Explorar skills

Generate comprehensive milestone summary from archived artifacts. For team onboarding and stakeholder review.

Reconfigure an existing Plan-Build-Run project (models, features, CLAUDE.md).

Manage user expectations during wait times with appropriate loading states — from simple spinners to complex skeleton screens and staggered animations. Perceived performance is often more important than actual load time. Use when designing data-heavy components, handling API calls, building hero sections, or improving the feel of a slow interface.

Use when integrating, porting, calibrating, or debugging MCU sensor drivers, register maps, I2C/SPI transport, interrupts, FIFO, timing, or data conversion

In large applications, information architecture determines whether users can find, understand, and act on data. Naming matters. The UI should mirror the data model and signal how data can be transformed. Dangerous or irreversible changes always require a confirm dialog. Use when designing navigation, naming entities, structuring large feature sets, or modelling data-driven UI.

Use when analyzing a corpus of a user's Reddit posts to extract their writing voice, tone, structural patterns, and vocabulary into a reusable style guide. Invoked during /reddit-setup and re-invokable standalone if the user wants to refresh their style file after writing more posts.

Fewer words, sharper thought. Think twice, write once. Say only what silence cannot carry. The rest, the reader already knows. Trigger: "laconic mode", "be laconic", "/laconic", "less tokens".

Creates implementation plans for ALL work scenarios. MANDATORY entry point for the PLAN phase. 8-step workflow: Intent -> Discovery -> Scenario -> Context -> Template -> Approach -> Session -> Approval 2 scenarios: AGENTING (ecosystem work), DOCUMENTATION (context creation & refinement)

Manage the BCOS self-learning ladder: list learned rules, forget a rule, regenerate learned-rules.json from resolutions.jsonl. Mechanical-only — reads/writes derived artifacts; the actual learning happens via record_resolution.py at click time. Invoke with /learning.

Pipeline skill — turns a URL or DESIGN.md into a concrete UI structure with decisions already made. Extracts live design tokens, normalizes them into a semantic system, applies UX principles, and outputs an actionable UI spec. Use when building UI for an existing brand from scratch, auditing a design system, or refactoring visual inconsistency.

Use ao integrar, configurar ou depurar CMSIS-DSP, funções matemáticas ARM, FFT, filtros, DSP de ponto fixo, matemática vetorial ou processamento de sinal Cortex-M.

Use when integrating, porting, configuring, or debugging EasyLogger output, filters, timestamps, colors, async logging, flash logging, or embedded log loss