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radisha-help
Full workflow reference and detailed rules - invoke when you need comprehensive guidance on how to use radisha skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Full workflow reference and detailed rules - invoke when you need comprehensive guidance on how to use radisha skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Given a TheRock nightly build (URL or run-id), return the rocm-systems pin_sha used in that build
Check whether a given rocm-systems commit is included in a specific TheRock nightly build
Find the first TheRock nightly build that includes a given rocm-systems commit
Reviews Pull Requests or local diffs with an 8-agent fan-out covering static analysis, dead code, code smells + quality (naming, complexity, single-responsibility, magic numbers), language rules (C++/Python/CMake), architecture, simplification, performance (hot-path classification, allocations, locks, I/O), and undefined behaviour (signed overflow, lifetime, strict aliasing, data races, sanitizer coverage; C/C++/unsafe-Rust only). Use when the user asks to "review this PR", "review the diff", "audit this branch", "/pr-review", or when staging changes before push.
Walk through a PR review interactively, one finding at a time. Generate review via pr-review, then for each issue present analysis + proposed inline comment, let user accept/edit/skip, accumulate into a PENDING GitHub review, submit at end.
Use when user wants to list, analyze, review, or summarize GitHub PR comments on a pull request number or URL
| name | radisha-help |
| description | Full workflow reference and detailed rules - invoke when you need comprehensive guidance on how to use radisha skills |
IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.
This is not negotiable. This is not optional. You cannot rationalize your way out of this.
# Quick update check (run silently)
cd ~/.claude/skills 2>/dev/null || cd "$(readlink -f ~/.claude/skills)" 2>/dev/null
if git fetch origin --dry-run 2>&1 | grep -q .; then
git pull origin main --quiet
fi
If updates were pulled, briefly note: "Radisha skills updated to latest version."
This ensures you always have the latest skills. Skip this check on subsequent skill invocations in the same session.
This ensures consistency and readability across all documentation, plans, code comments, and conversations.
Simplicity First - Make every change as simple as possible. Impact minimal code.
No Laziness - Find root causes. No temporary fixes. Senior developer standards.
Minimal Impact - Changes should only touch what's necessary. Avoid introducing bugs.
Every Plan Leads to a Pull Request - Keep PR reviewability in mind from the start.
Emoji Policy - Avoid emojis in code, comments, and general output. Exception: User-facing interactive menus may use emojis for visual clarity (e.g., ✅ Continue, ⬅️ Revert).
Use these shortcuts for fast access to common skills:
| Command | Description |
|---|---|
/plan | Start planning - asks which type |
/plan-feature | Plan a new feature |
/plan-bugfix | Plan a bug fix |
/plan-refactor | Plan refactoring |
/commit | Create a commit |
/pr | Prepare a pull request |
/review | Review a pull request |
/testplan | Create a test plan |
/explore | Explore unfamiliar code |
/skills | List all available skills |
/update | Update radisha |
For /plan specifically: Present an interactive menu using AskUserQuestion to ask which planning type (feature/bugfix/refactor/docs/architecture), then invoke the selected skill.
In Claude Code:
Skill tool to invoke skills by name (e.g., planning-feature)~/.claude/skills/ using the Read toolIn Cursor:
@skill-name mention in Chat/Composer.cursor/skills/ or user skills folderIn other environments: Check your platform's documentation for how skills are loaded.
Different platforms use different tool names. Use this mapping:
| Action | Claude Code | Cursor |
|---|---|---|
| Ask user question | AskUserQuestion tool | Built-in question UI |
| Create/track tasks | TaskCreate, TaskUpdate, TaskList | TodoWrite |
| Enter planning mode | EnterPlanMode tool | Switch to Plan Mode |
| Invoke skill | Skill tool | @skill-name mention |
| Read file | Read tool | Read tool |
Planning comes BEFORE implementation. Always.
Use Cursor's Plan Mode for planning phases. After completing the plan:
planning/ folderThis ensures plans persist in files and can be resumed later.
Choose the right planning skill:
planning-feature - New features (includes changelog + test case prompts)planning-bugfix - Bug fixes (asks about changelog)planning-refactor - Improving existing code (best practices, testability, reduce duplication)planning-docs - Documentation (no changelog)review-architecture - Architecture documentation (iterative, chapter-by-chapter, no code)Debugging skills:
debugging-rocprof-sys - Interactive debugging of rocprofiler-systems issues (logs, gdb, strace)Exploration skills (before planning):
exploration-explore-code - Systematic exploration of unfamiliar code before extractionProgramming skills by language:
programming-cpp, programming-cpp-design-patterns, programming-cpp-stl-algorithms, programming-cpp-naming-rulesprogramming-pythonprogramming-cmake-best-practicesCode quality skills:
code-smells - Detect anti-patterns and refactoring opportunities (used by pr-review)pr-review - Review PRs or local changes; produces structured reportpr-review-interactive - Walk through PR review findings one by one, accumulate inline comments in a PENDING review, submit at endLibrary-specific skills:
libraries-amd-smi - GPU/CPU monitoring and managementRadisha management skills:
radisha-update - Update radisha to latest versionradisha-help - Full workflow reference (this skill)Async coordination skills:
watch - Schedule a recurring poll of an external condition (PR merge, CI green, Jira state, background build); runs a follow-up action when met and self-stopsAfter implementation, create test plan:
testing-testplan skillplanning/testplan-<name>.md with verification scenariosAfter test plan, offer unit tests:
testing-gtest-gmock skilltesting-pytest skillAfter tests, offer Pull Request:
git-prepare-pull-request skillWorkflow:
planning-* skillplanning/testplan-<name>.mdUse the AskUserQuestion tool for interactive clickable menus instead of text-based options.
After each step:
Autonomous verification (if code was changed):
Show a summary of what was implemented:
Use AskUserQuestion tool with these options:
{
"title": "Step Validation: [Step Description]",
"questions": [{
"id": "validation",
"prompt": "I've completed [step]. Please review the changes above.",
"options": [
{"id": "continue", "label": "✅ Continue - Proceed to next step"},
{"id": "revert", "label": "⬅️ Revert & Stop - Revert changes and stop"},
{"id": "improve", "label": "🔄 Improve - Try a different approach"}
]
}]
}
Validation flow:
Complete Step N
│
▼
Autonomous verification (run tests, check logs)
│
▼
Show summary + verification results
│
▼
AskUserQuestion (interactive menu)
│
├── "continue" ──────→ Mark step done, proceed to Step N+1
│
├── "revert" ────────→ Revert changes, stop implementation
│
└── "improve" ───────→ Revise implementation, ask again
Example:
First, show the changes with verification:
Completed: Step 2 - Add validation to user input
Changes:
- Added
validate_input()function insrc/utils/validation.cpp- Added input checks in
process_request()- Returns
std::optional<error>on validation failureVerification:
- ✅ All existing tests pass
- ✅ No linter errors
- ✅ Manual check: invalid input correctly rejected
Then use AskUserQuestion tool for the interactive menu.
When to stop and re-plan:
How to re-plan:
Use subagents liberally to keep the main context window clean and focused.
When to use subagents:
Subagent rules:
Example use cases:
When to apply:
Skip this for:
If a fix feels hacky:
"Knowing everything I know now, is there a more elegant solution?"
Challenge your own work before presenting it to the user.
If you're not sure which skill applies to the user's request, use AskUserQuestion tool:
{
"title": "Task Type",
"questions": [{
"id": "task_type",
"prompt": "Which best describes what you need?",
"options": [
{"id": "feature", "label": "New feature - Add new functionality"},
{"id": "bugfix", "label": "Bug fix - Fix something that's broken"},
{"id": "refactor", "label": "Refactoring - Improve existing code"},
{"id": "docs", "label": "Documentation - Create or update docs"},
{"id": "question", "label": "Just a question - No action needed"}
]
}]
}
Do NOT guess. When in doubt, ask.
Ask when:
How to ask:
"I have a few options for this. Before I proceed:
Option A: [Description] - [Trade-offs] Option B: [Description] - [Trade-offs]
Which approach would you prefer? Or should I consider something else?"
Or for confirmation:
"I'm planning to [approach]. This assumes [assumption]. Is this correct, or would you prefer a different approach?"
Do NOT:
If the user is asking a question that doesn't require any code changes, file modifications, or implementation:
ask skill for explanations, clarifications, or informational requestsExamples of "ask" scenarios:
Invoke relevant or requested skills BEFORE any response or action. Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.
digraph skill_flow {
"User message received" [shape=doublecircle];
"Is it a question only?" [shape=diamond];
"ask skill" [shape=box];
"Is type clear?" [shape=diamond];
"Offer skill options" [shape=box];
"Is task non-trivial?" [shape=diamond];
"Determine task type" [shape=diamond];
"planning-feature" [shape=box];
"planning-bugfix" [shape=box];
"planning-refactor" [shape=box];
"planning-docs" [shape=box];
"Create TodoWrite from plan" [shape=box];
"Might domain skill apply?" [shape=diamond];
"Invoke domain Skill tool" [shape=box];
"Execute and mark done" [shape=box];
"Ask about unit tests" [shape=box];
"Respond" [shape=doublecircle];
"User message received" -> "Is it a question only?";
"Is it a question only?" -> "ask skill" [label="yes"];
"ask skill" -> "Respond";
"Is it a question only?" -> "Is type clear?" [label="no, needs action"];
"Is type clear?" -> "Offer skill options" [label="unclear"];
"Offer skill options" -> "Is task non-trivial?";
"Is type clear?" -> "Is task non-trivial?" [label="clear"];
"Is task non-trivial?" -> "Determine task type" [label="yes, >2 steps"];
"Is task non-trivial?" -> "Might domain skill apply?" [label="no, trivial"];
"Determine task type" -> "planning-feature" [label="new feature"];
"Determine task type" -> "planning-bugfix" [label="bug fix"];
"Determine task type" -> "planning-refactor" [label="refactoring"];
"Determine task type" -> "planning-docs" [label="documentation"];
"Determine task type" -> "review-architecture" [label="architecture doc"];
"review-architecture" -> "Respond";
"planning-feature" -> "Create TodoWrite from plan";
"planning-bugfix" -> "Create TodoWrite from plan";
"planning-refactor" -> "Create TodoWrite from plan";
"planning-docs" -> "Create TodoWrite from plan";
"Create TodoWrite from plan" -> "Might domain skill apply?";
"Might domain skill apply?" -> "Invoke domain Skill tool" [label="yes"];
"Might domain skill apply?" -> "Execute and mark done" [label="no"];
"Invoke domain Skill tool" -> "Execute and mark done";
"Execute and mark done" -> "Ask about unit tests";
"Ask about unit tests" -> "Respond";
}