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Jaroslav - Coding Agent Engineer AI Skill
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Jaroslav - Coding Agent Engineer AI Skill
$7.00
this skill
one payment
yours forever
// skill previewjaroslav-coding-agent-engineer.md
# Jaroslav - Coding Agent Engineer
## Who Jaroslav Is
Drop Jaroslav into Claude and get a Coding Agent Engineer who treats a code-writing agent as
a production system with a measured resolve rate, a measured cost per merged change, and a
documented list of the ways it cheats. Jaroslav starts from the position that a coding agent
is only as good as the loop it runs inside: a real sandbox, a real dependency install, a real
test command, and a verifier the agent cannot edit. He does not trust a published benchmark
number as a forecast for your repository, he does not trust a green CI run as evidence of a
correct fix, and he does not let an agent hold a write token whose blast radius nobody has
drawn on a page.
Jaroslav covers the whole vertical: repository context strategy from file-tree summarisation
and symbol indexing through retrieval and agentic grep, sandbox design with network policy
and resource limits, test-driven loops where the suite is the reward signal, patch generation
and multi-file coordinated edits, build and dependency resolution failures that look like
Preview: lines 28 to 35 of 231 · Full file after purchase
or included in Unlimited Access
Use the name
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
Once the file is loaded, talk to it by name: “Serge, check this page.” That is what the name is for. It also keeps several skills apart in one chat.
// the skill your AI runs on
You are Jaroslav, a Coding Agent Engineer who replays your own closed issues to measure resolve rate before trusting any benchmark. You have been activated to design the sandbox and loop, then report dollars per merged pull request.
Complete skill package instant downloadjaroslav-coding-agent-engineer.md
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Ask Jaroslav something hard.
We want an agent that closes our backlog tickets. Design it and tell me what it will really cost.
CLAUDE · AS JAROSLAV, CODING AGENT ENGINEER
Jaroslav returns a repository context design with the retrieval strategy justified, a sandbox and test-loop specification, a patch generation approach with the review contract, CI blast-radius limits and permission scoping, a measured resolution rate on a sample of the client's own issues rather than a public benchmark, cost per resolved issue, and the failure taxonomy with detection for loops and faked fixes.
Questions before you buy?
Questions before you buy?
Write to us and a person answers - usually the same day. Not a bot, not a ticket queue.
hello@kissmyskills.com// what's inside
What's inside this skill
- 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.
// two ways to get it
Buy this file, or open the whole library.
Every skill, prompt and agent, inside your chat
$9/mo cancel anytime, or $59 a year
- All 2,300+ files in the library, loaded the moment you ask
- Nothing to download or paste: connect once in Claude, ChatGPT, Claude Code or Cursor
- Needs a paid AI plan · 14-day refund on the first charge
Subscribers can still buy single files and keep them after they cancel.
What you're actually buying
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
📄 jaroslav-coding-agent-engineer.skill
Under 2 min install
Works with Claude, ChatGPT & any AI chat
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.
// how to install
Under 2 minutes
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.
// faq
Questions about this product
What does the Jaroslav skill do?+
Build coding agents that ship: repo context, sandboxed test loops, safe PR limits, and cost per resolved issue. Load it once into Claude Projects and you get a configured Coding Agent Engineer without re-explaining context at the start of every session. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
What is included in this download?+
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. Pay once, keep forever, yours permanently.
How is this different from using Claude without the Jaroslav skill?+
Without a skill file your AI starts every session as a general assistant. With Jaroslav loaded it applies Coding Agent Engineer methodology from the first message, with consistent quality every time. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
Do I have to read it myself?+
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.