A searchable catalog of reusable skills across Finance, Trading, Legal and Marketing — contribute your own, keep it private or share it public.
Abstract contracts into structured, page-cited records covering parties, term, change-of-control, termination and risk flags.
Audit a deal data room against a standard diligence checklist and surface missing, stale, or inconsistent items as a traffic-light gap report.
Review environmental, social and governance exposures from the materials provided and score the top issues with an overall ESG rating.
Turn seller-provided financials into a clean, add-back-adjusted LTM EBITDA with a transparent reported-to-normalized bridge.
Review legal and regulatory diligence — corporate records, litigation, licensing and change-of-control — into a jurisdiction-specific risk assessment.
Review operational diligence and quality-of-earnings to surface operational gaps and build a 100-day post-close plan.
Build and maintain a structured single-family-office relationship profile — principals, advisers, jurisdictions, asset mix and pain points.
Produce a family-office × service coverage matrix to surface white space and concentration across the whole book.
Produce a full investment-committee memo from a deal's data, with a standard section structure and every quantitative claim tied to a source.
Write a professional quarterly LP letter covering fund metrics, deployment, portfolio performance, outlook, and capital activity from fund data provided.
Assess a company's readiness for a public listing across financials, governance, equity story and process — with a gap list and timeline.
Review a draft investor press release against securities disclosure rules and return a compliance verdict with specific required edits.
Plan the distribution of a finalized investor press release across wire services, exchange notifications, media, owned channels and timing.
Assess whether an event, news item or rumor is material enough to require disclosure, and recommend urgency, channel and next steps.
Turn an approved draft press release into a wire-ready, exchange-formatted publication package with a pre-publish checklist.
Draft a publication-ready corporate press release from a topic and supplied facts, with placeholders for anything that cannot be verified.
Generate explainable service-gap and cross-sell recommendations for a family-office relationship, with every recommendation traceable to a rule.
Draft a concise, personalized deal-sourcing email that weaves in specific financials and a clear ask, tailored to founder, broker, or intermediary.
Rank LP prospects by mandate fit, staleness, and commitment size, then draft the next personalized outreach for the strongest targets.
Plan and draft a five-touch email sequence with rotating copywriting frameworks for deal sourcing or LP fundraising, each touch adding new value.
Roll up next-action urgency across the investor-outreach funnel and surface the consultation calendar so nothing goes cold.
Draft tailored proposal text for a family-office service recommendation, grounded in the relationship profile and the specific gap being addressed.
Design deal structure and bid tactics — consideration mix, earnouts, escrow, risk allocation, and a competitive bid ladder.
Identify and prioritize strategic and financial buyers for a sell-side process, with mandate fit and first-round outreach targets.
Produce a clean, decision-ready company profile covering business model, key financials, sector multiples, signals, and the M&A angle.
Draft advisor-grade, human-approved outreach to corporate development and M&A contacts, with a concrete synergy hook and a follow-up cadence.
Build a five-year discounted cash flow valuation with explicit assumptions, a WACC bridge, an equity bridge, and a sensitivity grid.
Score the synergy fit between a specific buyer and target across five weighted dimensions, producing a composite score and a clear recommendation.
Create a concise two-page investment teaser for co-investor or LP distribution, with an option to blind names.
Build a post-close integration plan with a day-one checklist, 30-60-90-day milestones by workstream, synergy tracking, and governance.
Draft a clear, non-binding letter of intent for an acquisition, with valuation, structure, conditions, and exclusivity.
Build and prioritise a buyer/acquirer long list for a sell-side M&A mandate, with fit rationale and outreach angle for each name.
Shape the equity story and CIM narrative for a sell-side mandate — value drivers, growth thesis and defensible positioning.
Score buyer-target compatibility across seven weighted synergy dimensions to produce a composite score and a clear buy/pass recommendation.
Apply trading and precedent-transaction multiples to derive an EV range, with an implied-EV table, equity bridge, and a defensible headline range.
Analyze reverse mergers, RTOs, CPC qualifying transactions, and SPAC/de-SPAC combinations, anchored in filings and distinguishing facts from open items.
Quantify revenue and cost synergies between a buyer and target, with timelines, costs to achieve, NPV, and the post-synergy effective multiple.
Find acquisition targets that match a buyer's mandate, ranked by fit, with transparent size and ownership evidence and next diligence steps.
Build an asset-based borrowing base by collateral pool and return eligible collateral, advance rates, reserves, availability and overadvance.
Classify each covenant, compute actual-versus-threshold headroom, project the first breach, and recommend lender action.
Draft an investment-committee-ready lender credit memo with recommendation, structure, risk analysis, covenants and monitoring plan.
Screen a private-credit opportunity for mandate fit, coverage, structure and key risks, returning a pursue/review/decline decision.
Evaluate a private-credit portfolio for weighted yield, expected loss, concentration breaches and rebalancing suggestions.
Monitor a private-credit book against budget and underwriting case, producing a prioritized watchlist with triggers and actions.
Build contractual lender cash flows and pricing for a debt facility, returning the schedule, lender yield/IRR and sensitivities.
Size a leveraged capital structure across senior, unitranche, mezzanine, seller note and revolver, with leverage, coverage and refinance sensitivity.
Score obligor default risk and facility loss severity, returning an internal grade, PD, LGD, EAD, expected loss and the key drivers.
Extract credit-document terms into a structured table with citations, flagging exceptions, ambiguities and gaps against the approved term sheet.
Underwrite a property-backed or direct-lending private-credit deal — LTV, coverage, security, covenants and a risk-adjusted pricing view.
Value a private-debt instrument on a market-participant DCF basis with a mark bridge and sensitivities to yield, PD and recovery.
Model going-concern and liquidation recoveries by tranche, identify the fulcrum security, and report LGD under base, downside and severe cases.
Build a 13-week liquidity view and compare workout paths on probability- and time-adjusted recovery, cash needs, consents and risks.
Deliver a fast Go / No-Go / Dig-deeper verdict on a deal, backed by concrete evidence on valuation, quality, and risk.
Build a five-year base-case leveraged buyout model with editable assumptions, a returns summary, and a sensitivity grid.
Surface and rank deal opportunities that match a fund mandate across check size, sector, geography, and deal type.
Score companies by their likelihood of a sale in the next twelve months and rank the best targets for outreach.
Screen a private-equity opportunity against a fund's mandate and return a structured go/no-go with the key diligence questions to pursue.
Compute levered and unlevered IRR, MOIC, and equity multiple, then decompose returns into a value-creation bridge.
Map national or standard industry-classification codes to a firm's internal sector and sub-sector taxonomy and to named business verticals for screening.
Build a tight, defensible set of transaction and trading comparables to benchmark EV/EBITDA and EV/Revenue multiples.
Run structured research on a company, sector or theme from the sources provided and synthesize findings with citations.
Search, summarize and extract structured data from SEC EDGAR filings the user provides, with citations back to the source filing.
Analyze institutional ownership from SEC Form 13F filings the user supplies to explain fund positions, concentration and activist stakes.
Analyze corporate press releases the user provides to extract material information, classify event types and assess likely market impact.
Rank capital projects across a property or portfolio by return and urgency, flagging projects that compete for the same crew or capital budget.
Surface environmental exposures on a property that could affect value, financeability or exit, sorted by severity with next-step recommendations.
Read lease documents and produce structured lease abstracts with key economic and legal terms, page-level citations and red-flag callouts.
Surface material operating-expense variances against budget or prior period and infer the likely driver of each, prioritized by size.
Read property condition and inspection reports to build a prioritized deferred-maintenance and improvement plan with cost and timing estimates.
Recommend a staged rent plan for renewals and new leases by identifying under-priced units against market, with estimated income impact and churn risk.
Turn a raw rent roll into a clean occupancy and income snapshot with unit-level detail, lease status and red flags.
Score each tenant's renewal likelihood from lease economics and tenure, then prioritize retention outreach for the highest-risk tenants.
Review title, zoning and land-use records for a property to surface encumbrances, entitlement gaps and material exposures before closing.
Track legal-entity filing obligations, deadlines and FATCA/CRS/W-8 readiness across multiple jurisdictions for a family-office structure.
Citation-aware tax-law Q&A with provenance over ingested forms, legislation and treaties (RAG) — every answer cites its source.
Model a venture financing round — pre/post-money, option pool, SAFE conversions and founder/investor dilution across the cap table.
EU AI Act Quick Assessment — fast 15-25 minute triage for preliminary classification and compliance assessment.
Apply the NIST AI Risk Management Framework (NIST AI 100-1 + the NIST AI 600-1 Generative AI Profile) to a specific AI system, governance question, or impact assessment.
Use when the user has a contract loaded and asks a specific question about it — what a clause means, where something is addressed, whether a term is unusual, how a provision compares to standard pract…
Use when the user uploads or pastes a Master Purchase Agreement, Master Supply Agreement, Master Goods Agreement, or commercial purchase MSA covering the procurement of physical goods, equipment, comp…
Use when the user uploads or pastes a Software-as-a-Service Master Services Agreement (MSA), Master Subscription Agreement, SaaS Agreement, or Cloud Services Agreement and asks for review, redline, ri…
Use when reviewing one-way (unilateral) commercial NDAs, analyzing key clauses for risk, producing clause-by-clause issue logs with preferred redlines, fallbacks, and negotiation guidance.
Use when you need to generate tracked changes in Word documents from diff output, apply redlines from AI agents to DOCX files, or convert text diffs into native Word revisions.
Use when you need to apply tracked changes and comments to DOCX files programmatically, merge multi-agent edits with conflict resolution, or produce native Word revisions from AI agent output.
Use when you need to batch redline multiple contracts against a negotiation playbook, apply tracked changes to Word documents programmatically, or run contract review workflows with AI assistance.
Use when users say "Companies House search", "investigate this UK company", "check officers/PSCs/charges", "registry snapshot", "group structure", "filing history", or need UK company profile, filings…
Use when reviewing board-level governance documents — Delegation of Authority policies, charters, board resolutions, related party transaction policies, or committee terms of reference.
Use when benchmarking a board-level governance document against the LQ Governance Playbook — a Delegation of Authority policy, committee charter, related party transaction framework, or board terms of…
Use when the user provides a client alert, regulatory bulletin, law firm memo, or similar legal update and wants the time-sensitive action items, deadlines, and obligations extracted into a checklist…
Adversarial quality control for AI deliverables. Run structured parallel verification using one or two models before delivering reports, plans, analyses, scripts, or any substantive work.
Use when users say "collate comments", "combine reviewer markups", "compile tracked changes", "make a resolution checklist", or have multiple DOCX drafts, Word comments, redlines, partner/client marku…
Use when the user has a piece of legal-jargon-heavy text and wants it rewritten in plain language for a specified non-legal audience.
Use when the user has typed a short or vague prompt and the system is configured to expand prompts before submission, or when the user explicitly invokes "Enhance Prompt" or asks the system to "improv…
Use when you need to apply word-level tracked changes to Microsoft Word documents programmatically, preserve formatting through diffs, or integrate with Office.js for document transformation.
Use when users say "does this authority support the point", "check propositions", "fact-check this argument", "verify record support", or need cited cases, statutes, exhibits, transcripts, emails, or…
Use when the user wants to create a new LQ.AI skill, turn a chat into a reusable skill, improve an existing skill, or asks "how do I build a skill that does X." Conducts a focused conversation to elic…
Use when you need to identify the likely source of a text passage, attribute text to documents in a RAG system, detect plagiarism, or match contract clauses to their origin.
Use when auditing open-source dependency licenses in Python projects, generating compliance reports, or checking license risk in your codebase.
Use when checking statutory citations in Singapore legal documents, verifying references against Singapore statutes, or auditing Word documents for citation accuracy.
Document assembly tool. Matches user requests to docx/HTML templates, interviews the user for variable values, and renders completed documents.
Structured workflow for researching foreign law questions across Chinese, English, and local-language resources.
Expert-level legal document translation — understands law, not just language. Use whenever a user wants to translate any legal document or legal text between any languages.
Use when users say "is this legal AI app local-first", "what leaves the machine", "BYOK privacy", "audit network calls", "where are documents stored", or need a legal AI workspace reviewed for local s…
Use when verifying Singapore court citations in legal submissions, checking for hallucinated cases in AI-generated text, or validating citations against eLitigation.
First-pass framework for reading, interpreting, and structuring statutory analysis of US federal, state, and local law. Produces draft analysis for attorney review — not legal advice.
Use when users say "verify these UK citations", "check this skeleton for hallucinated cases", "BAILII/FCL check", "is this EWCA citation real", or need UK authorities, paragraph references, case names…
Use when users say "build a chronology", "make a timeline", "what happened when", "chronology from disclosure", "source the key events", or need legal documents, correspondence, pleadings, witness evi…
Use when running structured, adversarial analysis across large case-file directories — extracts facts, claims, and legal views into XML metadata via a stateless R.A.L.P.H.
Classifies the treatment of Competition Compliance Programmes (CCPs) in competition law enforcement documents.
Use when users say "model claim economics", "litigation funding waterfall", "portfolio economics", "funder MOIC", "DBA/CFA economics", "Monte Carlo", "ATE/adverse costs", or need legal claim recoverie…
Use whenever the user is working on document production in international arbitration: drafting requests to produce, raising or replying to objections, or preparing the schedule for the tribunal to rul…
Use when users say "check this Court of Appeal skeleton", "judicial preference check", "CoA style", "is this too factual", "commercial vs black letter", or need England and Wales appellate drafts test…
Use when users say "review this disclosure list", "QC disclosure", "check privilege descriptions", "inspection objections", "missing custodians", "adverse documents", or need England and Wales disclos…
Use when users say "review these Particulars of Claim", "check this PoC", "pleading gaps", "CPR 16", "PD16", "limitation issue", or need England and Wales pleadings checked for elements, material fact…
Use when users say "review this witness statement", "check this statement before service", "PD 57AC", "statement of truth", "hearsay in this witness evidence", or need England and Wales witness eviden…
Use this skill when the user needs to review, draft, or redline a Data Processing Agreement (DPA / Auftragsverarbeitungsvertrag / AVV) under Art.
Use when the user provides a Data Processing Agreement, Data Processing Addendum, or HIPAA Business Associate Agreement and asks whether it contains the terms required under the applicable data-protec…
Draft GDPR/DSGVO-compliant privacy notices as .docx for any EU/EEA jurisdiction and audience.
Cross-jurisdictional analysis engine for the US state consumer privacy law patchwork (CCPA/CPRA, VCDPA, CPA, CTDPA, UCPA, TDPSA, OCPA, FDBR, MCDPA, ICDPA, INCDPA, TIPA, DPDPA, NJDPA, NHDPA, NDPA, KCDP…
Use when the user has a vendor's published privacy policy (URL, PDF, or pasted text) and wants a fast triage assessment to decide whether deeper diligence is warranted.
HTS classification, CROSS ruling research, CIT/CAFC case mapping for US trade law. Analyzes products, finds applicable rulings, and traces legal precedent.
NIS2 Compliance Navigator — scope classification, Art. 21 gap analysis (0-4 maturity scoring), and compliance roadmap under EU Directive 2022/2555 with deep German BSIG-neu coverage and profiles for I…
California property tax research workflow using BOE Property Tax Rules (especially 462.* change in ownership, including 462.180 legal entities) and BOE published Property Tax Annotations (PTLG, common…
When the user wants to set up, improve, or audit analytics tracking and measurement.
When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools.
When the user wants to plan, run, sponsor, speak at, or get pipeline from events — webinars, conferences, trade shows, meetups, dinners, workshops, virtual summits, or user conferences.
When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests).
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit,…
When the user wants to run influencer, creator, or ambassador partnerships to promote their product — finding and vetting partners, structuring deals, briefing creators, disclosure compliance, and mea…
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover.
When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content.
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages.
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets.
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks.
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program.
When the user wants to plan, build, or optimize SMS or MMS marketing — including welcome flows, abandoned cart texts, post-purchase, win-back, promotional sends, or transactional/auth SMS.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms.…
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies.
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness.
When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation.
When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task.
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value.
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes.
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy.
When the user wants to optimize signup, registration, account creation, or trial activation flows.
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structur…
When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates.
When the user wants help with pricing decisions, packaging, or monetization strategy.
When the user wants to plan a product launch, feature announcement, or release strategy.
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my ta…
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this comp…
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement.
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer intervie…
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers.
When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,…
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery.
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location p…
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tag…
When the user wants to add, fix, or optimize schema markup and structured data on their site.
When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking.
Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR emails…
When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses.
When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes.
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts.
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms, or wants to do social listening and engageme…
When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities.
When the user wants multiple expert perspectives on a marketing question — a simulated board of advisors staffed by legendary marketers (Seth Godin, David Ogilvy, Eugene Schwartz, April Dunford, Rory…
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product.
When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.
When the user wants to apply psychological principles, mental models, or behavioral science to marketing.
Runs parameterized backtests, sweeping tickers, intervals, and strategy parameters to find and rank the best configurations
Runs a reproducible historical backtest from a start date, end date, and strategy concept, with documented assumptions and downloadable artifacts
Structures and evaluates index-option trades with expiry-aware, defined-risk controls before you place them yourself
Simulates a strategy forward in a paper account, tracking positions, exits, and running P&L over a chosen window
Coordinates the full research loop across backtesting, validation, paper trading, and reporting into one consolidated view
End-to-end trading research: backtest a strategy, save the best candidates, inspect prior runs, and forward-test them as paper trades
Compares your recorded positions, trades, and P&L against your account's actual holdings to surface discrepancies
Summarizes trading-run performance in three modes: recent-run summary, single-run deep dive, and top-strategy ranking
Independently cross-checks recorded trades against market data for price, P&L, and trading-hours accuracy, iterating up to ten times