Skip to main content
Manusで任意のスキルを実行
ワンクリックで
GitHub リポジトリ

peec-ai-skills

peec-ai-skills には AntonioBlago から収集した 9 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
9
Stars
8
更新
2026-04-24
Forks
0
職業カバレッジ
3 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

peec-agent
プロジェクト管理専門家

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.

2026-04-24
peec-checkup
市場調査アナリスト・マーケティングスペシャリスト

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 writes to Peec or to setup_state.json. Use when the user asks "Wo stehe ich?", "Wie ist mein Status?", "Was sind die Verbesserungspotenziale?", "Mein Setup checken", or runs /peec-checkup.

2026-04-24
peec-cluster
市場調査アナリスト・マーケティングスペシャリスト

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.

2026-04-24
peec-content-intel
市場調査アナリスト・マーケティングスペシャリスト

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 content wins specific AI prompts.

2026-04-24
peec-learn
ソフトウェア開発者

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) worth remembering.

2026-04-24
peec-outreach
市場調査アナリスト・マーケティングスペシャリスト

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.

2026-04-24
peec-report
市場調査アナリスト・マーケティングスペシャリスト

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.

2026-04-24
peec-setup
市場調査アナリスト・マーケティングスペシャリスト

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.

2026-04-24
peec-start
ソフトウェア開発者

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.

2026-04-24