llmquant-equities
Skill3 starsChanged 33 days agoMITView on GitHub
This category routes equity research, comparison, valuation, catalyst, and sell-discipline workflows. Prefer LLMQuant Data when available. The workflows may need these data capabilities: - Retrieve equity prices, returns, market cap, volume, technical indicators, and realized volatility. - Retrieve company fundamentals, estimates, valuation multiples, peer context, and corporate events. - Read SEC filings and specific filing sections for business, MD&A, risks, and catalysts. - Retrieve institutional ownership, top holders, manager concentration, and 13F sponsorship context. Fallback: - If fundamentals, estimates, or…
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Use LLMQuant Data for filings, prices, fundamentals, ownership, macro, estimates, and events.
- Distinctive: line 38
Prefer LLMQuant Data when available.
- Distinctive: line 41
Read SEC filings and specific filing sections for business, MD&A, risks, and catalysts.
- Distinctive: line 45
If fundamentals, estimates, or event feeds are unavailable, name the missing input and continue only with retrieved or user-provided …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!--
Imported from: https://github.com/LLMQuant/skills
Source Path: skills/llmquant-equities/SKILL.md
Curated for awesome-quant-skills
-->name: llmquant-equities description: Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos, merger-arb memos, or sell/take-profit work. input_data_source: LLMQuant Data category: equities
LLMQuant Equities
This category routes equity research, comparison, valuation, catalyst, and sell-discipline workflows.
Routing Rules
- Identify ticker(s), investment horizon, benchmark, and requested deliverable.
- Select the closest workflow below.
- Open only the selected workflow and needed local resources.
- Use LLMQuant Data for filings, prices, fundamentals, ownership, macro, estimates, and events.
- Report data periods, filing dates, observation dates, stale notices, and missing future inputs.
Workflow Index
| User intent | Workflow |
| Score a stock across fundamentals, valuation, technicals, sentiment, and flow. | workflows/five-lens-stock-analysis.md |
| Compare 2-5 stocks or ETFs side by side. | workflows/equity-compare.md |
| Build a full equity research memo. | workflows/equity-research-memo.md |
| Build a catalyst-bound merger-arbitrage memo. | workflows/merger-arb-memo.md |
| Analyze hold versus systematic profit-taking rules. | workflows/take-profit-lab.md |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve equity prices, returns, market cap, volume, technical indicators, and realized volatility.
- Retrieve company fundamentals, estimates, valuation multiples, peer context, and corporate events.
- Read SEC filings and specific filing sections for business, MD&A, risks, and catalysts.
- Retrieve institutional ownership, top holders, manager concentration, and 13F sponsorship context.
Fallback:
- If fundamentals, estimates, or event feeds are unavailable, name the missing input and continue only with retrieved or user-provided evidence.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

