Results for “file-read”

Read, search, create, and edit notes in an Obsidian vault using file tools and resolved paths.

Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders.

Turn rough notes, workshop content, or prompt dumps into compliant, publish-ready SKILL.md files that pass validation and integrate with repo documentation.

Runs a plan file through the Codex CLI as an independent adversarial reviewer, then folds accepted findings back into the plan. Read-only sandbox; Codex never edits.

At the start of a session, reads the session baton file to restate the goal and next task, and opens any doc listed under "Read first" before confirming the next step with the user.

Saves all project context to _context/ files so future sessions can resume without re-reading the full SRS.

Repo housekeeping: sync READMEs to match current architecture, remove dead files (logs, screenshots, deprecated code, build artifacts), update npm/pip/cargo dependencies to latest. Use when asked to: "housekeep", "clean up repo", "update README", "update dependencies", "fix vulnerabilities", "remove dead code", "tidy.

Locates files by name and searches file contents using the fd and ripgrep command-line tools.

Answers questions about a codebase by searching and reading source files, then synthesizing answers with inline citations.

Automatically organizes files in a directory into a clean structure based on configurable rules — by file type, date, project, or priority — with support for duplicate detection, naming conventions, and archival strategies. Use when the user requests file organization or provides relevant inputs for this workflow.

Launches an RSVP speed reader to display text one word at a time with Spritz-style highlighting.

Organizes files into folders by type, size, or date, with preview, undo, and custom rule support.

Reads a Gmail message by ID and extracts its body or headers, with options for JSON output and HTML body.

Creates, reads, edits, and converts PowerPoint (.pptx) files, including extracting text, generating slide images, and applying design guidance.

Creates, reads, and edits PowerPoint (.pptx) files, including text extraction, visual inspection, and design guidance for polished slide decks.

Answers questions about a codebase by searching and reading source files, providing answers with inline citations and structured responses.

OI-3 spike harness — heavy consumer skill, BASELINE arm. Builds an incident post-mortem and sources the readability standard mid-workflow by reading a file directly, with NO Skill-tool call. Use only when explicitly invoked by the spike harness with a TRIAL_ID and data path.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv) with full formula support and professional formatting.

Guides users through an interactive interview to complete their .faf file and reach a 100% AI-readiness score, using Claude Code's AskUserQuestion tool.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv) using XML-level manipulation for zero format loss.

Use when the user mentions a daily note, asks to add a task to today's daily todos, or reads or writes any file under ~/Notes/Daily Notes/. Covers location, section structure, and what each section is used for.

Drives a real desktop GUI as a fallback when APIs, CLIs, file edits, and browser automation are unavailable, letting agents click, type, read the screen, and control apps across Windows, macOS, and Linux.

Routes writing tasks to the correct voice playbook by reading a voice selection authority file fresh on every call, classifying the task into one of 22 content types, and returning a load list with crossover budget and phrasebook section.

Score any piece of writing for AI-generation tells and produce a weighted 0-100 scorecard with flagged evidence and ranked fixes. Use this skill whenever the user asks "does this sound AI-written", "run this through the AI detector", "score this writing", "check this for AI tells", "would this pass as human", "humanize check", or wants any article, blog post, email, or copy audited for AI patterns before publishing. Also use it when the user pastes or points to text and asks how it reads, whether it's too "ChatGPT-ish", or wants a QA pass on generated content. Works on pasted text, files, and URLs.