Skip to content
cccskills
FreePublished on GitHub

codexkit-cx-qbr-preparer

Prepare customer or executive business reviews with outcome tracking, adoption health, ROI narrative, risks, commitments, and next-quarter plan using customer success and CX frameworks. Use when teams need QBRs, success plans, churn-risk conversations, or executive account reviews. Do not use for generic slide beautification or cold outreach prospecting.

The English summary is being prepared. Showing the original description.

See how to install

Files included (2)

  • SKILL.md3.1 KB
  • agents/openai.yaml182 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

CX QBR Preparer

Purpose

Build a review pack that turns account data into a value and renewal conversation.

When to use

  • A customer QBR or executive account review is coming up.
  • A team needs a structured success-plan update.
  • An account shows renewal or adoption risk and needs a focused conversation.

When not to use

  • The task is only to polish slide visuals.
  • The request is for prospecting or pre-sales outreach.

Inputs

  • customer goals, stakeholders, and prior commitments
  • adoption, usage, support, and ROI signals
  • open risks, blockers, roadmap relevance, and renewal context
  • audience and meeting objective

Procedure

  1. Start from the customer's goals, not your product features.
  2. Summarize what was committed last period and what actually happened.
  3. Quantify adoption health and value where evidence exists.
  4. Surface risks, open issues, and trust-sensitive misses honestly.
  5. Build the next-quarter success plan with mutual commitments.
  6. End with the decisions or asks needed from both sides.

Output

  • QBR agenda and story arc
  • results against commitments
  • adoption and ROI narrative
  • risk and open-issue summary
  • next-quarter plan with owners and dates

Definition of done

  • The review is anchored in customer outcomes.
  • Risks and misses are visible, not buried.
  • The next-quarter plan has mutual commitments and follow-up actions.

Examples

  • "Prepare a QBR for this enterprise customer using usage, support, and renewal notes."
  • "Turn our account health data into an executive review pack with risks and next-quarter commitments."

Quality Criteria

  • Data sources and assumptions are explicitly stated
  • Calculations are reproducible from provided inputs
  • Visualizations or tables have clear labels, units, and time ranges
  • Caveats and confidence levels are documented for estimates

Verification (4C)

CheckQuestion
CorrectnessAre formulas, aggregations, and statistical methods applied correctly?
CompletenessDoes the analysis cover all requested metrics and time ranges?
Context-fitAre the chosen metrics relevant to the business question being answered?
ConsequenceIf this data were used for a decision today, what blind spots remain?

Edge Cases

  • Missing or incomplete data — Document gaps and their potential impact on conclusions. Provide ranges instead of point estimates.
  • Outliers skewing results — Report with and without outliers. Document the decision to include or exclude.
  • Changing data definitions mid-period — Split analysis at the change boundary and note the schema difference.

Changelog

  • v1.0.0 — Initial release

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Design rigorous A/B test plans with hypothesis, sample size calculation, Minimum Detectable Effect (MDE), randomization strategy, and decision rules. Includes guardrail metrics and rollout playbook. Use when planning product experiments, conversion optimization, or data-driven feature decisions.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

Review REST and GraphQL API designs for consistency, usability, and best practices. Covers naming conventions, versioning strategy, error format, pagination, authentication patterns, and breaking change detection. Use when reviewing API specs, designing new APIs, or auditing existing endpoints.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

Write Architecture Decision Records (ADRs) following the Michael Nygard format. Captures context, options considered, decision rationale, and consequences. Use when making technology choices, framework selections, or any architectural decision that future developers need to understand.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

Assess organizational readiness for financial audits (internal or external). Map assertions to account balances, check evidence completeness, score readiness using a Red/Amber/Green framework, and generate a remediation timeline. Aligned with SOX, IFRS, and GAAP audit standards. Use before scheduled audits or when preparing for first-time compliance.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

Design safe recurring Codex automations with clear prompts, outputs, schedules, and gating rules.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

Refine Product Backlog Items to meet INVEST criteria. Write User Stories with Acceptance Criteria in Given/When/Then format, estimate with Story Points, and flag dependencies. Use before sprint planning when backlog items need grooming. Do not use to prioritize the backlog — that is the Product Owner's decision.

The English summary is being prepared. Showing the original description.

hoavdc/CodexKit25Updated Oct 11, 2026

See all skills by hoavdc

Report a problem with this skill