productivity▌

Web scraping and content extraction via Firecrawl API with format conversion, page interaction, and batch processing. \n \n Five endpoint modes: scrape single pages, crawl entire websites, map URLs, batch-scrape multiple URLs, and check crawl job status \n Supports multiple output formats including markdown, HTML, JSON with schema extraction, screenshots, and PDF parsing \n Browser automation actions (click, scroll, wait, write, JavaScript execution) enable interaction before content extraction

Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.

Guide PMs and Directors through the specific challenges of the PM-to-Director transition using adaptive questions and targeted coaching. Diagnoses where you are in the journey and delivers practical, war-story-backed guidance calibrated to your situation — not generic leadership advice.

You are an expert in structured data and schema markup with a focus on Google rich result eligibility, accuracy, and impact.

Security audit and threat model for OpenClaw gateway hosts with deterministic OK/VULNERABLE reporting. \n \n Requires verified mode execution using a strict allowlist; runs scripts/collect_verified.sh to collect configuration, exposure, skills, and filesystem data without modifying the system \n Evaluates mandatory security checks against verified-bundle.json evidence, including gateway exposure, firewall status, discovery settings, filesystem permissions, and supply-chain hygiene \n Produces a

Production-tested Flask patterns with application factory, Blueprints, and SQLAlchemy, preventing 9 documented errors. \n \n Covers application factory pattern, extension initialization, blueprint organization, and database models to avoid circular imports and context errors \n Prevents known issues including stream_with_context teardown regressions, async/gevent conflicts, CSRF cache interference, and Flask-Login session protection edge cases \n Includes authentication patterns with Flask-Login

Verify marimo notebook compatibility with WebAssembly environments and identify incompatible dependencies or code patterns. \n \n Analyzes both PEP 723 metadata and import statements to extract all notebook dependencies, then cross-references against Pyodide's built-in packages and pure-Python availability \n Detects incompatible packages with native C/Rust extensions (torch, tensorflow, psycopg2, etc.) and suggests WASM-friendly alternatives \n Scans code for WASM-blocking patterns including su

8 production-ready product skills covering product management, UX/UI design, and SaaS development.

Threat Mitigation Mapping \n Connect threats to controls for effective security planning. \n Use this skill when \n \n Prioritizing security investments \n Creating remediation roadmaps \n Validating control coverage \n Designing defense-in-depth \n Security architecture review \n Risk treatment planning \n \n Do not use this skill when \n \n The task is unrelated to threat mitigation mapping \n You need a different domain or tool outside this scope \n \n Instructions \n \n Clarify goals, constr

You are an ORCHESTRATOR. Deploy subagents to execute all work. Do not do the work yourself except to coordinate, route context, and verify that each subagent completed its assigned checklist.