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atft-autonomy

@wer-inc/gogooku3
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Coordinate Claude Code skills with OpenAI Codex autonomous workflows for end-to-end ATFT-GAT-FAN maintenance.

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SKILL.md

name atft-autonomy
description Coordinate Claude Code skills with OpenAI Codex autonomous workflows for end-to-end ATFT-GAT-FAN maintenance.
proactive true

ATFT Autonomy Skill

Mission

  • Seamlessly orchestrate Claude and Codex agents to keep the ATFT-GAT-FAN stack production-ready.
  • Decide when to run deep Codex analyses versus fast Claude remediations.
  • Maintain shared context (AGENTS.md, health snapshots, run logs) across agents.

Engagement Signals

  • Requests to “run full autonomous maintenance”, “coordinate Claude and Codex”, or “schedule daily self-healing”.
  • Situations where an issue spans multiple domains (dataset + training + quality).
  • Need to generate or refresh .mcp.json, AGENTS.md, or other shared configs.

Preflight Checklist

  1. Confirm tool availability:
    • command -v codex (expect npm package @openai/codex).
    • command -v ./tools/claude-code.sh.
  2. Verify configuration files:
    • .mcp.json exists with filesystem/git servers (tools/codex.sh recreates if missing).
    • AGENTS.md up to date with latest guidelines.
  3. Run snapshot diagnostics:
    • tools/project-health-check.sh --summary (logs to _logs/health-checks/).
    • nvidia-smi and df -h to ensure resource headroom before long autonomous jobs.

Core Playbooks

1. Full Daily Autonomy Loop

  1. ./tools/claude-code.sh --no-check "Run proactive maintenance checklist" — quick fixes + TODO updates.
  2. ./tools/codex.sh --max --exec "Perform deep optimization sweep across dataset, training, and research modules" — longer Codex session with MCP.
  3. Append combined findings to docs/ops/autonomy_log.md (capture commands run, deltas, next steps).
  4. git status --short → review diffs, ensure no unintended drift.

2. Incident Response (multi-domain failure)

  1. Launch Claude for rapid triage: ./tools/claude-code.sh "Investigate failed training and prepare briefing for Codex".
  2. Pass Claude findings to Codex:
    ./tools/codex.sh --exec "Read docs/ops/incident_brief.md and propose remedial plan".
  3. Execute agreed actions (dataset rebuild, training rerun, quality checks).
  4. Update docs/ops/incident_log.md with both agents’ actions and resolutions.

3. Scheduled Autonomous Optimization

  1. Add cron entry (example):
    0 2 * * * cd /workspace/gogooku3 && ./tools/codex.sh --max >> _logs/daily-optimization.log 2>&1.
  2. Pair with weekly Claude sweep:
    0 7 * * MON cd /workspace/gogooku3 && ./tools/claude-code.sh --no-check >> _logs/weekly-claude.log 2>&1.
  3. Summarize improvements weekly by aggregating _logs/codex-sessions/*.log and _logs/claude-code/*.log; record highlights in docs/ops/weekly_autonomy_report.md.

Shared Context Management

  • Ensure both agents read CLAUDE.md and AGENTS.md before editing high-risk files.
  • Rotate docs/SKILLS_GUIDE.md and claude/skills/ when procedures change.
  • Store cross-agent decisions in EXPERIMENT_STATUS.md or docs/ops/autonomy_log.md.

Failure Handling

  • Codex CLI missing → npm install -g @openai/codex.
  • MCP server errors → regenerate .mcp.json via ./tools/codex.sh and restart run.
  • Conflicting edits → consolidate drafts under docs/ops/autonomy_pending/ and resolve manually.
  • Resource saturation → stagger Claude/Codex runs, cap concurrency in cron.

Handoff

  • After combined sessions, notify stakeholders by updating docs/ops/weekly_autonomy_report.md.
  • Attach session logs _logs/codex-sessions/*.log and _logs/claude-code/*.log for audit.
  • Re-sync ~/.claude/skills/ so Claude picks up any procedural updates discovered during Codex runs.