sales-analytics skillA
sales-analytics is agent-read markdown (skill) from coupler-io/skills: Use this skill when the user wants to analyze sales pipeline, review win rates, investigate sales velocity or cycle length, build a sales report, evaluate rep performance, look at lead source quality, or answer questions about their CRM data. Triggers include 'how is the pipeline', 'win rate by segment', 'sales cycle', 'pipeline coverage', 'rep performance', 'forecast accuracy', 'why are deals stalling', 'lead source quality', 'stage conversion', 'pull my Salesforce numbers', 'HubSpot deals repo.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Sales Analytics Analyze sales performance using data from Coupler.io dataflows (Salesforce, HubSpot, Pipedrive, Close, Zoho, custom CRMs). This skill guides you through retrieving opportunity/deal data, computing pipeline and conversion metrics, investigating velocity and rep performance, detecting anomalies, and presenting actionable insights a sales leader can act on. ## Step 0: Context Check (Pre-requisite) Before starting any analysis, the **Data Context Check** skill (`generate-data-set-context`) runs as a gate. It calls `get-schema` on each target dataset to determine whether meaningful context is attached — particularly stage definitions, segment mappings (SMB/MM/Enterprise), team/territory structure, lead source taxonomy, and how 'closed-lost no decision' is distinguished from 'closed-lost competitive'. - If context exists → proceed to Step 1. - If context is missing → the user is offered the option to generate it first. Do not duplicate this check in Step 1d. ## Step 1: Discover and Select Data Sources ### 1a. Discover available data …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/sales-analytics@git:20260921.6a4d139mdr add coupler-io/skills/sales-analytics@sha256:fc7c7aeabd413026Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_cqqun2pj2r4s57az)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.6a4d139 latest | 2026-09-21 | 6a4d139 | 10,994 B | A | view · diff |
| git:20260827.ea5b9df | 2026-08-27 | ea5b9df | 10,885 B | A | view · diff |
| git:20260826.260c8c0 | 2026-08-26 | 260c8c0 | 10,877 B | A | view · diff |
| git:20260723.58d8101 | 2026-07-23 | 58d8101 | 10,768 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10994 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
coupler-io/skills · 34 stars · license none · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cqqun2pj2r4s57az GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/sales-analytics GET https://markdownregistry.com/api/v1/blob/fc7c7aeabd41302681b9253c9912142c3ce543eebdaf95606aec160eec6af8f4
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.