بنقرة واحدة
work-on-issue
Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena"). Use when asked to design or implement a new environment under envs/ by researching a target library/API, selecting matching OpenEnv examples, asking key implementation questions, and building models/client/server/openenv.yaml. Do not use for model training or evaluation tasks.
Release workflow for deploying OpenEnv environments to Hugging Face Spaces and keeping canonical references in sync.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.
OpenEnv CLI (`openenv`) for scaffolding, validating, building, and pushing OpenEnv environments.
Deploy an OpenEnv environment to Hugging Face Spaces. Use when asked to deploy, push to Hugging Face, or update a space.
Monitor a PR's CI checks and Greptile code review after submission. Polls CI status, auto-fixes failures via ralph-loop, waits for Greptile review, addresses comments, and iterates until green.
| name | work-on-issue |
| description | Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow. |
Start focused work on a GitHub issue using TDD workflow.
When this skill is invoked, you MUST execute these steps immediately. Do NOT just describe what will happen - actually do it.
Extract the issue number from $ARGUMENTS:
# prefix if presentUse the Task tool to spawn the issue-worker agent:
Task tool:
subagent_type: issue-worker
prompt: "Read GitHub issue #<NUMBER> and extract:
1. Goal - what the user wants to achieve
2. Acceptance criteria - specific testable requirements
3. Edge cases and constraints
4. Suggested PR split if complex"
Wait for the agent to return requirements.
After receiving requirements, run this command:
.claude/scripts/worktree-create.sh issue-<NUMBER>-<short-description>
Where <short-description> is 2-3 words from the goal (e.g., add-mcp-tools).
Activate TDD enforcement in the new worktree. This uses tdd-state.sh's
direct-execution mode so it works in a single Bash call:
cd .worktrees/issue-<NUMBER>-<short-description> && bash .claude/hooks/tdd-state.sh activate <NUMBER>
This writes .tdd-session.json to the worktree root, which all hooks check.
Without this step, hooks would not block direct edits.
Use TodoWrite to create a todo for EACH acceptance criterion:
TodoWrite:
todos:
- content: "Test: <acceptance criterion 1>"
status: pending
activeForm: "Testing <criterion 1>"
- content: "Test: <acceptance criterion 2>"
status: pending
activeForm: "Testing <criterion 2>"
...
Immediately invoke /write-tests for the first todo.
DO NOT stop and wait for user input. Start the TDD cycle now.
/work-on-issue #42
↓
Step 1: Parse "42" from arguments
↓
Step 2: Spawn issue-worker → get requirements
↓
Step 3: Create worktree issue-42-<name>
↓
Step 4: Activate TDD enforcement (.tdd-session.json)
↓
Step 5: Create todos from acceptance criteria
↓
Step 6: Invoke /write-tests → begin TDD cycle
This skill runs in the MAIN conversation context (not forked) because it needs to:
The issue-worker agent runs in a forked context and returns requirements.