Sales Reporting Data Model includes pricing or quota commentary. At roughly 2,635 words the SKILL.md is on the longer end of the catalog distribution.
Sales Reporting Data Model sits in the Sales category under the sales-misc sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
This skill activates when a practitioner needs to design, configure, or troubleshoot sales reporting mechanisms in Salesforce — specifically Historical Trend Reporting (HTR), Reporting Snapshots, and Custom Report Types (CRTs) for pipeline analysis and opportunity reporting. It covers the data model constraints, activation requirements, scheduling, and architectural tradeoffs for each mechanism. It does NOT cover CRM Analytics / Tableau CRM, Marketing Cloud Datorama, or SOQL query optimization.
Sales Reporting Data Model is a community-contributed Claude Code skill in the sales-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/sales-reporting-data-model/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when designing or troubleshooting Salesforce sales reporting — covers Historical Trend Reporting, Reporting Snapshots, and Custom Report Types for pipeline and opportunity analysis. Trigger keywords: historical trending, opportunity snapshot, reporting snapshot, pipeline history, custom report type join, point-in-time reporting.
The Sales Reporting Data Model Claude Code skill is built for sales development reps, account executives, revenue operations teams, and customer success managers. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 116,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
mkdir -p ~/.claude/skills/sales-reporting-data-model curl -L https://claudskills.com/skills/sales-reporting-data-model/SKILL.md \ -o ~/.claude/skills/sales-reporting-data-model/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/sales-reporting-data-model/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/sales-reporting-data-model/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\sales-reporting-data-model\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
SKILL.md from the source repository to ~/.claude/skills/sales-reporting-data-model/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Sales Reporting Data Model is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Sales category. Learn more at /learn/what-is-a-claude-skill/.If you reference this skill in a blog post, paper, or documentation, you can cite it as:
@misc{sales-reporting-data-model-2026,
author = {Pranav Nagrecha},
title = {Sales Reporting Data Model [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/sales-reporting-data-model/}
}Browse all Sales skills in the ClaudSkills registry, or explore these other picks from the same category:
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SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.