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Visual analyzer. Captures screenshots, tests mobile rendering, and analyzes above-the-fold content using Playwright.
Global finding verification agent. Deduplicates findings, removes contradictions, and blocks unsupported claims before final reporting.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
Technical SEO specialist. Analyzes crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals, and JavaScript rendering.
Sitemap architect. Validates XML sitemaps, generates new ones with industry templates, and enforces quality gates for location pages.
PRM Graph API MCP server.
Schema markup expert. Detects, validates, and generates Schema.org structured data in JSON-LD format.
Performance analyzer. Measures and evaluates Core Web Vitals and page load performance.
Use when reviewing a Tabularis pull request locally — checking code quality against the repo's own rules, verifying the PR's claims, running its tests on the correct branch, and preparing real test data plus a manual test plan for the human. Use when the user says 'review PR #N', 'lass uns PR reviewen', 'check this PR', or wants to test a PR with real data before merging.
GitHub API data collector and archival specialist for repository SEO telemetry.
GitHub search benchmark specialist. Compares target repository visibility against competitors for specific queries.
Use when creating or updating a Tabularis database driver plugin in Rust. Covers modern manifest fields, JSON-RPC over stdio, modular plugin layout, MySQL-level feature coverage targets, optional UI extensions, and validation against Tabularis repo rules.
GitHub SEO strategist. Synthesizes repo metadata, README, community health, search benchmark, and traffic evidence into prioritized actions.
Content quality reviewer. Evaluates E-E-A-T signals, readability, content depth, AI citation readiness, and thin content detection.
Extract a single frame from a local video at the first frame, a timestamp, or a zero-based frame index using FFmpeg.
Draft flexible daily or weekly schedules around a user's priorities, availability, energy patterns, and fixed commitments. Use for day planning, deadline reverse-planning, focus protection, or a time audit.
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
Recommend practical study strategies matched to the material, learning goal, assessment, time, and learner constraints. Use for revision planning, homework routines, independent study, replacing ineffective habits, or adapting recall, spacing, explanation, and practice activities.
Shape pitches, brand stories, presentations, and creative writing with narrative frameworks such as the Hero's Journey, Story Spine, and Freytag's Pyramid. Use when a user wants to structure, critique, or strengthen a story.
Survey open CodeWhale PRs and triage each for mergeability and disposition against the real landing branch.
Generate low-stakes retrieval-practice questions with grounded answer notes and implementation guidance. Use for quiz starters, revision activities, delayed recall, misconception checks, or adapting recall difficulty.
Turn meeting notes or transcripts into factual summaries, decisions, questions, and action items. Use when a user wants a concise recap or needs explicit owners and deadlines extracted without filling in missing details.
Use when filing a new CodeWhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
Draft or reformat copy-paste-ready LinkedIn posts from user-provided ideas and source material. Use for professional posts, concise thought-leadership drafts, resource announcements, story-led posts, carousel text, or optional Unicode emphasis with an accessible plain-text alternative.
Prepare a concise exam review from study materials and a syllabus supplied by the user. Use for topic summaries, recall questions, MCQ cues, and time-limited revision plans that must stay grounded in those materials.
Harvest one community PR into a release branch with authorship and credit preserved, verified green, and a warm thank-you.
Create or revise software documentation using the Diátaxis distinction between tutorials, how-to guides, reference, and explanation. Use for README sections, product and API documentation, operational guides, onboarding material, or restructuring an existing documentation set.
Compare options with weighted scoring, pros and cons, pre-mortems, opportunity costs, and ICE prioritization. Use when a user wants to reason through a choice, expose assumptions, or rank alternatives.
Triage N GitHub issues into a coverage matrix: fetch each, check current code, classify already-done/quick-fix/design/defer with cited evidence.
Generate concise daily standups, reflection prompts, and weekly retrospectives for individuals or teams. Use for planning a day, surfacing blockers, reviewing user-provided entries, or drafting a check-in without assuming prior history.
Evaluate factual claims in AI-generated text and teach a lightweight verification habit. Use when a learner wants to fact-check an AI answer, identify uncertainty, choose appropriate independent sources, or practise critical AI literacy.
Close resolved CodeWhale issues only after verifying the landed commit/behavior, with a positive crediting comment; never from title alone.
Use to assign GitHub issues to a milestone and/or owners in bulk, verifying each.
Triage a Playwright bug report by reproducing it from the information in the issue. Use when asked to triage, reproduce, or verify a GitHub issue (a new bug report, or an existing report with a new comment).
Use before claiming CodeWhale release work is done: run the full gate sweep and list the manual QA targets.
Query Playwright CI test results from the aggregated DuckDB database. Answers questions about flaky tests, failure rates, slow tests, and per-run/SHA/PR results without hunting through GitHub artifacts.
Use the official MongoDB Skills with your favorite coding agent to build faster.
Use the official MongoDB Skills with your favorite coding agent to build faster.
Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Use the official MongoDB Skills with your favorite coding agent to build faster.
Use when asked to brainstorm, evaluate whether an idea is worth building, run office hours, or think through a new product idea or design direction before any code is written.
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.
Use when asked to debug, fix a bug, investigate an error, or do root cause analysis, and when users report errors, stack traces, unexpected behavior, or say something stopped working.
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling connect()), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
Use when asked to review a plan, challenge a proposal, run a CEO review, poke holes in an approach, think bigger about scope, or decide whether to expand or reduce the plan.