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buyer-eval-skill

von salespeak-ai · salespeak-ai/buyer-eval-skill

B2B vendor evaluation skill — domain-expert questions, evidence-based scoring, and structured vendor interviews.

buyer-eval-skill makes Claude your B2B procurement lead: it asks domain-expert questions of the vendor (or their AI agent), records evidence against your evaluation rubric, scores each criterion, and produces a comparison matrix when you're evaluating multiple vendors. Reduces the time from 'let's look at vendors' to 'here's my recommendation with receipts'.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

buyer-eval-skill.replay ▶ bereit
0/0

Installation

Repository des Autors · Offizielle Dokumentation zu Claude Skills

Anwendungsfälle

Praxisnahe Nutzung: buyer-eval-skill

How to evaluate three SaaS vendors against your requirements

👤 Buyers, RevOps, procurement leads ⏱ ~120 min intermediate

Wann einsetzen: You've shortlisted 3 vendors and need to pick one defensibly.

Ablauf
  1. Define the rubric
    We're buying a customer support platform. Propose a weighted rubric (feature depth, integrations, price, security, support).✓ Kopiert
    → Weighted criteria with rationale
  2. Interview each vendor
    Use the skill's question bank to interview vendor A. Their docs / AI agent is at <url>. Record evidence per criterion.✓ Kopiert
    → Per-criterion evidence snippets with sources
  3. Score and compare
    Score all three and produce a comparison matrix with a recommendation.✓ Kopiert
    → Matrix + recommendation + named risks

Ergebnis: A defensible vendor pick with evidence, not vibes.

Fallstricke
  • Rubric favors the vendor you already like — Lock the rubric before seeing demos
  • Evidence is just vendor marketing claims — Weight third-party sources (docs, G2, case studies) over marketing
Kombinieren mit: filesystem

Compare RFP responses against your requirements

👤 Procurement teams drowning in RFP responses ⏱ ~90 min intermediate

Wann einsetzen: You sent an RFP, got 5 responses, and need to rank them.

Ablauf
  1. Load the responses
    Here are 5 RFP response PDFs in rfp/. Extract answers per requirement.✓ Kopiert
    → Per-requirement matrix
  2. Flag gaps and fluff
    Where did a vendor answer the wrong question or punt? Flag fluff.✓ Kopiert
    → Honest read of each response
  3. Rank
    Rank the responses and write a short memo for the evaluation committee.✓ Kopiert
    → Ranked memo

Ergebnis: A fair, fast RFP review.

Fallstricke
  • Rewarding the best-written response over the best fit — Score on substance; penalize fluff

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

buyer-eval-skill + filesystem

Read PDFs/docs from a local folder during evaluation

Read rfp/responses/ and extract answers per requirement.✓ Kopiert
buyer-eval-skill + google-ai-mode-skill

Cross-check vendor claims against public info

For each vendor claim that isn't in their docs, run a quick web check.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
rubric-design domain + must-haves Start of any evaluation 0
vendor-interview vendor source (docs/AI agent) Per vendor 0
scoring-and-matrix evidence per vendor + rubric After interviews 0
recommendation-memo matrix Final step 0

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
none beyond LLM
Tokens pro Aufruf
10–40k per full eval
Kosten in €
free
Tipp
Interview one vendor at a time — keeps context focused and evidence clean

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: none
Datenabfluss: only if the skill calls out to vendor agents you point it at

Fehlerbehebung

Häufige Fehler und Lösungen

Evidence is shallow

Point Claude at primary docs; fallback to published case studies

Scores feel gamed

Re-lock the rubric and re-run scoring blind to vendor identity if possible

Alternativen

buyer-eval-skill vs. andere

AlternativeWann stattdessenKompromiss
creative-director-skillEvaluating creative concepts, not B2B softwareDifferent judgment domain

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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