately act? The link canon (deterministic, never-guessed URLs) lives in skills/_output-rules.md under Deterministic Links; this gate adds the delivery-time failure taxonomy and the retry loop.

Four failure modes

ModeWhat it meansExample
BrokenLink is fake or a placeholderhttps://example.com, TODO-find-link
DeadLink to a brain page that isn't committed/pushedPage written but not pushed — the link 404s
IndirectLink goes somewhere, but not the right placex.com/alice-example (profile) instead of x.com/alice-example/status/<id> (the specific post)
MissingActionable item mentioned with no link at all"the clip making the rounds (~800K views)" with no URL

Broken, Dead, and Indirect block delivery. Missing is a warning — flag it, don't block. A missing link is honest. An indirect link is a broken promise.

Blocked vs warning

PatternStatusWhy it fails
x.com/<handle>BlockedProfile ≠ post. Link to x.com/<handle>/status/<id>
Bare publication domainBlockedHomepage ≠ article. Add the article path
youtube.com/@channelBlockedChannel ≠ video. Link to youtube.com/watch?v=...
Brain-page link, file uncommittedBlockedLink 404s until committed + pushed
example.com / TODO placeholderBlockedNot a real link
google.com/search?q=...WarningSearch ≠ source. Link to the actual result
Actionable bullet with no URLWarningWhere? Link it or describe how to find it

The retry loop (agent-run checks)

There is no enforcement script. The agent runs these checks itself before delivering any report with links:

  1. Compose the report.
  2. Scan every link against the failure modes above:
    • Brain-page links: run git status in the brain repo — an uncommitted page behind a link is a Dead link; commit + push first. gbrain get <slug> confirms the page exists at all.
    • External links: a profile, homepage, or channel URL standing in for specific content is Indirect.
  3. If a check fails, fix the link:
    • Have the direct URL (post ID, article path, filing page)? Use it.
    • Don't have it? Search the source for the specific item.
    • Can't find it? Remove the link and describe the content instead: "clip on @alice-example's timeline, ~800K views — search there." Never leave a profile link as a substitute for a content link.
  4. Re-check.
  5. Max 2 retries → deliver with an explicit warning flag if Missing-class warnings remain. Broken, Dead, and Indirect links never ship.

LLM-prompt gate snippet

Paste into any report-generating prompt (subagent digests, research summaries, cron report jobs):

ACTIONABILITY GATE: Before finishing, verify every link answers "can the user
click this and act immediately?"
- Every X link → https://x.com/{user}/status/{post_id} — NEVER a profile link
- Every article → full URL with path — NEVER a bare domain
- Every brain-page link → committed + pushed, or don't link it
- If you don't have the direct URL → describe the content WITHOUT a link
- A missing link is better than an indirect link

Consumers

Report surfaces route through this gate by harness-routing convention (a routing rule the resolver applies, not a mechanical guarantee): morning briefings (skills/briefing/SKILL.md), meeting digests, research reports, and any saved report that carries external links.

Anti-Patterns

  • Saving reports without frontmatter (makes them unsearchable)
  • Using inconsistent category names across runs
  • Loading all reports when only the latest is needed
  • Not routing by keyword (forcing exact category name)
  • Delivering a report with a profile/homepage/channel link standing in for specific content (Indirect links block delivery)
  • Linking a brain page that hasn't been committed and pushed (Dead link)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Reports AI skill do?

Save and load timestamped reports. Keyword routing for fast lookup. Cron jobs save output as reports; the agent or user queries them by keyword. Includes the Actionability Gate: delivery-time link checks (Broken/Dead/Indirect/ Missing) for briefings, meeting digests, and research reports.

Why use Reports on TypingMind?

Because you install it once and use it with any model. Reports 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 Reports in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrytan/gbrain/tree/master/plugin-variants/gbrain-daily/skills/reports. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Reports?

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 Reports?

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

Is the Reports AI skill free?

Yes. It is published on GitHub by garrytan 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇