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Skills for AI Agents

Architecture Decision Record

architecture-decision-record guides AI in writing and maintaining Architecture Decision Records (ADRs) using a customised MADR bare template. Covers the full ADR lifecycle: creating, updating, superseding, and status transitions. Defines slug rules, front-matter fields, section structure, and quality rules. Acts as the sole authoritative reference for ADR format — all other ADR skills defer to it.

architecture-decision-record-review reviews ADRs for structural conformance to the architecture-decision-record skill template and for cross-ADR consistency. Can target a specific ADR by number or sub-folder, or review all ADRs at once. Checks WIP placeholders, HTML comments, markdownlint rules, and supersession chain integrity. Reports findings per ADR with [high]/[low] severity, separated by ---.

architecture-decision-record-review-code reviews source code against the project's ADRs. Applies accepted ADR decisions as high-priority findings and draft/proposed ADRs as low-priority early warnings. Follows supersession chains to the authoritative ADR. Ignores rejected and deprecated ADRs.

architecture-decision-record-migrate-to-current-template migrates an existing ADR to the current skill template format without changing any content, decisions, or phrasing. Adds placeholder text for missing mandatory sections and properties, and replaces legacy placeholder values. Invokes the architecture-decision-record-review skill after migration to validate the result.

Markdown Docs Review

markdown-docs-review audits all Markdown (*.md) documentation files in the project for consistency, duplication, broken links, and contradictions. Checks single-source-of-truth violations, verifies relative links and anchors, reconciles contradictions between files, and fixes all findings in place. Iterates until a full pass produces zero fixable findings.

Financial Research Local

financial-research-local helps search and interpret local financial datasets (bank statements, credit card transactions, investment portfolios). Guides agents on folder structure navigation, German CSV conventions (semicolon separators, comma decimals, date formats), encoding handling, and privacy-safe output formatting. Covers ambiguous dates, amount sign conventions, and institution-specific data patterns.

Product Buying Guide

product-buying-guide guides users through informed purchase decisions by systematically researching and comparing products. Follows a structured workflow: check existing research, define requirements, gather candidates, compare systematically, and recommend. Features a language gate (responds in the user's query language), market-specific price research (EU-wide coverage with German market focus), total cost of ownership calculations, and structured output with citations. Covers professional test sites, price comparison portals, and fallback strategies for blocked sources.

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