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Learn how instructions, documents, tool results, and conversation history form an AI model’s context. Understand attention limits, why information in the middle can be missed, and how relevance and placement inform decisions about what to include.
Bevy 0.20 UI and world text: Text, Text2d, TextSpan, TextFont, TextColor, TextLayout, TextShadow, Text2dShadow. Use when a HUD node or a 2D nameplate shows a string. Keywords: Bevy, text, UI, Text, TextSpan, bevy_text, Text2d, TextFont.
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Fetch current library documentation with the ctx7 CLI to check API usage while coding. The skill also guides Context7 MCP setup, which connects documentation access to Claude Code, Cursor, or OpenCode, and covers login and authentication options.
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.
Automate available Alttext AI operations through Rube MCP and Composio. The skill discovers tools and required inputs, checks the service connection, and executes supported tasks while keeping related steps in the same session.
Automate available Alttext AI operations through Rube MCP and Composio. The skill discovers tools and required inputs, checks the service connection, and executes supported tasks while keeping related steps in the same session.
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 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.
Update context-mode from GitHub, rebuild and reinstall it, and configure hooks that connect it to the agent environment. Review the actual version and upgrade results in a checklist, then restart the session.
Extract readable PDF text when read_file returns binary or image data. Check the filetype parameter, run pdftotext, a command-line text extractor, and inspect output and errors, with temporary file output as an alternative.
Run context-mode diagnostics to check runtimes, hooks, full-text search support, plugin registration, and npm and marketplace versions. Results appear directly in the conversation with clear status labels, with a CLI fallback if the MCP call fails.
Check how much conversation capacity context-mode has saved during the current session. View token consumption, the context savings ratio, and a breakdown by tool in full tables, with one sentence highlighting the main savings figure.
Design how an AI agent edits its own working conversation history, choosing what to retain, rewrite, or remove. Covers safeguards, capacity monitoring, recovery after overflow, and the computing cost of changing earlier context.
Extract readable text from PDFs when ordinary file readers return garbled or binary content. The skill guides agents through detecting failed reads and using pdftotext, a command-line PDF text extractor, with layout-preserving options.
Extract text from local PDF files with pdftotext or PyMuPDF, a Python library for reading PDFs. Convert individual files or batches into text files that an agent can read for summarization, analysis, or further data extraction.
Explore the context-matic MCP server through an interactive tour. Discover available APIs, choose one, and review authentication, data structures, and example calls in your project's programming language, with guidance matched to the SDK version.
Extract text from local or downloaded PDFs using a sequence of tools. Try file reading, then pdftotext before a Python fallback, check readability, and document failures while clearly separating extracted content from knowledge-based additions.
Audit Claude Code agents, skills, rules, and MCP tool configurations to estimate how much space they consume in the model's context. Identifies oversized and overlapping components, then ranks recommendations by potential token savings.
Resume interrupted work by loading the latest state saved with /context-save. The skill prefers a save from the current branch, falls back to other branches, and supports handoffs between Conductor workspaces.
Turn approved mockups, design plans, or written descriptions into HTML and CSS using Pretext. Build dynamic layouts where text reflows and heights are calculated, choosing Pretext patterns suited to the design.
Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.
Guides users through removing a stored fact with Codewhale’s Context Lens memory controls. It identifies the intended fact, explains the forget action, and distinguishes confirmed deletion from an action that has not yet completed.
Manage the limited information an LLM can process at once. Use importance-based summaries, selective trimming, token counting, and content placement to plan what stays in context and address information loss during long conversations.
Extract readable text from PDFs when normal file reading returns garbled or unusable content. The workflow switches between extraction tools, checks the results, and includes optical character recognition for scanned pages when needed.