Examine how a job or business generates income through ownership, responsibility, and leverage—ways to expand output beyond personal working hours. Use the framework to consider equity, products, or content while setting limits on downside risk.
- Reviewing reliance on income tied to working hours
- Comparing salary and equity compensation
- Assessing whether a side business can scale
kangarooking/cangjie-skill☆ 11.5KUpdated Oct 2, 2026
Generate a detailed Buy/Sell/Hold equity research report for Indian stock market (NSE/BSE listed companies). Use this skill whenever the user asks for a stock analysis, equity research, investment recommendation, target price, fundamental analysis, technical analysis, or buy/sell/hold opinion on any Indian company or stock. Triggers on phrases like "analyse [stock]", "should I buy [stock]", "research report for [company]", "target price for [stock]", "is [stock] a good buy", "NSE/BSE stock analysis", etc. Always use this skill for any Indian equity research request — even if the user just names a stock ticker or company and asks "what do you think?"
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vishalmdi/india-equity-report-skill☆ 26Updated Mar 5, 2026
Plan startup hiring from pre-seed through Series A. Organize roles, reporting lines, salaries, and equity compensation, then estimate staffing costs and hiring timelines around revenue goals, funding milestones, and budget limits.
- Prioritizing the next startup hires
- Budgeting staffing costs, including benefits and overhead
- Planning salary and equity ranges
wshobson/agents☆ 41KUpdated Oct 19, 2026
Prepare concise Word profiles of public or private companies using S&P Capital IQ data. It adapts business and financial information for equity research, M&A, acquisition planning, or sales meetings, with checked calculations and clearly marked missing data.
- Preparing a company summary for equity research
- Profiling an M&A or acquisition target
- Preparing company background for a sales meeting
anthropics/financial-services☆ 40.3KUpdated Sep 22, 2026
Create stock research notes combining analyst forecasts, reported financials, price history, and economic conditions. Compare market expectations with business performance, present valuation measures, and summarize an investment case with positive scenarios, risks, and potential catalysts.
- Preparing an initial research note on a stock
- Comparing analyst forecasts with reported results
- Reviewing financial trends and stock valuation
anthropics/financial-services☆ 40.3KUpdated Sep 22, 2026
Compare compensation with market benchmarks by role, level, and location. Analyze salary band placement, flag outliers and retention risks, and model equity grants, meaning share-based compensation, to support hiring offers and compensation reviews.
- Compare a hiring offer with market compensation
- Review employee placement within salary bands
- Identify compensation outliers and retention risks
anthropics/knowledge-work-plugins☆ 30.3KUpdated Oct 17, 2026
Turn an existing listed-equity investment view into a position size and hedge plan. Compare loss limits, liquidity, protection costs, and smaller positions, then define the exposures to retain and the conditions for changing the plan.
- Sizing a stock position against loss and liquidity limits
- Comparing hedges with reducing a position
- Defining triggers to resize or remove protection
openai/plugins☆ 7.5KUpdated Oct 8, 2026
A drafting-and-review copilot for a founders' / co-founders' agreement — the terms fixing equity, vesting, IP, roles, control, deadlock, and departure between cofounders. Jurisdiction-agnostic, anchored on the Delaware C-corp default. Two modes: DRAFT (intake → equity & vesting → clauses → blocker triage → pre-signature check) and REVIEW (audit an existing agreement against an 18-clause checklist and red-flag scan). It handles the highest-dispute terms first-class: the equity split as documented reasoning (not a fake calculator), reverse vesting and the 83(b) clock, present-tense IP assignment (the Stanford v. Roche trap), leaver buyback and dead equity, and the deadlock clause most tools omit. It drafts for the venture, never one founder against another. Not legal advice.
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lawve-ai/awesome-legal-skills☆ 874Updated Oct 3, 2026
Builds growth equity return models with minority/majority economics, participation rights, and preference stack analysis. Use when modeling growth equity returns, projecting minority investment outcomes, or analyzing preference structures.
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CaseMark/skills☆ 45Updated Oct 17, 2026
Assesses market receptivity for equity issuance with sector sentiment, volatility, and comparable recent offering performance. Use when timing equity offerings, analyzing market windows, or evaluating issuance conditions.
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CaseMark/skills☆ 45Updated Oct 17, 2026
Evaluates convertible bond and mandatory convertible structures with equity sensitivity, credit floor, and Greeks analysis. Use when analyzing convertible offerings, pricing equity-linked instruments, or modeling conversion economics.
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CaseMark/skills☆ 45Updated Oct 17, 2026
"Apply brand equity frameworks (Aaker, 1991; Keller, 1993) to assess and build customer-based brand value. Use this skill when the user needs to audit brand strength, diagnose brand equity components, design brand-building strategies, or when they ask 'how strong is our brand', 'what drives brand value', or 'how do we build brand equity'.".
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charlieviettq/awesome-agent-skill☆ 26Updated Jul 20, 2026
Evaluate job offers by separating guaranteed pay, conditional bonuses, and estimated equity value. Compare terms, develop an evidence-based counteroffer, draft emails and call scripts, rehearse recruiter conversations, and prepare deadline extensions, acceptance, or decline messages.
- Comparing pay and terms across job offers
- Drafting a counteroffer email
- Rehearsing a salary negotiation call
reactive-resume/reactive-resume☆ 44.5KUpdated Oct 18, 2026
Compare job offers using salary, equity, benefits, and working conditions. Build side-by-side tables for first-year and ongoing compensation, then score career growth, team culture, and other factors according to personal priorities.
- Compare total compensation across job offers
- Weigh career growth against working conditions
- Assess equity terms and company stability
davila7/claude-code-templates☆ 32.7KUpdated Oct 18, 2026
Draft an offer letter with salary, equity, bonuses, employment terms, and benefits. Organize first-year total compensation and prepare negotiation notes for the hiring manager, using candidate and compensation data from connected HR systems when available.
- Draft an offer letter for a hiring candidate
- Summarize salary, equity, and bonuses
- Organize start date, work location, and benefits
anthropics/knowledge-work-plugins☆ 30.3KUpdated Oct 17, 2026
Routes listed-company investment research to specialist skills for earnings analysis, valuation, financial model updates, and portfolio risk reviews. Helps organize evidence, assumptions, and investment theses into reports, models, memos, and monitoring trackers.
- Prepare earnings previews and post-results analysis
- Assess company valuation and update financial models
- Track investment theses and upcoming catalysts
openai/plugins☆ 7.5KUpdated Oct 8, 2026
Develop public equity trade pitches for portfolio managers, covering long, short, or paired positions. Explain the difference from market expectations, potential catalysts, gains and losses, risk considerations, and exit rules, while labeling assumptions and missing evidence.
- Develop a long or short equity trade pitch
- Compare a trade thesis with market expectations
- Test catalysts, scenarios, and risk controls
openai/plugins☆ 7.5KUpdated Oct 8, 2026
Analyze how a specific event or policy change affects listed companies, sectors, earnings, valuations, and portfolio decisions. Produce a report linking causes to equity impacts, separating evidence from assumptions and outlining scenarios, counterarguments, and monitoring signals.
- Assessing how a policy change affects listed companies
- Mapping sector winners and losers from an economic shock
- Comparing earnings and valuation scenarios
openai/plugins☆ 7.5KUpdated Oct 8, 2026
long short equity strategy, pair trade construction, market neutral portfolio, net exposure management, factor neutrality, equity long short, hedge fund strategy, alpha generation, stock picking portfolio construction, long short position management
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agentii-ai/agentii-investment-intelligence☆ 207Updated Sep 29, 2026
Institutional-grade equity research skills for AI agents. 80 Claude-type skills across 14 verticals (equity-research-core, models-and-pitches, bio-pharm, scenarios, quantitative-analysis, idea-generation, options-derivatives, business-intelligence, industry-analysis, macro-strategy, portfolio-strategy, technical-analysis, risk-and-psychology, trading-as-business) powered by agentii.ai's agent-use-ready SEC filing data plane — SEC filings and 15K+ earnings call transcripts, 15.99M XBRL facts, and company profiles for 1,146+ US-public-equity tickers. Features the three-layer retrieval protocol (Document Discovery → Page Map → Deep Read, with deep-outline escalation) — measured, not asserted: 97.5% saved against a sequential read, and the page map itself is 10.0% of one (spec 062 T030, 2026-09-23) — server-side parallel multi-period search via search_cross_period, a full Excel/PPT generation pipeline with 3-tier office backend support, and the spec-046 governance layer (constitution, thesis and single-skill modes, mechanical gates, and a template-owned disclaimer on generated reports).
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agentii-ai/agentii-investment-intelligence☆ 207Updated Sep 29, 2026
Your first 10 hires determine your company culture. Your first 50 determine your execution capacity. Hiring is the most leveraged activity a founder does, and the most common source of expensive mistakes. This skill covers when to hire, who to hire first, how to sequence roles, compensation and equity, interviewing and closing, and the many ways hiring goes wrong at startups. Use when "hiring, first hire, when to hire, who to hire, compensation, equity, salary, recruiting, interview process, offer negotiation, team building, engineer hire, sales hire, founding team, hiring, team, compensation, equity, recruiting, interviews, offers, startups, founding-team" mentioned.
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omer-metin/skills-for-antigravity☆ 168Updated Jan 22, 2026
德州扑克策略 (德州扑克策略 (Texas Hold'em) — solver/GTO 时代的无限注德州扑克竞技打法,牌手/职业视角。覆盖: (a) 理论两极 — GTO 博弈论均衡 (不可剥削的基线策略) vs Exploitative 剥削打法 (针对对手漏洞偏离均衡最大化 EV),以及二者的实战取舍; (b) solver 时代工作流 — PioSOLVER/GTO Wizard 跑解、范围构建、节点锁定 (node-locking) 做剥削、用 HUD+数据库 (Hold'em Manager/PokerTracker/Hand2Note) 复盘找漏洞 (leak finding); (c) 牌型分层 — 现金局 (cash game) vs 锦标赛 (MTT) 的根本差异,后者叠加 ICM (独立筹码模型) 与跳台/泡沫期博弈; (d) 核心概念栈 — 范围 (range)/权益 (equity)/EV/位置 (position)/翻前开池与 3-bet/4-bet/翻后下注理论 (c-bet、极化 vs 浓缩范围、MDF 最小防守频率、阻断牌 blockers、超池下注 overbet)、SPR、底池赔率; (e) 元层 — 资金管理 (bankroll management)、桌位选择 (table selection)、方差与心态 (mental game/tilt 控制)、抽水 (rake) 与场次选择对长期赢率 (winrate, bb/100) 的影响; (f) 智识演进 — 从 Sklansky 古典手牌价值 → Janda/Tipton 博弈论 → solver 普及 → GTO Wizard 民主化求解 → AI 超人 (Libratus/Pluribus) 对人类策略的反哺。学派分歧: GTO 派 vs 剥削派、现金局 vs 锦标赛、理论自上而下 vs 牌局自下而上、solver 纯学院派 vs 实战感觉派。不含: 线下牌场运营/发牌荷官、博彩合规与赌场管理、扑克之外的牌类 (桥牌/斗地主)、纯概率赌博 (老虎机/轮盘)。) Master OS — automated mastery of 德州扑克策略 (Texas Hold'em) — solver/GTO 时代的无限注德州扑克竞技打法,牌手/职业视角。覆盖: (a) 理论两极 — GTO 博弈论均衡 (不可剥削的基线策略) vs Exploitative 剥削打法 (针对对手漏洞偏离均衡最大化 EV),以及二者的实战取舍; (b) solver 时代工作流 — PioSOLVER/GTO Wizard 跑解、范围构建、节点锁定 (node-locking) 做剥削、用 HUD+数据库 (Hold'em Manager/PokerTracker/Hand2Note) 复盘找漏洞 (leak finding); (c) 牌型分层 — 现金局 (cash game) vs 锦标赛 (MTT) 的根本差异,后者叠加 ICM (独立筹码模型) 与跳台/泡沫期博弈; (d) 核心概念栈 — 范围 (range)/权益 (equity)/EV/位置 (position)/翻前开池与 3-bet/4-bet/翻后下注理论 (c-bet、极化 vs 浓缩范围、MDF 最小防守频率、阻断牌 blockers、超池下注 overbet)、SPR、底池赔率; (e) 元层 — 资金管理 (bankroll management)、桌位选择 (table selection)、方差与心态 (mental game/tilt 控制)、抽水 (rake) 与场次选择对长期赢率 (winrate, bb/100) 的影响; (f) 智识演进 — 从 Sklansky 古典手牌价值 → Janda/Tipton 博弈论 → solver 普及 → GTO Wizard 民主化求解 → AI 超人 (Libratus/Pluribus) 对人类策略的反哺。学派分歧: GTO 派 vs 剥削派、现金局 vs 锦标赛、理论自上而下 vs 牌局自下而上、solver 纯学院派 vs 实战感觉派。不含: 线下牌场运营/发牌荷官、博彩合规与赌场管理、扑克之外的牌类 (桥牌/斗地主)、纯概率赌博 (老虎机/轮盘)。: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on 德州扑克策略 (Texas Hold'em) — solver/GTO 时代的无限注德州扑克竞技打法,牌手/职业视角。覆盖: (a) 理论两极 — GTO 博弈论均衡 (不可剥削的基线策略) vs Exploitative 剥削打法 (针对对手漏洞偏离均衡最大化 EV),以及二者的实战取舍; (b) solver 时代工作流 — PioSOLVER/GTO Wizard 跑解、范围构建、节点锁定 (node-locking) 做剥削、用 HUD+数据库 (Hold'em Manager/PokerTracker/Hand2Note) 复盘找漏洞 (leak finding); (c) 牌型分层 — 现金局 (cash game) vs 锦标赛 (MTT) 的根本差异,后者叠加 ICM (独立筹码模型) 与跳台/泡沫期博弈; (d) 核心概念栈 — 范围 (range)/权益 (equity)/EV/位置 (position)/翻前开池与 3-bet/4-bet/翻后下注理论 (c-bet、极化 vs 浓缩范围、MDF 最小防守频率、阻断牌 blockers、超池下注 overbet)、SPR、底池赔率; (e) 元层 — 资金管理 (bankroll management)、桌位选择 (table selection)、方差与心态 (mental game/tilt 控制)、抽水 (rake) 与场次选择对长期赢率 (winrate, bb/100) 的影响; (f) 智识演进 — 从 Sklansky 古典手牌价值 → Janda/Tipton 博弈论 → solver 普及 → GTO Wizard 民主化求解 → AI 超人 (Libratus/Pluribus) 对人类策略的反哺。学派分歧: GTO 派 vs 剥削派、现金局 vs 锦标赛、理论自上而下 vs 牌局自下而上、solver 纯学院派 vs 实战感觉派。不含: 线下牌场运营/发牌荷官、博彩合规与赌场管理、扑克之外的牌类 (桥牌/斗地主)、纯概率赌博 (老虎机/轮盘)。 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「德州扑克」「德扑」「Texas Hold'em」「poker strategy」「扑克策略」
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swaylq/master-skill☆ 161Updated Sep 6, 2026
Draft equity plan documents — option grants, vesting schedules, 409A notes. Use when asked to "draft an option grant", "write a vesting schedule", or "prepare 409A paperwork".
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tonone-ai/tonone☆ 76Updated Oct 15, 2026
Structures board engagement for growth equity investments with meeting cadence, committee design, and information rights. Use when establishing board governance, preparing board materials, or managing investor board relationships.
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CaseMark/skills☆ 45Updated Oct 17, 2026