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session-isolation

Use when orchestrating workflows that generate multiple files (designs, reviews, reports) to prevent file collisions across concurrent or sequential sessions with unique session directories.

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MadAppGang/claude-code
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2026년 2월 9일 02:27
감지된 SKILL.md 언어
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name
session-isolation
description
Use when orchestrating workflows that generate multiple files (designs, reviews, reports) to prevent file collisions across concurrent or sequential sessions with unique session directories.
keywords
["session-isolation","artifact-isolation","file-collision","concurrent-sessions","sequential-workflows","session-directory","multi-artifact","session-metadata"]
plugin
multimodel
updated
2026-01-20T00:00:00.000Z
# Session Isolation Pattern Session-based artifact isolation for multi-artifact workflows. Use when orchestrating workflows that generate multiple files (designs, reviews, reports) to prevent file collisions across concurrent or sequential sessions. ## Problem When multiple workflows run (even sequentially), artifacts with the same name collide: ``` Session 1 (SEO): writes ai-docs/plan-review-grok.md Session 2 (API): writes ai-docs/plan-review-grok.md <-- OVERWRITES! ``` ## Solution Use unique session folders to isolate artifacts: ``` ai-docs/sessions/agentdev-seo-20260105-143022-a3f2/ ├── session-meta.json # Session tracking ├── design.md # Primary artifact ├── reviews/ │ ├── plan-review/ # Plan review phase │ │ ├── internal.md │ │ ├── grok.md │ │ └── consolidated.md │ └── impl-review/ # Implementation review phase │ ├── internal.md │ └── consolidated.md └── report.md # Final report ``` ## Implementation Pattern ### 1. Session Initialization (Orchestrator) Add to Phase 0 of your orchestrator command: ```bash # Generate unique session path TARGET_SLUG=$(echo "${TARGET_NAME:-workflow}" | tr '[:upper:] ' '[:lower:]-' | sed 's/[^a-z0-9-]//g' | head -c20) SESSION_BASE="${WORKFLOW_TYPE}-${TARGET_SLUG}-$(date +%Y%m%d-%H%M%S)-$(head -c4 /dev/urandom | xxd -p | head -c4)" SESSION_PATH="ai-docs/sessions/${SESSION_BASE}" # Create directory structure mkdir -p "${SESSION_PATH}/reviews/plan-review" \ "${SESSION_PATH}/reviews/impl-review" || { echo "Warning: Cannot create session directory, using legacy mode" SESSION_PATH="ai-docs" } # Create session metadata (if not legacy mode) if [[ "$SESSION_PATH" != "ai-docs" ]]; then cat > "${SESSION_PATH}/session-meta.json" << EOF { "session_id": "${SESSION_BASE}", "type": "${WORKFLOW_TYPE}", "target": "${USER_REQUEST}", "started_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)", "status": "in_progress" } EOF fi ``` ### 2. Pass SESSION_PATH to Sub-Agents Include in all agent prompts: ``` SESSION_PATH: ${SESSION_PATH} {actual task description} Save output to: ${SESSION_PATH}/{artifact_path} ``` ### 3. Sub-Agent SESSION_PATH Detection Add to agent `<critical_constraints>`: ```xml <session_path_support> **Check for Session Path Directive** If prompt contains `SESSION_PATH: {path}`: 1. Extract the session path 2. Use it for all output file paths 3. Primary artifact: `${SESSION_PATH}/{type}.md` 4. Reviews: `${SESSION_PATH}/reviews/{phase}/{model}.md` **If NO SESSION_PATH**: Use legacy paths (ai-docs/) </session_path_support> ``` ### 4. Session Completion Update metadata when workflow completes: ```bash if [[ -f "${SESSION_PATH}/session-meta.json" ]]; then jq '.status = "completed" | .completed_at = (now | strftime("%Y-%m-%dT%H:%M:%SZ"))' \ "${SESSION_PATH}/session-meta.json" > "${SESSION_PATH}/session-meta.json.tmp" && \ mv "${SESSION_PATH}/session-meta.json.tmp" "${SESSION_PATH}/session-meta.json" fi ``` ## Artifact Path Mapping | Artifact Type | SESSION_PATH Format | Legacy Format | |---------------|---------------------|---------------| | Design/Context | `${SESSION_PATH}/design.md` | `ai-docs/agent-design-{name}.md` | | Plan Review | `${SESSION_PATH}/reviews/plan-review/{model}.md` | `ai-docs/plan-review-{model}.md` | | Impl Review | `${SESSION_PATH}/reviews/impl-review/{model}.md` | `ai-docs/impl-review-{model}.md` | | Consolidated | `${SESSION_PATH}/reviews/{phase}/consolidated.md` | `ai-docs/{phase}-consolidated.md` | | Final Report | `${SESSION_PATH}/report.md` | `ai-docs/{workflow}-report-{name}.md` | ## Backward Compatibility **Legacy Mode Triggers:** 1. `SESSION_PATH` not provided in prompt 2. Directory creation fails (permissions) 3. Explicit `LEGACY_MODE: true` in prompt **Behavior:** - Fall back to flat `ai-docs/` paths - Log warning about legacy mode - All features still work, just without isolation ## Session Metadata Schema ```json { "session_id": "agentdev-seo-20260105-143022-a3f2", "type": "agentdev", "target": "SEO agent improvements", "started_at": "2026-01-05T14:30:22Z", "completed_at": "2026-01-05T15:45:30Z", "status": "completed", "phases_completed": ["init", "design", "plan-review", "implementation", "quality-review"], "models_used": ["claude-embedded", "x-ai/grok-code-fast-1", "google/gemini-3-pro"], "artifacts": { "design": "design.md", "plan_reviews": ["reviews/plan-review/internal.md", "reviews/plan-review/grok.md"], "impl_reviews": ["reviews/impl-review/internal.md", "reviews/impl-review/gemini.md"], "report": "report.md" } } ``` ## Plugins Using Session Isolation | Plugin | Command | Session Pattern | |--------|---------|-----------------| | **agentdev** | `/develop` | `agentdev-{target}-{timestamp}-{random}` | | **frontend** | `/review`, `/implement` | `review-{timestamp}-{random}` | | **seo** | `/review`, `/alternatives` | `seo-review-{timestamp}-{random}` | | **multimodel** | `/team` | `team-{task-slug}-{timestamp}-{random}` | ### Team Session Example The `/team` command creates a session for multi-model blind voting: ``` ai-docs/sessions/team-stats-validation-20260209-143022-a3f2/ ├── task.md # Raw task description (shared by all models) ├── grok-result.md # Grok's investigation findings ├── gemini-result.md # Gemini's investigation findings ├── deepseek-result.md # DeepSeek's investigation findings ├── internal-result.md # Internal Claude's findings └── verdict.md # Aggregated verdict with vote breakdown ``` **Key difference from other plugins:** Team sessions contain results from multiple AI models investigating the same task independently. Each model writes to its own result file to prevent conflicts during parallel execution. ## Best Practices 1. **Always initialize early**: Session creation should happen in Phase 0 2. **Include SESSION_PATH in all prompts**: Sub-agents need it for output paths 3. **Use descriptive slugs**: Include workflow type and target in folder name 4. **Update metadata on completion**: Track status changes 5. **Fallback gracefully**: Never fail the workflow due to session creation issues
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