36 KiB
External AI agent skills — accounting-assistant
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: a5c-ai/babysitter
- Repository: https://github.com/a5c-ai/babysitter (commit
44a5d58b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
gaap-ifrs-compliance-checker |
core | Automated compliance validation skill for GAAP and IFRS accounting standards with codification references | source |
amortized-analysis-assistant |
core | Apply amortized analysis techniques including aggregate, accounting, and potential methods | source |
lease-accounting-calculator |
core | ASC 842/IFRS 16 lease accounting skill for right-of-use asset and liability calculations | source |
throughput-accountant |
core | TOC financial metrics skill for throughput, inventory, and operating expense analysis with decision support | source |
translation-management |
core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | source |
xbrl-filing-generator |
core | XBRL financial statement tagging and SEC filing preparation skill | 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: alirezarezvani/claude-skills
- Repository: https://github.com/alirezarezvani/claude-skills (commit
0241f43, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
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 |
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 |
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 |
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 |
|---|---|---|---|
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 |
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 |
seismology-data-guide |
core | Earthquake data analysis, seismogram processing, and seismic research | 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 |
invoice-organizer |
core | Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of … | 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 |
|---|---|---|---|
invoice-organizer |
core | Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of … | 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 |
|---|---|---|---|
find-cpa-firm |
core | Use whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A … | source |
navan-core-workflow-b |
core | Manage Navan expense reporting, transaction data, and ERP synchronization. Use when building expense pipelines, automating approval workflows, or syncing transactions to accounting systems. Trigger with "navan expense management", "navan … | source |
fondo-local-dev-loop |
core | Configure local development workflows that integrate with Fondo for financial data, using Fondo exports with QuickBooks or accounting tools. Trigger: "fondo dev setup", "fondo export", "fondo QuickBooks", "fondo local data". | source |
fondo-install-auth |
core | Set up Fondo account and configure integrations with Gusto, QuickBooks, and bank accounts for automated startup bookkeeping and R&D tax credits. Trigger: "setup fondo", "fondo account", "fondo integrations", "connect fondo". | source |
ramp-common-errors |
core | Ramp common errors \u2014 corporate card and expense management API\ \ integration.\nUse when working with Ramp for card management, expenses, or accounting\ \ sync.\nTrigger with phrases like "ramp common errors", … | source |
fondo-reference-architecture |
core | Reference architecture for startup financial operations using Fondo as the bookkeeping backbone with complementary tools for banking, payroll, and reporting. Trigger: "fondo architecture", "startup finance stack", "fondo integration … | source |
fondo-core-workflow-a |
core | Execute Fondo primary workflow: monthly bookkeeping close and financial reporting. Use when managing month-end close, reviewing financial statements, or preparing for board meetings and fundraising. Trigger: "fondo bookkeeping", "fondo … | source |
fondo-upgrade-migration |
core | Migrate to Fondo from other bookkeeping services, switch between Fondo plans, or transition accountants while maintaining financial continuity. Trigger: "migrate to fondo", "switch to fondo", "fondo migration", "change accountant". | source |
navan-core-workflow-a |
core | Manage the complete Navan travel booking lifecycle via REST API. Use when building travel dashboards, automating trip reporting, or syncing booking data to internal systems. Trigger with "navan travel workflow", "navan booking management", … | source |
fondo-ci-integration |
core | Automate financial reporting workflows that complement Fondo with CI/CD pipelines for expense tracking, budget alerts, and financial data validation. Trigger: "fondo CI", "fondo automation", "fondo financial alerts". | source |
fondo-prod-checklist |
core | Execute Fondo production readiness checklist for year-end tax filing, R&D credit claims, and board-ready financial reporting. Trigger: "fondo production", "fondo tax filing ready", "fondo year-end checklist". | source |
Source: kazukinagata/shinkoku
- Repository: https://github.com/kazukinagata/shinkoku (commit
e610b30, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
journal |
core | This skill should be used when the user wants to record bookkeeping entries (仕訳), import transaction data from CSV files, receipts, or invoices, or manage their general ledger. Trigger phrases include: "仕訳を入力", "仕訳登録", "CSVを取り込む", … | source |
settlement |
core | This skill should be used when the user needs to perform year-end closing adjustments (決算整理), review financial statements (決算書), compute depreciation, or review their trial balance. Trigger phrases include: "決算", "決算整理", "決算書を作る", "減価償却", … | source |
Source: microsoft/skills
- Repository: https://github.com/microsoft/skills (commit
dc543aa, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
azure-ai-document-intelligence-dotnet |
core | Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. … | source |
azure-ai-textanalytics-py |
core | Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity … | 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 |
|---|---|---|---|
bookkeeping-categorization |
core | Set up a chart of accounts and rules for categorizing transactions. Use when asked how to categorize expenses/transactions, set up a chart of accounts, organize bookkeeping, or sort bank transactions into the right buckets. Produces a … | source |
carbon-accounting-check |
core | Sanity-check a greenhouse gas inventory before it goes into a report or gets audited. Use when asked to review a carbon footprint, check a GHG inventory, validate scope 1/2/3 numbers, explain a year-over-year emissions change, or prepare … | 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: nowork-studio/notfair-plugin
- Repository: https://github.com/nowork-studio/notfair-plugin (commit
8d9d54b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
paid-ads-x |
core | Audit, diagnose, and safely operate connected X Ads (Twitter Ads) accounts through the NotFair MCP. Use for X Ads performance, campaign or line-item analysis, spend, conversions, targeting, promoted posts, audiences, budgets, bids, … | source |
Source: ruvnet/claude-code-flow
- Repository: https://github.com/ruvnet/claude-code-flow (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
AgentDB Advanced Features |
core | Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or … | source |
AgentDB Memory Patterns |
core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
Source: ruvnet/ruflo
- Repository: https://github.com/ruvnet/ruflo (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
AgentDB Advanced Features |
core | Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or … | source |
AgentDB Memory Patterns |
core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
Source: sanjay3290/ai-skills
- Repository: https://github.com/sanjay3290/ai-skills (commit
3619692, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
mssql |
core | Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database … | source |
Source: Sendmux/skills
- Repository: https://github.com/Sendmux/skills (commit
f574c14, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
sendmux-management |
core | Manage Sendmux account-level resources with an smx_root_ key. Use for domains, mailbox provisioning, mailbox API keys, sending accounts, webhooks, billing, spend, delivery logs, incoming logs, metrics, and other team administration tasks; … | 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 |
bigquery-ai-ml |
core | 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 |
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 |
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 |
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 |
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-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 |
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 |
bigtable-basics |
adjacent | 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 |
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 |
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 |
|---|---|---|---|
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 |
deepstream-dev |
adjacent | 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 |
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-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 |
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 |
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 |
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 |
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 |
dummy-dataset |
adjacent | 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 |
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 |
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 |
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 |
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 |