Menu
Learned skill -- when the task mentions "not", run this proven sequence (5 successful runs, confidence 1.00).
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Legacy compatibility alias for `/simplicio-loop`. Use only when an older install, adapter, or saved prompt still invokes `/simplicio-tasks`; immediately route the run through `.claude/skills/simplicio-loop/SKILL.md`, which now owns the public core + loop protocol.
Operate and troubleshoot local Hermes/Simplicio gateway services safely, including config edits, launchd/service restarts, and live verification with logs.
Transforma a memória do Simplicio (memory_items + embeddings all-MiniLM) em um knowledge graph consultável — nós + arestas, comunidades, god nodes, path/explain/query. Port do conceito Graphify (Graphify-Labs) reusando a infra já existente (neural-recall, vec0).
Legacy compatibility alias for `/simplicio-loop`. Use only when an older install, adapter, or saved prompt still invokes `/simplicio-tasks`; immediately route the run through `.claude/skills/simplicio-loop/SKILL.md`, which now owns the public core + loop protocol.
Evolutionary optimize-by-metric loop — mutate a target, evaluate against fixed criteria, KEEP if the score improves (commit) or REVERT if it doesn't (git checkout), repeat, plateau-break after N stagnated runs. Adapts Karpathy's `autoresearch` pattern (and the ECC `autoresearch-agent`) with mandatory yool guardrails (§11 caps), git-isolated branch discipline, an anti-Goodhart eval order (correctness gate FIRST, score SECOND, labeled tokenizer), a local-first mutation ladder, and a `simplicio.savings-event/v1` receipt per run. Use when the user says "optimize this by <metric>", "autoresearch loop", "evolutionary optimize", "mutate/eval/keep-revert", or asks to shrink tokens/latency/bundle size/improve pass-rate against a fixed, measurable eval. Worker: `scripts/autoresearch.py`.
Cut output and memory tokens without losing meaning — terse prose levels (caveman-style) that preserve code/paths/URLs byte-for-byte, plus a one-time memory/doc compaction pass that pays back every future turn. Use when replies or worker reports are verbose, when standing context (CLAUDE.md/AGENTS.md/notes) is bloated, or when simplicio-tasks needs its output-side + input-side token discipline. Compression NEVER touches code, identifiers, or a safety confirmation.
| name | auto-not-6 |
| description | Learned skill -- when the task mentions "not", run this proven sequence (5 successful runs, confidence 1.00). |
| metadata | {"type":"learned","source":"meta-loop-auto"} |
Trigger: the task mentions not.
Proven steps (mined deterministically from 5 successful runs):
runtime.changed-files --repo /Users/wesleysimplicio/Projetos/ai/simplicio-agentruntime.targeted-testsruntime.build-checkruntime.api-smoke --contracts .simplicio/endpoint-inventory.jsonplaywright testruntime.full-repo-validation