36 KiB
External AI agent skills — foreign-exchange-trader
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Tiers: core = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; adjacent =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
pipeline/p5_enrich_ai_skills.py on 2026-07-14.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
f6656c1, retrieved 2026-07-14) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
docx |
adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | source |
pdf |
adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
xlsx |
adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | source |
Source: wshobson/agents
- Repository: https://github.com/wshobson/agents (commit
6fd3247, retrieved 2026-07-14) - License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
backtesting-frameworks |
core | Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting … | source |
risk-metrics-calculation |
core | Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems. | source |
Source: a5c-ai/babysitter
- Repository: https://github.com/a5c-ai/babysitter (commit
44a5d58b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
algorithmic-trading |
core | Develop algorithmic trading strategies — backtesting, execution algorithms, market microstructure analysis, and latency optimization. | source |
monte-carlo-financial-simulator |
core | Stochastic simulation skill for financial modeling with probability distributions and risk quantification | source |
throughput-accountant |
core | TOC financial metrics skill for throughput, inventory, and operating expense analysis with decision support | source |
trade-lifecycle |
core | Implement and manage trade lifecycle processes — order management, execution, clearing, settlement, and reconciliation workflows. | source |
value-at-risk-calculator |
core | Value at Risk (VaR) and related risk metrics calculation skill for financial and operational risk assessment | source |
budget-forecasting-engine |
core | Driver-based budgeting and forecasting skill with rolling forecast support and variance analysis | source |
fx-hedging-strategy-modeler |
core | Foreign exchange exposure analysis and hedging strategy skill with hedge effectiveness testing | source |
Source: aeonfun/aeon
- Repository: https://github.com/aeonfun/aeon (commit
b8b763a, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
robinhood-mcp |
core | Read your Robinhood Agentic brokerage account via the Robinhood Trading MCP - portfolio, buying power, positions, and order history - and place a single operator-instructed trade. OAuth Connect via the dashboard MCP panel. | source |
Source: affaan-m/everything-claude-code
- Repository: https://github.com/affaan-m/everything-claude-code (commit
ed38744, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
agentic-os |
core | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | source |
Source: ahacker-1/cre-agent-skills
- Repository: https://github.com/ahacker-1/cre-agent-skills (commit
618734e, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
cre-asset-management |
core | CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions, lease-up tracking, capex execution, NOI … | source |
Source: alinaqi/claude-bootstrap
- Repository: https://github.com/alinaqi/claude-bootstrap (commit
f61ec87, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
code-graph |
core | AST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server | source |
Source: alirezarezvani/claude-skills
- Repository: https://github.com/alirezarezvani/claude-skills (commit
0241f43, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
senior-pm |
core | Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses … | source |
risk-management-specialist |
core | Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use when user mentions risk management, ISO … | source |
financial-analyst |
core | Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or … | source |
finance-skills |
core | Router/index for the 2 finance skills bundled in this plugin: financial-analyst (ratio analysis, DCF valuation, budget variance, rolling forecasts) and saas-metrics-coach (ARR/MRR, churn, CAC/LTV, NRR, quick ratio). Use when a finance … | source |
capa-officer |
core | CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause … | source |
pm-skills |
core | Use when coordinating project-delivery work across the 8 project-management sub-skills — sprint/velocity analytics, portfolio health, Jira/JQL, Confluence, Atlassian admin, templates, meeting analysis, team comms. Triggers on 'our sprints … | source |
Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills (commit
85bf545, retrieved 2026-07-14) - License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
education-data-source-fsa |
core | FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By … | source |
cost-benefit |
core | Cost-benefit analysis. Produces economic NPV and financial NPV side by side, with BCR, optimism bias (with mitigation), Marginal Excess Tax Burden, real-terms rebasing, WELLBY / QALY / VPF wellbeing valuation, sensitivity, switching … | source |
target-journal |
core | Journal targeting analysis for the sewage-house-prices paper. Recommends ranked journal list across 3 tiers with formatting requirements, submission strategy, and desk rejection risk assessment. This skill should be used when asked to … | source |
Source: davepoon/buildwithclaude
- Repository: https://github.com/davepoon/buildwithclaude (commit
3c94e0c, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
financial-model |
core | Run deterministic financial models for startup valuation and SaaS health analysis. Triggered by: "/venture-capital-intelligence:financial-model", "run a financial model on X", "DCF this company", "model the financials", "calculate runway", … | source |
Source: davila7/claude-code-templates
- Repository: https://github.com/davila7/claude-code-templates (commit
fa79251, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
risk-management-specialist |
core | Senior Risk Management specialist for medical device companies implementing ISO 14971 risk management throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use for … | source |
postgresql-optimization |
core | PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management. | source |
architecture |
core | Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design. | source |
Source: foryourhealth111-pixel/Vibe-Skills
- Repository: https://github.com/foryourhealth111-pixel/Vibe-Skills (commit
34429a8, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
edgartools |
core | Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), … | source |
Source: huangjia2019/claude-code-engineering
- Repository: https://github.com/huangjia2019/claude-code-engineering (commit
5ed066a, retrieved 2026-07-14) - License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
financial-analyzing |
core | Analyze financial data, calculate financial ratios, and generate analysis reports. Use when the user asks about revenue, costs, profits, margins, ROI, financial metrics, or needs financial analysis of a company or project. | source |
Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: https://github.com/jeremylongshore/claude-code-plugins-plus-skills (commit
e112938a, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
backtesting-trading-strategies |
core | Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading … | source |
web-analytics |
core | Push-based web analytics intelligence for your entire site portfolio. Fetches data from Umami (primary) and GA4 (fallback), runs specialist analysis agents in parallel, and delivers actionable insights. Three tiers: mini (30s pulse), … | source |
analyzing-on-chain-data |
core | Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market". | source |
Source: K-Dense-AI/claude-scientific-skills
- Repository: https://github.com/K-Dense-AI/claude-scientific-skills (commit
4d97e29, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
astropy |
core | Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis … | source |
Source: K-Dense-AI/scientific-agent-skills
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills (commit
4d97e29, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
astropy |
core | Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis … | source |
Source: mohitagw15856/pm-claude-skills
- Repository: https://github.com/mohitagw15856/pm-claude-skills (commit
876fa30, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
credit-memo |
core | Write a credit memo for a lending decision: borrower story, facility structure, repayment sources, financial-ratio spread with covenant headroom, risk factors with mitigants, risk-rating rationale, and a recommendation. Use when asked to … | source |
product-health-analysis |
core | Interpret product metrics against goals and surface actionable signals. Use when asked to analyse product health, review key metrics, investigate a performance issue, produce a health report, or assess product-market fit signals. Produces … | source |
budget-variance-analysis |
core | Produce a structured budget variance analysis from actual vs budget figures. Use when asked to analyse budget variances, explain underspend or overspend, write a variance commentary, or investigate why actuals differ from plan. Produces a … | source |
retro-analysis |
core | Analyses sprint delivery data and produces a structured retrospective brief. Use when asked to run a retrospective, analyse sprint data, prepare a retro brief, or turn sprint metrics into discussion prompts. Produces a data-grounded … | source |
Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: https://github.com/mukul975/Anthropic-Cybersecurity-Skills (commit
673da1f, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
analyzing-macro-malware-in-office-documents |
core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | source |
Source: nexscope-ai/Amazon-Skills
- Repository: https://github.com/nexscope-ai/Amazon-Skills (commit
bdc5562, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
amazon-seller-analytics |
core | Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller revenue estimation, product portfolio strategy, growth trajectory, and market positioning. Reverse-engineer successful seller strategies and identify … | source |
Source: nexscope-ai/eCommerce-Skills
- Repository: https://github.com/nexscope-ai/eCommerce-Skills (commit
56f3288, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
etsy-advertising |
core | Etsy Ads strategy — budget allocation, bid management, promoted listings, offsite ads opt-out analysis | source |
supply-chain-optimization-tiktok |
core | Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product lifecycle management. … | source |
Source: nexu-io/open-design
- Repository: https://github.com/nexu-io/open-design (commit
4b66023, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
trading-analysis-dashboard-template |
core | Professional trading analysis dashboard template (single-file HTML) with light/dark theme switch, dense market panels, chart interactions, demo/live playback, and command palette behavior. Use when users ask for a Wall-Street-style … | source |
Source: rampstackco/claude-skills
- Repository: https://github.com/rampstackco/claude-skills (commit
bc6d961, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
data-warehouse-experimentation |
core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | source |
Source: secondsky/claude-skills
- Repository: https://github.com/secondsky/claude-skills (commit
c4889f6, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
websocket-implementation |
core | Implements real-time WebSocket communication with connection management, room-based messaging, and horizontal scaling. Use when building chat systems, live notifications, collaborative tools, or real-time dashboards. | source |
Source: google/skills
- Repository: https://github.com/google/skills (commit
b15f327, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
bigquery-basics |
core | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | source |
datalineage-bigquery-asset-impact-analysis |
core | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | source |
bigtable-basics |
core | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | source |
agent-platform-alert-configuration |
adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | source |
agent-platform-eval-flywheel |
adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | source |
alloydb-basics |
adjacent | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | source |
bigquery-ai-ml |
adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | source |
cloud-sql-basics |
adjacent | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | source |
google-cloud-networking-observability |
adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | source |
gke-observability |
adjacent | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | source |
google-analytics-admin-api-basics |
adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | source |
google-analytics-data-api-basics |
adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | source |
Source: NVIDIA/skills
- Repository: https://github.com/NVIDIA/skills (commit
153b14b, retrieved 2026-07-14) - License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
deepstream-dev |
core | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | source |
vss-generate-video-report |
core | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | source |
tao-train-metric-learning-recognition |
adjacent | Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | source |
tao-train-reid |
adjacent | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | source |
tao-train-depth-anything-v2 |
adjacent | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | source |
vss-manage-alerts |
adjacent | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | source |
nemo-evaluator-plugin |
adjacent | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | source |
nv-reason-cxr |
adjacent | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | source |
vss-generate-video-calibration |
adjacent | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | source |
vss-query-analytics |
adjacent | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | source |
vss-setup-behavior-analytics |
adjacent | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | source |
vss-setup-video-analytics-api |
adjacent | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | source |
Source: phuryn/pm-skills
- Repository: https://github.com/phuryn/pm-skills (commit
18468a9, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
cohort-analysis |
core | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | source |
ab-test-analysis |
core | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | source |
dummy-dataset |
core | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | source |
product-strategy |
adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | source |
gtm-strategy |
adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | source |
lean-canvas |
adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | source |
north-star-metric |
adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | source |
sql-queries |
adjacent | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | source |
metrics-dashboard |
adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | source |