Finance
Personal finance, budgeting, financial tools
travel-planner
by ailabs-393
This skill should be used whenever users need help planning trips, creating travel itineraries, managing travel budgets, or seeking destination advice. On first use, collects comprehensive travel preferences including budget level, travel style, interests, and dietary restrictions. Generates detailed travel plans with day-by-day itineraries, budget breakdowns, packing checklists, cultural do's and don'ts, and region-specific schedules. Maintains database of preferences and past trips for personalized recommendations.
financial-deep-research
by rebyteai-template
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
assembling-context
by axiomantic
"Prepare tiered context packages for subagents and manage token budgets. Triggered by 'prepare context for', 'assemble context', 'token budget', or invoked by implementing-features Phase 3.5/4.2."
fractal-thinking
by axiomantic
Adaptive recursive thought engine for deep exploration. Invoked by other skills (brainstorming, fact-checking, debugging, deep-research) when they need to deeply explore uncertainty, systematically decompose complex questions, or gain certainty about multi-faceted problems. Triggers: "think deeply about", "explore this recursively", "I need certainty about", "decompose this question", "what am I missing". Also invoked programmatically with a seed, intensity, and checkpoint mode. NOT for: simple questions with known answers, linear task execution, or file-by-file code review.
streamlit-pivot
by streamlit
"Build Streamlit apps with st_pivot_table — a BI-focused pivot table component supporting multi-dimensional pivoting, subtotals, conditional formatting, Excel/CSV/TSV export, drill-down, drag-and-drop, date hierarchies with period-over-period comparisons, synthetic measures (including formula measures), Top N / Bottom N and value-predicate analytical filters (0.5.0+), show-values-as analytical display modes (running total, rank, % of parent, index), values axis placement (values_axis rows/columns, 0.5.0+), multi-field chained sorting (0.5.0+), custom member grouping — combine multiple dimension values into a named group for cleaner rollups (member_groups, 0.6.0+), server-side pre-aggregation for large datasets, and aggregation result memoization for significant latency reduction on display-only reruns (number_format, style, show_values_as — groupby is skipped on repeat renders in threshold_hybrid mode). Use when: user wants a pivot table in Streamlit, mentions streamlit_pivot / st_pivot_table, needs interactive data summarization, Top N filter, value filter, running total, rank, income statement layout, values on rows, financial report, wants to group dimension members (e.g. combine regions, bundle categories), or wants to deploy to Streamlit Community Cloud or Streamlit in Snowflake (SiS) on SPCS (installed from PyPI via PYPI_ACCESS_INTEGRATION). Triggers: pivot table, streamlit_pivot, st_pivot_table, pivot, crosstab, data summarization, top N, top n filter, value filter, running total, rank, values on rows, income statement, financial layout, member group, group members, combine regions, bundle categories, custom grouping, SiS, SiS on SPCS, Snowflake streamlit, PYPI_ACCESS_INTEGRATION, Streamlit Community Cloud, aggregation cache, memoization, display-only rerun, near-zero latency."
orchestrate
by acedergren
Coordinate parallel agent teams to execute multi-task implementation plans. Use when running phase tasks from the task plan, parallelizing independent implementation work, or executing custom plan files. Supports interactive (in-session TeamCreate agents) and headless (claude -p fire-and-forget processes) execution modes with task ledger tracking, heartbeat monitoring, budget control, and wave-based quality gates.
jaz-recipes
by teamtinvio
16 IFRS-compliant recipes for complex multi-step accounting in Jaz — prepaid amortization, deferred revenue, loan schedules, IFRS 16 leases, hire purchase, fixed deposits, asset disposal, FX revaluation, ECL provisioning, IAS 37 provisions, dividends, intercompany, and capital WIP. Each recipe includes journal entries, capsule structure, and verification steps. Paired with 13 financial calculators that produce execution-ready blueprints with workings.
jaz-jobs
by teamtinvio
12 accounting jobs for SMB bookkeepers and accountants — month-end, quarter-end, and year-end close playbooks plus 9 ad-hoc operational jobs (bank recon, document collection, GST/VAT filing, payment runs, credit control, supplier recon, audit prep, fixed asset review, statutory filing). Jobs can have paired tools as nested subcommands (e.g., clio jobs bank-recon match, clio jobs document-collection ingest, clio jobs statutory-filing sg-cs). Paired with an interactive CLI blueprint generator (clio jobs).
jaz-api
by teamtinvio
Complete reference for the Jaz REST API — the accounting platform backend. Use this skill whenever building, modifying, debugging, or extending any code that calls the API — including API clients, integrations, data seeding, test data, or new endpoint work. Contains every field name, response shape, error, gotcha, and edge case discovered through live production testing.
jaz-conversion
by teamtinvio
Accounting data conversion skill — migrates customer data from Xero, QuickBooks, Sage, MYOB, and Excel exports to Jaz. Covers config, quick, and full conversion workflows, Excel parsing, CoA/contact/tax/items mapping, clearing accounts, TTB, and TB verification.
sec-edgar-skill
by rebyteai-template
SEC EDGAR filing analysis using EdgarTools. Use when user asks about SEC filings, company financials, 10-K/10-Q analysis, insider trading, revenue trends, or financial comparisons. Triggers include "SEC filing", "10-K", "10-Q", "8-K", "EDGAR", "company financials", "revenue", "earnings", "insider trading", "financial statements". Do NOT use for real-time stock prices or market data (use market-data skill instead).
tech-earnings-deepdive
by webleon
科技股财报深度分析与多视角投资备忘录系统（v3.0）。覆盖A-P共16大分析模块、6大投资哲学视角、机构级证据标准、反偏见框架和可执行决策体系。当用户提到某科技公司财报分析、季报/年报解读、earnings call、收入增长分析、利润率变化、guidance指引、估值模型、DCF、反向DCF、EV/EBITDA、PEG、Rule of 40、管理层分析、竞争格局、持仓判断、是否买入/卖出/加仓某科技股、某公司最新财报怎么看、帮我做个deep dive、多角度估值、投资大师怎么看这家公司、variant view、key forces、kill conditions、筹码分布、高管团队、合作伙伴生态、宏观政策影响等话题时，务必使用此技能。即使用户只是笼统地问"帮我看看NVDA最新财报"或"META这季度表现如何"或"该不该继续持有MSFT"，也应触发此技能来提供全面的财报分析和多视角投资备忘录。此技能与us-value-investing技能互补——us-value-investing侧重长期价值四维评分，本技能侧重最新财报的深度拆解、多投资哲学的综合判断、以及可执行的持仓决策。
prompt-engineering
by CodeAlive-AI
Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic systems that need structured prompts.
optimizing-costs
by ancoleman
Optimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.
analyzing-financial-statements
by ronnycoding
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
creating-financial-models
by ronnycoding
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
partnership-marketer
by ncklrs
Expert partnership marketing guidance for building and scaling partner programs, co-marketing campaigns, and channel ecosystems. Use when developing partner strategy, creating co-marketing content, designing partner tiers, building affiliate programs, positioning in integration marketplaces, enabling channel partners, planning joint webinars, or structuring revenue sharing. Use for technology partnerships, reseller programs, strategic alliances, and partner relationship management.
nl2ledger
by deusyu
Natural language bookkeeping — parse Chinese/English expense descriptions and append to QianJi CSV. Trigger phrases: 记账, 记一笔, add expense, spent, 花了, 买了, lunch, dinner, 打车, 咖啡, or any input that looks like "[item] [amount]" or "[amount] [item]".
qweather
by deusyu
天气查询 — 实时天气、天气预报、生活指数、城市搜索。数据源为和风天气 (QWeather)。 触发词: 天气, 气温, 下雨, 预报, weather, forecast, 穿什么, 洗车, 紫外线, UV, 空气, 今天天气, 明天天气, 北京天气, 或任何 "[城市] 天气" 格式的输入。
stripe-api
by Yuyz0112
The Stripe REST API. Please see https://stripe.com/docs/api for more details.. Use when working with the Stripe API or when the user needs to interact with this API.
meeting-summary
by twwch
生成结构化的会议纪要，包含议题摘要、决策事项和行动项
construction-expert
by personamanagmentlayer
Expert-level construction management, project planning, BIM, safety compliance, and construction technology
product-market-fit
by mfwarren
Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.
marketing-psychology
by futuregerald
"When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application."