القائمة
Backup and restore SwarmAI workspace (memory, knowledge, projects, config, conversations) to/from a private GitHub repository.
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
Orchestrate the full AIDLC Autonomous Pipeline from a one-sentence requirement to a PR-ready delivery with TDD methodology. DDD drives judgment, SDD produces specs, TDD verifies delivery. Stages: Evaluate, Think, Plan, Build, Review, Test, Deliver, Reflect. Checkpoints on BLOCK or context limits. TRIGGER: "run pipeline", "autonomous pipeline", "pipeline for", "full pipeline". NOT FOR: single stages (use evaluate, deep-research, code-review, qa, deliver directly).
DDD-native autonomous dev loop — judge→execute→reflect on a SINGLE DDD via a bundled, decoupled engine (engine/artifact_cli.py, file-based .artifacts/ state, NO data.db, NO SwarmAI backend). Retains the moat: Gate-2 adversarial-before-commit + the 养成 ladder. DDD-native decouple of SwarmAI's s_autonomous-pipeline engine. TRIGGER: "ddd pipeline", "run the ddd loop", "build in this ddd". NOT FOR: SwarmAI's own multi-project pipeline (that's the native s_autonomous-pipeline).
Package a grown DDD into a distributable capability package — the last step of the DDD lifecycle (cultivate → version → DISTRIBUTE). Human-in-the-loop: reads the DDD's OWN declared reach (aim.json distribution block = the ceiling), confirms which declared target(s) to emit NOW, renders BOTH standard shapes on demand — an internal AIM capabilities package (Config+AIMBuild+agent-spec) and/or an Open-Plugins plugin (.plugin/plugin.json) — runs a fail-closed content-safety scan over the emitted tree, and returns the built package path. Never widens reach by inference; emit ≠ publish. TRIGGER: "distribute this ddd", "package ddd", "ship ddd to kiro/quick/claude code", "publish ddd", "make a plugin from this ddd". NOT FOR: creating/binding a DDD (s_ddd-manager); running the pipeline (s_ddd-pipeline); publishing content/media (s_ddd-pollinate).
Create, list, edit, rename, and delete DDD projects (Domain-Driven Design) — provisions the canonical six-section DDD structure. Each project gets 4 knowledge documents (PRODUCT.md, TECH.md, IMPROVEMENT.md, PROJECT.md) and an .artifacts/ directory for pipeline outputs. TRIGGER: "add project", "new project", "create project", "rename project", "create DDD". NOT FOR: radar-todo use cases.
Estimate token count for files using the bundled script. TRIGGER: "estimate tokens", "count tokens", "token usage", "context window size". DO NOT USE: for manual token math — always run the script.
Full SwarmAI release cycle: preflight checks, version bump, binary build, desktop package, smoke test, and GitHub publish. Supersedes s_release (which only does version bump + tag) by adding build/package/smoke stages. TRIGGER: "release", "cut release", "ship it", "发版". NOT FOR: s_swarm-build, s_release, s_swarm-hive use cases.
| name | workspace-backup |
| disable-model-invocation | true |
| description | Backup and restore SwarmAI workspace (memory, knowledge, projects, config, conversations) to/from a private GitHub repository. |
| tier | lazy |
| platform | all |
Manage workspace backups to a private GitHub repository. Your memory, knowledge, projects, config, and conversation history are backed up daily and can be restored on a new machine.
TRIGGER: "backup workspace", "backup now", "restore workspace", "backup status", "configure backup", "when was last backup", "备份", "恢复workspace". DO NOT USE: for git operations on the swarmai codebase (use workspace-git), for file search (use workspace-finder), or for project CRUD (use ddd-manager).
curl -s "http://localhost:$(cat ~/.swarm-ai/backend.json | python3 -c 'import sys,json;print(json.load(sys.stdin)["port"])')/api/system/backup/status" | python3 -m json.tool
Shows: last_backup timestamp, repo_url, schedule, enabled.
curl -s -X POST "http://localhost:$(cat ~/.swarm-ai/backend.json | python3 -c 'import sys,json;print(json.load(sys.stdin)["port"])')/api/system/backup" | python3 -m json.tool
Exports DB tables, copies config, commits and pushes to GitHub.
curl -s -X PUT "http://localhost:$(cat ~/.swarm-ai/backend.json | python3 -c 'import sys,json;print(json.load(sys.stdin)["port"])')/api/system/backup/config" \
-H "Content-Type: application/json" \
-d '{"repo_url": "https://github.com/USER/REPO.git", "token": "ghp_..."}' | python3 -m json.tool
When the API isn't available (e.g., daemon not running), use Python directly:
import asyncio
from core.backup_manager import BackupManager
# Backup
result = asyncio.run(BackupManager().backup())
print(result)
# Status
print(BackupManager().get_status())
# Restore (on a fresh machine)
async def restore():
mgr = BackupManager()
async for event in mgr.restore(repo_url="https://github.com/USER/REPO.git"):
print(event)
asyncio.run(restore())
| Layer | Content | Size |
|---|---|---|
| L1 (git) | .context/, Knowledge/, Projects/, config | ~240MB |
| L2 (DB dump) | messages, sessions, todos, token_usage, etc. | ~8MB gz |
| L3 (skip) | embeddings, FTS, knowledge_chunks | Rebuilt on restore |
com.swarmai.backup at 3:30 AM dailycom.swarmai.backup)~/.swarm-ai/.backup-token (chmod 600)SWARM_BACKUP_TOKEN env var