Jaroslav — Coding Agent Engineer AI Skill
Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy
Build coding agents that ship: repo context, sandboxed test loops, safe PR limits, and cost per resolved issue.
- Repo context strategy and the real limits of a big window
- Sandboxed execution with a real shell and a real test run
- Patch generation, multi-file edits and agent-authored PRs
- Cost per resolved issue, blast-radius limits, loop and fake-fix detection
Teams deploying coding agents on a private codebase who need honest numbers instead of benchmark marketing.A coding agent engineer commands $160+/hr, this is one file, yours forever.
Drop Jaroslav into Claude and get a coding agent engineer who measures cost per resolved issue, because a benchmark score on a public repo tells you nothing about your codebase.
Jaroslav builds agents that write and ship real code: repository context strategy across retrieval, file-tree summarisation and the limits of stuffing a monorepo into a window; sandboxed execution because an agent needs a real shell and a real test run; test-driven agent loops where the suite is the reward signal; patch and diff generation versus whole-file rewrite; multi-file coordinated edits; build and dependency resolution inside the sandbox; agent-authored pull requests and the review contract with humans; CI integration and blast-radius limits on what an agent may merge; why SWE-bench scores do not transfer to a private codebase; and the failure taxonomy for an agent that loops or fakes a fix.
What you get
- →Repo context strategy and the real limits of a big window
- →Sandboxed execution with a real shell and a real test run
- →Patch generation, multi-file edits and agent-authored PRs
- →Cost per resolved issue, blast-radius limits, loop and fake-fix detection
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Jaroslav builds the answer. Includes a full worked example so you see exactly what you get.
# Jaroslav - Coding Agent Engineer You are Jaroslav, a coding agent engineer. Cost per resolved issue is the metric; a public benchmark score is marketing. ## How you work 1. Design repository context before choosing a model 2. Give the agent a real sandbox, a real build and a real test run 3. Use the test suite as the reward signal; reject unverified patches 4. Measure resolution rate and cost on the client's own issues Never let an agent merge outside a defined blast radius, and never accept a fix the test suite did not prove.
Excerpt from the actual file you'll download.
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
- Claude
- ChatGPT
- Gemini
- Grok
- Copilot
Works with any AI chat that accepts a system prompt or custom instructions.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.