Agent skill · Data & Analytics

sales-performance-review

Periodic sales performance review composite. Aggregates ALL sales initiatives taken in a given period — outbound campaigns, inbound efforts, events, partnerships, content, referrals — and measures the impact of each on pipeline and revenue. Produces a team-presentable report covering initiative-level performance, cross-initiative comparisons, pipeline attribution, what's working, what's not, and where to invest next. Tool-agnostic — pulls data from any combination of CRM, outreach tools, and tracking systems.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill sales-performance-review-gooseworks-ai-goose-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 35 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/analysis/sales-performance-review-gooseworks-ai-goose-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

A tool to produce a periodic, team-presentable sales performance report that aggregates all initiatives from a defined period, measures each initiative's impact on pipeline and revenue, and compares performance across initiatives. It can call other skills for deeper diagnosis and focuses on cross-initiative attribution and investment guidance.

How it works

  • Step 0: Configuration sets data sources, initiative categories, team goals, and reporting audience.
  • Step 1: Inventory all initiatives executed in the period by category (Outbound Email Campaigns, LinkedIn Outreach, Events & Webinars, Inbound / Content, Referrals & Partnerships, and any other initiatives). For each initiative, capture: id, name, category, channel, launch_date, status, description, target_audience, data_source, raw_data_available.
  • Step 1 (Human Checkpoint): A human-readable checkpoint summarizes counts by period and categories and prompts to confirm any omissions.
  • Step 2: Pull initiative-level metrics for each inventory item, aligned to channel-specific metrics (emails sent, opens, replies, meetings, pipeline dollars, etc.). Include pipeline attribution data linking deals to initiatives with first-touch and multi-touch where possible.
  • Step 2 (Output Contract): Produce initiative_metrics with detailed metrics per initiative, including activity, responses, meetings, pipeline, revenue, cost, ROI, and vs_prior comparisons when available.
  • Step 3: Analyze initiative performance by scoring each initiative, comparing across initiatives, and identifying what’s working, what’s not, and gaps. Uses targets, team structure, and period data to derive insights and investment recommendations.
  • The composite can integrate with sequence-performance and pipeline-review for deeper diagnosis when applicable.

When to use it

  • Trigger phrases for auto-loading: "sales review", "periodic review", "what did we do this month", "team performance report", "sales standup report".
  • Use at end of period cadence (weekly, biweekly, monthly, quarterly) for review readiness.
  • When a founder or sales leader asks what actions moved the needle and where to invest next.

What it can touch

  • Data sources and tools: pulls data from CRM, outreach tools, tracking systems as configured (data_sources, crm_tool, outreach_tools, initiative_tracker, active_channels).
  • Output includes initiative_inventory and initiative_metrics to be used in the final report.

Caveats

  • Requires explicit data sources configuration and access to the involved tools.
  • Attribution accuracy depends on available data (CRM source field, campaign IDs, or time proximity) and may include estimates where data is incomplete.
  • Some outputs rely on user confirmation for missing initiatives.
From the SKILL.md

# Sales Performance Review The all-up periodic report. Every other analytics composite looks at one slice — a single campaign's emails, or the pipeline's current state. This one answers the question a founder or sales leader asks in every team meeting: **"What did we do this period, and did it move the needle?"** It inventories every sales initiative, measures each one's contribution to pipeline and revenue, compares them against each other, and produces a presentation-ready report that the team can review together. **What makes this different from `pipeline-review` and `sequence-performance`:** | Composite | Scope | Question It Answers | |-----------|-------|-------------------| | `sequence-performance` | One email campaign | "Is this specific campaign working?" | | `pipeline-review` | Pipeline state | "What does our pipeline look like right now?" | | `sales-performance-review` | ALL initiatives across the period | "What did we do, what worked, and where should we invest next?" | This composite can call `sequence-performance` for deeper campaign-level diagnosis and `pipeline-review` for pipeline state — but its primary job is the cross-initiative view. ## When to Auto-Load Load th

What's inside
Steps it walks through
  1. When to Auto-Load
  2. Step 0: Configuration (One-Time Setup)
  3. Data Sources
  4. Team & Goals
  5. Initiative Categories
  6. Step 1: Inventory All Initiatives
  7. Input Contract
  8. Process
  9. Output Contract
  10. Human Checkpoint
  11. Step 2: Pull Initiative-Level Metrics
  12. Pipeline Attribution
  13. Step 3: Analyze Initiative Performance
  14. Analysis Sections
Ships with 1 file
  • metadata.json
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About this skill
What does the sales-performance-review skill do?

Periodic sales performance review composite. Aggregates ALL sales initiatives taken in a given period — outbound campaigns, inbound efforts, events, partnerships, content, referrals — and measures the impact of each on pipeline and revenue. Produces a team-presentable report covering initiative-level performance, cross-initiative comparisons, pipeline attribution, what's working, what's not, and where to invest next. Tool-agnostic — pulls data from any combination of CRM, outreach tools, and tracking systems.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill sales-performance-review-gooseworks-ai-goose-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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