shahshrey

Run the morning standup. Use when {{OWNER_NAME}} says "good morning", "standup", or "what's on my plate".

Compress and save the key context from this session to the daily log. Run before ending a long session.

Search through all past daily logs, cold memory files, and conversation history. Use when {{OWNER_NAME}} asks "when did we...", "do you remember...", "what did I say about...", or needs context from a past session.

Bootstrap an UnClaw agent from scratch. Converts a stock Claude Code instance into a persistent personal agent with identity, memory, and scheduling.

Proactive check-in with pre-gathered context. Run automatically via launchd every 30 minutes.

Distill this session's key learnings into long-term memory. Use after completing significant work or when user says "update memory" or "save this session".

Extract key learnings from daily logs and promote them to identity/memory.md. Run automatically via launchd once per day, or manually after a productive day.

Recursive self-improvement loop. Reviews and improves the agent's own skills, rules, identity files, hooks, and scripts based on recent usage patterns. Runs nightly via launchd or manually with /self-improve.

Generates and evaluates images from a trained portrait LoRA using fal-ai/flux-lora, including LoRA scale sweeps, local image downloads, and review contact sheets. Use when the user asks to run inference, generate, render, sample, or test images from a LoRA; to check likeness or whether a LoRA is overtrained; or mentions flux-lora, lora_scale, safetensors weights, a trigger phrase in a prompt, guidance scale, image_size, or seeds.

Prepares portrait LoRA training datasets: face-centered 1024x1024 crops, mandatory visual QA and manual crop correction, contact sheets, ZIP packing, and descriptive [trigger] captions via Florence-2. Use when preparing images for FLUX portrait training, fal-ai/flux-lora-portrait-trainer, Kohya, or person LoRA training; or when the user mentions dataset prep, captioning training images, cropping faces for LoRA, or building training ZIP archives.

Validates, uploads, submits, monitors, and persists fal portrait LoRA training runs using fal-ai/flux-lora-portrait-trainer. Use when the user asks to train, fine-tune, start, submit, or monitor a portrait/person LoRA from a prepared ZIP; or mentions images_data_url, trigger_phrase, portrait trainer, training steps, learning rate, LoRA weights, or a fal training request.