Findings Capture
SkillProductivityLets your agent break down and manage complex multi-step tasks with enforced, verifiable steps.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Findings Capture 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/findings-capture/SKILL.md and read by ahel’s review.
Capture and persist research findings, discoveries, and decision rationale to findings.md.
Agent
Findings Curator - pwf-findings-curator
Workflow
- Initialize findings.md with structured section headers
- Capture findings during execution with timestamps
- Apply 2-Action Rule: persist after every 2 operations
- Record decisions with supporting rationale
- Deduplicate and organize on final flush
- Analyze coverage for verification
Inputs
projectPath- Root path for planning filesphaseName- Current phase namefindings- Array of finding objectsdecisions- Array of decision objects
Outputs
- Updated findings.md with organized, timestamped entries
- Coverage analysis for verification
Process Files
planning-orchestrator.js- Findings initialization and appendingplanning-execution.js- 2-Action Rule batches and final flushplanning-verification.js- Coverage analysis
Signals
- GitHub stars
- 2k
- Forks
- 106
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
findings-capture- Source
- github.com/a5c-ai/babysitter