implementing-in-background

分类: 工具与效率 | 上传者: jiunbae | 下载: 0 | 版本: v1.0（最新）
Orchestrates multiple AI agents (Claude, Codex, Gemini) for parallel implementation in the background. Separates independent tasks from planning docs, each agent writes code directly. Context-safe with auto-save. Use for "백그라운드 구현", "bg impl", "병렬 구현", "Codex로 구현", "구현해줘", "코드 작성해줘" requests.
更新日志: Source: GitHub https://github.com/jiunbae/agent-skills
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当前层级: agents/background-implementer/
📄 SKILL.md 7.9 KB
SKILL.md

---
name: implementing-in-background
description: Orchestrates multiple AI agents (Claude, Codex, Gemini) for parallel implementation in the background. Separates independent tasks from planning docs, each agent writes code directly. Context-safe with auto-save. Use for "백그라운드 구현", "bg impl", "병렬 구현", "Codex로 구현", "구현해줘", "코드 작성해줘" requests.
allowed-tools: Read, Bash, Grep, Glob, Task, Write, Edit, TodoWrite, AskUserQuestion
priority: high
tags: [implementation, background, parallel-execution, autonomous, codex, gemini, multi-llm]
---

# Background Implementer

Multi-LLM background implementation with context-safe parallel execution.

## Quick Start

```bash
# 1. Analyze planning doc → extract tasks
# 2. Create output dir: .context/impl/
# 3. Determine round: R01, R02, ...
# 4. Run agents in background → {round}-{agent}.md
# 5. Guide user to check results manually
```

## Output Convention

```
.context/impl/
├── R01-tasks.md               # Round 1: task decomposition
├── R01-claude.md              # Round 1: Claude's implementation notes
├── R01-codex.md               # Round 1: Codex's implementation notes
├── R01-gemini.md              # Round 1: Gemini's implementation notes
├── R01-summary.md             # Round 1: merged summary
├── R02-claude.md              # Round 2: fixes/iterations
└── R02-summary.md
```

**Round number** increments each implementation iteration:
```bash
mkdir -p .context/impl
ROUND=$(printf "R%02d" $(( $(ls .context/impl/R*-*.md 2>/dev/null | sed 's/.*\/R\([0-9]*\)-.*/\1/' | sort -rn | head -1 | sed 's/^0*//') + 1 )))
```

## Provider Selection

| Provider | Best For | Command |
|----------|----------|---------|
| **Claude** | Complex logic, APIs, multi-file changes | `Task({ run_in_background: true })` |
| **Codex** | DB migrations, models, focused code gen | `nohup codex exec --full-auto -C {workdir} "prompt" > log 2>&1 &` |
| **OpenCode** | General implementation, multi-model support | `nohup opencode run -q -f text "prompt" > log 2>&1 &` |
| **Gemini** | Tests, documentation, code review | `nohup gemini -p "prompt" --yolo -o text > log 2>/dev/null &` |
| **Ollama** | Simple utils, types | `ollama run $OLLAMA_MODEL` |

> **OpenCode**: Use `opencode run -q -f text "prompt"` for non-interactive mode. `-q` suppresses the spinner, `-f text` outputs plain text. Use `--attach http://localhost:PORT` to connect to a running server (avoids cold boot). Supports multiple providers/models via config.
> **Gemini v0.26+**: Use `-p "prompt"` for non-interactive mode. Use `--yolo` for auto-approve file writes. Use `-o text` for clean output. Redirect stdout to capture: `> output.md`. Do NOT use `-s` (that's `--sandbox`, not silent).
> **Codex v0.101+**: Use `codex exec --full-auto` for non-interactive. Use `-C dir` to set working directory. Use `-o file.md` to save last message. Use `nohup ... > log 2>&1 &` for background. Sandbox is `workspace-write` by default (reads anywhere, writes only to workspace + /tmp). For parallel Codex agents, use **git worktrees** to give each agent an isolated workspace — this prevents file conflicts. Use `--add-dir <path>` if agents need to write outside the workspace.
> **Claude subagents** are the most reliable for complex implementation. Always prefer Claude for tasks touching 3+ files or requiring deep codebase understanding.
> **Ollama**: Model is configurable via `OLLAMA_MODEL` env var (default: `llama3.2`).

## Workflow

### Step 1: Analyze & Decompose

Extract from planning docs:
- DB migrations (independent)
- Models (depends on migration)
- Handlers (depends on models)
- Frontend (often independent)

### Step 2: Wave Execution

```
Wave 1 (parallel): Migration + Frontend + Types
Wave 2 (after migration): Models
Wave 3 (after models): Handlers
```

### Step 3: Run Agents

```bash
mkdir -p .context/impl
ROUND=$(printf "R%02d" $(( $(ls .context/impl/R*-*.md 2>/dev/null | sed 's/.*\/R\([0-9]*\)-.*/\1/' | sort -rn | head -1 | sed 's/^0*//') + 1 )))
```

**Claude (complex logic):**
```typescript
Task({
  subagent_type: "general-purpose",
  prompt: `Read task file: .context/impl/${ROUND}-tasks.md
Implement the assigned tasks and save implementation notes to .context/impl/${ROUND}-claude.md`,
  run_in_background: true
})
```

**Codex (code generation):**

For parallel Codex agents, create git worktrees first:
```bash
# Create isolated worktree per agent
git worktree add -b impl/{feature} /path/to/worktree-{feature} main
cd /path/to/worktree-{feature} && pnpm install
```

Then run Codex in each worktree:
```bash
PROJ_DIR="$(pwd)"
nohup codex exec --full-auto \
  -C /path/to/worktree-{feature} \
  --add-dir "${PROJ_DIR}/.context/impl" \
  -o "${PROJ_DIR}/.context/impl/${ROUND}-codex.md" \
  "Read task file at ${PROJ_DIR}/.context/impl/${ROUND}-tasks.md and implement all described changes. Run tests to verify." \
  > "${PROJ_DIR}/.context/impl/${ROUND}-codex.log" 2>&1 &
```
> **Key Codex notes:**
> - Use `-C dir` for working directory (must be a git repo), `-o file` for last message, `nohup ... &` for background
> - Always redirect both stdout and stderr to a log file (`> log 2>&1 &`)
> - Sandbox: `workspace-write` (reads anywhere, writes only to workspace + /tmp)
> - Use **absolute paths** for task files and log files (they're outside the worktree)
> - Use `--add-dir <path>` if agent needs to write to additional directories
> - Codex DOES write files successfully — don't mistake slow log output for failure; check worktree for actual file writes
> - After completion, copy files from worktree to main, then clean up: `git worktree remove /path/to/worktree --force`

**Gemini (tests/docs/review):**
```bash
# For planning/review output (no file writes needed):
nohup gemini -p "Review and generate test plan for: .context/impl/${ROUND}-tasks.md" \
  -o text > .context/impl/${ROUND}-gemini.md 2>/dev/null &

# For file-writing tasks (auto-approve):
nohup gemini -p "Implement tasks from .context/impl/${ROUND}-tasks.md" \
  --yolo -o text > .context/impl/${ROUND}-gemini.log 2>/dev/null &
```
> Use `--yolo` when Gemini needs to write files. Without it, Gemini prompts for approval and hangs in background.

### Step 4: Guide User (NO MONITORING)

**IMPORTANT:** Don't poll for completion. Output this guide:

```markdown
## Agents Running (${ROUND})

| Agent  | Output |
|--------|--------|
| Claude | .context/impl/${ROUND}-claude.md |
| Codex  | .context/impl/${ROUND}-codex.md |
| Gemini | .context/impl/${ROUND}-gemini.md |

Check results manually:
- `ls .context/impl/${ROUND}-*.md`
- `git status`

When done, ask me to "확인해줘" or "빌드 체크"
```

## Token Efficiency

1. **Input**: Write task instructions to `.md` file, pass path only
2. **Output**: Agents save structured markdown summaries
3. **Verify**: Read summaries only, not full output

See [references/token-efficiency.md](references/token-efficiency.md) for details.

## Output Structure

```
.context/impl/
├── R01-tasks.md              # Round 1: task decomposition
├── R01-claude.md             # Round 1: Claude implementation notes
├── R01-codex.md              # Round 1: Codex implementation notes
├── R01-gemini.md             # Round 1: Gemini test/review notes
├── R01-summary.md            # Round 1: merged summary
├── R02-tasks.md              # Round 2: follow-up tasks
├── R02-claude.md
└── R02-summary.md
```

## Best Practices

**DO:**
- Use markdown files for task instructions
- Respect dependency order (migration → models → handlers)
- Let user check completion manually

**DON'T:**
- Poll TaskOutput repeatedly (token waste)
- Run 10+ agents simultaneously
- Have multiple agents edit same file

## References

- [Provider setup & CLI install](references/providers.md)
- [Agent prompt templates](references/templates.md)
- [Wave execution strategy](references/parallel-patterns.md)
- [Token efficiency patterns](references/token-efficiency.md)
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