dorabotay
Skill0 starsChanged 22 days agoMITView on GitHub
Quick on-request change — a subagent implements it, a separate subagent on the Fable model reviews it, the main process verifies the review findings, sends critical issues back to a subagent for fixing, and briefly reports the outcome. For small edits, new features and fixes in the current project without lengthy planning. Use when the user writes «доработай …», «быстро доработай», calls /dorabotay, or asks to quickly make a specific code change.
In this repository7 other files it gives its agents.
- conceptSkill
- fru-fruSkill
- obsidian-styleSkill
- optimumSkill
- predlozhiSkill
- razrabotaySkill
- staged-developmentSkill
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 9 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
When delegating, tell subagents and Codex to think in English.
- Very specific: line 22
If this conversation doesn't yet have the needed context, orient briefly (1–3 Grep/Glob/Read calls): where the affected code lives and what …
- Distinctive: line 23
If the project is a git repository, record the review baseline: git status --short and git rev-parse HEAD.
- Distinctive: line 28
Wait for the completion notification.
- Distinctive: line 48
Look at the actual changes: git diff against the recorded baseline.
- Distinctive: line 53
no logic errors, crashes, races, handler leaks, data loss.
- Distinctive: line 54
no nearby existing behavior broken (clicks, hotkeys, saving, other modes).
- Very specific: line 55
no name clashes with framework APIs, calls to nonexistent methods, missing null checks.
- Distinctive: line 56
Verify every Fable finding against the code.
- Very specific: line 63
When it finishes, re-review only the fixed spots — with the same Fable reviewer (SendMessage) or a new one with model: fable.
- Distinctive: line 64
No more than two rounds of fixes.
- Distinctive: line 72
Don't retell the process step by step and don't paste code dumps.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Dorabotay
Language
- Think, reason, plan and write internal notes, briefs and subagent/Codex prompts in English.
- Reply to the user in Russian: chat messages, questions, progress updates, reports and tables. Files the user will read (reports, sites, docs, commit messages) also stay in Russian unless the project's own conventions say otherwise.
- When delegating, tell subagents and Codex to think in English; their results come back to you, and you present them to the user in Russian.
User request: $ARGUMENTS
When launching subagents and Codex, follow the
optimumskill (§2 models, §3 prompt, §7 Codex); if it isn't installed, the models are given below.
You are the main process: you set the task, verify the result and report. A subagent writes the code; a separate subagent on the Fable model does the review (use another model only if the user named it explicitly; this rule overrides the optimum skill's assignments). Don't edit code yourself, not even trivial things: all fixes also go through a subagent.
1. Setting the task
- If this conversation doesn't yet have the needed context, orient briefly (1–3 Grep/Glob/Read calls): where the affected code lives and what its conventions are. Don't explore the whole project.
- If the project is a git repository, record the review baseline:
git status --shortandgit rev-parse HEAD. During review, separate changes that existed before work started from the new ones. - Launch a subagent:
Agent,subagent_type: general-purpose,model: sonnet,effort: medium; for a hard task (algorithms, engine, debugging, performance) —model: opus,effort: high. The subagent doesn't see the conversation, so the prompt must be self-contained:- the user's request and your understanding of exactly what to do;
- file paths, class and method names known from the conversation; earlier decisions that must not be broken;
- the subagent rules (block below) — pass them in full.
- Wait for the completion notification. Don't do the work in parallel yourself and don't invent a result before the notification. Tell the user in one line that the task has been launched.
Subagent rules (paste into the prompt)
- Find the relevant code in as few steps as possible: Grep/Glob by keywords, read only the needed fragments.
- Resolve ambiguity yourself: pick the most reasonable interpretation consistent with the existing code and state it in the report. Don't stop to ask for clarification.
- Make targeted edits in the style of the surrounding code: same names, idioms, UI message language and comment density. No refactoring and nothing that wasn't asked for.
- Run the cheapest available check: syntax (
node --check,python -m py_compile, etc.), build, linter or affected tests. If something breaks, fix it.- Before building, wait for other builds with the script
~/.claude/skills/optimum/references/wait-builds.ps1(rules are in the "Build" section below and are passed to you along with the script path); don't kill other processes. If your build failed because of a parallel one (mutex, "concurrent builds", locked files), wait and retry; don't change the code.- Budget: ~N calls, including child agents; retry a failed attempt ≤ 2 times, then stop and return a partial report: what's done, what's left, and why.
- Verification: include the command, exit code and outcome.
- Don't commit, don't push, don't delete other people's files.
- Report: what was done, list of changed files, how it was verified and what couldn't be verified, assumptions made.
Build: wait for other builds first
Before every build (yours and a subagent's), wait for other builds with the script ~/.claude/skills/optimum/references/wait-builds.ps1 per optimum §4 "Build": run it in the background powershell -NoProfile -File "<optimum folder>/references/wait-builds.ps1" [-ExtraNames <project tools>]; exit 0 — OK to build, 2 — check failed (tell the user), 3 — timeout; don't kill other processes; if the build failed because of a parallel one, wait and retry; Unreal — ask to close the editor of the same project (Live Coding). If the script is missing, check processes with Get-CimInstance Win32_Process (UnrealBuildTool, MSBuild, cl, link, ninja, cmake, gradle, etc.). Pass this rule to the subagent together with the script path.
2. Review (Fable subagent + your verification)
- Look at the actual changes:
git diffagainst the recorded baseline. Outside git, read the changed spots in the files from the subagent's report. Don't rely on the report alone. - Launch the reviewer:
Agent,subagent_type: general-purpose,model: fable,effort: high— fresh context, no implementation history. In the prompt: the user's request, the baseline (git diff <baseline>or the list of changed files from the report), the criteria from item 4, the answer format «критическое/некритическое · файл:строка · проблема · как исправить», one line per finding (or «замечаний нет»), and a ban on changing, building or committing anything. - While the reviewer works, rerun the check yourself (syntax, build or tests). Build only after waiting for other builds (the "Build" section above).
- Review criteria (apply them yourself too when going through findings):
- is the request fully done, the way the user would understand it;
- no logic errors, crashes, races, handler leaks, data loss;
- no nearby existing behavior broken (clicks, hotkeys, saving, other modes);
- no name clashes with framework APIs, calls to nonexistent methods, missing
nullchecks.
- Verify every Fable finding against the code; discard false ones. Split the rest:
- Critical: bug, crash, data loss or corruption, broken existing behavior, unfulfilled part of the request, vulnerability.
- Non-critical: style, minor improvements, debatable choices. Don't fix them; only mention them in the summary if they matter to the user.
3. Fixes (only for critical issues)
- Send the issues to the same subagent via
SendMessage(it keeps its context). If that's unavailable, launch a new one with full context. For each issue givefile:line, what's wrong, a reproduction scenario and the expected behavior. Repeat the subagent rules. - When it finishes, re-review only the fixed spots — with the same Fable reviewer (
SendMessage) or a new one withmodel: fable. - No more than two rounds of fixes. If a critical issue remains, don't hide it: describe it in the summary and suggest what to do.
4. Summary for the user (in Russian, brief)
- All good: 2–5 bullets on what changed from the user's point of view; changed files; how it was verified and what wasn't (e.g., «в приложении не запускал»).
- There were fixes: the same plus one line on what the review found and what was fixed.
- Assumptions made and important non-critical issues — on a separate line, if any.
- Models: «исполнитель — <модель, effort>; ревью — <модель, effort / не запускалось>».
- Don't retell the process step by step and don't paste code dumps.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

