Skill: newageinvestments25-byte/nai-workflow-crystallizer (version 1.1.0)

--- name: workflow-crystallizer description: "Analyze memory logs to detect recurring patterns and suggest automations — cron jobs, skills, or workflow shortcuts. The agent builds its own shortcuts over time. Use when: pattern analysis, workflow patterns, recurring tasks, what do I keep doing, suggest automations, crystallize workflows, detect habits, optimize my workflows, what should be automated." --- # Workflow Crystallizer Mines memory logs (`memory/YYYY-MM-DD.md`) for recurring patterns — repeated requests, multi-step workflows, time-correlated tasks — and generates actionable suggestions: cron jobs, skill drafts, workflow shortcuts, or monitoring proposals. Unlike a one-shot "analyze my logs" prompt, this skill persists state across runs. It remembers what it suggested, what was accepted/rejected, and only surfaces new insights backed by real evidence. All scripts live in `scripts/` relative to this SKILL.md. --- ## Quick Run (Full Pipeline) ```bash cd /Users/openclaw/.openclaw/workspace/skills/workflow-crystallizer python3 scripts/analyze_patterns.py --full | python3 scripts/generate_suggestions.py | python3 scripts/report.py --state-file state.json ``` This analyzes all memory files, generates suggestions, and prints a markdown report. ## Incremental Run (Cached — Recommended) ```bash cd /Users/openclaw/.openclaw/workspace/skills/workflow-crystallizer python3 scripts/analyze_patterns.py | python3 scripts/generate_suggestions.py | python3 scripts/report.py --state-file state.json ``` Only processes new/modified memory files. Uses cached events from prior runs. ## Managing Suggestions Check state: `python3 scripts/state.py` — shows cached dates, events, suggestions. To accept/reject/snooze: edit `state.json` directly. Set `status` to `accepted`, `rejected` (add `rejection_reason`), or `snoozed`. Or use `state.py` imports. Reset everything: `python3 scripts/state.py --reset` --- ## Individual Scripts Each script accepts `--help`. Key options: - `analyze_patterns.py`: `--memory-dir PATH`, `--state-file PATH`, `--full`, `--min-confidence 0.4` - `generate_suggestions.py`: `--state-file PATH`, `--cron-path PATH`, `--clusters FILE` - `report.py`: `--state-file PATH`, `--output PATH`, `--clusters FILE`, `--suggestions FILE` - `state.py`: (no args = inspect state), `--reset` (clear everything) --- ## What It Detects | Pattern Type | Evidence Needed | Suggestion Output | |---|---|---| | Recurring request | 3+ occurrences, 2+ days | Workflow shortcut or monitor | | Multi-step workflow | 2+ occurrences with step similarity | Skill draft | | Time-correlated | 2+ at similar times/days | Cron job definition | | Already formalized | Contains "cron", "automated", etc. | Skipped (no suggestion) | | Project (not pattern) | Same entity, different actions | Skipped | See `references/pattern-types.md` for detailed detection logic and scoring weights. --- ## How It Avoids Being Annoying - **Max 3 suggestions per run** — quality over quantity - **Confidence threshold (60%)** — no low-quality guesses - **Deduplication** — checks existing crons and skills before suggesting - **Never repeats** — tracks what was already suggested - **Snooze** — deferred suggestions resurface after 30 days - **Rejected = dormant** — only resurfaces at 80%+ confidence with new evidence --- ## Scheduling Run weekly via cron or heartbeat. Cost: ~5-10K tokens incremental, ~30K first run. ``` Name: Weekly Workflow Crystallizer Schedule: 0 20 * * 0 (Sunday 8 PM ET) Message: Run the workflow-crystallizer skill and present any new suggestions. ``` ## Troubleshooting - **No patterns:** Need 3+ days of substantive memory files - **All filtered:** Existing crons/skills already cover detected patterns - **State corrupt:** `python3 scripts/state.py --reset` - **Too noisy:** Increase `min_confidence` in `state.json` config


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)