Explorar skills

Google Ads Shopping / retail audit — product feed coverage, listing-group granularity, zero-impression products, bidding, top wasted spend

Create precision-targeted LinkedIn ad campaigns for specific ICP segments — translates CRM data to LinkedIn targeting

Crafts optimized, copy-ready prompts for any AI tool — LLMs, coding agents, image generators, workflow tools. Extracts intent, selects the right template, runs a diagnostic checklist, and delivers a token-efficient prompt. Accepts input in any language; English output by default. Use when writing, fixing, improving, or adapting a prompt for any AI tool.

Compacts the current conversation into a single self-contained handoff document under docs/handoffs/ so a fresh agent — a new session, a different AI tool, or another developer on a different machine — can resume the work by reading only that file. References committed artifacts (PRDs, plans, ADRs, issues, commits) by path or URL and inlines anything not yet pushed. Redacts secrets and PII. Re-run

Google Ads Search campaign audit — match types, quality score, negative keyword gaps, search terms, ad strength, RSA asset coverage

MITRE ATT&CK framework reference — tactics, techniques, and tool-to-TTP mappings for pentest documentation and detection rule writing

Build a complete Performance Max campaign from a brand URL — asset group copy, search themes, audience signals, image/video shot list, settings — ready to paste into Google Ads

Performance Max campaign audit — asset group strength, asset coverage, search themes, audience signals, brand exclusions, channel distribution

Guides structured design brainstorming — explores the codebase, asks clarifying questions, proposes multiple approaches with trade-offs, and writes an approved design doc to the project. Use before implementation to think through design decisions and avoid premature coding. Produces a persistent artifact that feeds into plan mode and TDD. For stakeholder-facing or acceptance-criteria-driven work,

Fetches and optimizes context from a JIRA issue for AI-assisted development. Searches assigned issues or fetches by key. Distills title, description, acceptance criteria, sprint context, and comments into a structured task description. Analyzes the codebase to surface missing criteria, scope, and risks. Optionally enriches the JIRA issue with a structured analysis comment, and for Complex-scope wo

SecLists path map, hashcat rules, CeWL usage, and custom wordlist generation for all attack categories

Active Directory attack reference — BloodHound Cypher queries, Kerberos attack decision tree, ACE/ACL abuse, ADCS ESC1-8, and AD misconfig checklist