skills/read-large-md/SKILL.md
Read markdown files that are too large for the Read tool due to embedded base64 images. Use when Read fails with "exceeds maximum allowed size" on a .md file.
npx skillsauth add AMindToThink/claude-code-settings read-large-mdInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Markdown files exported from Google Docs or similar tools often contain base64-encoded inline images () on single very long lines. These make the file hundreds of KB or millions of tokens, causing the Read tool to fail with "exceeds maximum allowed size" or "exceeds maximum allowed tokens."
Use Grep to extract only the text lines, filtering out image data:
Grep pattern="^[^!]" path="<file>" output_mode="content" head_limit=200
This matches all lines that do NOT start with ! (markdown image syntax), skipping the  lines.
Use offset and head_limit to read in chunks:
Grep pattern="^[^!]" path="<file>" output_mode="content" offset=0 head_limit=200
Grep pattern="^[^!]" path="<file>" output_mode="content" offset=200 head_limit=200
Search directly for section headers or keywords:
Grep pattern="## Theory of Change" path="<file>" output_mode="content" -A=30
.md file due to sizedevelopment
Use when the user asks to check, audit, or improve a website or web project for accessibility (a11y), WCAG compliance, screen reader support, keyboard navigation, color contrast, or alt text. Triggers a plan-mode investigation against the TeachAccess design and code checklists, then implements approved fixes.
development
--- name: make-anonymous-branch description: Use when preparing a research repo for double-blind submission via anonymous.4open.science (ICML/NeurIPS/ICLR/workshop). Builds a single `anon-submission` branch with code+data+paper, scrubs identity leaks (author names, home paths, emails, wandb metadata, PDF author fields), patches LaTeX for pdf.js compatibility, and leaves `main` untouched. Triggers: "make an anonymous branch", "anonymize my repo for X submission", "set up anonymous.4open.science",
development
Translate math (formulas, estimators, algorithms) into code so the implementation faithfully matches what the source actually specifies. Use when writing code from a formula, reviewing an LLM-generated implementation of a formula, debugging a numerical mismatch with a paper, designing a new metric/estimator, or refactoring an existing math-heavy computation. Especially load-bearing whenever aggregation operators (sums, means, expectations, products, geometric means) appear over indices that can be reordered, or whenever the same English label can refer to multiple non-equivalent estimators (e.g. ratio-of-means vs mean-of-ratios, micro-average vs macro-average, sample-weighted vs unweighted). Prevents the failure mode where a code path silently implements the wrong estimator under the same name as the intended one.
development
Use when the user asks to review, find, summarize, or check Claude Code chat transcripts from a past date or time range ("review my chats from May 1st", "what was I working on yesterday", "any unfinished sessions this week"). Reads transcripts under `~/.claude/projects/`, handles local-time vs UTC correctly so late-evening sessions don't get dropped, and flags chats whose last assistant turn looks like an unanswered question.