Morning Note
rongxinzy/RongxinAI
Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks.
Daily research briefing on overnight news, pre-market movers, earnings and macro events.
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ginlix-ai/LangAlpha morning-note --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .claude/skills/morning-note && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .claude/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-noteType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ginlix-ai/LangAlpha morning-note --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .agents/skills/morning-note && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .agents/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ginlix-ai/LangAlpha morning-note --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .cursor/skills/morning-note && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .cursor/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ginlix-ai/LangAlpha.git --path plugins/langalpha_research/skills/morning-note--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ginlix-ai/LangAlpha morning-note --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .gemini/skills/morning-note && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .gemini/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ginlix-ai/LangAlpha morning-noteInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .github/skills/morning-note && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .github/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ginlix-ai/LangAlpha --skill morning-note -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ginlix-ai/LangAlpha morning-note --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/langalpha_research/skills/morning-note .opencode/skills/morning-note && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "morning-note" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_research/skills/morning-note into .opencode/skills/morning-note/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "morning-note", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
morning-noteDaily research briefing on overnight news, pre-market movers, earnings and macro events.
Morning Note is an agent skill from ginlix-ai/LangAlpha. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support, covering Sales call preparation and Note-taking. The repository describes itself as: Claude Code for Financial Market. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2855e43. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Morning Note loads about 1.7k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 1,006 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ginlix-ai/LangAlpha at commit 2855e43, republished under its Apache-2.0 licence (© ginlix-ai). 1,006 words, ~1,717 tokens.
.claude/skills/morning-note/SKILL.md (or your agent's skills folder).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.
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.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.
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:
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.
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]
Overnight and Pre-Market
Priced In / Needs Proof
Today
Trade Ideas (when there is one)
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.
| Metric | Consensus | Actual | Beat/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.
Save to {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.
© ginlix-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/langalpha_research/skills/morning-note of ginlix-ai/LangAlpha.
Open the folder on GitHubat commit 2855e43
Morning Note next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Morning Note this skillginlix-ai/LangAlpha | 1.8k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Morning Noterongxinzy/RongxinAI | 154 | 1 repos | ~754 | Automated safety check: Pass | AGPL-3.0 | |
| Luopan Company Researchzhangxiaoqiang1991/luopan | 389 | — | ~998 | Automated safety check: Pass | MIT | |
| Company Researchstophobia/deerflow2.0-enhanced | 822 | — | ~845 | Automated safety check: Pass | MIT | |
| Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills | 441 | — | ~922 | Automated safety check: Pass | None | |
| SdtStopDisTrain/sdt-skills | 309 | — | ~535 | Automated safety check: Pass | MIT |
rongxinzy/RongxinAI
Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks.
zhangxiaoqiang1991/luopan
罗盘的公司研究子模式。研究具体上市或非上市公司的财务增长、商业模式、 竞争生态位、治理与组织信号,并分别生成投资初筛和求职初筛。
stophobia/deerflow2.0-enhanced
综合企业背景调研技能,用于尽职调查、合作伙伴评估、投资分析、市场研究等场景。支持公司工商信息、财务数据、法律风险、舆情分析、竞品对比等多维度调研,自动生成Markdown和HTML格式的专业调研报告。触发条件:用户提及"企业调研"、"公司背景"、"尽职调查"、"合作伙伴评估"、"投资分析"、"市场研究"等关键词。
BrianRWagner/ai-marketing-claude-code-skills
Builds a pre-meeting brief from your Obsidian vault: participant research, past notes, open commitments, a prioritized agenda and sharp questions.
StopDisTrain/sdt-skills
SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。
extruct-ai/gtm-skills
Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and…
ginlix-ai/LangAlpha
Quality-checks an investment deck in .pptx form before it goes out: number consistency, chart and narrative alignment, source coverage, language and a circulation verdict.
ginlix-ai/LangAlpha
Produces a first-time equity research initiation report in five tasks: company research, financial model, valuation, charts and a DOCX report.
ginlix-ai/LangAlpha
Builds or repairs an integrated income statement, balance sheet and cash flow model in Excel with live formulas, supporting schedules, scenarios and a Checks sheet.
ginlix-ai/LangAlpha
Audits an existing Excel financial model without editing it, checking structure, formulas, integrity identities and source tie-out, and ends in a prioritized issue log.
ginlix-ai/LangAlpha
Builds a live Excel DCF valuation workbook with free cash flow projections, WACC, terminal value, three scenarios, sensitivity grids and a reverse DCF.
ginlix-ai/LangAlpha
Builds Word files with python-docx, edits existing ones in place with tracked changes and comments, then renders and validates the result.
Categories
Daily research briefing on overnight news, pre-market movers, earnings and macro events. Morning Note is an agent skill from ginlix-ai/LangAlpha. Daily research briefing on overnight news, pre-market movers, earnings and macro events.
Morning Note fits situations like: morning meeting; what happened overnight; morning call prep; trade idea for the open.
Run `npx skills add ginlix-ai/LangAlpha --skill morning-note -a claude-code`. Or copy the skill folder (plugins/langalpha_research/skills/morning-note in ginlix-ai/LangAlpha) into .claude/skills/morning-note in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ginlix-ai/LangAlpha --skill morning-note -a codex`. Or copy the skill folder (plugins/langalpha_research/skills/morning-note in ginlix-ai/LangAlpha) into .agents/skills/morning-note in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ginlix-ai/LangAlpha --skill morning-note -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/morning-note, .gemini/skills/morning-note, .github/skills/morning-note and .opencode/skills/morning-note in your project.
SKILL.md names no scripts, command-line tools or credentials: Morning Note is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Morning Note is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Morning Note: Morning Note (rongxinzy/RongxinAI, 154 stars), Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 822 stars) and Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 441 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ginlix-ai (a GitHub organization) maintains it in ginlix-ai/LangAlpha, which has 1,811 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.
Source: ginlix-ai/LangAlpha on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.