Назад към всички

planning-in-background

// Orchestrates multiple AI agents (Claude, Codex, Gemini) for parallel planning in the background with auto-save. Agents continue running even when session hits context limits. Use for "백그라운드 기획", "bg plan", "병렬 기획", "멀티 AI 기획", "기획해줘", "N명이 기획", "계획", "플래닝", "plan", "설계" requests.

$ git log --oneline --stat
stars:6
forks:1
updated:February 27, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameplanning-in-background
descriptionOrchestrates multiple AI agents (Claude, Codex, Gemini) for parallel planning in the background with auto-save. Agents continue running even when session hits context limits. Use for "백그라운드 기획", "bg plan", "병렬 기획", "멀티 AI 기획", "기획해줘", "N명이 기획", "계획", "플래닝", "plan", "설계" requests.
allowed-toolsRead, Bash, Grep, Glob, Task, Write, Edit, TodoWrite, AskUserQuestion
priorityhigh
tagsplanning,background,parallel-execution,autonomous,multi-llm,codex,gemini

Background Planner

Multi-LLM parallel planning with context-safe auto-save.

Quick Start

# 1. Parse topic and perspectives
# 2. Create: .context/plans/
# 3. Determine round: R01, R02, ...
# 4. Run agents in background → {round}-{agent}.md
# 5. Guide user to merge when ready

Output Convention

.context/plans/
├── R01-claude.md          # Round 1: Claude's plan
├── R01-codex.md           # Round 1: Codex's plan
├── R01-gemini.md          # Round 1: Gemini's plan
├── R01-merged.md          # Round 1: merged plan
├── R02-claude.md          # Round 2: refined after feedback
└── R02-merged.md

Round number increments each planning iteration:

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

Provider Selection

ProviderBest ForCommand
ClaudeComplex analysis, architecture, deep codebase readingTask({ run_in_background: true })
CodexTechnical specs, code designnohup codex exec --full-auto -o {output.md} "prompt" > log 2>&1 &
GeminiCreative ideas, UX design, long docsnohup gemini -p "prompt" -o text > {output.md} 2>/dev/null &
OllamaSensitive data, localollama run llama3.2

Gemini v0.26+: Use -p "prompt" for non-interactive, -o text for clean output, --yolo for auto-approve file writes. Redirect stdout to file: > output.md. Do NOT use -s (that's --sandbox, not silent). Codex v0.101+ (model: gpt-5.3-codex): Use codex exec --full-auto for non-interactive. 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). Use --add-dir <path> for additional writable directories. Codex DOES write files in nohup mode — check the workspace for actual file outputs, not just the log.

Workflow

Step 1: Setup

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

Step 2: Run Agents

Claude:

Task({
  subagent_type: "general-purpose",
  prompt: `기획 주제: ${topic}
관점: ${perspective}
결과 저장: .context/plans/${ROUND}-claude.md`,
  run_in_background: true
})

Codex:

nohup codex exec --full-auto \
  --add-dir .context/plans \
  -o .context/plans/${ROUND}-codex.md \
  "Plan ${topic} from technical perspective. Save to .context/plans/${ROUND}-codex.md" \
  > .context/plans/${ROUND}-codex.log 2>&1 &

Gemini:

nohup gemini -p "Plan ${topic} creatively. Output a well-structured markdown plan." \
  -o text > .context/plans/${ROUND}-gemini.md 2>/dev/null &

Note: Gemini -p runs non-interactively. -o text gives clean text output. Redirect stdout > to save to file. Use --yolo if the prompt requires file system access.

Step 3: Guide User (NO POLLING)

## Planning Agents Running (${ROUND})

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

Check results:
- `ls .context/plans/${ROUND}-*.md`

When ready, ask me to "머지해줘" or "결과 확인"

Step 4: Merge (on request)

Read all ${ROUND}-*.md plan files and create .context/plans/${ROUND}-merged.md:

  • Compare perspectives
  • Highlight agreements/conflicts
  • Synthesize final recommendation

Best Practices

DO:

  • Use 2-4 agents for diverse perspectives
  • Let each agent save directly to file
  • Wait for user to request merge

DON'T:

  • Poll for completion (token waste)
  • Run 5+ agents (diminishing returns)
  • Merge before all agents complete