Results for “find”

Initializes bug bounty hunt workspaces, logs vulnerability findings with severity and evidence, and enriches them throughout a session.

Search local markdown knowledge bases, notes, docs, and wikis with QMD. Use when users ask to find notes, retrieve documents, inspect a wiki, answer from indexed markdown, or set up QMD access.

Code review skill — auto-scopes from git changes, reads DOJO.md for project conventions, and produces structured findings with priority levels. Supports quick single-pass review and deep 3-agent parallel audit.

Read, write, edit, and format Excel files (.xlsx). Create spreadsheets, manipulate data, apply formatting, manage sheets, merge cells, find/replace, and export to CSV/JSON/Markdown. Use for any Excel file manipulation task.

Investigating bugs via root cause analysis, reproduction steps, and impact assessment. Investigation-only — finds why bugs occur and where to fix them, no code. Use when a bug needs RCA before a fix.

Systematically find and fix bugs using proven debugging techniques, tracing from symptoms to root cause, implementing fixes, and preventing regression.

Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more.

Find and own a defensible market position by testing positioning claims, running crawl-walk-run rollouts, and auditing competitor messaging.

Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

Conduct systematic literature reviews by searching multiple academic databases, synthesizing findings, and generating professionally formatted documents with verified citations.

Finds exploitable vulnerabilities in codebases through a structured multi-phase audit covering recon, hunting, validation, and reporting.

Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.

Finds all places matching a query within a radius using grid-based Google Places scanning, with options for ratings, reviews, and map export.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Runs a multi-perspective review of a pull request, including code quality, tests, and potential silent failures, then reports findings ranked by severity.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, producing a prioritized report with severity ratings and concrete fixes.

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Guide through a structured data analysis workflow: define the question, validate data quality, select the appropriate analytical method, and produce decision-ready findings with caveats.

Scans a codebase for deepening opportunities, presents them as a visual HTML report, then grills through the chosen one. Use when the user wants to improve codebase architecture or find refactoring opportunities.

Apply findings from a document-health-review report by updating, merging, splitting, moving, archiving, deleting, and repairing references for repository documents. Use when a user wants to execute approved document cleanup recommendations.

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Systematic research methodology for formulating problems, building evidence-based arguments, and communicating findings in academic contexts. For scholarly writing, thesis development, and knowledge contribution. NOT for creative writing, journalistic reporting, or business analytics.

Analyze complex systems through stocks, flows, and feedback loops to find high-leverage interventions. For organizational, environmental, social, and technical systems exhibiting circular causality. NOT for linear problems or simple cause-effect chains.

Finding and expanding keyword opportunities for free — mining Search Console queries for high-impression/low-position pages, expanding via Google Autocomplete, and snapshotting SERPs with web search; optional paid DataForSEO volume/difficulty data.

Find and fix vulnerabilities in code and dependencies with Snyk. Use when a user asks to scan for security vulnerabilities, audit npm packages, check Docker images for CVEs, or integrate security into CI/CD.

Find out why a coding-agent skill won't fire — grade each SKILL.md A–F on activation, simulate which skill a prompt triggers, and flag collisions where one silently shadows another.

Search Airbnb listings with prices, ratings, and direct links. No API key required. Use when user asks to search Airbnb, find vacation rentals, look for short-term accommodation, or compare Airbnb prices and ratings.

Reviews pull requests and local diffs against Google's eng-practices code review guide (design, complexity, tests, naming, comments, style, consistency, documentation, every-line, context) and emits a ranked, principle-tagged finding list with rich local diff rendering. Optional follow-up step posts selected findings as a GitHub PR review. Invoke when the user says "googly-eyes this PR", "review by the canon", "principled code review", "Google-style review", "review this CL", or pastes a PR URL and asks for a code review. 👀

Discovers and installs agent skills from the open ecosystem when users ask for help with specific tasks or express interest in extending capabilities.

Finds gaps between documented intent and actual implementation in codebases, catching bugs that generic scanners miss because they lack a model of intent.

Analyzes production code to find gaps in existing tests by reasoning about hypothetical mutations and checking whether tests would catch them.

Extracts YouTube influencer profiles including social links, subscriber counts, and channel stats via the BrowserAct API.

Coordinates multiple research agents to gather information on a topic across GitHub, HuggingFace, papers, competitors, and best practices, then compiles findings into a structured report.

Runs Semgrep static analysis to find bugs and security vulnerabilities, with guidance on installation, rule selection, custom rule writing, and CI/CD integration.

Audits product flows to find delight opportunities, then specifies micro-interactions, animations, and usability risk assessments that balance playful design with functional clarity.

Launches four parallel adversarial review agents covering security, scope, fidelity, and test gaps, then synthesizes findings into a ranked verdict for plans or feature branches.