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Morning Note

OrganizationPopular
ginlix-ai
morning-note

Daily research briefing on overnight news, pre-market movers, earnings and macro events. Triggers on morning note, morning meeting, what happened overnight, morning call prep, daily note, trade idea for the open.

Overview

Publisherginlix-ai
RepositoryLangAlpha
Skill namemorning-note
Stars
1.8K
Forks
288
Bundled files
Instructions only
LicenseApache-2.0
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 ginlix-ai on GitHub. Read the source before you install it.

Installation

Install the Morning Note 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/ginlix-ai/LangAlpha.git /tmp/LangAlpha
mkdir -p .claude/skills
cp -r /tmp/LangAlpha/plugins/langalpha_research/skills/morning-note .claude/skills/morning-note
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Morning Note 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 Morning Note 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 Morning Note 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.

Morning Note

One page, read in two minutes, with a view in it. A note that summarises the tape without saying what to think about it wastes the only two minutes the desk will give it.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: .agents/skills/research-conventions/SKILL.md, read before the first deliverable.

Workflow

1. Gather overnight developments, labelled as they land

Earnings and guidance

  • get_earnings_calendar(from_date, to_date) on the macro MCP server for who reported and who reports next.
  • get_company_overview for consensus and the rating distribution; yf_analysis MCP get_upgrades_downgrades for dated rating changes and get_earnings_estimates for the current consensus, which together are the revision reading, since no tool carries a consensus time series and the pre-event estimate level is an evidence gap when a call needs it.
  • Surprises against consensus on revenue, EPS and the metric the name actually trades on.
  • Guidance raised, lowered or maintained, and against what the buy side was carrying.

News and events

  • WebSearch and WebFetch for overnight headlines, deals, management changes, product and regulatory decisions, and rating changes.

Market context

  • get_market_overview for index and sector performance, get_daily_prices for the overnight and pre-market moves, get_economic_calendar for what is still ahead, plus the commodity or currency move that matters to the coverage.

Label each item as it is collected rather than at write-up. A filing and a closed-period data print are fact. A company statement about itself is company claim, with the venue. A consensus figure is a street estimate, with its vintage. A report with no primary document behind it carries the outlet, the time, and whether the date is confirmed, scheduled, estimated or reported. A rumour reaches the note as a rumour, naming who reported it and what would confirm it, or it does not reach the note. The closed label set: .agents/skills/research-conventions/references/evidence.md.

2. Decide what is already priced

Every item that moved something splits one of two ways, and the split is the value the note adds over a headline feed. Apply the test in .agents/skills/research-conventions/references/judgment.md under "Priced in", which needs both the move and the revisions to carry the effect:

  • Priced in: both halves hold; the note says which move and which revisions carry it.
  • Needs proof: anything short of both, and the note names the print or the date that would put the claim in the numbers.

Name the channel or hold the claim. An impact claim runs from the event, through a named transmission channel, to a specific line item. "Tariffs are a headwind for the group" names no channel and does not ship. "A tariff on imported cells lands in module cost of goods sold, and the two names importing most of their supply carry it in gross margin from the September quarter" does. When the channel cannot be named, the item goes in as an observation without an implication, and the next step is source work.

3. Write the note

Two stamps at the top, because they are different facts: the note carries the time it was written, and every figure carries the as-of of the data itself. A note written pre-market is a pre-market note all day; a quote inside it is stale by the open unless it says what it is as of. The always-timestamped list is in evidence.md.


[Date] Morning Note, [Analyst] [Sector coverage] | Written [time]. Prices as of [time], [session].

Top Call: [the one thing the desk needs to hear]

  • Two or three sentences on the development and why it matters.
  • Stock impact: rating and target reiterated or changed.

Overnight and Pre-Market

  • [Company A]: what happened, with its source. Our take: the view.
  • [Company B]: what happened, with its source. Our take: the view.
  • [Sector or macro]: the development, and which names it reaches.

Priced In / Needs Proof

  • Priced in: [name], [what the move and the revisions already reflect].
  • Needs proof: [name], [the claim], [the print or date that would confirm it].

Today

  • [Time]: [Company] earnings call, [what to listen for].
  • [Time]: [data release], consensus against our read.
  • [Time]: conference or investor day.

Trade Ideas (when there is one)

  • [Long/Short] [Company]: thesis in two sentences, plus the catalyst and its date.
  • Risk: the observation that would make this wrong.

Fact and view stay in separate sentences. What happened carries its source; the take carries the view and is marked as one. This is the deliverable most likely to be forwarded, and the sentence quoted back has to be one that can be defended. A view welded into the same sentence as a fact reads as a fact to everyone downstream.

4. Quick take on a coverage print

MetricConsensusActualBeat/Miss
Revenue
EPS
[The metric the name trades on]
Guidance

Our take: two or three sentences on whether this is good or bad for the stock, and whether it changes the thesis rather than the quarter.

Action: the verb from the gated vocabulary in .agents/skills/research-conventions/references/judgment.md, with a rating word (maintain, upgrade, downgrade) beside it where a published rating exists, and what would change it.

5. Deliver

Save to $WORK_DIR/work/{task}/morning_note_YYYY-MM-DD.md, as markdown for email or chat distribution. The note carries one posture from the ladder in .agents/skills/research-conventions/SKILL.md, stated once beside the stamps at the top.

One page is the bar. Over it, cut in this order: the market recap the reader already saw on a screen, the second and third bullets on one name, the calendar entries with no view attached, and any trade idea with no dated catalyst. Depth bands and the general cut order: .agents/skills/research-conventions/references/depth.md.

Important notes

  • Be opinionated. A note that summarises without a view is a worse version of a headline feed.
  • Lead with the most important thing. The headline goes first, not third.
  • "Nothing material overnight, maintaining positioning" is a complete morning note, and a better one than three paragraphs of filler.
  • Separate the actionable (a print, a deal, a guidance change) from the noise (a small rating change, a non-event), and say which is which.
  • When yesterday's call was wrong, say so in today's note and say what you missed. Credibility outlasts any single call.

Frequently asked questions

What does the Morning Note AI skill do?

Daily research briefing on overnight news, pre-market movers, earnings and macro events. Triggers on morning note, morning meeting, what happened overnight, morning call prep, daily note, trade idea for the open.

Why use Morning Note on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Morning Note?

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 Morning Note?

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

Is the Morning Note AI skill free?

Yes. It is published on GitHub by ginlix-ai under the Apache-2.0 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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