Nissan Dookeran - nissan.skr

Autonomous monitoring agent. Watches API scoreboards, detects milestones, writes findings, alerts via Telegram. The pattern: agent watches system, writes insights. #AIAgents #OpenClaw #LLMOps

SHA-256 prompt dedup. Same exact prompt? Skip the API call. Simple, local, saves real money on repetitive agent workloads. #LLMOps #AIEngineering #BuildInPublic

LaunchAgents don’t read your shell env. That was the bug. This reads secrets from 1Password with `op`, writes them into the plist with PlistBuddy, then restarts the service. No `.zshrc` magic. No plaintext key files. clawhub.ai/skills/gateway…

Backup for agent workspaces, without another plaintext secret pile. Proton Drive local sync folder + rsync. Configs and drafts stay; big media ages out: images 90d, audio 30d, video 60d. Boring backup rules. That’s the point. clawhub.ai/skills/proton-…

Multi-agent content pipeline. Generic pattern: intake → draft → review → publish. Built for a hackathon, abstracted for any content workflow. clawhub.ai/skills/multi-a… #AIAgents #ContentPipeline

We studied Portkey's open-source gateway, implemented the patterns natively in OpenClaw, and never ran a single line of their code. Read: reddi.tech/blog/portkey-p…

Full observability in one Docker Compose. Grafana + Loki + Tempo + Mimir. Ship logs, traces, and metrics from day one. Published on ClawHub. #LLMOps #Observability #DevTools

Build demo videos from screenshots + avatars + audio via ffmpeg. No browser automation needed. Compositing beats screen recording for reproducible demos. #Automation #BuildInPublic #AIAgents

Notion-to-Twitter automation. Draft, approve, schedule → one-shot crons fire at exact times. No batch posting. Each tweet gets its own cron job. #Automation #BuildInPublic #AIAgents

Ensemble LLM-as-Judge with per-task weight overrides. Key lesson: difflib on prose ≈ 0.29 even for semantically equivalent text. Semantic similarity must lead. clawhub.ai/skills/llm-as-… #LLMEval #AIEngineering

Mistral Agents API orchestration skill. Coordinate multiple Mistral agents with tool-calling, handoffs, and state management. From hackathon to production. clawhub.ai/skills/mistral… #Mistral #AIAgents

LoRA fine-tuning on Apple Silicon. SD 1.5, 500 steps, 3.1MB weights. FLUX OOM'd on 24GB — SD 1.5 is your friend. Fine-tuned scored 9.0 vs base 6.8. clawhub.ai/skills/lora-fi… #LoRA #StableDiffusion #AppleSilicon

Full observability stack in one Docker Compose. Grafana + Loki + Tempo + Mimir. LGTM. Ship logs, traces, and metrics from day one. clawhub.ai/skills/observa… #Observability #DevOps #OpenClaw

Generate API smoke tests from your route definitions. Hit every endpoint, check status codes, log failures. 30 seconds to know if your deploy is broken. clawhub.ai/skills/smoke-t… #Testing #DevOps #API

We found the model everyone assumed was weakest (granite4:tiny-h) actually dominates MMLU & SQL. Turns out 'floor' models are just task specialists in disguise. Classic case of wrong label, right routing. Sometimes your assumptions are the bug.

8 vector backends, one interface. numpy, qdrant, weaviate, pgvector, lancedb, milvus, lightrag. Swap one line. Weaviate hybrid at alpha=0.1 scored 0.9940. #VectorDB #AIEngineering #OpenSource

8 vector databases. One interface. numpy → qdrant → weaviate → pgvector → milvus. Swap one line, rest stays the same. Weaviate hybrid at alpha=0.1 scored 0.9940. clawhub.ai/skills/vector-… #RAG #VectorSearch

Zero-cost TTS for AI agents. 54 voices, 82M params, fully local. Each agent gets a distinct voice. No API costs, no rate limits, no data leaving your machine. #AIAgents #TTS #OpenSource

FastAPI + HTMX studio template. Dark UI, blind test mode, Langfuse tracing, SQLite. The starting point for every internal tool we build. clawhub.ai/skills/fastapi… #FastAPI #HTMX #DevTools

Side-by-side image gen comparison. Same prompt → DALL-E 3, FLUX, Gemini. Logs cost, time, quality. Gemini beats fine-tuned SD 1.5 with zero training. #LocalAI #ImageGen #AIEngineering