anthropics/knowledge-work-plugins

quarterly-review

Generates a full QBR narrative — revenue trend, margin trend, customer health, top opportunities and risks — as a presentation-ready PDF or deck.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill quarterly-review

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

Run the quarterly business review. Pull financial, sales, and customer data for the quarter, synthesize it into a narrative, and produce a presentation-ready document.

Parse arguments:

  • --quarter (default: previous calendar quarter) — format YYYY-QN (e.g., 2026-Q1)
  • --save-to (default: files) — files (Google Drive / OneDrive), desktop, or both

Step 1 — Financial performance

Using the business-pulse skill in deep mode:

  1. Pull QuickBooks P&L for the quarter: revenue, COGS, gross margin, operating expenses, net margin.
  2. Compare to prior quarter and same quarter last year (if available).
  3. Pull PayPal settlements for the same period to validate QB revenue.
  4. Calculate: revenue growth %, margin change in points, top 3 revenue categories.

Step 2 — Customer health

  1. Pull HubSpot deal data: new customers won, churned, average deal size, pipeline entering next quarter.
  2. Calculate customer acquisition cost (if data available) and revenue per customer.
  3. Flag any customers representing >20% of revenue (concentration risk).

Step 3 — Top opportunities

Identify 3 specific opportunities for next quarter based on the data:

  • Revenue upside (category, customer segment, or channel to double down on)
  • Margin upside (cost to cut or price to raise)
  • Customer upside (segment to target or churn to reduce)

Step 4 — Top risks

Identify 3 specific risks for next quarter:

  • Revenue risk (concentration, trend, seasonality)
  • Margin risk (rising cost, pricing pressure)
  • Operational risk (pipeline gap, vendor dependency)

Step 5 — QBR narrative

Write a 500–800 word narrative in plain business English with this structure:

  1. Quarter headline (one sentence)
  2. Revenue story (trend + why)
  3. Margin story (trend + why)
  4. Customer story (health + pipeline)
  5. Three opportunities
  6. Three risks
  7. One-paragraph call to action for next quarter

Step 6 — Export

Generate:

  1. `qbr-{YYYY-QN}.pdf` — formatted narrative + key charts (as ASCII tables if no chart tool available)
  2. Save to --save-to location

Connector failures

If QuickBooks is unreachable, stop — the QBR requires QB financial data as the foundation. If PayPal is missing, skip cross-validation and note "PayPal not connected — revenue validated from QB only." If HubSpot is missing, skip customer health (Step 2) and note "HubSpot not connected — customer health section skipped."

Approval gates

  • Never publish or email the QBR automatically. Always display for owner review first.
  • Flag if any data source returns incomplete data — note gaps in the narrative.

Output

Present the narrative in-line, then confirm export. End with a one-paragraph "what to focus on next quarter" summary.

Relacionados por tarefa

do mesmo repositório

Mais Skills

Todos os Skills
anthropics
Oficial

brand-review

Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.

instalações
2
GitHub Stars
32,9 mil
Atualizado
24 de out.
anthropics
Oficial

risk-assessment

Identify, assess, and mitigate operational risks. Trigger with "what are the risks", "risk assessment", "risk register", "what could go wrong", or when the user is evaluating risks associated with a project, vendor, process, or decision.

instalações
2
GitHub Stars
32,9 mil
Atualizado
24 de out.
anthropics
Oficial

design-critique

Get structured design feedback on usability, hierarchy, and consistency. Trigger with "review this design", "critique this mockup", "what do you think of this screen?", or when sharing a Figma link or screenshot for feedback at any stage from exploration to final polish.

instalações
2
GitHub Stars
32,6 mil
Atualizado
24 de out.
anthropics
Oficial

data-visualization

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

instalações
3
GitHub Stars
31,6 mil
Atualizado
22 de out.