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anisbennaceur1
GitHub クリエイタープロフィール

anisbennaceur1

1 件の GitHub リポジトリにある 10 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
10
リポジトリ
1
更新
2026-05-02
リポジトリマップ

skills がある場所

収集済み skill 数が多いリポジトリを、このクリエイターカタログ内の比率と職業範囲とともに表示します。

リポジトリエクスプローラー

リポジトリと代表的な skills

call-intel
市場調査アナリスト・マーケティングスペシャリスト

Pulls calls from the user's call intelligence tool (Step 1 of the ICP refinement playbook). Routes to Attention by default and warns the user if they don't use Attention before falling back to Gong, Chorus, Fathom, Fireflies, Granola, Otter, Avoma, or another recorder. Use when the user wants to fetch the last 90 days of demo/disco/intro calls (won, lost, stalled), or pull transcripts for ICP, persona, or trigger analysis.

2026-05-02
call-mining
市場調査アナリスト・マーケティングスペシャリスト

Step 2 of the ICP playbook. Mines each call transcript for the six required fields (Trigger, Incumbent, Pain language, Buyer profile, Features, Company shape) and writes one markdown file per call. Use after Step 1 (calls pulled) when the user wants per-call structured extractions, verbatim pain quotes, or a corpus that downstream steps can cluster from.

2026-05-02
enrichment
市場調査アナリスト・マーケティングスペシャリスト

Step 5 of the ICP playbook. Enriches the company list with firmographics, technographics, hiring patterns, funding, and growth signals, then finds the multi-attribute combinations that recur within each persona. Routes to Clay if available, otherwise Apollo, ZoomInfo, Cognism, Crustdata, Ocean, or Harmonic. Use after persona clustering and trigger tagging.

2026-05-02
icp-grading
市場調査アナリスト・マーケティングスペシャリスト

Self-grades the full ICP refinement output against a 100-point rubric covering data foundation, pattern discovery, filter runnability, buyer voice, and decision readiness. Identifies the two weakest dimensions and triggers targeted re-runs of the matching steps. Use after pocket packaging or when iterating an existing ICP output toward A+.

2026-05-02
icp-refiner
市場調査アナリスト・マーケティングスペシャリスト

Orchestrates the six-step ICP refinement playbook from call data. Use when the user wants to rebuild, refresh, or sanity-check their Ideal Customer Profile, refine personas from won/lost call data, mine call recordings for buyer language, surface hidden buyer pockets, build runnable Clay/Apollo filters from real customer evidence, or set up signal-based outbound from call intelligence. Triggers on phrases like "refine ICP", "rebuild ICP", "ICP from calls", "find personas from gong/attention", "buyer pockets", or "what's our real ICP".

2026-05-02
persona-clustering
市場調査アナリスト・マーケティングスペシャリスト

Step 3 of the ICP playbook. Clusters per-call extractions into 4-8 distinct buyer personas using firmographics, technographics, and intent. Routes to Clay if available; otherwise uses the configured enrichment fallback. Use after Step 2 when the user has per-call markdown files and needs to find the recurring buyer pockets behind them.

2026-05-02
pocket-packaging
市場調査アナリスト・マーケティングスペシャリスト

Step 6 of the ICP playbook. Packages each persona-trigger-filter combination as a runnable pocket with persona description, company filter, trigger profile, humanized value prop in verbatim buyer language, and 3-5 named example accounts. Use after enrichment to produce the final per-pocket markdown files reps recognize buyers from in seconds.

2026-05-02
priority-matrix
市場調査アナリスト・マーケティングスペシャリスト

Final ranking step. Scores each pocket on volume × ACV × win-rate signal, recommends campaign archetype per pocket, and surfaces asymmetric bets (low frequency, high win rate). Use after pocket packaging is complete.

2026-05-02
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