Research & Data

Work with myFund.pl API v1 — retrieve portfolios and holdings, analyze history, and import transactions, cash flows, and PPK files. Use for myFund.pl integrations or tasks involving data from this API.

Analyze or review a stock portfolio or watchlist with Zacks data, covering return attribution, sector mix, a comparison with SPY and QQQ, and Zacks' view on the largest holdings. Use when the user asks to analyze, review, grade or report on a portfolio, holdings or watchlist.

Find hidden open-source GitHub repos (MCP servers, skills, subagents, hooks, plugins, libraries) that would make the current task's result better, and security-check them before use. Use when starting a substantial task (build an app, website, video pipeline, scraper, automation, data analysis, etc.), when a <repo-radar> block appears in context, or when the user asks "is there a repo/tool/MCP for X".

Track GST/HST for Canadian freelancers and sole proprietors from a JSON/CSV ledger — per-calendar-quarter GST/HST collected, ITCs, and net tax owing (collected − ITCs) with a T2125-style prep section, the small-supplier alarm (rolling last-4-calendar-quarters taxable income vs the $30,000 registration threshold with exact headroom), and a per-province view (tax system, collected, ITCs, net per province; recorded QST memo figures; PST/RST exposure estimates). Use when preparing GST/HST figures, checking ITCs, monitoring the registration threshold, or seeing place-of-supply exposure province by province. A tracking aid, NOT tax advice and NOT a CRA filing; rates are Nov-2026 defaults, overridable — never present them as live fact.

Native bull/bear/PM debate engine for evaluating a stock (or basket) and producing a decision-grade verdict — the deterministic, Opus-run replacement for the external TradingAgents framework (which is credit-gated). TRIGGER when the user wants a buy/sell/hold call, a "debate this stock", a "what do you think of TICKER", a bull-vs-bear, a valuation sanity-check, to (re)evaluate a SaaS/software name, to re-run a name after earnings, or to refresh/update the Stock Pool hub. Built for software/SaaS but works on any equity. Do NOT trigger for pure data lookups or portfolio rebalancing (use /rebalance).

Select, formulate, implement, compare, or audit portfolio optimization models including MVO, GMV, Black-Litterman, CVaR, CDaR, risk budgeting, HRP, Kelly, robust covariance/mean MVO and Wasserstein DRO. Use for asset allocation, estimation-error control, stress testing, risk decomposition, and point-in-time backtesting.

- Start by naming the job type in one line, such as niche research, competitor research, video analysis, content package or own channel analytics.

Pre-release compliance gate for US digital health software using a two-axis model (legal scope x technical component). Covers what a HIPAA-only review misses - FTC Health Breach Notification Rule, state consumer health data laws, 42 CFR Part 2, ONC information blocking, FDA software rules, tracking pixels, mobile data handling, and AI/LLM data flows. Use when asked to review, audit, gate, or approve a healthcare backend, web app, mobile app, AI feature, or integration before release, or to profi

Turn any research topic, in any field, into a colorful PDF lecture survey of recent papers with figures, research gaps and a table of Q1 paper ideas.

Conducts rigorous entrepreneurial research, validates business and product ideas, investigates real customer demand, competitors, search trends, SEO, marketing, domains, feasibility, monetization and growth, then produces an evidence-audited professional PDF report. Use when evaluating an idea, product, startup, business model, market, technology, brand, domain, go-to-market strategy, or major decision.

Audit how a frontend app talks to its backend and produce a ranked, evidence-backed report of request amplification with concrete fixes - per-row N+1 reads, duplicate fetches, stacked poll timers, zero freshness, blanket invalidation, serial waterfalls, fetch-everything pagination, over-fetching, retry waste. Use this whenever someone asks why an app makes too many requests, wants a network / request / data-fetching / API-call audit, mentions N+1, waterfalls, polling, refetch storms, rate limits

Contrôle de sécurité, RGPD, vente, SEO et qualité avant de publier un site, une boutique, une app ou un SaaS. À utiliser avant toute mise en ligne ou nouvelle version publique.

Picks the right metrics for a business and explains any metric. Builds a metric pyramid (business goals → unit economics → loyalty → value → quality → traffic sources) with one North Star Metric and its four inputs, industry benchmarks for 31 industries, the three metrics to start with this week and the vanity metrics to skip, and can render it as a page with a PDF for the team. Use whenever the user asks which metrics or KPIs to track, how to measure a business or product, wants a metrics system or dashboard plan, a North Star / NSM, unit economics, LTV, CAC, C1, retention, ARPU, churn, benchmarks or norms for an industry, or asks what a metric means or how to calculate it — e.g. «какие метрики считать», «пирамида метрик», «главная метрика продукта», «что такое C1», «как посчитать LTV», «бенчмарки для кофейни», «на что смотреть каждую неделю». Answers in Russian by default, money in tenge (₸).

Validate a product or startup idea end to end and return a research-backed landscape report covering prior art, adjacent incumbents, the graveyard of failed attempts, buyer economics, and the commodity floor. Use this whenever the user asks whether an idea already exists, whether an idea is taken, whether an idea will work, whether anyone has built something, or asks for competitive, prior-art, or market landscape research on something they are thinking of building. Trigger even if they phrase it casually ("has anyone done X", "is this a thing", "am I crazy or is there a market for X") and even if they only describe the idea without asking a question.

Build a chat agent that knows one industry in one metro better than any general model because it carries a precomputed digest of real public records (or a mined review corpus) and can pull live records mid-conversation — finding the moat, building a byte-stable substrate, enumerating what the records can't, the data traps that produce plausible wrong numbers, deterministic math in tools, measured prompt cost and cache TTL, shipping as an ad destination, an off-sector ending, and a precomputed spatial "what is this next to" layer. Use when building a vertical AI agent grounded in records rather than general knowledge.

Apply Warren Buffett's investment framework as a discipline lens when weighing a buy, hold, or sell decision — circle of competence, economic moat, owner earnings & intrinsic value, margin of safety, management/capital-allocation quality, and market psychology (Mr. Market, fear vs greed, temperament). Use when asked to "run this through Buffett", "what would Buffett say", "does this pass the moat test", "is this cheap enough", or for a second, more skeptical read on a name being evaluated or already held. This is a discipline overlay, not a replacement for a strategy — it applies the Buffett lens to how someone actually invests, rather than issuing generic advice.

Family history and genealogy research done like a trained historian. Use when the user works on ancestry, a family tree, a family archive, old photos or letters of relatives, or searches for a person in archives, church books (Kirchenbücher), civil registers (Standesamt, état civil), newspapers, address books, military or prisoner records, emigration lists, or Nazi-era records of ancestors (NSDAP card file, Wehrmacht, persecution). Works in German and English, with deep coverage of German, Central and Eastern European sources and solid international coverage. Enforces source criticism, citations for every claim, explicit confidence levels, documented negative results, privacy of living people and careful handling of the Nazi era.

Acoustic fly-over geolocation: locate where an audio or video recording was made from the near-inaudible Doppler curves of propeller aircraft and helicopters in the background, matched against historical ADS-B tracks (about 100 m in good conditions), with an honest uncertainty region. Also covers thunder plus lightning-data localisation and a pre-publication acoustic privacy self-audit. Use this skill whenever the user wants to locate, verify or time a video, recording, livestream or call from its sound, background noise, aircraft noise, Doppler shift, spectrogram, ADS-B data or thunder; mentions acoustic geolocation, audio OSINT, "where was this recorded", verifying a video's location by sound, or colsto's method; or wants to check whether their own video leaks its location through sound, even if they never say Doppler or ADS-B. For OSINT verification, journalism, CTFs, research and self-audits; ships a tested Python pipeline.

Get a specific record out of a US government office by public-records request — "request the assessor's model", "file a data practices request", "FOIA this", "open records request", "can we just ask the county for it", "who do I write to at <county>", "chase that request", "did they ever answer". Covers checking the website first, finding the right office and statute, the carve-out paragraph that makes a request answerable instead of refused, web-form traps (hidden character caps, WAFs that reject apostrophes), chasing (there is usually no deadline), whether what comes back may be republished, and parsing multi-year tables without silent errors.

Use for any \"research and plan X\" request. Triages source access first, plans only from what was actually read, and writes plan.md plus a categorized, topic-named sources file. Re-run after downloads to update.

Audits any research output (plan, report, lit review, draft) for fabricated references, claims a source doesn't support, abstract-only claims and unbounded \"no one has studied X\" claims. Run it before delivering research.

Finds sources on a topic and classifies each one before anything is read: legal access, which route an AI agent can actually read, integrity, and grade. Writes a ledger the other research skills use.

Assembles a complete LinkedIn outbound campaign brief into campaign-NAME.md - segment, signal stack, list-building steps in Apollo and Sales Navigator, the opener and follow-up sequence, LinkedIn tool setup notes (SalesRobot or similar) with safe daily limits and warm-up, metrics with targets, and a 14-day plan. Use when the user says "build a campaign", "plan my outbound", "set up a LinkedIn campaign", "campaign brief" or "launch a campaign for a segment".

Evidence-driven application security audit and hardening for repositories you own or are authorized to assess. Detects the stack, inventories the attack surface, runs SAST/SCA/secrets/IaC/supply-chain checks (built-in rules plus Semgrep, Gitleaks, Trivy, OSV-Scanner and others when installed), performs threat modeling and manual secure-code review against OWASP Top 10, API Top 10 and ASVS, validates findings safely, and writes Markdown, JSON and SARIF reports with a remediation roadmap. Use when