Bring your skill.md to life.

Nyron turns your skill.md, document or method into an MCP server for ChatGPT, Claude and other AI. Your team works with it every day, and you improve it from real runs — for everyone at once.

Use cases

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Head of sales

The agent builds proposals from the company template and price list — they reach the client without the manager’s edits.

1Why

So every rep builds proposals on the current price list, not on last year’s file from someone’s inbox.

52managers and dealers
2What went in

Uploaded the proposal template, the fresh price list and three proposals that closed big deals.

  • docxProposal template
  • pdfPrice list, November
  • pdfBest proposals of the year
3How it was shared

Shared with reps and dealers by email. Each works in their own ChatGPT or Claude, on their own tokens.

ChatGPTClaude
By email
4What was seen and fixed

Saw that half the reps got stuck on the value calculation. Added a calculator to that step with the AI — the new version reached everyone at once.

Proposals with no manager edits
before38 %
after71 %

Course author

The agent walks each student through the course exercises on their own project.

1Why

So students apply the method to their own project instead of rereading notes.

120students in the cohort
2What went in

Uploaded the book, the lecture slides and the exercises — as they are, no rewriting.

  • pdfBook
  • pptxLectures
  • docxExercises
3How it was shared

Opened access after payment. A student adds the address to their ChatGPT or Claude and does the exercises there.

ChatGPTClaude
After payment
4What was seen and fixed

Saw the cohort drop off at the third exercise. Split it into two steps with an example — the next cohort finished.

Finish the course
before35 %
after62 %

Business consultant

The agent takes a client through a strategy session using the consultant’s method.

1Why

So clients keep working with the method between meetings, and the consultant sells the method, not just hours.

85clients
2What went in

Uploaded the methodology, the workshop templates and recordings of two sessions.

  • pdfMethodology
  • pptxWorkshop
  • txtSession recordings
3How it was shared

Opened access after payment — a client connects the address in their own ChatGPT or Claude, on their own tokens.

ChatGPTClaude
After payment
4What was seen and fixed

Saw clients get stuck on market sizing. Added a worked example — clients started renewing access.

Clients who renewed
before20 %
after46 %

Marketing director

The agent makes ads by the brand guidelines — layouts pass approval in the first round.

1Why

So regions and agencies make ads in one style without waiting for the director’s edits.

30staff and 2 agencies
2What went in

Uploaded the “how we make ads” skill, the brand guidelines and the tone of voice.

  • mdSKILL.md
  • pdfBrand guidelines
  • docxTone of voice
3How it was shared

Shared with all staff — they work in ChatGPT and Claude on their own tokens. Agencies got a code with a spending cap.

ChatGPTClaude
Everyone; agencies by code
4What was seen and fixed

Saw the logo-on-dark rule broken most often. Added an example to the review step — edits halved.

Layouts approved first time
before40 %
after75 %

Head of support

The agent helps an agent answer a customer by the knowledge base and the refund rules.

1Why

So agents answer the same way and don’t call a senior on every hard question.

40support agents
2What went in

Uploaded the knowledge base, the refund rules and examples of the best replies.

  • pdfKnowledge base
  • docxRefund rules
  • mdBest replies
3How it was shared

Shared with every support agent by email — they work in Copilot and Slack.

CopilotSlack
By email
4What was seen and fixed

Saw answers about delivery times diverge. Updated the rule — every agent had the new version at once.

Replies with no escalation
before55 %
after82 %

Head of analytics

The agent analyses product data for a chosen period by the team’s method.

1Why

So any PM can break down a week’s or month’s metrics by one method instead of queuing for an analyst.

25product and other managers
2What went in

Uploaded the analysis method, the product’s event and metric dictionary and the report template.

  • mdAnalysis method
  • xlsxEvent dictionary
  • docxReport template
3How it was shared

Shared with PMs on sign-up — they work in Claude and ChatGPT, and the agent reads numbers from analytics with each person’s own access.

ClaudeChatGPT
On sign-up
4What was seen and fixed

Saw conclusions drawn without comparing to the previous period. Added a “before — after” step — fewer questions on reports.

Reports with no analyst questions
before30 %
after70 %

Head of product

The agent walks a PM through the PRD template — the document arrives at review ready.

1Why

So PRDs come to review filled in, not with empty sections.

60PMs and analysts
2What went in

Uploaded the PRD template, the team’s three best PRDs and the review checklist.

  • mdPRD template
  • pdfThree best PRDs
  • docxReview checklist
3How it was shared

Shared on sign-up: PMs work in Claude and right in the team’s Slack channel.

ClaudeSlack
On sign-up
4What was seen and fixed

Saw that 58% of PRDs had no success metrics. Moved the metrics question to the start — reviews got shorter.

PRDs passing first review
before30 %
after66 %

Scrum master

The agent takes a team through the retro and sprint planning by the company’s process.

1Why

So six teams follow one process and a retro ends in actions, not complaints.

48people in 6 teams
2What went in

Uploaded our Scrum description, the retro template and the Definition of Done.

  • mdOur Scrum
  • docxRetro template
  • mdDefinition of Done
3How it was shared

Shared with teams by code — they work in Claude and right in the sprint’s Slack channel.

ClaudeSlack
By team code
4What was seen and fixed

Saw retros end with no action owners. Added a “who and by when” step — actions now get done.

Retro actions completed
before30 %
after72 %

Head of the PMO

The agent writes the weekly project status for leadership: progress, plans, problems.

1Why

So statuses arrive in one format and leadership reads them in five minutes.

15project managers
2What went in

Uploaded the “progress — plans — problems” format, the traffic-light rules and two good statuses.

  • docxStatus format
  • mdTraffic-light rules
  • pdfStatus examples
3How it was shared

Shared by email — they write in Copilot and right in the project’s Slack channel.

CopilotSlack
By email
4What was seen and fixed

Saw risks written with no owners or dates. Added the “who and by when” question — fewer follow-ups from leadership.

Statuses with no follow-up questions
before40 %
after78 %

HR director

The agent walks a new hire through the first 90 days plan.

1Why

So a new hire doesn’t wait for the manager’s free time and knows what to do in week one.

35new hires a quarter
2What went in

Uploaded the new-hire handbook, the department rules and the onboarding checklist.

  • pdfNew-hire handbook
  • docxDepartment rules
  • xlsxOnboarding checklist
3How it was shared

Opened access on sign-up on day one — the new hire works in ChatGPT or Copilot.

ChatGPTCopilot
On sign-up
4What was seen and fixed

Saw new hires stuck waiting for system access. Added a step with the list of requests — the week of waiting is gone.

New hires done with the plan in 30 days
before45 %
after81 %

CFO

The agent builds the monthly budget variance report.

1Why

So budget owners explain variances one way and the month-end close doesn’t drag into a week.

18budget owners
2What went in

Uploaded the variance method, the report template and the materiality thresholds.

  • docxVariance method
  • xlsxReport template
  • mdMateriality thresholds
3How it was shared

Shared with budget owners by email — they work in Copilot and Gemini, on their own tokens.

CopilotGemini
By email
4What was seen and fixed

Saw variances explained with a number only, no cause. Added a “why and what we do” step — the report takes a day instead of three.

Days for the monthly report
before3
after1

Pricing

Build your agent for free. Pay when you need more: analytics, access control, integrations and your own brand.

FreeHobbyBusinessEnterprise
Unlimited agents and editors
Price$0$50 / mo$200 one-timeCustom
Credits$5$55 / mo$225Volume pricing
Credits pay for building, editing and testing your agent. Clients use it on their own ChatGPT or Claude subscription — or on your balance, if you prefer.
What you get
  • Agent building
  • MCP: ChatGPT, Claude, Copilot, Gemini, Slack
  • Nyron Client
  • Everything in Free
  • Balance top-ups
  • Run analytics
  • Access control
  • Automated tests
  • Google Drive
  • Everything in Hobby
  • Jira, Confluence, Notion, HubSpot
  • Your own brand
  • Listing in the ChatGPT and Claude directories
  • Everything in Business
  • Dedicated server
  • SSO and roles
  • Audit log
  • Contract and SLA
Get startedGet startedGet startedContact us

Unlimited agents and editors

Free$0

Credits: $5

  • Agent building
  • MCP: ChatGPT, Claude, Copilot, Gemini, Slack
  • Nyron Client
Hobby$50 / mo

Credits: $55 / mo

  • Everything in Free
  • Balance top-ups
  • Run analytics
  • Access control
  • Automated tests
  • Google Drive
Business$200 one-time

Credits: $225

  • Everything in Hobby
  • Jira, Confluence, Notion, HubSpot
  • Your own brand
  • Listing in the ChatGPT and Claude directories
EnterpriseCustom

Credits: Volume pricing

  • Everything in Business
  • Dedicated server
  • SSO and roles
  • Audit log
  • Contract and SLA

Credits pay for building, editing and testing your agent. Clients use it on their own ChatGPT or Claude subscription — or on your balance, if you prefer.