Session Recovery

SkillProductivity

Lets your agent break down and run complex workflows step by step with enforced checks instead of guessing.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Session Recovery skill

About this capability

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/planning-with-files/skills/session-recovery/SKILL.md and read by ahel’s review.

Detect and recover previous planning sessions, reconstructing lost context from persistent planning files.

Agent

Session Manager - pwf-session-manager

Workflow

  1. Check project path for existing planning files
  2. Check ~/.claude/projects/ for session data
  3. Find last planning file update timestamp
  4. Extract post-update conversation context (lost context)
  5. Build catchup report summarizing accomplished work
  6. Merge recovered state into current session

Inputs

  • projectPath - Root path for planning files
  • sessionId - Session identifier for recovery
  • previousSessionPath - Path to previous session (optional)

Outputs

  • Recovery report with completed phases and lost context estimate
  • Merged session state with preserved checkboxes
  • Catchup summary for manual sync

Process Files

  • planning-orchestrator.js - Session recovery at startup
  • planning-session.js - Full recovery pipeline

Signals

GitHub stars
2k
Forks
106
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
session-recovery
Source
github.com/a5c-ai/babysitter