Claude Skills by AntonioBlago

Orchestrator for the 5 Peec AI growth skills (peec-setup, peec-content-intel, peec-cluster, peec-outreach, peec-report). Reads project state and last learnings, detects the single highest-leverage gap, and returns exactly one next-move decision with a measurable 4-week metric — then hands off to the skill that executes it. Use when multiple priorities compete and you need one call, not a dashboard.

Read-only health check for an existing Peec AI project. In one pass produces (1) a setup-quality audit (red flags from the structural setup — wrong competitors, funnel gaps, taxonomy issues), (2) a brand-performance snapshot (visibility per stage / engine, hero prompts winning vs losing, source diversity, competitor delta), and (3) a priority-ranked list of 5–8 concrete improvements drawn from Peec's get_actions + URL gap data. Works from day 1 of Peec data — no 4-week history needed. Never w...

Turns a Peec AI prompt set into strategic content zones — not keyword groups. Groups prompts by buyer intent + funnel stage + visibility gap + shared demand signals, producing 4–8 "content zones" with the competitive weakness to attack, supporting evidence (forum quotes, SERP patterns), and a rank-ordered next-move per zone. Use when a Peec project has 20+ prompts and needs a topic architecture — not a flat content calendar. Output is a strategic map, not a list.

Content-intelligence workflow that turns a Peec AI visibility gap into a publish-ready content brief. Combines Peec (prompt visibility, source URLs, scraped chat responses), Visibly AI (backlinks, onpage, keywords, GSC), and Reddit / forum mining. Uses Query Fan-Out to expand one prompt into 5–8 sub-queries and scores competitor URLs for attackability. Use when the user wants to find content opportunities, evaluate competitor content, build a content brief from Peec data, or discover what con...

Cross-project pattern layer for the Peec AI growth loop. After any Peec skill completes (or after peec-report closes a cycle), extract 1–3 concrete patterns from the output and persist them to SkillMind via mcp__skillmind__add_pattern / remember. On the next orchestrator run, recall matching patterns and pass them in as priors — so lessons learned on project A inform decisions on project B. Use when a Peec skill has produced an artifact (brief, zone map, outreach log, decision, learnings.json...

Turns Peec AI's get_actions recommendations + forum/UGC discovery into a prioritized outreach pipeline with pitch templates, contact extraction, status tracking, and success measurement. Goes beyond "here is a list of domains" — produces ready-to-send pitches, covers Reddit / Gutefrage / editorial / owned quadrants, and tracks citation gains week over week. Use when a Peec project has active competitor gaps and needs systematic off-site work, not just content production.

Weekly / monthly closed-loop reporter for Peec AI visibility growth. Measures what moved (visibility per prompt, cluster, zone) against what was invested (content published, pitches sent, forum answers), detects winning patterns, and outputs a ranked next-actions list — not a dashboard. Closes the feedback loop for the growth agent. Use weekly for active projects or monthly for maintenance-mode.

End-to-end Peec AI project setup — competitor discovery from real AI chats, customer-journey prompt design across Awareness → Consideration → Decision → Retention, topic/tag taxonomy, GSC-based keyword mapping, forum pain-point mining (Reddit, Gutefrage, t3n, OMR), and a categorized executable backlog. Use when the user wants to set up, restructure, or audit a Peec AI project for their own brand or a client. 9 phases, full funnel coverage, real buyer language.

Single-entry slash command for the Peec AI growth loop. Detects whether the current working directory has a setup_state.json, what state it's in (missing / fresh / stale / very stale / brownfield-importable), and hands off to the right skill — /peec-setup (full or import or audit) or /peec-agent. Use when the user says "/peec-start", "what should I do for Peec", "is my setup done", or any opening question about a Peec AI project where the next move is unclear.

Draft a tailored, phased SEO consulting offer. Use when the user asks to write a proposal, Angebot, statement of work, or retainer for a prospect — turning analysis data plus client context (budget, team, decision process, tools) into a structured, priced, management-ready offer.

Build a clean, brand-compliant PDF from an analysis or offer. Use when the user asks to generate, render, or export a client-ready PDF presentation or document with their corporate identity — cover page, header/footer, section bars, tables, ROI boxes.

Quantify the traffic, lead, and ROI upside of an SEO engagement. Use when the user asks how much organic traffic or revenue is realistically achievable, wants a 12-month forecast, an SEA-equivalent value, a click-delta projection, or a business case for SEO spend. Applies the intent-aware Keyword Study 2026 CTR curve — never idealised textbook CTRs.

Map a client domain's current organic visibility. Use when the user asks to analyse where a site ranks, audit its Search Console performance, cross-reference target keywords against live GSC data, find quick wins, or benchmark against competitors. Pulls real GSC/keyword data via the Visibly AI MCP rather than guessing.