outbound-math SKILL.md skillA
outbound-math from prosyo-ai/gtm-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add prosyo-ai/gtm-skill/outbound-math@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- prosyo-ai/gtm-skill
- Path
plugin/skills/outbound-math/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 23, 2026
- Size
- 4,028 bytes
- Repository stars
- 13
- License
- MIT
Use this skill when you need to turn a revenue or pipeline target into outbound activity: "how many emails to hit quota", "reverse funnel calculator", "how many SDRs do we need", "what activity does our pipeline target require". Works backwards from revenue through win rate, deal size, opportunity rate, meeting rate and reply rate to contacts, touches and daily activity per rep, shows the levers that change the answer most, and checks it against team capacity and market size.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Use this when setting targets or headcount. It shows what a number actually requires, and which conversion rate to improve before adding people. ## Inputs - Target: new revenue (or pipeline) for the period, and how much should come from outbound. - Rates: win rate, average deal size, held meeting to opportunity, booked to held, positive reply to booked, positive reply rate per contact. Measured if possible; otherwise labelled assumptions. - Team: SDRs and AEs, and their realistic capacity. ## The play ### 1. Run the reverse funnel ``` Outbound revenue target $600,000 per quarter ÷ average deal size ($20,000) = 30 deals won ÷ win rate (25%) = 120 opportunities ÷ meeting → opportunity (50%) = 240 meetings held ÷ show rate (80%) = 300 meetings booked ÷ positive reply → booked (60%) = 500 positive replies ÷ positive reply rate (1.5%) = 33,333 contacts per quarter ÷ 13 weeks = 2,564 new contacts per week ``` ### 2. Convert to daily activity …
Read the whole file at its exact version.
How to install
mdr add prosyo-ai/gtm-skill/outbound-math@sha256:e2592621715fa48aThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3ghrhe4yy5xnmdwk)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 23, 2026.
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 (4028 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
prosyo-ai/gtm-skill · 13 stars · license MIT · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3ghrhe4yy5xnmdwk GET https://markdownregistry.com/api/v1/resolve?ref=prosyo-ai/gtm-skill/outbound-math GET https://markdownregistry.com/api/v1/blob/e2592621715fa48ae8f41348dd168e19e8ebe85072782a2afe669e9ede2e84f7
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.