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LLMQuant Strategies | DecimalAI

financeby llmquant

LLMQuant Strategies

llmquant/llmquant-strategies

Source llmquant/skills ↗License MIT

Router skill for LLMQuant hedge-fund and PM strategy workflows.

SkillScore71Maintained

Automatic

Finance & Accounting pack

Last verified 9/27/2026

What it changes

Passed 16 of 23 test cases with the skill, and 6 of 23 without it.

Without skill25%

With skill71%

Checks it passed that the model alone missed

Uses LLMQuant Data for macro indicators.
Reports as-of dates for market data inputs.
Reports as-of dates for option context data.

and 15 more in the full report

11 fixed6 passed either way7 still failing0 broke

Pass-rate lift: +46 pp
Tokens: -19%
Agent turns: 0%
Response time: -30%

Model gemini-3.6-flashMeasured 9/27/2026v117 of 24 cases passed with skill · 23 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/llmquant-llmquant-strategies/SKILL.md https://app.decimal.ai/s/llmquant-llmquant-strategies/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add llmquant-llmquant-strategies, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/llmquant-llmquant-strategies/ and pins it in .decimal/skills.lock

decimalai skills add llmquant-llmquant-strategies

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/llmquant-llmquant-strategies/SKILL.md https://app.decimal.ai/s/llmquant-llmquant-strategies/SKILL.md

Raw file: /s/llmquant-llmquant-strategies/SKILL.md ↗ · machine-readable summary at /s/llmquant-llmquant-strategies.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

An executive committee needs to set up capital allocation rules across five independent alpha pods with distinct Sharpe targets under a unified firm-wide risk budget. Which workflow handles this setup?

What was checked, without and with the skill
Checked	Without skill	With skill
Selects `workflows/multi-strategy.md` as the strategy workflow.	Missed	Passed
Captures sizing constraints.	Passed	Passed

case-16 · gemini-3.6-flash · 9/27/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md32 lines3 filesincludes scripts

LLMQuant Strategies

This category routes hedge-fund and portfolio-manager strategy playbooks.

Routing Rules

Identify strategy type, universe, mandate, horizon, benchmark, and risk budget.
Select the closest workflow below.
Open only the selected workflow and local resources explicitly referenced by that workflow.
Use LLMQuant Data for market, macro, filings, holdings, factor, event, options, and risk inputs.
Report data windows, as-of dates, stale notices, and unsupported coverage.

Workflow Index

User intent	Workflow
Fundamental paired-book construction and factor-aware hedging.	`workflows/equity-long-short.md`
Concentrated long-biased ownership with structural hedges.	`workflows/long-biased.md`
Merger arb, spin-offs, activism, restructurings, and special situations.	`workflows/event-driven.md`
Cross-asset macro regime trading.	`workflows/macro.md`
Systematic strategy research, backtesting, overfitting control, and execution discipline.	`workflows/quant.md`
Pod-style capital allocation and unified risk budgeting.	`workflows/multi-strategy.md`

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

Retrieve prices, fundamentals, filings, macro indicators, options context, ETF holdings, factor exposures, event feeds, borrow context, and backtest inputs.
Capture strategy mandate, universe, benchmark, time horizon, risk budget, liquidity, and sizing constraints.
Report data windows, as-of dates, stale notices, unsupported coverage, and assumptions.

Fallback:

If a strategy workflow needs unavailable factor, borrow, event, or backtest data, name the missing input and continue only with retrieved or user-provided evidence.

Track record

Benchmark

16 / 23

test cases passed, vs 6 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 8/27/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

llmquant / skills

skills/llmquant-strategies/SKILL.md

View on GitHub ↗

License MITImported 8/27/2026Version v1Bundled 2 files · scripts

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

LLMQuant Strategies

Routing Rules

Workflow Index

LLMQuant Data Contract

Track record

Benchmark

Adoption

SkillSafety

Source

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