Search: "word"

Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

Builds and applies fuzzing dictionaries so a fuzzer can produce the keywords, magic bytes, and tokens a target expects. Covers extracting tokens from source, headers, binaries, and specifications, dictionary syntax, and wiring one into libFuzzer or AFL++. Use when fuzzing a parser, protocol, or file format, when coverage stalls at input validation, or when a target compares against fixed strings.

Use when testing keyword categorization

Use when testing keyword categorization

Use when testing keyword categorization

Use when testing the word golden build

Use when testing keyword categorization

A personal decision engine with 16 independent AI agents, checks and balances, and swappable cultural themes. Covers relationships, finance, learning, execution, risk control, health, and infrastructure. Use when facing complex personal decisions (career change, investment, entrepreneurship, relocation, life planning), needing multi-angle analysis, periodic reviews, or systematic life management. Trigger keywords: analyze, plan, multi-angle, review, start session, debate. Even without explicit keywords, suggest this skill whenever multi-dimensional thinking or major decisions are involved. Not for simple Q&A, translation, or single-step tasks.

Use this skill when an operator wants to record, review, or change a client's affiliate strategy and KPI targets so reports can be judged against the client's own plan. Capture is conversational: the operator pastes an existing brief, deck, or email, or just describes the client in their own words, and this skill drafts the strategy and KPI files, reads them back in plain English, and saves them only after the operator confirms. Thereafter it edits them through chat. Trigger on: "set up a strategy for Acme", "record Acme's KPIs", "onboard a new client", "what are we aiming for with Acme?", "raise Acme's Q3 revenue target to 400k", "Acme prefers premium partners, no coupon sites", "save this client brief".

How to improve an existing ad account with Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks to cut wasted spend, add negative keywords, reallocate or raise budgets, change a bid strategy, fix placements or audiences, pause what is not working, or asks "what should I do about this account". It gives the order to work in, which diagnosis tool feeds which change, how to size a change, how to phrase the proposal, and what to leave alone.