iFurySt/aifi

💰 AIFi (AI Finance) is an agent-first workspace for compounding investment research and insight.

This repository also configures its own agents. See what aifi tells them →

25Stars on the repository
18Mods indexed here, across every type
todayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

aifi-daily-report

01

iFurySt/aifi

Skill Claude CodeCodex

A tool for producing a Chinese end-of-day report on United States stock markets as a self-contained HTML file. HTML is the standard format used to display web pages.

not rated 25 +2 today A 123 tokens original MIT

chart-visualization

02

iFurySt/aifi

Skill Codex

Create analytical charts, data visualizations, diagrams, dashboards, and Sankey or flow visuals from research data. Use when a task asks to draw, plot, graph, visualize, chart, compare, summarize data visually, build an analysis figure, create an interactive chart, or choose the right visualization method.

not rated 25 +2 today A 66 tokens original MIT

iFurySt/aifi

Skill Codex

Collect, read, and summarize company filings and formal disclosures for investment research. Use for SEC filings, annual reports, 10-K, 10-Q, 8-K, proxies, risk factors, management discussion, regulatory notices, and disclosure-change analysis.

not rated 25 +2 today A 57 tokens original MIT

iFurySt/aifi

Skill Codex

Collect and analyze recent company news, press releases, media narratives, executive changes, product updates, regulatory events, and dated catalysts for an investment target. Use for information-side or news-side research such as "what happened recently with Intel" before thesis synthesis.

not rated 25 +2 today A 56 tokens original MIT

iFurySt/aifi

Skill Codex

Orchestrate a full AIFi company research workflow from a user request such as "understand Intel recently" into target resolution, evidence archiving, news, filings, earnings, financials, market signals, competitive landscape, and investment thesis synthesis. Use when multiple AIFi research skills must be combined into…

not rated 25 +2 today A 74 tokens original MIT

iFurySt/aifi

Skill Codex

Analyze a company's competitive landscape, peer set, industry structure, product positioning, customer overlap, margin differences, strategic advantages, and substitution risks. Use for peer comparison and sector context in AIFi investment research, especially when a target like Intel must be compared with AMD…

not rated 25 +2 today A 72 tokens original MIT

iFurySt/aifi

Skill Codex

Analyze earnings releases, earnings-call transcripts, management commentary, analyst Q&A, guidance changes, and language shifts for investment research. Use when the user asks about quarterly results, management tone, guidance, or what changed in the latest earnings call.

not rated 25 +2 today A 53 tokens original MIT

iFurySt/aifi

Skill Codex

Build a sourced financial snapshot for an investment target, covering revenue, margins, cash flow, balance sheet, valuation, guidance, revisions, and trend quality. Use when analyzing financial statements, earnings metrics, valuation multiples, or whether company fundamentals are improving or deteriorating.

not rated 25 +2 today A 58 tokens original MIT

iFurySt/aifi

Skill Codex

Investigate downside risks and thesis-breaking evidence for an investment target. Use for accounting quality, governance, legal or regulatory exposure, financing risk, customer concentration, cyclicality, dilution, operational execution, geopolitical risk, and risk-register updates before thesis synthesis.

not rated 25 +2 today A 56 tokens original MIT

iFurySt/aifi

Skill Codex

Synthesize archived AIFi evidence into an investment thesis, risk register, bull/base/bear scenarios, open questions, watch items, and decision frame. Use after collecting filings, news, earnings, financials, market signals, and competitive context for a target.

not rated 25 +2 today A 59 tokens original MIT

iFurySt/aifi

Skill Codex

Analyze market-side signals for an investment target, including price action, relative performance, volume, volatility, valuation multiples, short interest, options activity, and event reactions. Use when the user asks how the market is treating a stock or whether recent news is already reflected in price.

not rated 25 +2 today A 60 tokens original MIT

iFurySt/aifi

Skill Codex

Review how an investment target or watchlist idea fits within a portfolio, including position sizing context, concentration, factor and sector exposure, liquidity, correlation, drawdown contribution, risk budget, and rebalance watch items. Use when the user asks whether to size, add, trim, hold, or monitor an idea in…

not rated 25 +2 today A 71 tokens original MIT

iFurySt/aifi

Skill Codex

Create and maintain persistent AIFi research archives in the current repository. Use when collecting, saving, deduplicating, citing, or reusing source materials such as markdown notes, filings, PDFs, images, transcripts, charts, datasets, and generated research artifacts under research/.

not rated 25 +2 today A 61 tokens original MIT

iFurySt/aifi

Skill Codex

Resolve an investment research target into canonical identifiers and initial context. Use when a user names a company, ticker, sector theme, watchlist item, or ambiguous phrase such as Intel, INTC, Apple, chip stocks, or AI infrastructure before running AIFi research workflows.

not rated 25 +2 today A 60 tokens original MIT

resend-email-cli

15

iFurySt/aifi

Skill Codex

Send transactional or operational emails for AIFi through the authenticated Resend CLI. Use when the user asks to send, draft-and-send, test, schedule, or verify email delivery from the AIFi sender address [email protected] using Resend.

not rated 25 +2 today A 58 tokens original MIT

iFurySt/aifi

Skill Codex

Build valuation scenarios for an investment target using sourced financial drivers, peer context, and explicit assumptions. Use when the user asks about intrinsic value, target price range, upside/downside, margin of safety, DCF, multiples, sum-of-the-parts, or whether expectations are already priced in.

not rated 25 +2 today A 64 tokens original MIT

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