AI Agent Skills

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

A local-first knowledge management app

Use to derive the API contract for a feature — an OpenAPI 3.1 document at docs/features/{slug}/contracts/openapi.yaml plus a drift/sync report (and an events doc when th…

Use to design the data model AND generate the actual forward + rollback migrations in one pass — shippable SQL, not a plan. Triggers on "data model for {slug}", "schema…

Use to record a post-hoc or asynchronous architecture decision as a MADR ADR when it was NOT captured during the synchronous design pass — a choice made in code, in a ch…

Use to establish the project's design canon — docs/design-system.md: the design-tool choice (Figma MCP / Pencil MCP / code-only markdown), the platform posture (mobile-f…

Use to produce the canonical screen manifest for a UI feature — every screen in every state (default / loading / empty / error / success / validation), with reuse-first…

Common conventions for writing Markdown documents that cite external sources (survey reports, paper explainers, and any deliverable that surfaces facts from outside). De…

Conventions for writing a Markdown explainer that walks the reader through a concept or system. Lays out term-list formatting, Mermaid diagram rules, granularity expecta…

Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report. Use when the user asks to investigate, su…

Formatting rules for quoting external sources (papers, articles, web pages, prompt templates) inside a Markdown document. Quotations always live in fenced code blocks (n…

Owns Python code style for this stack: ruff for lint + format, numpydoc for docstrings. Three responsibilities — (1) place the project's `ruff.toml` from the bundled tem…

A command-line tool to convert handwritten notes to markdown files

Creating Pretty HTML From R Markdown

Convert various file formats to Markdown for indexing, text analysis, and other applications that benefit from structured text. TS port of the python ibrary.

Reconcile facts, figures, dates, names, definitions, and disclosures across multiple Chinese investment-banking documents. Use when comparing 招股说明书、发行保荐书、上市保荐书、审计报告、法律意见…