pmf-validation
Agent-Native PMF ไบงๅๅธๅบๅน้ ้ช่ฏ้ขๅ๏ผ็จๅค Agent ๆจกๆๆฟไปฃ้ซๆๆฌ็ๅฎๆต้ๆต่ฏ๏ผ้ขๅคไบงๅไธๅธๅบ็ๅน้ ็จๅบฆใ
Agent-Native PMF ไบงๅๅธๅบๅน้ ้ช่ฏ้ขๅ๏ผ็จๅค Agent ๆจกๆๆฟไปฃ้ซๆๆฌ็ๅฎๆต้ๆต่ฏ๏ผ้ขๅคไบงๅไธๅธๅบ็ๅน้ ็จๅบฆใ
Sibyl ๆฏ่พๅๆ่ agent - ๅฏนๆ SOTA ๅๅ็ฑปๅทฅไฝ๏ผๅฎไฝ็ปๆ่ดก็ฎ
Sibyl ๅๅฏน่ agent - ๆๆไธปๆตๅ่ฎพ๏ผๅฏปๆพๅ้ข่ฏๆฎๅ็ฒ็น
Sibyl ็ปๆ่พฉ่ฎบ็ปผๅ่ agent - ็ปผๅ6ๆน็ปๆๅๆๅฝขๆ็ปไธๅคๆญๅ่กๅจ่ฎกๅ
Sibyl pilot ้ช่ฏๅณ็ญ agent - ๆ นๆฎๅฐๅฎ้ช็ปๆๅณๅฎ ADVANCE / REFINE / PIVOT
Sibyl ็็ฃๅณ็ญ agent - ๅๆๅฎ้ช็ปๆๅณๅฎ PIVOT ่ฟๆฏ PROCEED
Chart selection, color theory, dashboard design, and data storytelling principles for political transparency data
ClickHouse schema design, query optimization, and operational best practices for production deployments.
Compression codecs, TTL policies, tiered storage, part management, and disk space optimization.
Citizen Intelligence Agency data model integration, riksdag data processing, political entity mapping
Data classification enforcement, sensitivity labeling, and handling controls per classification level for the CIA platform
Data pipeline design, ETL processes, Spring Integration patterns, batch processing for political data
Data classification (CIA triad), GDPR privacy by design, encryption standards, data lifecycle management
Audits charts, graphs, dashboards, and data visualizations for accessibility. Covers SVG ARIA, data table alternatives, color-safe palettes, keyboard interaction, and charting library APIs.
Data table accessibility specialist for web applications. Use when building or reviewing any data table, sortable table, grid, spreadsheet-like interface, comparison table, pricing table, or any tabular data display. Covers proper markup, scope, caption, headers, sortable columns, responsive patterns, and ARIA grid/treegrid roles. Applies to any web framework or vanilla HTML/CSS/JS.
CI/CD accessibility pipeline patterns, axe-core CLI configuration, SARIF output, PR annotations, baseline management, and multi-platform CI templates. Reference data for CI accessibility setup.
๋๋ ธ๋ฐ๋๋ ํ๋กฌํํธ์ ์ ํ์ฑ์ ํ๊ธ ๋ฒ์ญ๋ณธ๊ณผ ๋น๊ตํ์ฌ ๊ฒ์ฆํ๊ณ , WebSearch๋ก ํฉํธ์ฒดํฌํ ํ ์ด์๋ณ๋ก ์ฌ์ฉ์ ํ์ธ์ ๊ฑฐ์ณ ์์ ํฉ๋๋ค. ์ฌ์ฉ: /improve-prompt week1/deep-dive-llms/tokenization
Reading ์๋ฌธ์์ ๋๋ ธ๋ฐ๋๋ ํ๋ก์ฉ ์นํธ์ํธ ํ๋กฌํํธ๋ฅผ ์์ฑํฉ๋๋ค. 3๋จ๊ณ ์์ด์ ํธ ํ์ดํ๋ผ์ธ(๋ถ์โ๊ตฌ์กฐ์ค๊ณโํ๋กฌํํธ์์ฑ)์ผ๋ก ์ฝํ ์ธ ์ ํ์ ๋ง๋ ํ๋กฌํํธ ์์ฑ. ์ฌ์ฉ: /nanobanana week1/slug
This skill should be used when users want to fine-tune language models or perform reinforcement learning (SFT, DPO, GRPO, ORPO, KTO, SimPO) using the highly optimized Unsloth library. Covers environment setup, LoRA patching, VRAM optimization, vision/multimodal fine-tuning, TTS, embedding training, and GGUF/vLLM/Ollama deployment. Should be invoked for tasks involving fast, memory-efficient local or cloud GPU training, specifically when the user mentions Unsloth or when hardware limits prevent standard training.