533 skills · sorted by relevance
Extract text and tables from PDFs, fill form fields with supplied data, and merge documents. Includes a pdfplumber text extraction example and scripts for inspecting form fields and extracting text.
Turn a vague idea into requirements ready for planning or implementation through focused, one-question-at-a-time interviews. Clarify intent, scope, constraints, success criteria, exclusions, and decision authority, while tracking ambiguity and checking assumptions against available project evidence.
Turn videos, audio, PDFs, books, screenshots, and GitHub repositories into knowledge pages with summaries and highlights. Preserve original files, extract people and companies, and connect the material to their pages and timelines for later reference.
Convert attached office documents, EPUB, CSV, and text-based PDFs into local Markdown using Firecrawl AnyDoc CLI. Files stay inside the agent container, producing readable text for review without uploading documents to an external parsing service.
Equip NanoClaw agents to convert attached office documents into Markdown locally using Firecrawl AnyDoc. Agents can read Word, PowerPoint, Excel, and text-based PDF files without uploading them to an external parsing service.
Analyzes supplied books, articles, PDFs, and document sets by separating claims, evidence, assumptions, and objections. Produces argument maps and traceable evidence records, with reading modes that also support whole-book understanding, explanation practice, and recall.
Retrieve and analyze Screenpipe recording engine and desktop app logs to investigate errors or events at a specific time. Get timestamped findings, recurring error patterns, possible causes, suggested fixes, and indications of service status.
Convert office documents, spreadsheets, presentations, ebooks, and text-based PDFs into GitHub-Flavored Markdown, a plain-text format supporting tables. Make otherwise unreadable source files available for an agent to read and use in a task.
Prepare a structured JSON handoff for feature work, bringing together requirements, design decisions, key user journeys, tests, demo recordings, and pull request status. Clearly distinguish completed work from missing validation, publication steps, and other remaining tasks.
Address trusted human reviewers’ change requests on an existing Otto pull request. It guides fixes on the same branch, verification, replies with supporting evidence, and requests for another review before handing over the results.
Run Polly AI Review and Open Code Review repeatedly on a pull request. Track each finding, fix relevant issues, document justified dismissals, and verify that review evidence and recorded decisions cover the latest commit.
Explore a development idea through probing questions before committing to a plan. The skill can initiate research when needed and route the resulting ideas into GSD notes, tasks, research questions, requirements, or development phases.
Prepare for being called on in law class with likely questions about assigned cases, tailored to the professor’s tendencies. Practice answering through guided follow-up questions, then receive a summary of strengths, gaps, and points to reread.
Check PDF page counts, document details, and required text using command-line tools. This skill provides a verification workflow for environments without Python PDF libraries, including text extraction from selected pages and searches for expected sections.
Recover readable text from PDFs when read_file or Python extraction fails. Use pdftotext, a command-line text extractor, with options to preserve layout, specify character encoding, or save extracted content to a file.
Extract text from existing PDFs and assemble it into a new PDF report using command-line tools. Choose an available conversion method, combine source content, and check the resulting file’s pages and included text.
Provides fallback methods for extracting PDF text when the usual file reader fails or returns incomplete content. Uses command-line tools or Python libraries to retrieve text, preserve spacing, inspect metadata, and extract tables.
Extract text from PDFs when read_file fails or returns unreadable data. Use dedicated command-line tools or Python libraries to retrieve text and tables, preserve spacing where possible, inspect document properties, and validate the extracted content.
Create PDF reports from existing PDFs using command-line tools. The workflow checks source files, extracts text, organizes report sections, and generates or merges PDFs, with alternative output methods depending on the tools available.
Extract text from downloaded PDFs by checking for invalid files, trying three extraction tools in sequence, and validating the results. This workflow helps identify download errors, empty output, and encoding problems during document retrieval.
Extract PDF text when read_file returns unreadable binary content or little usable output. Try pdftotext with layout preservation, then use pdfplumber as an alternative when the command is unavailable or produces insufficient text.
Download PDFs or process local files, extract their text, and turn processed data into structured PDF reports with ReportLab. Includes alternative extraction methods and text output when PDF generation fails.
Extract readable text from PDFs with pdftotext when read_file returns garbled or binary content. Choose page ranges, preserve text layout where needed, and send the extracted content to standard output or a text file for further processing.
Download PDFs from web URLs or process local files, verify their format, and extract text with pdftotext. If extraction fails or looks poor, try PyMuPDF, check the results, and document any remaining source limitations.