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designnotdrum AI Skills

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Browse published AI skills maintained by designnotdrum. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

14

Repository stars across indexed skills

14

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

14 skills

Browse skills

GitHub

using-perplexity-for-context

designnotdrum

Automatically use Perplexity search for personalized context enrichment. Use when facing unfamiliar technologies, decision points, learning questions, or preference-dependent choices.

GitHub

scan

designnotdrum

On-demand trend scan for a topic. Search HN and GitHub for what's happening now.

GitHub

release

designnotdrum

Build, bump version, commit, and push a brain-jar plugin release. Usage: /release [message]

GitHub

forensicsinvestigate

designnotdrum

Guided workflow for reverse engineering black-box systems. Use when a user wants to decode a defunct API, replicate a competitor's feature, understand unfamiliar code, or crack a data format.

GitHub

capture

designnotdrum

Capture thinking visually during brainstorming, architecture discussions, or explaining flows. Creates persistent Mermaid diagrams.

GitHub

learning-about-you

designnotdrum

Proactively learn about the user through onboarding and ongoing observation. Use at session start and when you notice potential preferences.

GitHub

continue-diagram

designnotdrum

Continue working on an existing diagram. Load, review, and modify persistent diagrams across sessions.

GitHub

summarize

designnotdrum

Manually trigger an activity summary for a scope. Use when you want to capture and store a summary of recent activity.

GitHub

managing-memory

designnotdrum

Guide for storing enriched memories that capture decisions, preferences, and context. Use when making significant decisions or learning user preferences.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.