📦

dbs-jtbd

Name: dbs-jtbd
Author: dontbesilent2025

Inhaltsrevision r1 Sicher ⚙️ Externe Befehle

Identify Customer Jobs and Switching Motivations

Requests for features or deliverables can hide the progress customers actually need. This skill uses Jobs to Be Done to clarify context, switching motivations, selection criteria, and next actions.

Unterstützt: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

Review the Skillstore skill "dbs-jtbd" from https://skillstore.io/skills/dontbesilent2025-dbs-jtbd.md and its manifest at https://skillstore.io/api/skills/dontbesilent2025-dbs-jtbd/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/dontbesilent2025-dbs-jtbd.md Signiertes manifest GET /api/skills/dontbesilent2025-dbs-jtbd/manifest Signiertes lockfile GET /api/skills/dontbesilent2025-dbs-jtbd/lockfile

Testen

„dbs-jtbd“ wird verwendet. Customers request a dashboard because preparing weekly updates requires copying figures from several spreadsheets.

Erwartetes Ergebnis:

Job hypothesis: Before the weekly meeting, consolidate figures into a reliable update so the team can make decisions.
Functional job: Prepare the update. Emotional job hypothesis: Reduce worry about missing figures. Social job hypothesis: Appear prepared.
Selection criteria: Traceable figures are required; reduced manual copying is preferred; acceptable setup effort needs confirmation.
Next step: Review one recent update process and test whether a consolidated report removes the main bottleneck.

„dbs-jtbd“ wird verwendet. Rewrite my request for a launch article. We need existing customers to understand the changed workflow before Monday.

Erwartetes Ergebnis:

Job statement: When a workflow changes, customers need to understand the differences so they can continue their work on Monday.
Prompt: Draft a customer-facing launch article using [approved change notes]. Explain changed steps and preserve confirmed details.
Acceptance criteria: Identify affected users, describe each changed step, and distinguish confirmed information from missing details.
To confirm: Which customers are affected, and which workflow changes have been approved?

Sicherheitsaudit

Sicher

v1 • 17.10.2026 Versionsbericht öffnen

All nine static findings are false positives: eight concern Markdown backticks, and the entropy warning concerns readable Chinese text. No evidence found of executable commands, concealed payloads, exfiltration, or instructions attempting to override the security review.

Gescannte Dateien

186

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Risikofaktoren

⚙️ Externe Befehle (8)

SKILL.md:20-22 SKILL.md:22-26 SKILL.md:26 SKILL.md:111-137 SKILL.md:137-152 SKILL.md:152-159 SKILL.md:159-169 SKILL.md:169

Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.

Geprüft von: codex

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

https://skillstore.io/skills/dontbesilent2025-dbs-jtbd/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown-Badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/dontbesilent2025-dbs-jtbd/security.svg)](https://skillstore.io/skills/dontbesilent2025-dbs-jtbd?utm_source=security_passport_badge)

HTML-Badge

<a href="https://skillstore.io/skills/dontbesilent2025-dbs-jtbd?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dontbesilent2025-dbs-jtbd/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Einbettungskarte

<iframe src="https://skillstore.io/embed/skills/dontbesilent2025-dbs-jtbd.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

dontbesilent2025. (2026). dbs-jtbd security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dontbesilent2025-dbs-jtbd/audits/1

BibTeX-Zitat

@techreport{dontbesilent2025-dontbesilent2025-dbs-jtbd-2026,
  author = {dontbesilent2025},
  title = {dbs-jtbd security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dontbesilent2025-dbs-jtbd/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "dbs-jtbd security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "dontbesilent2025"
date-released: "2026-10-17"
url: "https://skillstore.io/skills/dontbesilent2025-dbs-jtbd/audits/1"
identifiers:
  - type: other
    value: "skillstore:dontbesilent2025-dbs-jtbd:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

Clarify product adoption barriers

Turn customer notes into job hypotheses, switching forces, and prioritized selection criteria before proposing product changes.

Align content with customer progress

Connect audience situations, failed alternatives, desired outcomes, and credible evidence to a focused content brief.

Improve AI task requests

Rewrite a proposed deliverable around the underlying job, available materials, boundaries, and observable acceptance criteria.

Diese Prompts ausprobieren

Draft a first job statement

Use dbs-jtbd for this request: [request]. Identify the situation, desired progress, and outcome. Mark missing evidence as hypotheses.

Analyze switching motivations

Analyze these customer notes: [notes]. Identify functional, emotional, and social jobs. Explain push, pull, anxiety, and habit. Separate facts from assumptions.

Compare alternatives against criteria

Use JTBD to compare [alternatives] for [situation]. Derive three to five observable selection criteria. Prioritize requirements and tradeoffs. Propose one low-cost validation step.

Redesign an AI collaboration prompt

Review [original prompt] against [context and evidence]. Identify solution-job mismatches. Rewrite with constraints, deliverables, and acceptance criteria. State assumptions and one validation step.

Bewährte Praktiken

Provide a concrete recent situation, the current alternative, and evidence of what failed.
Keep facts, inferred motivations, and unverified hypotheses clearly separated.
Use observable selection criteria and test the most consequential assumption with a low-cost action.

Vermeiden

Treating demographics, industry labels, or requested features as sufficient evidence of a customer job.
Inventing interview findings, behavior data, or motivations to complete the framework.
Forcing every request into JTBD or asking repeated broad questions when existing evidence is sufficient.

Häufig gestellte Fragen

What does JTBD mean here?

Jobs to Be Done describes the progress someone seeks in a specific situation and why they choose one solution over another.

Which assistants can use this skill?

The report lists Claude, Codex, and Claude Code as supported tools. The package provides written guidance rather than executable integrations.

Does it conduct customer research automatically?

No. It analyzes supplied materials and proposes hypotheses or validation steps. It does not collect interviews or behavioral analytics.

What happens when information is missing?

It labels uncertain conclusions as hypotheses and asks one focused question only when missing information would change the recommendation.

Can it help rewrite AI prompts?

Yes. It connects the prompt to the underlying job and adds context, materials, boundaries, deliverables, and acceptance criteria.

Should I use it for every task?

No. Use it for customer choices, motivations, alternatives, or explicit JTBD prompt work. Ordinary acceptance-criteria clarification does not require this framework.